Organizador(es): Departamento Administrativo Nacional de Estadística (DANE-Colombia) / División de Estadística de las Naciones Unidas (UNSD-DESA)

Organizador(es): Comité del Programa del Foro Mundial de Datos de las Naciones Unidas (UNWDF PC)

Prem Ramaswami
Google

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Prem Ramaswami

Organizador(es): Athena Infonomics LLC; Agencia de los Estados Unidos para el Desarrollo Internacional (USAID)

Antecedentes; 

Incorporar de forma consciente la inclusión en los datos y la innovación digital es crucial para lograr la agenda de desarrollo sostenible. Reconociendo este imperativo, Athena Infonomics, junto con Genesis Analytics y la Oficina de Resiliencia, Medio Ambiente y Seguridad Alimentaria (REFS) de USAID, lanzaron el conjunto de herramientas de Diseño Digital Inclusivo (IDD) en noviembre pasado. El conjunto de herramientas IDD sirve como una guía integral, fácil de usar para el personal de organizaciones donantes, gobiernos y socios implementadores sobre cómo diseñar innovaciones digitales y de datos inclusivos. El conjunto de herramientas IDD proporciona: Una comprensión integral de lo que significa la inclusión, porqué es importante ser inclusivo y, orientaciones y herramientas prácticas y aplicables. El conjunto de herramientas reconoce que la inclusión digital es inevitable y que debemos trabajar activamente para lograrlo. Sabemos que las soluciones estratégicamente diseñadas pueden empoderar a las personas, y este conjunto de herramientas sirve para hacer esto mismo con las innovaciones en el mundo digital y de datos. Diseñado como una guía práctica, el kit de herramientas y el libro de trabajo que lo acompaña incluyen módulos que combinan contenido informativo, minicasos y actividades. 

Enfoque de la sesión: Nuestra propuesta se centra en una actividad de aprendizaje interactivo orientada a guiar a grupos de participantes en el diseño de una intervención digital inclusiva. Los moderadores idearían una simulación, presentando una solución de datos hipotética y sus planes de implementación. Por su parte, los participantes explorarán en colaboración estrategias para incorporar el diseño inclusivo dentro del programa. ¿Cómo pueden mejorar el acceso, la agencia y el compromiso con su solución? Utilizarán el conjunto de herramientas y el libro de trabajo de IDD como guía para pensar en los diferentes aspectos de la inclusión de datos y cómo actuar en ellos. La sesión interactiva tiene como objetivo desafiar las nociones preconcebidas sobre la inclusión, alentar a los participantes a pensar en métricas de exclusión digital en su trabajo y ayudar a diseñar pasos prácticos para cerrar esta brecha en sus programas. La actividad enfatizará la complejidad de las realidades de los usuarios potenciales, al reconocer los factores que influyen en su capacidad para utilizar, interactuar y beneficiarse de las herramientas digitales. Buscaremos proporcionar un marco de inclusión estructurado para ayudar a los participantes a evaluar los esfuerzos en curso para hacer que las tecnologías digitales/basadas en datos sean accesibles y beneficiosas. Esta sesión dinámica está dirigida a profesionales que trabajan con herramientas digitales y soluciones basadas en datos en el ámbito del desarrollo sostenible.

Josh Woodard
United States Agency for International Development (USAID)

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Josh Woodard

Josh Woodard is the USAID Bureau for Resilience, Environment, and Food Security’s Senior Digital Advisor, a position he has served in since 2021. He has close to twenty years of experience working in the technology for development space. Josh is the primary designer of studies on inclusive AI and automation in agri-foods systems, and farmer-centric data governance, as well as the inclusive digital design toolkit and breaking silos through digital technologies guidance note. He has extensive experience in digital agriculture and resilience, particularly in Asia and Africa. He has also served as a primary author of the FAO and ITU’s National e-Agriculture Strategy guide, which he helped the governments of Sri Lanka and Bhutan to implement. From 2009-2013, he led USAID’s FACET project, which focused on promoting the uptake of ICT in agriculture projects across sub-Saharan Africa.

Deepa Karthykeyan
Athena Infonomics LLC

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Deepa Karthykeyan

Organiser(s): Google; Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); MAKAIA; Organización para la Cooperación y el Desarrollo Económico (OCDE); ONE Campaign

Joseph Hassine
Google

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Joseph Hassine

Prem Ramaswami
Google

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Prem Ramaswami

Steve MacFeely
Organisation for Economic Co-operation and Development (OECD)

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Steve MacFeely

Ingrid Johana Espitia Riveros
MAKAIA

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Ingrid Johana Espitia Riveros

Gayle Smith
ONE Campaign

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Gayle Smith

Stefan Schweinfest
United Nations Statistics Division (UNSD-DESA)

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Stefan Schweinfest

Stefan Schweinfest was appointed Director of the Statistics Division (UNSD/DESA) in July 2014. Under his leadership, the Division compiles and disseminates global statistical information, develops standards and norms for statistical activities including the integration of geospatial, statistical and other information, and supports countries' efforts to strengthen their national statistical and geospatial systems.Stefan Schweinfest started his career joining the Statistics Division in 1989 in the area of national accounting. He subsequently worked in various other areas, such as statistical capacity building programmes, and indicator frameworks. For many years, he was also responsible for external relationships of the Division, both with member countries as well as with international partner organizations. He has been the substantive secretary of two intergovernmental bodies, the United Nations Statistical Commission (UNSC) since 2002, and the United Nations Committee of Experts on Global Geospatial Information Management (UNGGIM) since 2011.As the Director of the Statistics Division, Stefan Schweinfest supported the work of Statistical Commission and its Inter-Agency and Expert Group on Sustainable Development Goal Indicators (IAEG-SDGs) to develop the global indicator framework to monitor progress towards the SDGs, which was adopted by UNSC at its 48th session in March 2017 and subsequently by ECOSOC and the General Assembly. Under his leadership, the Division works on implementing this framework and ensuring countries receive capacity building support to monitor progress towards the SDGs.He played a key role in the negotiations leading to the 2011 ECOSOC resolution to establish UN-GGIM and has actively involved himself with global geospatial information management since, including the negotiations leading to a second ECOSOC resolution in 2016 that strengthens and broadens the mandate of this Committee of Experts.He was the Officer-in-Charge of DESA's Division for Public Institutions and Digital Government (DPIDG) from 1 March 2018 until 28 February 2019.Stefan Schweinfest studied Mathematical Economics at the Universities of Wuerzburg and Bonn in Germany. He holds a Diplome D'Etudes Approfondies (Masters equivalent) from the University of Paris in these fields. He also conducted postgraduate research at the London School of Economics (LSE).In his private time, he likes to sing and has performed numerous concerts with his chorus in Carnegie Hall. He is also a passionate marathon runner and loves to hit the road all over the world.

Organiser(s): Instituto Dans de Derechos Humanos; Consejo de Derechos Humanos, Groenlandia; Plan Internacional; Coalicin Internacional por la Tierra (ILC); Federacin Mundial de Sordos; Centro de Recursos para Empresas y Derechos Humanos; Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Comit Directivo de Datos Ciudadanos Colaborativos (apoyado por 10 organizaciones)

Information and data are crucial for addressing the complex development needs of marginalized groups. However, many communities face a significant data gap concerning their lived experiences. This event aims to capture and discuss social mobilization experiences where rightsholders, organizations, and independent institutionsoften not traditional data sourcesdecide to take control. This can happen by becoming data producers themselves or partnering with traditional data producers and other stakeholders to advocate for better data on issues that matter to them. Taking data into their own hands is an act of self-empowerment and a way to seek visibility and be heard through the production of data that is not yet collected. These initiatives challenge the status quo of data inequalities and shift the power dynamics regarding who controls data and who decides what should become data. This event will connect the broader data community at the World Data Forum with actors who are taking data into their own hands to discuss and be inspired by: (1) their pathways toward becoming data producers, (2) the enabling environment for these initiatives to flourish, (3) the added value of their traditional and non-traditional data collection methods in improving the realization of their rights, and (4) the support they need for sustainable production and use of citizen data. Drawing inspiration from these cases and communities, the event will also invite the World Data Forum Community to co-create a roadmap for implementing the Copenhagen Framework on Citizen Data, developed by the Collaborative on Citizen Data in 2024. Specifically, we will hear from the World Data Forum participants on (a) the applicability of the Framework, (b) important steps to foster an enabling environment and implement the Framework that works for communities and citizens, and (c) their interest in joining the Collaborative.

Saionara Reis
Danish Human Rights Institute

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Saionara Reis

Saionara Reis is the Team Leader for SDG Accountability at the Danish Institute for Human Rights where she leads the work on data partnerships to promote the use of non-traditional data and human rights data for development decision-making. Previously, Saionara was the Head of Office and Representative to the United Nations for the NGO Dianova International in New York, where she also worked with UNDP on monitoring and reporting on SDG16 (Peace, Justice and Inclusion). Saionara has also been the Legal Advisor to a former vice-president of the Inter-American Court of Human Rights. In addition, she has experience working with NGOs in Ethiopia and Brazil, as well as with governmental institutions, including the former Brazilian Ministry of Women’s Affairs.

Cristian Llanos
ALLIED Data working group and CINEP

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Cristian Llanos

Mary Shawa
Plan International

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Mary Shawa

Organizador(es): Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO); Universidad de Columbia; Universidad de Cornell; Alianza Mundial para la Mejora de la Nutrición (GAIN)

Los cambios en los sistemas alimentarios son esenciales para lograr la mayoría de los 17 Objetivos de Desarrollo Sostenible (ODS). Faltando menos de una década para alcanzar los ODS y en medio de varias crisis globales, el mundo enfrenta una coyuntura crítica para transformar los sistemas agroalimentarios de modo que fomenten dietas saludables de manera sostenible, resiliente, justa y equitativa. La transformación de los sistemas alimentarios requiere información que sea actualizada periódicamente respecto al estado para guiar las intervenciones y realizar un seguimiento de sus impactos y avances. Los indicadores acordados comúnmente  pueden ayudar a quienes toman las decisiones sobre diseño, monitoreo y evaluación de políticas públicas. Para que los responsables de toma de decisión confíen en ellos y los adopten, es necesario que los indicadores se seleccionen cuidadosamente para que sean relevantes, de la más alta calidad, interpretables y útiles para satisfacer las necesidades reales de las partes interesadas. Esta sesión mostrará cómo se utilizó un proceso de múltiples partes interesadas para llegar a un consenso sobre un conjunto de indicadores para monitorear los sistemas alimentarios, presentando el trabajo de la Iniciativa de Cuenta Regresiva de los Sistemas Alimentarios hasta 2030 (FSCI). La FSCI se formó a partir del impulso de la Cumbre de Sistemas Alimentarios de 2021 para desarrollar un sistema de información riguroso, independiente y con base científica que pueda utilizarse para rastrear el progreso de los sistemas alimentarios del mundo y guiar la acción. Los participantes tendrán la oportunidad de conocer más sobre esta experiencia donde se convocaron diferentes comunidades, para que a partir del trabajo conjunto se puedan alcanzar objetivos más ambiciosos. También se les invitará a considerar cómo un conjunto holístico de indicadores y datos puede ayudar a los países a avanzar hacia sus objetivos. La Cumbre de las Naciones Unidas sobre Sistemas Alimentarios catalizó la acción en materia de sistemas alimentarios, pero los formuladores de políticas a menudo carecen de los datos necesarios para tomar decisiones críticas. La FSCI está llenando ese vacío, al haber identificado un marco de indicadores compuesto por 50 indicadores que monitorean los sistemas alimentarios de países de todo el mundo, que emplean datos existentes para permitir acción inmediata. Reutilizar los datos existentes, en lugar de llevar a cabo nuevas investigaciones que consumen mucho tiempo, significa que los responsables de la formulación de políticas tienen acceso rápido a información relevante cuidadosamente seleccionada para garantizar su calidad y su adecuación a las decisiones sobre sistemas alimentarios. A finales de 2021, la FSCI publicó una arquitectura compuesta por cinco áreas temáticas: dietas, nutrición y salud; medio ambiente, recursos naturales y producción; medios de vida, pobreza y equidad; gobernancia; y resiliencia. Cada tema contiene de tres a cinco dominios de indicadores que en conjunto brindan una imagen integral de los sistemas alimentarios. (Fanzo et al., 2021; Enlace: https://www.sciencedirect.com/science/article/pii/S0306919221001433). A continuación, la FSCI emprendió un proceso de consulta con expertos científicos adicionales y partes interesadas en políticas para seleccionar un conjunto de indicadores existentes. El proceso de consulta seleccionó 50 indicadores, una lista lo más concisa y completa posible teniendo en cuenta los indicadores y datos disponibles, para los cuales se ha compilado una línea de base global de los sistemas alimentarios (Schneider et al., 2023; enlace: https://www.nature .com/articles/s43016-023-00885-9).

Benjamin Rothen
Swiss Federal Statistical Office (SFSO)

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Benjamin Rothen

Kate Schneider
Johns Hopkins University

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Kate Schneider

Jose Rosero Moncayo
Food and Agriculture Organization of the United Nations (FAO)

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Jose Rosero Moncayo

Stella Nordhagen
Global Alliance for Improved Nutrition (GAIN)

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Stella Nordhagen

Organizador(es): Instituto Nacional de Estadísticas (INE-Chile); Instituto Nacional de Estadística y Geográfica (INEGI-México); Agencia de Cooperación Internacional para el Desarrollo, Chile; Secretaría de Relaciones Exteriores, México / Organización Internacional para las Migraciones (OIM) / Instituto de Investigación de Sistemas Ambientales (Esri); AfroLiderazgo; LUGAR; Pop mundial/Universidad de Southampton.

Las Oficinas Nacionales de Estadística (ONE) enfrentan desafíos planteados por una base de usuarios cada vez más exigente que busca acceso a una mayor variedad de datos, más desagregados y de manera más oportuna. Al mismo tiempo, las ONE se enfrentan al desafío de monitorear los Objetivos de Desarrollo Sostenible (ODS), lo que hace urgente la necesidad de métodos más eficientes e innovadores para aprovechar grandes volúmenes de datos disponibles debido a la transformación digital de la sociedad. En respuesta a estos requisitos de información en evolución, Las ONE están adoptando enfoques innovadores para aprovechar fuentes de datos alternativas y métodos modernos de procesamiento y análisis de datos. Es en este contexto que el Instituto Nacional de Estadística de Chile (INE) y el Instituto Nacional de Estadística y Geografía de México (INEGI) colaboran en un proyecto bilateral financiado por las agencias de cooperación internacional para el desarrollo de ambos países (AGCID y AMEXID, respectivamente). El proyecto tiene como objetivo desarrollar una plataforma tecnológica de código abierto orientada a integrar diversas fuentes de información para mejorar la utilización de los productos de la oficina de estadística. La plataforma tecnológica desarrollada se fundamenta en un razonamiento de lago de datos, debido a sus propiedades. por nombrar algunas, permite: i) trabajar con diversos formatos de datos estadísticos y geoespaciales, de fuentes tradicionales y no tradicionales; ii) establecer flujos de trabajo para recopilar, almacenar, procesar, analizar y presentar sistemáticamente información de repositorios de datos internos y externos; iii) preservar el linaje y la integridad de los datos; y iv) encadenar flujos con herramientas de visualización. El stack tecnológico para el lago de datos, diseñado e implementado en colaboración con INEGI, implica el uso del software Dagster para orquestar el pipeline de Extracción, Transformación y Carga (ETL). Luego, en la etapa final del ETL, los datos transformados a partir de las fuentes originales se almacenan como objetos S3 en el software MinIO y luego se virtualizan a través del motor SQL Trino, que emplea Hive como tecnología para almacenar los datos virtualizados en tablas optimizadas para consultas masivas. Finalmente, el componente utilizado para generar visualizaciones a partir de las consultas es Apache Superset. Todos los componentes del flujo se implementan en contenedores Docker individuales pero se comunican entre sí. Esto permite actualizar un panel cada vez que se ejecuta el flujo ETL. Todas las tecnologías mencionadas aquí son de código abierto. El caso de uso que se revisará en esta demostración es el cálculo y explotación del Índice de Rotación Laboral, construido a partir de los registros administrativos de accidentes de trabajo y enfermedades profesionales en Chile. / Pocos temas son tan polarizadores como la migración, algo que resulta peligrosamente polarizador en el clima político actual. Además del cambio climático, al que también está íntimamente ligado, la movilidad humana seguirá impregnando casi todos los fenómenos del futuro. Los datos muestran que la migración es inevitable, necesaria y, cuando está bien gobernada, deseable. El noventa y seis (96,4) por ciento de la migración se produce a través de vías regulares y documentadas. La migración genera una producción económica anual de alrededor de 9 billones de dólares. Una escasez de mano de obra sin precedentes cuesta a las economías más grandes del mundo más de 1 billón de dólares al año. Las remesas a países de ingresos bajos y medianos (647 dólares estadounidenses) continúan superando las inversiones extranjeras directas y la acción oficial para el desarrollo. La migración es una necesidad fiscal en economías con poblaciones que envejecen. Y, sin embargo, la retórica infundada acusa a los inmigrantes de robar empleos y derrochar el bienestar, elevar los niveles de criminalidad, robar recursos, etc., nada de lo cual puede corroborarse con datos. Esta retórica vacía desestabiliza la política y daña el potencial que los migrantes aportan a las sociedades, sin mencionar que también pone en riesgo sus derechos y vidas a niveles alarmantes (al menos 60.000 personas murieron desde 2014); los datos cuentan una historia crítica. Anclado dentro de una agencia de la ONU, pero con una marca neutral, el Portal de Datos sobre Migración Global une y eleva los datos disponibles públicamente de todo el mundo para proporcionar conocimientos de 360 grados que ayudan a desacreditar y desmitificar la migración, y que promueven debates y narrativas saludables y basados en hechos. El Portal tiene como objetivo hacer que los datos sean accesibles y fáciles para los tomadores de decisiones, al mismo tiempo que apoya a los periodistas para que realicen informes más sólidos y ricos en datos sobre la migración. La exposición interactiva mostrará su tablero que cubre 80 indicadores para la migración internacional, su sección de datos nacionales, una nueva herramienta interactiva sobre los impactos de la movilidad climática para anticipar las poblaciones vulnerables expuestas a los peligros climáticos hasta 2090, y la recopilación más sólida de datos de los ODS relevantes para la migración. en el que explica las prioridades, fortalezas y debilidades de los datos para cada objetivo y meta de los ODS, y vincula a ejemplos positivos con la esperanza de inspirar una mejor recopilación de datos a nivel nacional. A través de la exhibición, los participantes aprenderán sobre los enfoques innovadores para llenar los vacíos de datos, promover la accesibilidad y la alfabetización en datos, y consolidar fuentes para el bien común de la migración. A través de la sesión y el compromiso con los participantes, así como la participación en todo el Foro, el equipo del Portal buscará ideas y oportunidades para poblar mejor sus secciones; y, si bien el Portal se ha establecido como un recurso confiable, con un promedio de 80 mil usuarios mensuales, busca un enfoque más sólido para medir el impacto en las decisiones y las narrativas migratorias. Las sesiones y el networking ayudarán considerablemente al equipo del Portal con inspiración, ideas e innovaciones que ayudarán le ayudrán a cumplir mejor su misión de ayudar a las sociedades a aprovechar el potencial de la migración y catalizar políticas y decisiones que ayuden a salvar y proteger las vidas de los migrantes. / El cambio climático nos afecta a todos, pero ¿cómo se comparan su ciudad y su vecindario con otras comunidades, o incluso con otros países? ¿Y cómo afecta esto a la equidad y la igualdad? No todos los habitantes de su ciudad se ven igualmente afectados por los problemas relacionados con el clima, como el calor urbano o las inundaciones. Se necesitan datos estadísticos detallados en combinación con datos geoespaciales. El cambio climático es inherentemente espacial: los cambios en los patrones climáticos y en el comportamiento humano e industrial están creando nuevos peligros en todo el mundo. La tecnología de los sistemas de información geográfica (SIG) nos ayuda a ver dónde están o es probable que estén los riesgos, analizar los impactos, priorizar las estrategias de gestión y planificar un futuro sostenible. SIG es capaz de analizar y comparar múltiples temas de datos, entre la población y la demografía relacionada. Este taller guía a los participantes a través de los pasos para utilizar una colección global de datos geográficos y estadísticos abiertos y listos para usar para derivar las variables de entrada necesarias para calcular un índice de resiliencia al calor (HRI). Combinando estos datos podemos agregar contexto al riesgo: qué está sucediendo, dónde y quién se ve afectado. Deduciremos la temperatura de la superficie terrestre utilizando imágenes Landsat, mapearemos la copa de los árboles dentro de una ciudad utilizando el mapa de cobertura terrestre de la Agencia Espacial Europea y luego calcularemos la densidad de población (quiénes están afectados) utilizando los datos de WorldPop. También se muestran ejemplos de datos de población alternativos. Las comunidades locales pueden utilizar el mapa resultante centrado en la intervención para priorizar las zonas censales para plantar árboles (o agregar otro tipo de sombra) como una mitigación contra los efectos de las islas de calor urbanas. Estamos enfocados en apoyar a los tomadores de decisiones en África; sin embargo, esta metodología y los resultados se aplican por igual en todo el mundo. Nuestro trabajo involucra a ONG, universidades y empresas que trabajan juntas para brindar desarrollo de capacidades basado en datos. El objetivo de este taller es proporcionar a los participantes el conocimiento y el flujo de trabajo para tomar decisiones en el mundo real al utilizar una combinación de datos estadísticos y herramientas de análisis, y, difundir esta información de una manera impactante para quienes toman decisiones y el público en general. ¡Datos estadísticos en contexto y en acción!

Michael Gould
Environmental Systems Research Institute (Esri)

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Michael Gould

Charlie Martial Ngounou
AfroLeadership

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Charlie Martial Ngounou

Elio Atenogenes Villasenor Garcia
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)

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Elio Atenogenes Villasenor Garcia

Ignacio Agloni
Instituto Nacional de Estadisticas (INE-Chile)

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Ignacio Agloni

Kerry Maze
International Organisation for Migration (IOM)

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Kerry Maze

Asha Manoharan
International Organisation for Migration (IOM)

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Asha Manoharan

Organizador(es): Programa de las Naciones Unidas para el Desarrollo (PNUD); Politécnico de Milán; Ministerio de Medio Ambiente y Recursos Naturales, Guatemala; Comunidad del Pacífico (SPC).

En la producción práctica de estadísticas ambientales, es común utilizar diversos métodos diferentes a los recomendados en los manuales. En general, las estadísticas ambientales deben ser flexibles, multipropósito, estructuradas, agregadas, y dirigidas a una comunidad amplia como las ONE; ministerios y agencias ambientales, todos los cuales dependen de la evidencia para sus procesos de toma de decisión. Si bien los datos sobre las condiciones ambientales están en el centro de los sistemas de seguimiento, el potencial de las metodologías emergentes para mejorar la calidad de estos datos es inmenso. Los métodos tradicionales e innovadores eficaces pueden contribuir significativamente a mejorar el análisis, la investigación y la formulación de políticas. Esta sesión presentará tres innovaciones ambientales para obtener datos mejores y más inclusivos. Primero, un proceso de diseño para una Encuesta sobre peligros naturales y cambio climático, donde se destaque cómo la Comunidad del Pacífico (SPC) está guiando a los Países y Territorios de las Islas del Pacífico (PICT) para llenar las brechas en los datos utilizando información basada en encuestas recopiladas a nivel de hogares. Con ello se pretende cuantificar los impactos de los peligros naturales y el cambio climático, y medir las tendencias hacia prácticas adaptativas y resilientes frente al cambio climático. En segundo lugar, un experimento de ciencia ciudadana de crowdsourcing que utiliza la gamificación demuestra su potencial para generar nuevos datos y al mismo tiempo fomentar la gobernanza ambiental. PreserVamos permite a los ciudadanos recopilar datos de forma colaborativa, reduciendo la carga de recopilación de datos para los gobiernos. Esto fomenta la participación ciudadana y la gobernanza ambiental, lo que en última instancia conduce a una formulación de políticas basada en evidencia y una mejor gestión de la calidad del agua. El experimento, realizado en Argentina, implicó un mapeo participativo de ecosistemas de agua dulce en tres ciudades con distintos niveles de participación ciudadana, científica y gubernamental. Los resultados incluyen mayores mediciones de la calidad del agua y solicitudes de actualizaciones de aplicaciones por parte de los funcionarios. En tercer lugar, un enfoque de múltiples capas para innovar el monitoreo de políticas ambientales que aprovecha la visión por computadora (IA), los métodos de análisis geoespacial (SIG) y la cartografía abierta. Se destacan los esfuerzos coordinados clave para implementar soluciones basadas en datos para los gobiernos centrales y locales, mejorando las capacidades de monitoreo sobre la gestión de residuos sólidos y la protección de las cuencas fluviales. De esta manera, se colocan los peldaños hacia una transformación digital inclusiva haciendo hincapié en la escalabilidad, la rentabilidad y la flexibilidad. Este trabajo está dirigido por el Laboratorio Acelerador del PNUD y el Ministerio de Medio Ambiente de Guatemala, con el apoyo de diversos socios, incluidos el Politecnico di Milano, el Laboratorio de IA de los ODS del PNUD, especialistas en SIG del PNUD y OpenStreetMap Humanitario. En general, esta sesión demuestra que la mejora de los sistemas ambientales nacionales depende de la calidad de los datos y es específica del contexto, donde las metodologías probadas comprenden métodos tradicionales pero eficientes de recopilación de datos, la participación de los ciudadanos para optimizar los esfuerzos de recopilación de datos, y tecnologías geoespaciales con arquitecturas abiertas y escalables.

Monica Madrid
Pacific Community (SPC)

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Monica Madrid

Lorena Moscovich
United Nations Development Programme (UNDP), Accelerator Labs

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Lorena Moscovich

Carlos Mazariegos
United Nations Development Programme (UNDP), Accelerator Labs

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Carlos Mazariegos

Martin Szigeti
United Nations Development Programme (UNDP), SDG AI Lab

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Martin Szigeti

Organizador(es): Ministerio de Estadística e Implementación de Programas (MoSPI-India) / Oficina de Estadísticas Nacionales (ONS-Reino Unido) / Vital Strategies / Polidata.

El Gobierno de la India está comprometido con el logro de los Objetivos de Desarrollo Sostenible (ODS) y ha desempeñado un papel de liderazgo en la definición de los contornos de la agenda 2030. El Ministerio de Estadística e Implementación de Programas (MoSPI) participa en el desarrollo de marcos de seguimiento de los ODS a nivel nacional, subnacional y local. Algunas de las iniciativas de MoSPI en el desarrollo de marcos de monitoreo para los ODS son las siguientes: Marco de indicadores nacionales (NIF): MoSPI, en consulta con las partes interesadas relevantes, ha desarrollado un Marco de Indicadores Nacionales (NIF) para los ODS para facilitar el monitoreo del progreso de los ODS a nivel nivel nacional. El NIF está sincronizado con el Marco de Indicadores Globales (GIF) para los ODS. El NIF es de naturaleza evolutiva, lo que requiere revisión/perfeccionamiento ocasional, debido, entre otras cosas, al perfeccionamiento del GIF, las prioridades nacionales, los nuevos avances en las tecnologías y la disponibilidad de datos. Sobre la base de los datos recibidos de los ministerios, que son fuente de datos sobre los indicadores nacionales de los ODS contenidos en el último NIF, el MoSPI publica anualmente un informe de progreso sobre los ODS. Marco de indicadores estatales para los ODS: Los Estados/UT tienen la responsabilidad principal de dar seguimiento y revisar el progreso realizado en la implementación de los ODS y metas asociadas a niveles subnacionales. MoSPI también está brindando apoyo técnico a los Estados/UT en el desarrollo de marcos de monitoreo a nivel subnacional para los ODS. En este esfuerzo, el Ministerio desarrolló ciertas Directrices en julio de 2019 y las actualizó en marzo de 2022. Marco de indicadores locales (LIF): Ministerio de Panchayati Raj (MoPR), el Gobierno de la India está anclando el proceso de localización de los Objetivos de Desarrollo Sostenible (LSDG). ) en las instituciones Panchayati Raj (PRI). En consecuencia, el MoPR inició un enfoque temático agregando 17 ODS en 9 temas amplios para la localización de los ODS a nivel de base. MoSPI brindó el apoyo técnico necesario al MoPR en el desarrollo del Marco de Indicadores Locales (LIF). Marco de indicadores a nivel de distrito y subdistrito: Algunos de los estados/UT han desarrollado marcos de seguimiento a nivel de distrito y subdistrito. Estos marcos de seguimiento desempeñan un papel fundamental en el seguimiento del progreso de los ODS en diferentes niveles administrativos. Los ODS proporcionan una plataforma donde el requisito de datos es tan alto que no solo depende de las estadísticas oficiales a través de registros administrativos y datos de encuestas, sino que también fomenta la exploración de nuevas tecnologías/metodologías como el uso de datos geoespaciales/de teledetección, big data, datos generados por la ciudadanía, entre otros, para satisfacer los requisitos de datos de los ODS, así como para desempeñar el papel más crítico en la planificación eficiente, la implementación adecuada, el seguimiento eficaz, la evaluación indicativa y la toma de decisiones basada en evidencia. / Esta sesión se centrará en el Servicio Integrado de Datos, un nuevo servicio intergubernamental del Reino Unido que crea un cambio radical en la forma en que los datos sobre la sociedad y la economía del país están disponibles para la investigación y la toma de decisiones vitales. Si bien la idea de compartir datos para maximizar el impacto no es nueva para la ONS, el IDS proporciona un eje central de datos accesibles de alta calidad y es un facilitador clave de la Estrategia Nacional de Datos del Gobierno del Reino Unido. Está diseñado para que lo utilicen analistas gubernamentales, administraciones descentralizadas e investigadores externos acreditados, y está optimizado para un uso gubernamental avanzado en un entorno seguro. La sesión mostrará proyectos, análisis y resultados intergubernamentales de alta prioridad realizados en el IDS y el impacto que estos han tenido en la maximización del uso de datos, previamente aislados en todo el gobierno para una mejor toma de decisiones para el bien público. La sesión también explorará las propuestas transformadoras que el Servicio está liderando en torno a la administración de datos y un nuevo modelo de integración, llamado Marco de Gestión de Datos de Referencia (RDMF). Este es un modelo de vinculación subyacente que permite asociar los datos según la necesidad del análisis de manera consistente y repetible. Los beneficios del RDMF incluyen una mejor calidad de los datos, accesibilidad y la facilitación del análisis colaborativo, fundamental para que el gobierno comprenda y aborde de manera efectiva los problemas más complejos que enfrenta la sociedad. Todos estos elementos fundamentales sustentan el propósito final de la IDS: formulación de políticas frecuentes y más efectivas que coloquen de manera segura los datos en el corazón mismo de la maquinaria gubernamental para su mejor uso posible y para ayudar a mejorar la vida de las personas. / Los datos sobre mortalidad pueden proporcionar información valiosa sobre la salud de una población, ofrecer información sobre quién está muriendo y por qué, ayudar a identificar factores de riesgo que pueden mitigarse y proporcionar una indicación de la verdadera carga de las epidemias y otras emergencias. Sin embargo, muchos departamentos de salud de los países de ingresos bajos y medianos realizan análisis limitados, restringidos a datos sobre programas específicos y basados únicamente en las muertes dentro de los centros. A menudo se depende de otros organismos, como las oficinas nacionales de estadística, para producir informes de estadísticas vitales. Estos datos, que idealmente deberían proporcionar una visión más holística de todas las muertes, no se interrogan ni analizan más. De la misma manera, los departamentos de salud rara vez intentan triangular las fuentes de datos disponibles sobre mortalidad. La razón de esta deficiencia puede estar relacionada con el hecho de que esto no se considera su función o no existe una unidad encargada de esta responsabilidad. Por lo tanto, existe la posibilidad (y un alto valor agregado) de realizar análisis de mortalidad más sólidos de manera rutinaria. Esta sesión de charla esclarecedora se abrirá con una presentación sobre el valor del análisis de datos de mortalidad en los departamentos de salud, destacando las fuentes potenciales y describiendo el estado actual de dicho análisis en 22 PIBM que forman parte de la Iniciativa de Datos para la Salud de Bloomberg Philanthropies. A esto le seguirán presentaciones de dos de los países miembros. En Perú, el Ministerio de Salud publicó un informe de mortalidad en 2018, que proporciona un análisis de tendencias de 30 años con varias desagregaciones. Estos análisis identificaron las principales causas de muerte, observaron cambios en la distribución a lo largo del tiempo e informaron sobre las desigualdades en subpoblaciones de diferentes grupos socioeconómicos y geográficos. Los resultados permitieron al ministerio reorientar sus prioridades de salud y revisar los programas de salud. Por ejemplo, tras la publicación del informe se llevó a cabo una campaña de vacunación neumocócica centrada en adultos mayores. La metodología para el análisis de tendencias estuvo bien documentada, ha sido replicada y está disponible para futuras adaptaciones y actualizaciones. Por otro lado, durante la pandemia de COVID-19, el Ministerio de Salud y Acción Social de Senegal estableció rápidamente un sistema para rastrear las muertes ocurridas en todos los hospitales del país. Esto les permitió evaluar mejor el impacto de la pandemia. El Ministerio estableció un sistema para producir boletines mensuales que presentan datos del sistema de vigilancia de la mortalidad a las partes interesadas gubernamentales internas y produjo dos informes anuales. El informe de 2021 incluyó datos de otras fuentes como la encuesta demográfica y de salud. Hay planes para ampliar la vigilancia a otros niveles de los centros de salud, pero mientras tanto, el Ministerio está desarrollando un portal que hará que estos datos sean más accesibles para los tomadores de decisiones y el público. Esta sesión dinámica proporciona ejemplos del mundo real del valor del análisis de la mortalidad para la formulación de políticas y servirá para inspirar y guiar a otros gobiernos a tomar medidas similares. / La gestión pública basada en datos ha demostrado ser una valiosa herramienta para incrementar la eficiencia y efectividad de los gobiernos locales. No obstante, rara vez se examinan, desde una perspectiva basada en evidencia, los procesos asociados a la gestión de datos en estos entornos gubernamentales. En este contexto, la presente charla se propone explorar la viabilidad y la efectividad de los esquemas de incorporación de microdatos en la gestión pública, tomando como caso de estudio la experiencia de la Subdirección de Prospectiva, Información y Evaluación Estratégica de la Alcalda de Medellín durante el periodo 2021-2023. Este enfoque de gestión pública se centra en la coordinación y estandarización de la documentación técnica y los procesos de generación de datos con miras a una mejor toma de decisiones, con una apuesta enfocada en microdatos que pretende organizar técnicamente los procesos administrativos y fundamentarlos en datos. Este caso retoma el trabajo cotidiano de los profesionales encargados de la data en la Subdirección de Perspectiva de Información y Evaluación Estratégica de la Alcalda de Medellín, y exponen cómo mediante el uso de este modelo de gestión se avanza en una estandarización de acciones y objetivos de sus procesos, lo que se traduce, en materia de recursos, capacidades y oportunidades, en mayor eficiencias que conducena un proceso de gestión pública más eficiente y exitoso. Además, este caso demuestra que no se requieren grandes inversiones en desarrollos tecnológicos para iniciar en este tipo de apuestas en la gestión pública, sino que es preciso coordinar los recursos tecnológicos existentes en armonía con los procesos técnicos de las dependencias y/o equipos. Abordar esta temática es crucial para entender cómo maximizar el uso y valor de los datos en la toma de decisiones. La charla destaca que, mediante la sistematización y estandarización, es posible no solo incrementar la eficiencia de los procesos internos, sino también mejorar la calidad de las decisiones estratégicas en la gestión pública. Asegurando que los datos sean accesibles, confiables y estén bien organizados, la Subdirección ha facilitado una mejor planificación y seguimiento de sus procesos, optimizando los resultados e impacto de sus iniciativas en Medellín. Este enfoque de gestión pública basada en microdatos destaca la importancia de los datos como un recurso estratégico en la administración pública, promoviendo un uso más estratégico e inteligente de la información para el beneficio de la sociedad.

Jasblleidy Piraz Garcia
Polidata

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Jasblleidy Piraz Garcia

Fiona James
Office for National Statistics (ONS-UK)

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Fiona James

Ashutosh Ojha
Ministry of Statistics and Programme Implementation (MoSPI-India)

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Ashutosh Ojha

Farnaz Malik
Vital Strategies

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Farnaz Malik

Farnaz Malik serves as a Senior Technical Advisor for the Data Impact (DI) Program within the Bloomberg Philanthropies Data for Health Initiative at Vital Strategies, bringing over 11 years of experience working on global health and policy initiatives. In her current role, Farnaz partners with country governments in Asia and Sub-Saharan Africa, providing technical assistance to inform evidence-based policymaking aimed at improving population health. She also leads the collaboration between the Civil Registration and Vital Statistics Improvement Program and the DI Program, focusing on the use of vital statistics for decision-making. Prior to Vital Strategies, Farnaz was a 2015-2016 Global Health Corps fellow at Housing Works where she worked on HIV/AIDS and housing policy advocacy at the national and global level. Farnaz holds an MPH in Epidemiology from the University of Michigan School of Public Health and a BA in Integrative Biology from the University of California, Berkeley.

Organiser(s): Por Confirmar

Organizador(es): Incubadora de Defensa de la Salud Global; Unidad de Equidad de Género, Escuela de Salud Pública John Hopkins Bloomberg; Consejo Indio de Investigaciones Médicas; Dirección de Operaciones del Censo y Registro de Ciudadanos (DCOCR-India); Fundación estatal del arco iris

El artículo 6 de la Declaración Universal de Derechos Humanos junto con varios instrumentos internacionales de derechos humanos garantizan que toda persona tiene derecho a ser reconocida como persona ante la ley. Como la cobertura del registro civil no es universal y completa en todos los países del mundo, la Agenda 2030 para el Desarrollo Sostenible estableció el indicador 17.19.2 que se centra en el registro de nacimientos y defunciones. Según el enfoque "Una ONU", los Estados miembros deberían crear sistemas integrales, sostenibles y de propiedad nacional de registro civil, estadísticas vitales y gestión de identidad. Teniendo en cuenta este enfoque, la presente sesión se centrará en los desafíos que enfrentan las personas lesbianas, gays, bisexuales, transgénero, queer, intersexuales y asexuales (LGBTQIA+) a la hora de registrar acontecimientos vitales, como el nacimiento y la defunción, y obtener documentos de identidad en la mayoría de los países de ingresos bajos y medios del mundo. La sesión describirá cómo la Incubadora de Defensa de la Salud Global (GHAI), como parte de la Iniciativa de Datos para la Salud de Bloomberg Philanthropies, ha desarrollado e implementado un enfoque inclusivo y basado en los derechos humanos para la equidad de género en el registro civil, las estadísticas vitales y la gestión de identidad (CRVSID). Alineado con el logro de la agenda global de desarrollo sostenible, GHAI brinda orientación sobre los marcos legales nacionales en comparación con las mejores prácticas internacionales para garantizar la igualdad de acceso a los servicios de registro civil para personas LGBTQIA+ que se ha utilizado internacionalmente y ha demostrado ser beneficioso para proporcionar una identidad legal a la comunidad. El enfoque "Una ONU", basado en los derechos, se ha puesto a prueba en asociación con el gobierno estatal de Rajasthan en India, involucrando a grupos de la sociedad civil LGBTQIA+ de todo el estado. La sesión propuesta sobre el alcance incluirá agencias CRVSID estatales/nacionales, expertos legales, organizaciones de la sociedad civil y grupos de derechos LGBTQIA+ que compartirán las barreras y soluciones que estos grupos de población enfrentan para acceder a los servicios de registro civil, los impactos de la falta de registro de personas LGBTQIA+ y cómo Las intervenciones legales permiten una mejor recopilación y uso de datos que representan a todos los individuos de la población. 

Objetivos 

1) Educar a la audiencia sobre la importancia de fortalecer los marcos legales de CRVSID y la promesa que conlleva de garantizar que todas las personas en el país tengan igual acceso a los servicios de registro de eventos vitales. 2) Compartir experiencias de los países en la integración de la equidad de género en CRVSID, lo que hace que estos sistemas sean más inclusivos y receptivos a las necesidades de todos los grupos poblacionales. 

Resultado: El principal logro será fortalecer el registro civil entre los grupos LGBTQIA+, describir cómo los países pueden garantizar el acceso igualitario de todas las personas a los servicios de registro civil para lograr una cobertura completa, permitir la generación de estadísticas vitales de calidad para la planificación y el desarrollo de políticas públicas informadas así como la asignación de recursos, e implementación de programas de gestión de datos de CRVS.

Om Bera
Global Health Advocacy Incubator

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Om Bera

Ashoo Grover
Indian Council of Medical Research

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Ashoo Grover

Vandana Shah
Global Health Advocacy Incubator

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Vandana Shah

Uday Narayan Das
Directorate of Census Operations and Citizen Registration

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Uday Narayan Das

Michelle Kaufman
John Hopkins Bloomberg School of Public Health

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Michelle Kaufman

Om Bera
Global Health Advocacy Incubator

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Om Bera

Organiser(s): Comisin Econmica para Amrica Latina y el Caribe de las Naciones Unidas (CEPAL); Entidad de las Naciones Unidas para la Igualdad de Gnero y el Empoderamiento de la Mujer (ONU Mujeres); Oficina Nacional de Estadstica (ONE-Repblica Dominicana); Departamento Administrativo Nacional de Estadstica (DANE-Colombia)

Mainstreaming gender and intersectional perspectives in statistical production is crucial for generating data that accurately reflects persistence and magnitude of societal inequalities. Official statistics, therefore, should be recognized as a vital and indispensable source of information for designing and implementing measures, programs, and policies aimed at achieving gender equality and womens autonomy. Integrating the gender perspective into statistical production is essential for translating data into information, information into knowledge, and knowledge into political decisions (ECLAC, 2017. Montevideo Strategy for Implementation of the Regional Gender Agenda within the Sustainable Development Framework by 2030). Given the increasing demands for information in gender analysis, which requires multidisciplinary knowledge, specific guidelines are necessary to facilitate its concrete inclusion in official statistical production. Latin America and the Caribbean, through the Statistical Conference of the Americas, endorsed in 2023 a regional standard titled "Guidelines for Mainstreaming the Gender Perspective in Statistical Production" (ECLAC, 2023. See in: https://cea.cepal.org/12/en/documents/guidelines-mainstreaming-gender-perspective-statistical-production-summary) developed by a task force comprising experts from national statistics offices and machineries for womens advancement, from thirteen countries, coordinated by INEGI (Mxico) and with ECLAC and UN Women at the Secretariat. The Guide provides detailed guidelines and best practices for mainstreaming gender throughout the eight phases of the statistical process. The objective of this session is to disseminate the guide's contents through a workshop training methodology, wherein participants address a hypothetical or real problem or data gap in gender statistics across all phases of the statistical process while considering inter-institutional alliances between various government sectors. Initially, a brief presentation of the Regional Guide's context, importance, and experiences of countries in the region implementing their own guides will be given within the first 15 minutes, using video and a quick round table. Subsequently, a half-hour group activity will engage participants in interactive dialogue and work, facilitated by the event organizer. The organizers will present a list of statistical topics or projects to be formulated with a gender perspective, and participants will choose which topic to join to form the groups. If it is possible to have the list of registered participants and their emails prior to the session, this distribution could be done in advance. At the end, there will be a final 15-minute wrap-up session. Depending on registration numbers, interactive tools like Menti will be utilized to share content and adjust to session time constraints.

Miosotis Rivas Pena
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Miosotis Rivas Pena

Miosotis Rivas has held the position of General Director of the National Statistics Office of the Dominican Republic since August 2020. She has a degree in economics with master's degrees in Economic Policy, Gender and Development and Human Development. She has extensive work experience in the Central American and Caribbean region in matters of regional integration, development and public policies, public equality policies, gender mainstreaming and trade negotiations. She has worked closely in strengthening the Central American Integration System, recently as the Executive Director of the Regional Center for the Promotion of Micro, Small and Medium Enterprises (CENPROMYPE) and previously as the Technical Secretariat for Women of the Council of Ministers of Women of Central America, space from which he promoted the first regional gender equality and equity policy (PRIEG). She was a representative of UN Women in Dominican Republic and has vast experience as a lecturer in different universities. Active member of various feminist and Contemplative Extension spaces.

Karen Garcia
United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL)

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Karen Garcia

Camilo Andres Mendez Coronado
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Camilo Andres Mendez Coronado

Camilo Méndez is the Head of International Affairs at DANE (the National Statistics Office in Colombia) since April 2020. Mr. Méndez holds an M.A in Policy and Development in the Global South from Sciences Po Bordeaux and a B.A in International Relations from Universidad del Rosario. Before joining DANE, Mr. Méndez served as an advisor at the International Cooperation Directorate of Ministry of Foreign Affairs of Colombia and was a Lecturer at the Faculty of International, Political and Urban Studies of the Universidad del Rosario.

Andrea Llerena
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)

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Andrea Llerena

Organiser(s): Organizacin Nacional de Mujeres Indgenas Andinas y Amaznicas del Per (ONAMIAP); Minority Rights Group International; Fondo de Poblacin de las Naciones Unidas (UNFPA); Ministerio de Relaciones Exteriores, Irlanda; Ministerio de Relaciones Exteriores, Brasil

UNFPA, Minority Rights Group, the National Organization of Indigenous, Amazonic and Andean Women from Peru (ONAMIAP), Ireland Ministry of Foreign Affairs and Brazil Ministry of Foreign Affairs, will convene a 60 minutes panel discussion at the UN World Data Forum, taking place in Medellin, in noviembre 2024. The session will spotlight efforts by member states, UN agencies, and civil society to collect, analyze, and publish data disaggregated by gender, ethnicity, indigeneity, language, and religion to address policy challenges and honor commitments to Leave No One Behind (LNOB). Building on a successful discussion from the SDG Action Weekend in September 2023, the session will emphasize the importance of trust and partnerships between statistical authorities, National Human Rights Institutions, and civil society organizations. It aims to foster dialogue on the feasibility and benefits of such data disaggregation for policy-making, ensuring alignment with international human rights frameworks, including on womens rights, and the broader agenda for leaving no one behind. It also aims to empower those with lived experiences of discrimination to actively participate in the policy-making process, ensuring their voices are heard and considered. The session will feature global speakers, particularly from the Global South, sharing best practices and experiences, and will highlight the long-term process of building trust to achieve data equity, allowing all societal groups to be reflected and addressed in development efforts. Among the speakers, the National Organization of Indigenous, Amazonic and Andean Women from Peru will showcase its community participatory methods to support action plans to integrate data about indigenous peoples into national statistics, as a critical pathway to ensure Indigenous Peoples rights.

Claire Thomas
Minority Rights Group

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Claire Thomas

Ketty Marcelo Lopez
Organizacion Nacional de Mujeres Indigenas Andinas y Amazonicas del Peru (ONAMIAP)

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Ketty Marcelo Lopez

Priscilla Idele
United Nations Population Fund (UNFPA)

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Priscilla Idele

Thomas Rutaro
Uganda Bureau of Statistics (UBOS)

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Thomas Rutaro

Mary Gill
Centre for Law and Justice

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Mary Gill

Organiser(s): Fondo de Poblacin de las Naciones Unidas (UNFPA); Gobierno de Bangladesh,; Servicio de Estadstica de Ghana (GSS); Banco Mundial (BM); Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Organizacin Mundial de la Salud (OMS); Comisin Econmica para Amrica Latina y el Caribe (CEPAL)

The session is designed to showcase the latest advancements and collaborative efforts in data dissemination, visualization, and utilization by various UN agencies and countries. This session will highlight interactive data tools and their practical applications in decision-making processes, underscoring the importance of collaborative efforts in data dissemination and use. Each partner at the global, regional and national levels, including UNFPA, the World Bank, UN Statistics Division, WHO, ECLAC, Bangladesh and Ghana will present their innovative data tools, emphasizing their unique features, practical use cases, and best practices. These presentations aim to stimulate discussions on enhancing the effectiveness and reach of these platforms. For example, UNFPA will feature its Population Data Portal (PDP), which provides quality-assured geospatial population data, demonstrating the power of disaggregated data in decision-making. The World Bank will introduce a compilation of innovative data tools, including the World Bank Data site. The UN Statistics Division will present the new UN Data portala single entry point for authoritative statistical data and metadata from the United Nations system, and other data visualization and storytelling toolkits. ECLAC will introduce the updated CEPALSTAT, which allows the interoperability of statistical and geospatial information in a friendly visualization. The session will feature TED Talk-style presentations from each UN agency. This will be followed by a panel discussion with regional and country representatives from three diverse regions - Asia, Africa, and Latin America and Caribbean. Panelists will share their experiences and insights on the application of these global, regional and national tools in their respective contexts. Concluding with an open-mic segment, the session invites active participation from countries, international organizations, civil society, and other stakeholders. This interactive portion is intended to foster a rich exchange of ideas, feedback, and expectations, promoting a dynamic and productive dialogue among all participants. Objectives: 1. Showcase innovative data platforms and tools from global, regional and national partners, highlighting their features and applications in real-world scenarios. 2. Facilitate a comprehensive discussion on the strengths, weaknesses, and areas for enhancement of these data platforms. 3. Provide a space for country and regional representatives to share their experiences with data dissemination, analysis, and visualization, and geospatial data, sharing feedback to the global data platforms. 4. Engage a diverse group of stakeholders to gather varied perspectives and feedback. 5. Foster collaboration and knowledge exchange to advance effective data dissemination and utilization. 6. Create debate around the interoperability of solutions, and the multitude of products different countries need to learn/use/understand.

Steve MacFeely
Organisation for Economic Co-operation and Development (OECD)

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Steve MacFeely

Priscilla Idele
United Nations Population Fund (UNFPA)

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Priscilla Idele

Rolando Ocampo
United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL)

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Rolando Ocampo

Haishan Fu
World Bank (WB)

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Haishan Fu

Haishan Fu is Chief Statistician and Director of the Development Data Group at the World Bank.Haishan leads and coordinates the development and implementation of the Bank’s development data agenda. She has been an active leader in the global statistical community, having served or currently serving as a member of the UN Secretary General’s Independent Expert Advisory Group on Data Revolution for Sustainable Development, Council Member of the International Statistical Institute, and Co-Chair of the Committee for the Coordination of Statistical Activities among over 45 UN and other international development agencies, among others.Prior to joining the Bank in 2014, Haishan was Director of the Statistics Division at UNESCAP, served as the first Chief of Statistics of UNDP’s Human Development Report, and worked as Senior Research Associate at the Guttmacher Institute and Post-Doctoral Fellow at the University of Pennsylvania. Haishan holds a Ph.D. in Demography from Princeton University and a B.A. in Economics from Peking University.

Anir Chowdhury
Aspire to Innovate (a2i) Programme

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Anir Chowdhury

Anir Chowdhury is the Policy Advisor of the a2i Programmme of the ICT Division and the Cabinet Division of the Government of Bangladesh supported by the UNDP. In this capacity, he leads the formation of a whole-of-society innovation ecosystem in Bangladesh through massive technology deployment, extensive capacity development, integrated policy formulation, whole-of-government institutional reform, and an Innovation Fund. His work on innovation in public service has developed interesting and replicable models of service delivery decentralization, public-private partnerships, and transformation of a traditional bureaucracy into a forward-looking, citizen-centric service provider. He is a regular speaker in international conferences on public service innovation and reform, digital financial inclusion, data-driven policymaking, civil registration and digital identity management, SDGs, youth and community empowerment, educational transformation, public-private partnerships, and South-South Cooperation.He is a member of the Prime Minister’s National Digital Task Force, Education Minister’s National Blended Education Task Force, WWW Foundation Alliance for Affordable Internet’s Advisory Council, and WEF and UNICEF’s Knowledge and Information Network for Digital Learning and Education’s Steering Committee. He is the Co-Chair of WEF’s Regional Action Group for Digital Transformation and a Deputy Champion of WEF’s EDISON Alliance to improve education, healthcare and financial services for 1 billion people worldwide. He is the Co-Founder and Board Member of South-South Network for Public Service Innovation (SSN4PSI) and Co-Founder of Future of Work Lab in Asia Pacific. He co-founded several software and service companies and non-profit organizations in the US and Bangladesh. Anir graduated magna cum laude in Computer Science and Applied Mathematics from Brown University and did post-graduate work on management, marketing, educational transformation and public sector reform in Harvard, Columbia, Boston, Bradford and Oxford universities.

Omar Seidu
Ghana Statistical Service (GSS)

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Omar Seidu

Omar Seidu is a social statistician with over 22 years of experience in statistics production. With the responsibility of coordinating data for monitoring the Sustainable Development Goals in Ghana, Omar leads a drive around data innovation, a multi-stakeholder approach to data production and strengthening administrative data systems. He serves on several national and international platforms on data for sustainable development.

Organiser(s): Vital Strategies; Instituto Nacional De Salud, Colombia; Ministerio de Salud, Kenia; Departamento de Salud, Filipinas

Improving data use in policy requires moving beyond dissemination by building a better understanding of how decisions are made, where data can be instrumental, and what competencies are needed for different players in the data ecosystem. This session will present a framework for data use alongside case studies from health policy to illustrate different angles for integrating data use. Attendees will come away with concrete strategies that can be applied across social policy contexts. The case studies draw on experiences from the Data Impact Program of the Bloomberg Philanthropies Data for Health Initiative, which partners with governments in 20+ LMICs to expand data use in health policy. Approaches developed target leaders, policy analysts, statisticians, technical experts, communications teams and journalists. Examples from the Data to Policy (D2P) Program, which incorporates local data into policy analysis, Data-Centered Leadership (DCL), which strengthens competencies for managing with data, and data communications training will be shared alongside challenges, barriers and lessons learned. In Colombia, D2P approaches to strengthen policy analysis and briefs produced by the National Health Observatory have included standard operating procedures to achieve greater uniformity when developing data products, training on health impact assessment and economic evaluation, and practical guidance for communicating with data. Ministry of Health staff in Kenya lead D2P workshops on using local data for policy analysis. Teams develop briefs on priority topics such as cervical cancer screening and suicide prevention for dialogue with decision-makers and use skills developed in drafting policies on Universal Health Care. Future plans include supporting data use at county level and integrating digital tools to enhance access to and use of data. D2P has been mainstreamed in the Philippines Department of Health through the Health Evidence Translation Initiative managed by the Health Policy Development and Planning Bureau. Policy analysis experts provide technical assistance and guide colleagues at national and subnational levels in developing policy proposals to address health sector priorities. In Papua New Guinea, DCL training strengthened skills of provincial health leaders for using data individually and across teams. Mentorship has advanced data improvement projectsincluding improving timeliness and completeness of reporting, training on data analysis and interpretation, and setting up review systems for childhood pneumonia. A key lesson from a decade of collaboration under the initiative is that systems and capacities for data use are needed at multiple levels and across functional areasfrom technical and information divisions to public relations teams. Success happens when interventions take decision-making needs as a starting point and build data use and communication into existing processes, strengthening data competencies along the way.

Emily Myers
Vital Strategies

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Emily Myers

Farnaz Malik
Vital Strategies

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Farnaz Malik

Farnaz Malik serves as a Senior Technical Advisor for the Data Impact (DI) Program within the Bloomberg Philanthropies Data for Health Initiative at Vital Strategies, bringing over 11 years of experience working on global health and policy initiatives. In her current role, Farnaz partners with country governments in Asia and Sub-Saharan Africa, providing technical assistance to inform evidence-based policymaking aimed at improving population health. She also leads the collaboration between the Civil Registration and Vital Statistics Improvement Program and the DI Program, focusing on the use of vital statistics for decision-making. Prior to Vital Strategies, Farnaz was a 2015-2016 Global Health Corps fellow at Housing Works where she worked on HIV/AIDS and housing policy advocacy at the national and global level. Farnaz holds an MPH in Epidemiology from the University of Michigan School of Public Health and a BA in Integrative Biology from the University of California, Berkeley.

Julieta Lomelin Gascon
Vital Strategies

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Julieta Lomelin Gascon

Carlos Castaneda Orjuela
National Institute of Health, Colombia

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Carlos Castaneda Orjuela

Lester M. Tan
Department of Health, Philippines

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Lester M. Tan

Ayub Manya
Ministry of Health, Kenya

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Ayub Manya

Organiser(s): Oficina Federal de Estadstica de Suiza (SFSO); Organizacin de las Naciones Unidas para la Educacin, la Ciencia y la Cultura (UNESCO); Oficina Nacional de Estadstica (ONE-Repblica Dominicana); Oficina del Secretario General de las Naciones Unidas (EOSG); Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA)

On behalf of Prof. Dr. Georges-Simon Ulrich, Director General of the Federal Statistical Office (FSO) The UN Statistical Commission will continue to develop over the next few years. There should be a broader discussion on the role of the commission. What do changes in the technological innovations, and in the ToR of the Statistical Commission involve? Should the UN Statistical Commission cooperate stronger with other UN bodies and / or stakeholders outside of the wider UN System? Discussion about the role of the UN Statistical Commission within the UN in general, and what does it mean the responsibility of governance of statistics and data for the UN Statistical Commission? Short description: Over the years, several resolutions around the roles and functions of the Commission have been adopted which define and strengthen the role of the Statistical Commission. In 2022, the resolution, ensuring that the work in the field of statistics and data is adaptive to the chang-ing statistical and data ecosystem, calls upon the United Nations statistical and data-related system to report on work on statistics and data within all domains to the Statistical Commission, to enable the Commission to fulfil its function as the primary body responsible for the management of statistical information and governance of statistics and data. Moreover, the Bureau of the UN Statistical Commission researches ways for the Commission to be more inclusive. Therefore, the Bureau ensure a representative, fit-for-purpose Commission. Six goals should be implemented to ensure that the Commission is and remains inclusive and representative today and in the future. What does it involve for the future of the UN Statistical Commission? Furthermore, within the context of the United Nations, there is also a broader role of data and its application to sustainable development. For example, the Secretary-Generals proposal to ensure a UN fit for a new era, by the inclusion of the evolutions in five areas: data, analytics and communications; innovation and digital transformation; strategic foresight; behavioral science; and performance and results orientation, resulting in a UN 2.0. How should the UN Statistical Commission position itself in this new project? How should the UN Statistical Commission deal with the data? Would it be the place for data governances discussion? Data governance as a topic is of great importance for the world of statistics. For this reason, the topic was taken up at the Fridays seminar before the UN Statistical Commission. The implementation of data governance strategies differs across domains and is de-pendent on national practices. It is essential for the global statistical community as the data space evolves in a dynamic fashion to discuss different ways of handling data governance. The aim of Fridays seminar is to build a common understanding of data governance and to address how data gov-ernance is approached in the national statistical systems.

Georges-Simon Ulrich
Swiss Federal Statistical Office (SFSO)

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Georges-Simon Ulrich

Georges-Simon Ulrich was appointed Director-General of the Federal Statistical Office by the Federal Council on 1st October 2013. He studied Business Administration in Switzerland, the USA (University of Virginia, Darden Business School) and Australia, where he obtained his Doctor in Business Administration at the University of Southern Queensland with a thesis on Stakeholder management and communication. He is also Professor in strategic management and research methods at the University of Applied Sciences in Business Administration Zurich. Between 1992 and 2010 Mr Ulrich worked in private enterprise, holding various management positions in market and opinion research. From May 2011 to September 2013, he was Director of the LUSTAT statistical office in Lucerne, and from March 2017 to March 2018, Mr Ulrich was Vice Chair of the UN Statistical Commission.The Director is responsible for managing the FSO while ensuring that the ethical principles of official statistics are applied to every aspect of its work, ranging from specialist subjects to personnel and financial and organisational matters. He ensures that the Office works in line with the Federal Council’s objectives and is able to face the challenges of the future. By implementing targeted objectives, and together with the board of management and executive members of staff, he puts into practice the FSO’s vision and strategy. He is in charge of the Office’s seven divisions and represents the FSO in important national and international affairs. In the parliamentary Commissions, he is answerable to members of parliament.

Miosotis Rivas Pena
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Miosotis Rivas Pena

Miosotis Rivas has held the position of General Director of the National Statistics Office of the Dominican Republic since August 2020. She has a degree in economics with master's degrees in Economic Policy, Gender and Development and Human Development. She has extensive work experience in the Central American and Caribbean region in matters of regional integration, development and public policies, public equality policies, gender mainstreaming and trade negotiations. She has worked closely in strengthening the Central American Integration System, recently as the Executive Director of the Regional Center for the Promotion of Micro, Small and Medium Enterprises (CENPROMYPE) and previously as the Technical Secretariat for Women of the Council of Ministers of Women of Central America, space from which he promoted the first regional gender equality and equity policy (PRIEG). She was a representative of UN Women in Dominican Republic and has vast experience as a lecturer in different universities. Active member of various feminist and Contemplative Extension spaces.

Eric Mayoraz
Embassy of Switzerland

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Eric Mayoraz

Silvia Montoya
United Nations Educational, Scientific and Cultural Organization (UNESCO), Institute for Statistics

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Silvia Montoya

Jose Rosero Moncayo
Food and Agriculture Organization of the United Nations (FAO)

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Jose Rosero Moncayo

Stefan Schweinfest
United Nations Statistics Division (UNSD-DESA)

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Stefan Schweinfest

Stefan Schweinfest was appointed Director of the Statistics Division (UNSD/DESA) in July 2014. Under his leadership, the Division compiles and disseminates global statistical information, develops standards and norms for statistical activities including the integration of geospatial, statistical and other information, and supports countries' efforts to strengthen their national statistical and geospatial systems.Stefan Schweinfest started his career joining the Statistics Division in 1989 in the area of national accounting. He subsequently worked in various other areas, such as statistical capacity building programmes, and indicator frameworks. For many years, he was also responsible for external relationships of the Division, both with member countries as well as with international partner organizations. He has been the substantive secretary of two intergovernmental bodies, the United Nations Statistical Commission (UNSC) since 2002, and the United Nations Committee of Experts on Global Geospatial Information Management (UNGGIM) since 2011.As the Director of the Statistics Division, Stefan Schweinfest supported the work of Statistical Commission and its Inter-Agency and Expert Group on Sustainable Development Goal Indicators (IAEG-SDGs) to develop the global indicator framework to monitor progress towards the SDGs, which was adopted by UNSC at its 48th session in March 2017 and subsequently by ECOSOC and the General Assembly. Under his leadership, the Division works on implementing this framework and ensuring countries receive capacity building support to monitor progress towards the SDGs.He played a key role in the negotiations leading to the 2011 ECOSOC resolution to establish UN-GGIM and has actively involved himself with global geospatial information management since, including the negotiations leading to a second ECOSOC resolution in 2016 that strengthens and broadens the mandate of this Committee of Experts.He was the Officer-in-Charge of DESA's Division for Public Institutions and Digital Government (DPIDG) from 1 March 2018 until 28 February 2019.Stefan Schweinfest studied Mathematical Economics at the Universities of Wuerzburg and Bonn in Germany. He holds a Diplome D'Etudes Approfondies (Masters equivalent) from the University of Paris in these fields. He also conducted postgraduate research at the London School of Economics (LSE).In his private time, he likes to sing and has performed numerous concerts with his chorus in Carnegie Hall. He is also a passionate marathon runner and loves to hit the road all over the world.

Organiser(s): Naciones Unidas (ONU); Oficina del Secretario General de las Naciones Unidas (EOSG); Fundacin William y Flora Hewlett; Universidad Makerere; Pulsacin Global de las Naciones Unidas (UNGP); Oficina de Proyectos de las Naciones Unidas (UNOPS); Programa de las Naciones Unidas para el Desarrollo (PNUD)

EVENT SUMMARY The digital domain is increasingly pivotal for economic progress, underlining the critical need for effective public data and digital strategies. This session is dedicated to sharing best practices on national data strategies in Africa. Designed to illuminate the journey from regional to local levels, it aims to showcase the transformative potential of data in driving development that is in harmony with the Sustainable Development Goals (SDGs). Not only will participants learn about the benefits and challenges of data strategies but also see the benefit of South-South cooperation for building equitable data ecosystems. EVENT DESCRIPTION In a panel discussion format, the event will focus on the insights, challenges, and success stories encountered during the drafting of national data strategies and building national data ecosystems, along the examples of Uganda, Kenya, Ghana, and Ethiopia. The session will offer a rich exploration of how adopting a strategic, long-term vision that includes a wide range of stakeholdersspanning governments, civil society, the private sector, academia, and United Nations entitiesis beneficial when translating regional frameworks from the Africa Union into national and city-level adoption. Panelists will underscore the importance of balancing ecosystem and use case approaches, a methodology promising both long-term structural gains and the encouragement of innovative, practical solutions. The panel discussion featuring preeminent experts on data ecosystems will be enriched by interactive components, enabling participants to share their experiences with data strategies across countries and regions. These elements include an audience poll at the beginning, a 10-minute "fishbowl" interactive segment, and dedicated time for Q&A. HIGHLIGHT: UGANDA DATA STRATEGY Uganda's national data strategy is being developed under the leadership of the Ministry for ICT and National Guidance, in collaboration with the innovation lab UN Global Pulse and UNDP. The project builds on the African Union frameworks, translated to a national level with the goal of building an equitable and thriving data economy. The approach to drafting is participatory and focused on use cases, including in the tourism sector and city-level adoption. This case will be used as a starting point to contrast to other national contexts and discuss important aspects like gender dimensions. CALL TO ACTION Attendees will conclude the session with an enriched understanding of the latest in national and local data strategies for development. Crucially, they will be motivated by a clear call to action to build coalitions for the advancement of data ecosystem development within their respective contexts. This event goes beyond a mere panel discussion; it aims to be an inspiring appeal to escalate regional and local data initiatives, setting the stage for a future in Africa that is shaped by a thriving, data-driven economy.

Talea Von Lupin
United Nations Global Pulse (UNGP)

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Talea Von Lupin

Martin Gordon Mubangizi
United Nations Global Pulse (UNGP)

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Martin Gordon Mubangizi

Timothy Mwololo Waema
University of Nairobi

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Timothy Mwololo Waema

Irene Mwendwa
Pollicy.org

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Irene Mwendwa

Irene Mwendwa
Pollicy.org

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Irene Mwendwa

Organiser(s): Banco Mundial (BM) / Expertise France; Instituto Nacional de Estadstica y de Estudios Econmicos (INSEE-Francia); Administracin de Aduanas de Costa de Marfil, Cte d'Ivoire / Deutsche Gesellschaft fr Internationale Zusammenarbeit (GIZ); GFA Consulting Group GmbH

In today's data landscape, finding and accessing the most relevant data can be a challenging task. The session will offer insights into addressing the challenges of inclusive data accessibility using AI-driven solutions aimed at improving data discoverability and dissemination. A suite of open tools leveraging AI and innovation will be presented. These tools aim to enhance the efficiency of data access and dissemination, connecting users with the information they require. A focal point of the session will be the integration of large language models (LLMs) into data dissemination systems, enabling tailored user experiences. The session will demonstrate how AI can analyze user data needs and personalize the interaction between these platforms and their users. Additionally, the session will introduce WorldEx, an application that streamlines data inventory based on geographical parameters. This tool provides a platform for data producers to showcase their datasets' geographic scope securely and for users to locate data better based on geographic criteria. All showcased applications are built on open-source software, ensuring accessibility and adaptability for organizations facing financial and technical constraints. / Since 2021, Expertise France, the French technical cooperation agency, implements a project called DATAFID (French acronym for "data in tax and customs administrations") to support the use of data science in West African administrations handling domestic resource mobilisation. We explore how new technologies and methods may help African administrations make better use of their data for better tax policies and increased domestic revenues. To pursue that goal the team embraced a data science use-case development approach. Use cases are a good way to delve into the administrations environment and obtain quick wins that can raise awareness about the potential of an administrations data. After the use cases were identified, the team grappled with an unforeseen, severe limitation: regardless of their capacities, administrations had limited knowledge and access to state-of-the-art, open source data science services. We hence decided to create an online DataLab: partners can log in, load their data and explore its potential using remote computing power, addressing their own machines limitations. We tailored a vast number of practical training sessions on specific techniques and methods: detecting potentially fraudulent tax returns using the Benfords law, building dashboards using Apache Superset, applying machine learning for risk management at customs with Python, etc. We came up with a library of data science use cases that we could share with and adapt to new tax and customs administrations. The datalab is tailored so as to encourage exchange across its users, in a way that contributes to harmonised, regional capacity building, and built-in exchange of information. Today, the online DataLab is used by more than 200 tax and customs staffs in over 10 countries. We have test-piloted its deployment on premise within the Cote dIvoire customs. Our intention is to build a Digital Common that is freely accessible for people who are keen on increasing the use of data in their administration, whether they are well acquainted with advanced data science techniques or newcomers looking to improve their capacities. We would be thrilled to share our experience at the UN World Data Forum for many reasons: - We want to spread the word: we are convinced that our DataLab can drive better data use in administrations whose responsibility in SDG funding is critical. The UNWDF is the best forum to reach out to potentially new users who look for innovative solutions to address this pressing need - We want to be challenged: the UNWDF is a unique opportunity for us to be confronted to those whose life is dedicated to making data more accessible. We are thrilled by the purpose of leaving the forum with an augmented product that better serves its users - We want to join forces: we want to build a Digital Common. Attending this type of event is a critical step to become part of a worldwide community that shares a vision for the collective good / The consequences of the climate crisis are affecting people across the world, but it is well-known that people in vulnerable situations (due to factors including but not limited to age, gender, geography, health or indigenous or minority status) may experience heightened exposure and are disproportionately more affected than other demographic groups. In this demonstration, we present the use of Natural Language Processing (NLP) of unstructured text data as a tool for policy advisors to efficiently track and assess accommodations for vulnerable groups in climate policy documents such as Nationally Determined Contributions (NDCs) and Long-term Strategies (LTS). These documents describe commitments to the Paris Agreement, yet their analysis traditionally demands significant labor and time. We demonstrate how NLP can transform this process by structuring information extracted from otherwise unstructured data. We fine-tune a large language model (LLM) to classify references to 18 unique vulnerable groups within the text. Additionally, we construct a retrieval-augmented generation (RAG) pipeline to enable semantic queries relevant to the groups. We then deploy using a webapp platform, which allows for rapid prototyping effected via feedback from users. The resulting tool provides a more efficient and accurate means for policy advisors to assess international climate commitments. Moreover, the methods employed are open source, reproducible, and have wide applicability within similar contexts, where the analysis of large corpora of unstructured text data is required. The tool in its current form comprises multiple resources hosted on the HuggingFace platform which were developed as part of a German development cooperation project in partnership with the Kenyan GIZ NDC Assist II program as well as the Kenyan NGO CRAWN Trust. For the purposes of the demonstration, we will first provide an introduction to the underlying business problem i.e. the challenges with knowledge discovery from unstructured text data. We will then conduct a guided walkthrough of our approach for training the classifiers, developing the RAG pipeline, and deploying the models in the webapp. In closing, we discuss some of the specific challenges involved with creating applications of this kind. Perhaps most importantly, we will also discuss the inherent scalability of this approach to other contexts within international cooperation and the multi-lateral sector. As we expect a mix of skillsets in the audience and seek to be inclusive, the demo would be conceptual, rather than a technical deep dive. Our objective is to ensure attendees come away from the session with a good understanding of the relative accessibility of modern open-source NLP tools and methods and are then incentives to explore application towards use cases within their own projects and workflows.

Robin Nowok
Deutsche Gesellschaft fur Internationale Zusammenarbeit (GIZ)

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Robin Nowok

Lea Voigt
Deutsche Gesellschaft fur Internationale Zusammenarbeit (GIZ)

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Lea Voigt

Mark Tyrrell
GFA Consulting Group GmbH

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Mark Tyrrell

Clement Dupont
Expertise France

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Clement Dupont

Olivier Dupriez
World Bank (WB)

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Olivier Dupriez

Aivin V. Solatorio
World Bank (WB)

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Aivin V. Solatorio

Olivier Dupriez
World Bank (WB)

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Olivier Dupriez

Organiser(s): IDinsight; Instituto Dans de Derechos Humanos; Departamento Administrativo Nacional de Estadstica (DANE-Colombia)

The growing amount of information generated by states, the international systems, digital media, research institutions, and civil society provides a rich corpus of data about people, politics and life around the world. Harnessing the insights coming from all this information can have profound implications for the understanding of social phenomena. Investigating and understanding domestic, regional, and global trends, can support the decision-making of governments, social sector, and leaders across various domains. But to comprehensively process this wealth of information, we must leverage Artificial Intelligence (AI) and Machine Learning (ML). Moreover, there is a need for broader cooperation and partnerships between government and non-governmental organizations to take advantage of multiple sources of information. This involves tasks such as information retrieval, trend analysis, prediction, and resources optimization to enable more effective strategies for addressing the intricate challenges the world face. Finally, to ensure the equity, inclusion and accuracy of AI models, it is essential to ensure they are built on data that truly represents the people they are designed to benefit. The objective of these lightning talks is to present successful cases of how AI and the analysis of enormous amounts of data can be used for social good, while also showcasing the challenges in terms of, for example, data collection, contextual bias, risk of exclusion, and the adjustment of ML models to different social needs and contexts. The cases to be shown respond to multiple contexts: Using text-mining to monitor and evaluate the progress of the Sustainable Development Goals (SDG), different human rights themes and rights-holder groups at local, regional, and global level, using the TC8-text mining algorithm developed by the Danish National Human Rights Institution (NHRI) in cooperation with the consulting firm 'Specialisterne'. The generation of experimental statistics for the prediction of the Gross Domestic Product by sector, and the operations support in the National Administrative Department of Statistics of Colombia (DANE) through the use of press. The promise and peril of using AI to drive high-stakes decisions in the social sector in Asia and Africa, with special attention to the role of representative data in making models more accurate and equitable.

Sarah Thompson Lucas
IDinsight

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Sarah Thompson Lucas

Stinne Skriver Jorgensen
Danish Human Rights Institute

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Stinne Skriver Jorgensen

Andres Sebastin Salazar Mejia
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Andres Sebastin Salazar Mejia

Organiser(s): Departamento Nacional de Planeacin (DNP), Colombia; Banco Mundial (BM); Banco Interamericano de Desarrollo (BID); Programa Mundial de Alimentos de las Naciones Unidas (UNWFP); Fondo de las Naciones Unidas para la Infancia (UNICEF) / Alianza Data-Pop; Gerando Falces; Instituto Tecnolgico de Massachusetts (MIT); TETO TECHO; Humanitarian OpenStreetMap (HOTOSM) / Cambridge SupTech Lab; Centro de Finanzas Alternativas de Cambridge; Universidad de Cambridge / Banco de la Repblica, Colombia; Banco Interamericano de Desarrollo (BID)

Colombia cuenta con el Registro Social de Hogares (RSH), un sistema de informacin que rene ms de 55 millones de registros administrativos provenientes de diferentes entidades de orden nacional y local, para conocer las condiciones de vida de la poblacin. Sin embargo, el pas se plante la necesidad de contar con un sistema de informacin en el que se pudiera estimar la capacidad de ingresos de los ms pobres, y conocer la informacin de la poblacin de la parte alta de la distribucin para mejorar la focalizacin de los subsidios, programas, y modernizar el diseo de las polticas. As nace el Registro Universal de Ingresos (RUI), creado mediante el artculo 70 de la Ley 2294 de 2023. El RUI busca estimar el ingreso de todas las personas a travs de un modelo hbrido con informacin de ingresos y socioeconmica a partir de registros administrativos, y/o de la autodeclaracin. Una propuesta de este tipo plantea una serie de desafos institucionales principalmente al identificar la calidad de las fuentes de ingresos en el pas y disear los mecanismos por los cuales se pueda realizar la declaracin por parte de los hogares. El RUI ser un registro administrativo que clasifique a toda la poblacin con documento vlido en territorio colombiano y su objetivo ser mejorar la eficiencia del gasto pblico social, es decir, los subsidios o beneficios otorgados por el Estado a una persona u hogar, con el fin de promover su inclusin social. Para llegar a la metodologa de estimacin de ingresos del RUI, se propone tener en cuenta tres grupos de informacin: i) informacin de ingresos observados a partir de los pagos realizados al Sistema General de Seguridad Social, pagos por retencin en la fuente, o cualquier otro registro administrativo que permita identificar ingresos; ii) la informacin de registros administrativos en dimensiones diferentes al ingreso que permitan establecer las caractersticas socioeconmicas del hogar; y iii) informacin autodeclarada cuando no exista informacin en registros administrativos. Esta propuesta busca presentar el proceso de construccin del RUI y las reglas para lograr los acuerdos de intercambio de informacin para llegar a un mismo nivel de informacin disponible de todas las personas del pas. De igual forma, mostrar los avances en el desarrollo metodolgico en la definicin, elaboracin, aprobacin y sistematizacin de un modelo de estimacin de ingresos per cpita, que permita asignar una clasificacin de acuerdo con el nivel de ingresos de los hogares, y los esquemas de uso propuestos para convertir al RUI como nico instrumento de focalizacin de la oferta social. / Reducing poverty is paramount to promoting sustainable development in Latin America, where inequalities remain extremely high. One way to contribute to this objective is by using data to yield a better, more fine-grained understanding of poverty, going beyond traditional income poverty assessments. These outputs can be used to raise awareness, and to facilitate the design of more effective policies and interventions. The region's high levels of urbanization and economic informality warrant a particular focus on socioeconomically deprived neighborhoods, commonly referred to as favelas, villas, etc. Disadvantaged areas typically suffer from a dearth of reliable, up to date data and statistics due to safety concerns, financial constraints, etc. This makes it difficult to develop and monitor interventions to reduce poverty, and limits advocacy and mitigation efforts. Against this background rises the question of if and how these data gaps can be partially addressed using new types of non-traditional digital data. The goal of our proposed session is to present our pilot project MPI+ -developed in partnership with the Brazilian NGO Gerando Falces (GF)- that leverages local knowledge and non-traditional data sources to build a MPI for informal settlements to estimate poverty levels of the favelas of Brazil. MPI+ uses novel, non-traditional data sources and analytic approaches, taking into account and reflecting context-specific nuances. The sessions impact will be threefold. First, to disseminate the lessons learned and results of the two favela case studies. Second, to raise awareness and enable the transfer of knowledge on the use of non-traditional data for multidimensional poverty estimations. Third, to open and expand the conversation by collaboratively thinking about the possibilities and limitations of including these types of data and novel methodologies to map and measure multidimensional poverty. The session will present MPI+ as an instrument to generate accurate, reliable, and low-cost data to map and monitor poverty in informal settlements or slums, giving visibility to left behind populations. Understanding the components and dynamics of poverty is fundamental for developing relevant and effective policies to help people deprived of their basic capabilities. The session will inform and inspire attendees on how to leverage non-traditional data to foster inclusive sustainable development, mainly in terms of SDGs 1, 10 and 11. / While financial services are becoming increasingly global, digital, and complex, all over the world financial authorities are drowning in an ocean of paper and excel spreadsheets. Analog processing and antiquated technologies in data gathering, validation, storage, and analysis erode the analytical capabilities of supervisory agencies, who are often too late in protecting consumers from fraud, and seeing signs of stress in the financial system or miss the underlying causes. This is all happening while financial crime remains a trillion-dollar issue. Around the world, leaders have been emerging across central banks and financial authorities as 'ambassadors' of supervisory technology (suptech) with the joint mission of digitally transforming financial sector supervision. They are tiredless working to develop digital transformation strategies, foster collaboration and the adoption of technology across the global supervisory community, alongside posing long-term questions such as: Where are the opportunities for cross-jurisdictional collaboration? How might data be more effectively shared via data commons or exchanges? This lightning talk will be led by Francisco Duque, Deputy Director of Supervisory Methodologied and Corporate Governance at the Financial Supterintendence of Colombia who is part of the inaugural cohort of the Cambridge SupTech Lab 'Innovation Leaders Residency'. Francisco will explore the latest trends and insight on the evolution and current state of the digital transformation of financial supervision worldwide, based on the 2023 State of Suptech Report. He will will present concrete solutions and strategies that have been gamechangers for collecting, safely storing and analysing data with the power to shape a sustainable financial ecosystem, including his organisation's efforts in driving an ESG strategy in Colombia. / In recent years, most countries have implemented expansionary monetary and fiscal policies to boost their economies and address the impact of the Covid-19 pandemic. The size of this economic stimuli has been large, and unprecedented by historical standards. The surge in public expenditure has resulted in persistent fiscal deficits and high levels of public debt. This, in turn, results in an increase in the vulnerability of countries, especially those with emerging economies, which generally face tighter budget constraints and often face and are more vulnerable to external shocks. In this context, a platform that provides access to data and analysis in a timely manner, and that allows for comparisons across countries becomes a very useful, relevant tool to promote macroeconomic stability and make better data, evidence based policy decisions. With this background, in this session of the World Data Forum, we propose to present the FISLAC ecosystem, a platform that leverages on macroeconomic data, economic models, and artificial intelligence tools to provide an overview of the macro-fiscal risks faced by countries in Latin America and the Caribbean region. FISLAC is an innovative ecosystem developed by the Fiscal Management Division of the Inter-American Development Bank to help governments of Latin American and Caribbean countries strengthen macro-fiscal policy and decision-making. Indeed, this platform allows governments to predict and evaluate the impact of external shocks, fiscal reforms, and changes in fiscal rules on tax revenues, spending, and debt. FISLAC provides both a website and a mobile application for users to access results and analyses regarding fiscal policy. The results are presented in various formats, including heatmaps and interactive graphs, enabling country comparisons. Additionally, the FISLAC team is developing a chatbot to streamline result inquiries using GENAI. At this conference, attendees will have the opportunity to gain insights into the sources, compilation, and utilization of macroeconomic data, along with quantitative methods and artificial intelligence techniques applicable to public sector analysis. Additionally, they will explore innovative strategies for disseminating information through mobile applications. Attendees will also be able to establish collaborations with the speaker to further dive deeper into these topics in the future. This conference is aligned with the Cape Town Global Action Plan for Sustainable Development Data and the 2030 Agenda for Sustainable Development. Indeed, FISLAC promotes the utilization and transformation of data to support fiscal sustainability in developing countries, which is a crucial element for sustainable development.

Oscar Valencia
Inter-American Development Bank (IDB)

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Oscar Valencia

Francisco Javier Duque
Inter-American Development Bank (IDB)

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Francisco Javier Duque

Agustina Perez
Data-Pop Alliance

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Agustina Perez

Organiser(s): Por Confirmar

Organiser(s): Fondo de Poblacin de las Naciones Unidas (UNFPA); Open Data Watch (ODW); Iniciativas de Desarrollo (DI); Programa de las Naciones Unidas para el Desarrollo (PNUD); Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Incubadora de Defensa de la Salud Global; Departamento de Registro Nacional, Maldivas; HEPS-Uganda; Organizacin Panamericana de la Salud (OPS)

CRVS systems are crucial for advancing inclusive societies and strengthening official statistical systems. As recognized in the 2030 Agenda, particularly in SDG targets 16.9.1 and 17.19.2, achieving universal legal identity is essential for sustainable development. CRVS systems play a significant role in up to 40% of the SDGs, especially in health-related goals measured by mortality data. Incorporating intersectionality into CRVS and related data systems is vital for achieving gender equality and empowerment. This approach provides a nuanced understanding of diverse experiences and needs. However, a lack of intersectional data on race, ethnicity, sexual orientation, gender identity, age, and disability often constrains assessments and investments, limiting the full potential of CRVS systems. Many low- and middle-income countries face under prioritized and underfunded CRVS systems, resulting in low registration rates. Substantial investment is required to improve CRVS systems globally, with an estimated US $3.3 billion needed across 77 countries between 2015-2030. While initiatives like Bloomberg Philanthropies Data for Health and World Bank ID4D provide significant resources, sustainable funding must also come from domestic investments. This session will assess the current state of CRVS systems worldwide, identifying key challenges and strategies to overcome them. It will emphasize the importance of strengthening political support and increasing domestic investment through strategic, locally led advocacy. Additionally, the session will link CRVS efforts to broader intersectional data initiatives, highlighting the potential to accelerate progress in gender data and ensure no one is left behind.

Om Bera
Global Health Advocacy Incubator

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Om Bera

Vandana Shah
Global Health Advocacy Incubator

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Vandana Shah

Deirdre Appel
Open Data Watch (ODW)

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Deirdre Appel

Romesh Silva
United Nations Population Fund (UNFPA)

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Romesh Silva

Romesh Silva, Ph.D. is a demographer. He leads technical work on population data systems in humanitarian settings, as well as the strengthening of civil registration and vital statistics systems at the United Nations Population Fund. He previously served on the faculty of the Department of International Health at the Bloomberg School of Public Health, Johns Hopkins University.Romesh chairs the IUSSP Scientific Panel on Population Perspectives and Demographic Methods to Strengthen Civil Registration and Vital Statistics (CRVS) Systems, serves on the steering committee of the National Academy of Science's Expert Panel on the Demography of Forced Migration, is the guest editor for a Genus Thematic Series on CRVS and serves on the editorial board of the journal Conflict & Health.Romesh has served on the National Academy of Science’s expert panel on Darfur to review mortality estimates on Darfur, Sudan, the American Statistical Association's Committee on Scientific Freedom and Human Rights, and the IUSSP's Scientific Panel on Strengthening Civil Registration and Vital Statistics Systems. Romesh holds a Ph.D. in Demography from the University of California, Berkeley, a M.A. in International Affairs from Columbia University in New York, and a M.A. in Demography from the University of California, Berkeley, and B.A. (Hons, Class 1) in Statistics and a B.A. in German Studies from the University of New South Wales in Sydney, Australia.

Organiser(s): Comisin Econmica para Amrica Latina y el Caribe de las Naciones Unidas (CEPAL); Entidad de las Naciones Unidas para la Igualdad de Gnero y el Empoderamiento de la Mujer (ONU Mujeres); Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Oficina Nacional de Estadstica (ONE-Repblica Dominicana)

Geospatial analysis is an increasingly used tool to broaden the understanding of breaches in gender equality from a territorial perspective in countries, promoting the structuring and use of different data sets under a geospatial logic. Linking its development with the approach of conceptual frameworks based on multiple social and economic researches, and with the monitoring of compliance with normative frameworks associated with the global gender agenda such as the Sustainable Development Goals in multiple dimensions. In Latin America and the Caribbean, many countries have made significant progress in geospatial analysis from a gender perspective, including Mexico, Colombia, Argentina and the Dominican Republic, among others. These countries have created tools based on geospatial analysis to identify territorial disparities and social inequalities, and establish the linkages and variation based on different indicators related to gender inequality and women's empowerment, establishing a new approach to produce, analyze and use information to influence public policy. Including initiatives such as the one developed by the ILC Regional Platform for Rural Women in Latin America, with the aim of collecting and analyzing data on access to land by rural women in collective territories in Ecuador, Peru, Colombia and Guatemala, contributing to the generation of alternative evidence regarding SDG targets 5.a.1, 5.a.2 and 1.4.2. These advances have been developed from different methodological and operational perspectives depending on national statistical systems, so there is not much clarity on a course of action with minimum points in common that can guide the approach and development of geospatial analyses from a gender perspective. Therefore, in order to share the current experience and advance in the establishment of agreements or minimum standards for the consolidation of geospatial analyses, an open session is proposed with a contextual intervention by the institutional directives with the most experience in the region (LAC), where the objective of strengthening a proposal for action on the subject between countries and institutions will be pointed out (10 min). They will also explain the dynamics of the session, which consists of a tour of three interactive stands: The first will highlight the progress made in the region (15 min); the second will demonstrate the methodological, conceptual and operational approach used in the framework of the progress achieved (15 min); the third will promote an interactive dialogue with key actors for the establishment of a minimum route that can guide a more articulated work between countries on the subject (20 min).

Miosotis Rivas Pena
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Miosotis Rivas Pena

Miosotis Rivas has held the position of General Director of the National Statistics Office of the Dominican Republic since August 2020. She has a degree in economics with master's degrees in Economic Policy, Gender and Development and Human Development. She has extensive work experience in the Central American and Caribbean region in matters of regional integration, development and public policies, public equality policies, gender mainstreaming and trade negotiations. She has worked closely in strengthening the Central American Integration System, recently as the Executive Director of the Regional Center for the Promotion of Micro, Small and Medium Enterprises (CENPROMYPE) and previously as the Technical Secretariat for Women of the Council of Ministers of Women of Central America, space from which he promoted the first regional gender equality and equity policy (PRIEG). She was a representative of UN Women in Dominican Republic and has vast experience as a lecturer in different universities. Active member of various feminist and Contemplative Extension spaces.

Gustavo Marulanda
Agustin Codazzi Geographic Institute

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Gustavo Marulanda

Papa Alioune Seck
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)

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Papa Alioune Seck

Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Piedad Urdinola Contreras

Terresa Guerra
Global Centre of Excellence in Gender Statistics

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Terresa Guerra

Bibiana Aido Almagro
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)

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Bibiana Aido Almagro

Organiser(s): Oficina Federal de Estadstica de Suiza (FSO); Estadsticas Polonia; Asociacin Internacional para Estadsticas Oficiales (IAOS); Asociacin Estadstica Polaca

[Lens] works a mans, of course, from sun to sun, But he works when he works as hard as I do Though theres small profit in comparisons. (Women and men will make them all the same.) But work aint all. Len undertakes too much. [Len] says the best way out is always through. And I agree to that, or in so far As that I can see no way out but through Leastways for me. I almost think if I could do like you, Drop everything and live out on the ground But it might be, come night, I shouldnt like it, Or a long rain. I should soon get enough, And be glad of a good roof overhead. Robert Frosts poem Servant to Servant is often cited as the source of the quote, The only way out is through. It is the rambling thoughts of a woman who keeps house for her husband and his workers. She is a servant to servants, who recognizes that a womans work is never done. The question for us is now: Are NSOs the servant to servants? And if yes, lets talk about our tasks and challenges! Discussing new roles of the official statistics in the changing data ecosystems has been a recurrent topic of the international debate in the recent years. Statisticians understand that they need to re-define themselves in order to better deliver their mission, which can be summarised as "informing the public with the best quality information based on facts, ensuring the primordial right to the solid information". However, demographic shifts, social and economic instability, climate change, geopolitics, and last but not the least, the impact of technological disruption as artificial intelligence must be mentioned to back the assumption that the redefinition of the official statistics should involve a wider spectrum of factors and phenomena, in order to make NSOs competitive on the information market. The examples of a paradigm shift in thinking about data and statistics for the common, public good can be concepts of data governance, interoperability and common data spaces. In view of the above, it becomes key to explore why the global governance is beneficial. In order to guarantee the flow of data across the sectors and therefore enable seam-less communication and data sharing between different public sector organisations, these data spaces have to be interoperable. This is crucial in order to achieve more efficient and effective service provision. Data governance, next to data stewardship, data management (deeply rooted in the UN FPOS) and data spaces will determine the shape of official statistics in the future. Some challenges, such as those related to digital transformation and the dawn of modern data governance systems, are already well known. The new ones such as the impact of AI are yet to be explored. The panellists will identify megatrends and their consequences on official statistics.

Benjamin Rothen
Swiss Federal Statistical Office (SFSO)

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Benjamin Rothen

Georges-Simon Ulrich
Swiss Federal Statistical Office (SFSO)

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Georges-Simon Ulrich

Georges-Simon Ulrich was appointed Director-General of the Federal Statistical Office by the Federal Council on 1st October 2013. He studied Business Administration in Switzerland, the USA (University of Virginia, Darden Business School) and Australia, where he obtained his Doctor in Business Administration at the University of Southern Queensland with a thesis on Stakeholder management and communication. He is also Professor in strategic management and research methods at the University of Applied Sciences in Business Administration Zurich. Between 1992 and 2010 Mr Ulrich worked in private enterprise, holding various management positions in market and opinion research. From May 2011 to September 2013, he was Director of the LUSTAT statistical office in Lucerne, and from March 2017 to March 2018, Mr Ulrich was Vice Chair of the UN Statistical Commission.The Director is responsible for managing the FSO while ensuring that the ethical principles of official statistics are applied to every aspect of its work, ranging from specialist subjects to personnel and financial and organisational matters. He ensures that the Office works in line with the Federal Council’s objectives and is able to face the challenges of the future. By implementing targeted objectives, and together with the board of management and executive members of staff, he puts into practice the FSO’s vision and strategy. He is in charge of the Office’s seven divisions and represents the FSO in important national and international affairs. In the parliamentary Commissions, he is answerable to members of parliament.

Elsa Dhuli
Institute of Statistics (INSTAT-Albania)

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Elsa Dhuli

Sian Rasdale
UK Foreign, Commonwealth and Development Office (FCDO)

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Sian Rasdale

Dominik Rozkrut
Statistics Poland

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Dominik Rozkrut

Anu Peltola
United Nations Conference on Trade and Development (UNCTAD)

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Anu Peltola

Olga Swierkot- Strusewska
Statistics Poland

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Olga Swierkot- Strusewska

Organiser(s): CivicDataLab

Open Data has numerous proven benefits for progressing on SDGs, including improving efficiency of public service delivery, strengthening economic growth, and enhancing citizen trust and participation in governance. Despite these benefits, progress on Open Data is witnessing a slow or stagnant growth in most countries. There has been little growth in the percentage of datasets that are fully machine-readable, openly licensed, freely available, and in bulk. With growing focus on digital public infrastructure & goods, we are observing development of data exchange platforms that allows open and privately held data to be securely shared among otherwise unconnected institutions for harnessing data as public good for various development use-cases. Such data exchange is governed by a data sharing agreement defining terms & conditions of sharing & using the data among the data publishers and data consumer. Data Exchange platforms are enabling various stakeholders, especially private businesses, to also share their data in open & restricted access to be leveraged for public good, creating more sustainable data sharing practices. Most data exchange platform consists of various components like data governance framework, data sharing framework, metadata & data standards framework, data access framework, community forum and more. We are witnessing more data exchange platforms coming up data sharing for cross-border, regional, national and sub-national development goals. In this session, we will understand from various experts what are the new trends, frameworks and use-cases emerging in data exchange platforms with focus on accelerating SDGs and ensuring access to high-value datasets. We will learn from the session, what are the challenges and opportunities in deploying data exchange platforms for select sectors, geographies and institutions. We will also learn about various high-value datasets being prioritised for tracking progress on SDGs in various geographies and being served through various data access models. Lastly, we will learn how data exchange platforms are fostering multi-stakeholder partnerships and collaborations to support global, regional, national and sub-national data ecosystems for accelerating SDGs.

Sarah Telford
United Nations Office for the Coordination of Humanitarian Affairs (OCHA)

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Sarah Telford

Silvana Fumega
Global Data Barometer

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Silvana Fumega

Gaurav Godhwani
CivicDataLab

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Gaurav Godhwani

Felipe Colon Gonzalez
Wellcome Trust

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Felipe Colon Gonzalez

Alka Misra
National Informatics Centre, Government of India

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Alka Misra

Drudeisha Madhub
Government of Mauritius

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Drudeisha Madhub

Sarah Telford
United Nations Office for the Coordination of Humanitarian Affairs (OCHA)

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Sarah Telford

Organiser(s): Open Data Charter (ODC); Open Data Watch (ODW)

Open data is pivotal for effective SDG reporting, enhancing transparency, accountability, and collaboration. It enables evidence-based decision-making, leveraging diverse insights for comprehensive monitoring and progress tracking. This workshop session seeks to explore different models of how data governance is rolled out for SDG reporting, particularly from the perspective of open data. When governmental data is not easily accessible, its public value is locked away. Through this session, we want to understand how different data governance arrangements impact the openness of SDGs data and its reporting. To do so, we invite attendees to participate in an interactive workshop that will gather the wealth of experiences represented by countries in their data governance frameworks and share best practices that will enable greater coherence between transparency policies and SDG reporting. The methodology, outcomes and outputs are presented below: 1. High-level Intro (5 min) - Presented by ODW 2. Project Introduction (3 min) presented by ODC/ODW moderator 3. Four quick country highlights on open data frameworks (10 min) - Chile - Canada - Uzbekistan - Sierra Leone 4. Breakouts (20 min) - ODW and ODC staff to guide each session. The discussion will be structured in 3 simultaneous breakout rooms. In each of them these 3 topics will be discussed. Open data policy relation to SDG reporting; Better SDG reporting practices; Sectoral open data to help SDG reporting 5. Sharing (15 min) 1 rapporteur from each session 6. Closing (7 min) - Presented by ODC Outcomes: Better awareness of participants of how better open data practices can help SDG reporting. Peer learning about the link between open data and SDG reporting Lessons learned on best practices available to open data at various levels of country capacity. Outputs: Follow-up blog on World Data Forum website Potential follow-up study with countries showing interest during breakout sessions

Natalia Carfi
Open Data Charter (ODC)

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Natalia Carfi

Natalia Carfi is Executive Director, former Open Government Director for the Undersecretary of Public Innovation and Open Government of Argentina where she coordinated the co-creation of the 3rd Open Government National Action Plan. She was also Open Government coordinator for the Digital Division of the Government of Chile and for the City of Buenos Aires. She is part of the Open Data Leaders Network and the Academic Committee of the International Open Data Conference.Nati leads ODC’s team, engaging with experts from governments, civil society organizations, academics and the private sector. She oversees the strategic delivery and execution of projects in collaboration with the ODC network.

Shaida Badiee
Open Data Watch (ODW)

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Shaida Badiee

Mercedes de los Santos
Open Data Charter (ODC)

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Mercedes de los Santos

Organiser(s): Fondo de las Naciones Unidas para la Infancia (UNICEF); Organizacin Mundial de la Salud (OMS); Organizacin de las Naciones Unidas para la Alimentacin y la Agricultura (FAO) / Fundacin Saldarriaga Concha; Datasketch / Organizacin Panamericana de la Salud (OPS); Ministerio de Salud, Paraguay; HISP Colombia; Universidad de Oslo

A joyful, spatial experience that turns statistics into engaging, interactive displays, encouraging participants to playfully delve into available global data. Our event seeks to immerse World Data Forum attendees in an engaging interactive experience crafted by the acclaimed Swiss data visualization studio, SUPERDOT. Drawing on the success and innovative approach first showcased during the Vienna design week 2023, the installation will be specifically tailored for the World Data Forum, incorporating key nutrition, health and environmental SDG indicators to create a visual narrative that encourages reflection and dialogue around healthy diets and their impact on health and the planet. By spotlighting the absence of standardized and globally comparable metrics for healthy diets, this exploration seeks not only to entertain but also to inspire reflection. It challenges attendees to reevaluate their perspectives through the prism of data-driven art, making it a thought-provoking addition to the dialogue on nutrition and sustainability. Aligned with Thematic Area 4 calling for Effective Partnerships for Better Data and a More Equitable Data Ecosystem the Healthy Diets Monitoring Initiative (HDMI) is a partnership among FAO, UNICEF and WHO, established in 2022 in recognition of the lack of data for monitoring healthy diets. The event will feature lightning talks from HDMI members including FAO, UNICEF, WHO, and academia. The session will delve into HDMI's crucial mission of developing standardized, actionable metrics for monitoring healthy diets globally. These discussions will enhance the installation's impact, providing context and emphasizing the importance of collaborative efforts to improve dietary data and, ultimately, global health outcomes and sustainability. By marrying the visual impact of the installation with the depth of expert dialogue, our proposal aims to catalyze innovation and action, inspiring attendees to contribute to a healthier, more sustainable future through improved data practices and monitoring efforts aligned with the Cape Town Global Action Plan's objectives. / El proyecto Punku Yachay (en quechua Puerta del saber), est orientado a la creacin de una plataforma digital que centralice y facilite el acceso a datos y estadsticas, representa una contribucin significativa a la comunidad universitaria, acadmica y sociedad en general en varios frentes. En primer lugar, simplificara de manera sustancial el proceso de investigacin para miembros de la comunidad universitaria, acadmicos y cientficos al proporcionar una fuente nica y confiable para encontrar informacin relevante de mltiples reas del conocimiento. Esta herramienta no solo democratizara el acceso a datos que, en ocasiones, son difciles de obtener debido a su dispersin o restricciones de acceso, sino que tambin ampliara las posibilidades de investigacin y anlisis en diversos campos acadmicos. Con esto se pretende crear incentivos para la investigacin, generando una tendencia positiva en dicha rea e incrementando el nivel de produccin cientfica de calidad en el segmento universitario y con el tiempo de manera generalizada en el pas. En segundo lugar, la disponibilidad de datos actualizados y precisos tendra un impacto significativo en la calidad de tesis e investigaciones de pregrado y postgrado, elevando el nivel de formacin acadmica de los estudiantes y contribuyendo a la generacin de conocimiento en diversas disciplinas. De esta manera, se fortalece e incrementa el nivel acadmico de la comunidad universitaria, mejorando su competitividad en el mercado frente a los dems profesionales. Por ltimo, ampla el alcance de las investigaciones y promueve la innovacin en la universidad. El alcance del proyecto abarca la implementacin de la herramienta de Open Data, incluyendo la recopilacin y organizacin de datos, capacitacin de usuarios y la promocin de su uso en la comunidad acadmica. Punku Yachay se dirige principalmente a estudiantes de pregrado y posgrado, as como a docentes e investigadores con un enfoque particular en aquellos que desarrollan investigaciones cuantitativas. Asimismo, su versatilidad se traducira en su aplicacin en una variedad de campos, desde la medicina hasta el medio ambiente, la sociologa, la economa y ms, lo que ampliara su influencia y utilidad en diferentes reas del conocimiento. De acuerdo a la clasificacin del ndice de Competitividad Global para el 2019, a nivel mundial el Per se encontraba en la posicin 65, en el puesto 6 a nivel de Latinoamrica y ltimos si solo se considera a los pases miembros de la Alianza del Pacfico. (Concytec, 2019). El impacto a largo plazo de este proyecto se ver reflejado en dicho indicador, el cual recoge informacin a nivel macro y microeconmico sobre el bienestar de la poblacin en general, considerando aspectos como productividad, empleo, desarrollo humano, entre otros. / In the Americas, the Expanded Program on Immunization has grown to a level of complexity where collection of immunization data is carried out by different stakeholders utilizing a variety of software platforms. This fragmentation poses significant challenges in tracking data accurately. To tackle this issue and ensure timely, comprehensive and reliable data availability for informed decision-making, a robust surveillance information system is essential to deliver high-quality data and actionable insights, whether to adapt vaccination strategies, modify routine schedules or introduce new vaccines. In order to facilitate early detection, proper investigation, follow-up and the reporting of suspected cases of vaccine-preventable diseases (VPDs), which lead to implementation of appropriate control measures and monitoring, the Pan American Health Organization (PAHO) facilitates the submission of immunization data to Member States and provide feedback on the data received. Recognizing the limitations of legacy systems, PAHO has been providing Health Information Systems to member countries since the 1980s. Currently, PAHO has spearheaded in the region the implementation of a new web-based integrated surveillance system, VPD-SMART, built on top of the DHIS2 platform. Developed using modular programming, VPD-SMART offers flexibility to accommodate the diverse Member States needs, and the ability to evolve over time. Additionally, the system will not only streamlines data submission from Member States to PAHO but also to the World Health Organization and other related agencies or organizations, ensuring and improving coordination of the Regional Immunization Program. One of the main objectives of the new system is to create an environment in which all parties can work simultaneously on surveillance activities. Taking advantage of the Open Source platform DHIS2, public health workers will be able toand securely connect with all stakeholders in a shared working environment. Advanced analytics, indicators and georeferenced data are produced in near-real time , ensuring that action times are lowered and data is being used for decision making at all levels. It is expected that information will also be made available to the public through public websites and open data portals. This initiative signifies a substantial advancement in aligning immunization efforts and fortifying regional disease surveillance capabilities, aiming to achieve the goals of eliminating and controlling vaccine-preventable diseases in the Americas region.

Enzo Rossi
Devotta AS University of Oslo (UiO)

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Enzo Rossi

Chika Hayashi
United Nations Children's Fund (UNICEF)

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Chika Hayashi

Silvana Zapata
Pan American Health Organization (PAHO)

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Silvana Zapata

Ivan Dario Gomez
Fundacion Saldarriaga Concha

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Ivan Dario Gomez

Juan Pablo Espinoza
Pan American Health Organization (PAHO)

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Juan Pablo Espinoza

Fabian Ordonez
HISP COLOMBIA

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Fabian Ordonez

Juan Pablo Marin Diaz
Datasketch

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Juan Pablo Marin Diaz

Juan Felipe Aguilera Millacura
Pan American Health Organization (PAHO)

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Juan Felipe Aguilera Millacura

Juliana Galvis Nieto
Datasketch

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Juliana Galvis Nieto

Marko David Garcia
HISP COLOMBIA

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Marko David Garcia

Organiser(s): Equilibrium Social Development Consulting (SDC); Consejo Noruego para Refugiados (NRC); Ministerio de Salud, Uganda

Three cases: (1) Uganda's Health Performance Measurement: Uganda's health league tables track district and hospital performance, but lack alignment with development goals and don't account for regional context. This project aims to improve the league tables by integrating them with DHIS2 (national health data system) and including performance measures based on sustainable development goals and health system frameworks. This will allow for better comparisons between districts with similar resources and contexts, ultimately improving data quality, service delivery, and decision-making for national and local governments. (2) NRC's Journey to Data Governance: The Norwegian Refugee Council (NRC), a large, decentralized humanitarian org, is building a data governance framework. Funded by the Patrick J. McGovern foundation, this talk explores their journey using the "data fluency framework." Learn how NRC tackled challenges like securing buy-in, managing change, and integrating systems. We'll discuss key concepts like data stewardship and open data, all targeted at NGOs and small UN agencies facing similar challenges. (3) Random Respondent-Driven Sampling (RDS) for More Representative Surveys: Random Respondent-Driven Sampling (RDS) is a non-probability sampling method that is effective for surveys in contexts without a sampling frame. It is particularly useful for studying "hidden populations" like migrants or sex workers. RDS assumes that individuals with larger networks are more likely to be referenced, but this doesn't account for their availability or willingness to participate. To improve representation, we propose using an individual's time spent on work activities as an indicator of their availability. This simple modification can make RDS more inclusive and representative.

David Licheri
Equilibrium

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David Licheri

Jimmy Ogwal
Ministry of Health, Uganda

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Jimmy Ogwal

Karen Chavez
Global Partnership for Sustainable Development Data (GPSDD)

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Karen Chavez

Organiser(s): Escuela de Ciencia de Datos, Universidad de Virginia; Centro para la Democracia y la Tecnologa; Universidad Federal de Ro de Janeiro / Fundacin Red Dot / Fondo de Poblacin de las Naciones Unidas (UNFPA); Universit de Montral / Asociacin en Estadsticas para el Desarrollo en el Siglo XXI (PARIS21)

Gender-diverse communities including but not limited to trans, nonbinary, gender non-conforming, and Two-spirit people have systematically experienced the impacts of data invisibility and injustice. These disparities can be exacerbated depending on the intersectionality of other social identities such as race, ethnicity, sexual orientation, legal status, age, class, and disability. To ensure that small population groups, such as gender-diverse communities, are not left behind in data collection and official numbers, it is essential to discuss the role of citizen-generated data that has been giving them visibility over the past decades. Sexual Orientation and Gender Identity (SOGI) data are not always easy to collect, needing communities' support and participation in designing questions, prioritizing categories and planning data integration. The focus of this session is the invisibility of SOGI and LGBTQI+ communities in data collection, the challenges of collecting such sensitive data, and how to foster more inclusive innovation and partnerships. As federal government agencies, scholars, and practitioners look to LGBTQI+ data to improve data collection and equity, invisibility and misrepresentation issues remain unaddressed. This invisibility, often politically enabled, makes it harder to understand the dimensions and needs of the community and design better evidence-based policies. However, the visibility in datasets without adequate safeguarding of human rights can be harmful to the communities. Thus, considering digital rights (privacy and confidentiality) in this equation is crucial to making better decisions and having more inclusive data. The scope of this work is transnational: it investigates data collection for gender-diverse communities in Brazil and the South of the US, based on a study being conducted from early 2023 to late 2024. It answers three central questions: 1) What is the current state of SOGI and LGBTQI+ data collection for gender-diverse communities in these two countries? What is the role of citizen-generated data as an effective new data source for policymakers? 3) How can we design a digital rights-based framework that will ensure data protection and privacy? The objectives of the discussion presented here are to share the research findings and work together to build better and more inclusive data collection, analysis, and practices. A set of policy recommendations will be shared with the audience. / In this session we will explain the award winning Safecity app for anonymous reporting of sexual and gender based violence. The Safecity data which maybe anonymous, gets aggregated as hot spots on a map indicating trends at a local level. The idea is to make this data useful for individuals, local communities and local administration to identify factors that cause behaviour that leads to violence and work on strategies for solutions. Since the launch of the Safecity platform on 26 Dec 2012 we have collected over 55,000 stories from India and 85 countries and have directly reached over 1.5 million people. Outputs - Understanding of how crowdsourced datasets can provide actionable data for safer cities programming. - Case studies of how the Safecity data has been used by local communities to engage police, city officials and transport to make spaces safer. / Este trabajo se centra en responder 1) cul es la tasa de prevalencia de nias y mujeres con probabilidades de sufrir o haber sufrido la prctica de la mutilacin genital femenina (MGF) y de manera similar 2) cules son los determinantes asociados. Pocas investigaciones desde un punto de vista demogrfico se centran en las especificidades de las prcticas tradicionales nocivas entre las poblaciones indgenas de Amrica Latina, debido principalmente a la falta de datos apropiados. El objetivo general de este trabajo es llenar este vaco y generar conocimiento demogrfico. Al inicio proponemos una metodologa de estimacin directa (UNICEF, 2020) con un anlisis de cohortes por periodo de edad y posteriormente se recrear la metodologa implementada por Findlay et al. (2023), donde al igual que Goldberg et al. (2016), se ajustar utilizando un factor para tener en cuenta cambios histricos que podran modificar la frecuencia de realizacin de la prctica. Posteriormente, realizaremos un anlisis multivariado para caracterizar e identificar la relacin entre las enfermedades vinculadas a esta prctica y los casos potenciales registrados en los datos administrativos para la implementacin de la prctica. Posteriormente, y segn la revisin de la literatura, se analizaran los factores asociados con la MGF identificados en frica, como lo son la falta de acceso de las mujeres a la educacin, las desigualdades de gnero, factores culturales/tradicionales y la presin social. Para el caso latinoamericano, nuestra hiptesis es que, entre los factores anteriores, el ms determinante es el acceso a la educacin, que se analizara desde el ndice de analfabetismo de las comunidades indgenas que practican la MGF, o que registraron casos en los ltimos 20 aos, en Amrica Latina. Tomando como variables independientes estos factores, y una variable dependiente que identifica a los pueblos indgenas que realizan la practican y los que no, identificaremos a travs de un modelo de regresin logstico, cul es la variable que mejor explica que estos pueblos continen realizando la prctica. El trabajo se apoyar en varias fuentes complementarias como censos de poblacin, registros del estado civil de nacimientos/defunciones y el Registro Individual de Prestacin de Servicios - RIPS. Este trabajo est siendo realizado junto con Sabrina Juran asesora regional de UNFPA LACRO y Simona Bignami profesora titular del departamento de demografa de la Universit de Montral. / As investments in strengthening gender data systems grow, so too has the pressure to document how these influence gender equitable change. As a result, international efforts to enhance gender data use have multiplied, through new guidelines, capacity building, and awareness-raising initiatives. While these efforts can play an important role in enhancing use, without first investing in understanding the dynamics of gender data use in practice, their impact is limited. To bridge this global knowledge gap, PARIS21 has partnered with national statistical offices and national gender machinery in Rwanda, Maldives, Dominican Republic, and Kenya to ask: What are the determinants of gender data use in policy making? The studies traced the use of gender data in a selection of policy cases spanning across sectors at national and sub-national level. Findings revealed both country-specific barriers and enablers of gender data use, as well as several key, common insights from across the four countries. These findings provide an important foundation for country-led action and development interventions. This lighting session aims to share just four key global messages from the country studies, in turn stimulating a more intentional approach to interventions supporting use and stimulating further research in the area. Crucially, the session moves beyond conceptual models of the journey from data production to use, situating this journey within the wider socio-political context. PARIS21 raises key questions such as how contextual factors can shape decisions on data production, dissemination, and use; which skills are conducive to gender data use in policy making; and which actors are best positioned to contribute these skills. By unpacking these fundamental questions on use, PARIS21 offers a glimpse inside the black box of how gender data is transformed to use. The key message of this session is that to effectively strengthen gender data use, it is critical that we invest in understanding the dynamics of use practice. The session contributes a deeper understanding of the barriers and enablers of gender data use in policy making, considering factors such as the role of social norms, the importance of stakeholder engagement, and the centrality of targeted dissemination.

ElsaMarie DSilva
Red Dot Foundation

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ElsaMarie DSilva

Jess Reia
University of Virginia

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Jess Reia

Jess Reia is an Assistant Professor of Data Science at UVA interested in the untold stories in our datasets and how to include communities rarely heard in data policy decision-making processes. They work primarily on data justice, urban governance, and technology policy transnationally. For the past decade, their research and advocacy agenda has focused on fostering dialogues between academia, government, and civil society in Brazil, Canada, and the United States. They have recently contributed to nighttime economy policies in Canada and data equity and privacy for LGBTQIA+ communities in the US. Reia is an AI Fellow at NewCities, an advisor at Urban AI and held a two-year mandate as a member of the MTL 24/24 Night Council in Montreal. Before joining UVA, they were appointed Andrew W. Mellon Fellow at McGill University and Professor at the Center for Technology and Society at FGV Law School in Rio de Janeiro.

Carlos Arturo Ramirez Hernandez
Universite de Montreal

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Carlos Arturo Ramirez Hernandez

Sophie Kenneally
Partnership in Statistics for Development in the 21st Century (PARIS21)

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Sophie Kenneally

Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia)

Building on examples from across the globe, the session will give insights into how data from national Multidimensional Poverty Indices (MPI) can be used to inform the design and implementation of poverty alleviation policies and programs. The event will highlight the crucial link between frequent and disaggregated poverty data that is built on the precise deprivations each household faces, and policy action. This special session will also reflect on the current multidimensional data landscape in household surveys and registries, its challenges, and new avenues for measurement. Bringing together leading voices from international agencies, governments, statistical offices and academia, the session will propose how surveys and MPIs can best adapt to capture new development goals, such as those related to digitalization, environmental protection, gender mainstreaming, social connectivity, and mental and physical health. Crucially, the panel will discuss how collaboration between national and global, and public and private stakeholders can increase investment in key data resources, strengthen the availability and use of data on multidimensional poverty, and improve data literacy among decision-makers.

Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Piedad Urdinola Contreras

Sabina Alkire
Oxford Department of International Development (OPHI)

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Sabina Alkire

Organiser(s): Programa de las Naciones Unidas para el Desarrollo (PNUD), Centro de Polticas Globales para la Gobernanza; Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Oficina de las Naciones Unidas contra la Droga y el Delito (UNODC); Servicio de Estadstica de Ghana (GSS); Comisin Nacional de Derechos Humanos de Kenia; Observatorio para la Equidad de la Mujer (OEM); Red de Ciudades Cmo Vamos; Oficina Nacional de Estadsticas de Kenia (KNBS); Unidad para la Atencin y Reparacin Integral a las Vctimas (UARIV), Colombia

Recognizing the imperative need to effectively close gaps in population segments traditionally not captured in existing statistical operations, the importance of leveraging citizen data as alternative information sources has been recognized in different contexts. These data, whether structured or unstructured, can complement official statistics to close information gaps or even serve as an option for measuring official indicators. To educate and build connections with populations, as well as to support decision-making in public policy, it is crucial to study and appropriate these data. However, this universe of available data cannot be used indiscriminately to generate reliable measurements. It is necessary to establish regulatory frameworks for their treatment, standardization, and quality assurance so that these data can be appropriate for analytical and statistical purposes. This session will explore significant advancements and initiatives in the use of citizen data for statistical development. The session will highlight improvements in quality and regulatory frameworks, focusing on the cases such as Colombia, where advancements in regulation have been made; Kenya, which has developed specific criteria for data validation; and Ghana's adoption of a "citizen science approach" to fill current information gaps. The session will also highlight key initiatives where citizens actively capture data for statistical development. One example is the citizen science initiative by the Ghana Statistical Service and the UNDP Global Policy Centre for Governance, which measures citizen satisfaction with public services (SDG indicator 16.6.2). Another example is the work of Colombia Diversa developing LGBTIQ+ measurements using citizen data and its recent support on DANE's Project to leverage citizen data in the country. Lastly, the session will present other innovative approaches of collecting data, namely, the UNODC Drug Monitoring Platform, which collects, visualizes, and shares drug seizure data, offering near real-time access to insights on drug trafficking trends. These examples demonstrate the valuable role of citizen data in enhancing statistical development and informing policy decisions.

Julieth Solano
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Julieth Solano

Sarah Omache
Kenya National Bureau of Statistics (KNBS)

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Sarah Omache

Francesca Massanello
United Nations Office on Drugs and Crime (UNODC)

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Francesca Massanello

Arvinn Gadgil
United Nations Development Programme (UNDP)

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Arvinn Gadgil

Omar Seidu
Ghana Statistical Service (GSS)

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Omar Seidu

Omar Seidu is a social statistician with over 22 years of experience in statistics production. With the responsibility of coordinating data for monitoring the Sustainable Development Goals in Ghana, Omar leads a drive around data innovation, a multi-stakeholder approach to data production and strengthening administrative data systems. He serves on several national and international platforms on data for sustainable development.

Organiser(s): Comit del Programa del Foro Mundial de Datos de la ONU (UNWDF PC)

Esteban Gallego Restrepo
Comfenalco

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Esteban Gallego Restrepo

Leota Aliielua Salani
Samoa Bureau of Statistics

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Leota Aliielua Salani

Organiser(s): Comit del Programa del Foro Mundial de Datos de la ONU (UNWDF PC)

Roeland Beerten
National Bank of Belgium

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Roeland Beerten

Roeland Beerten is Chief Statistician and head of the Statistics Department at the National Bank of Belgium, where he has responsibility for the national accounts and financial statistics.  Before that he was Chief Statistician of Flanders, Belgium, where he established the Flanders Statistics Authority to coordinate the official statistics system for the government of Flanders.  Prior to his work in Belgium, he worked at the UK Office for National Statistics (ONS) in various leadership roles for over 14 years, and as Director of Policy and Public Affairs at the Royal Statistical Society in London.

Joshua Powell
Development Gateway (DG)

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Joshua Powell

Stefaan Verhulst
The Governance Lab (GovLab)

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Stefaan Verhulst

Stefaan G. Verhulst is Co-Founder of the Governance Laboratory (The GovLab), an action research center focused on transforming decision making using advances in science and technology - including data and collective intelligence. He is also the Co-Founder and Principal Scientific Advisor of The DataTank, based in Brussels, a do-and-think tank that focuses on how to re-use data differently to serve the common good.In addition, he is a Research Professor at the Center for Urban Science and Progress at the Tandon School of Engineering of New York University; the Editor-in-Chief of the open-access journal Data & Policy (Cambridge University Press); the Research Director of the MacArthur Research Network on Opening Governance; Chair of the Data for Children Collaborative with Unicef; a member of the High-Level Expert Group to the European Commission on Business-to-Government Data Sharing; and of the Expert Group to Eurostat on using Private Sector data for Official Statistics. In addition he is also a member of the UNESCO Information Ethics Working Group; Researcher at the ISI Foundation; Member of SMIT at the Free University of Brussels (VUB) and a Senior Advisor to the Markle Foundation where he spent more than a decade as Chief of Research. In 2018 he was recognized as one of the 10 Most Influential Academics in Digital Government globally (by the global policy platform Apolitical).Previously at Oxford University, he was the UNESCO Chairholder in Communications Law and Policy and co-founded and was the Head of the Program in Comparative Media Law and Policy at the Center for Socio-Legal Studies. He was the Socio-Legal Fellow at Wolfson College, and is still an emeritus fellow at Oxford. He also taught for several years at the London School of Economics and was Co-Founder and Co-Director of the International Media and Info-Comms Policy and Law Studies (IMPS) at the University of Glasgow School of Law.He has published widely - including seven books- and his writings and work have appeared in the Harvard Business Review, Stanford Social Innovation Review, Project Syndicate, Wall Street Journal, and The Conversation (among many other outlets). He is asked regularly to present at international conferences including, for instance, TED, Collision, and the UN World Data Forum. Numerous organizations have sought his counsel - including the WorldBank; IDB, CAP, USAID, DFID, IDRC, AFP, the European Commission, Council of Europe, the World Economic Forum, UNICEF, OECD, UN-OCHA, UNDP, UNESCO and several other international and national private and public organizations. He is also a Linkedin Learning instructor seeking to democratize the practice of data stewardship globally.

Organiser(s): Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); Universidad EAFIT; Agencia Espacial Europea (ESA); Universidad de Twente

Focus: Human settlements are transforming rapidly, while national to city-level statistics often lag in timely capturing these processes. Data innovations are required to combine alternative data sources (e.g., Geospatial, Earth Observation (EO) and Citizen Generated (CS) data) with official statistical data to provide timely data for location-based policies. This interactive learning session provides hands-on experiences of several data ecosystems linked to housing and environmental deprivations. The participants will be guided on accessing and analyzing ready-to-use data products that address challenges on housing, poverty, urbanization and environment (hazards and assets) - with a specific focus on how to combine EO, Geospatial, and CS with official data (gridded housing indicators). The training will guide participants in accessing data for local monitoring and policy support. Scope: The Learning Session will illustrate how EO data can support local and national governments, Non-Governmental Organizations (NGOs), community groups and other actors in addressing reporting needs and guiding policy actions. During the training, we showcase the potential of data innovations to support these activities. For example, to support responsible climate adaptation, local dialogue requires high-quality, timely, reliable and disaggregated data at the local level, considering the social, economic, and environmental dimensions. For this purpose, we will illustrate Data Ecosystem examples, e.g., IDEAtlas (https://ideatlas.eu), IDEAMAPS (https://www.ideamapsnetwork.org) or the National Gridded Data Ecosystem of the National Institute of Statistics and Geography (INEGI). Participants can select 1 or 2 Data Ecosystems to explore how relevant local indicators can be generated. This exploration will be followed by a discussion on the role of such data for evidence-based policymaking on increasing equity in urban spaces as well as provide feedback on ethical considerations, data quality and trust building for data. Participants will learn from each other and increase awareness of existing data. The participants' feedback will fuel the improvement of Data Ecosystems through a two-sided learning experience. The session is designed for an audience with no or little prior Geospatial knowledge. Objectives: The main objective of the session is to learn about recent developments in combining EO, CS Data and Geospatial data with official statistics (e.g., census), in support of the monitoring of housing and environmental conditions. The learning sessions will allow participants to learn how to work with data portals that have been built with consideration of ethical questions of not exposing vulnerable groups. Overall, we provide a platform for policy dialogue and knowledge sharing on the importance of housing and environmental conditions as a lever for alleviating poverty, improving developmental outcomes, generating economic growth, and climate adaptation.

Monika Kuffer
University of Twente

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Monika Kuffer

Dennis Mwendwa Mwaniki
United Nations Human Settlements Programme (UN-Habitat)

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Dennis Mwendwa Mwaniki

Raian Vargas Maretto
University of Twente

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Raian Vargas Maretto

Andrea Ramirez Santiago
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)

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Andrea Ramirez Santiago

Andrea Ramírez Santiago has a degree in Geography from the National Autonomous University of Mexico (UNAM). Currently working as a senior advisor of the governing board at National Institute of Statistics and Geography of Mexico (INEGI) and deputy director of geographical and environmental information assessment. Most of her 8 years of career in the Mexican federal government he has been exploring new methodologies based on geospatial technologies (including Earth Observation) and machine learning to advance the integration and interoperability of geographic and statistical information. Her main responsibility has been formulating strategies to activate the data through processes that facilitate their collection, storage, interoperability, visualization, and analysis, for a public benefit. Her interests focus on exploring the potential of geospatial technologies, and machine learning, for data collection, integration, interoperability, and analysis; test new methodologies with a geospatial approach to generate useful information for decision making; and design strategies for visualization and communication of information products, to activate the growing number of geospatial data.

Julio Pedrassoli
Mapbiomas

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Julio Pedrassoli

Jose Jaime Samper Escoba
University of Colorado

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Jose Jaime Samper Escoba

Juan Pablo Ospina Zapata
Universidad Eafit

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Juan Pablo Ospina Zapata

Organiser(s): Iniciativas de Impacto (IMPACT Initiatives); Inclusive Data Charter; Alianza Internacional de Datos para Nios en Movimiento; Save the Children; Iniciativa REACH; Internal Displacement Monitoring Centre (IDMC); United Nations Major Group for Children and Youth (UN MGCY); Direction de la statistique et des tudes dmographiques (DISED-Djibouti)

Children and adolescents, who represent 40% of forcibly displaced populations (UNHCR), face unique challenges that are often overlooked in humanitarian data. This contributes to a lasting gap regarding how international and national actors understand and respond to their needs. In particular, the climate crisis is amplifying risks and deprivations for children around the globe. The proposed panel discussion is designed to address the critical importance of integrating children on the move (COM) into humanitarian research. The panel will start with a 5-min keynote speech by the International Data Alliance for Children on the Move (IDAC). This introductory statement will draw attention to the gaps which persist within international and national data ecosystems, issues pertaining to the definition of COM in data practices, and the pivotal role played by quality data in operationalizing humanitarian and international goals pertaining to the well-being of children. A 45-min panel discussion will then take place, inviting international organizations, national and youth representatives to unpack the data needs and gaps for informed policy, research and programs. Themes covered during the discussion will encompass coordination between national and international data producers, specific hurdles and good practices related to producing evidence on children in climate-related mobility and effective and safe inclusion of children, including internally displaced children, in data practices. By convening data practitioners alongside international and local organizations working in this area, the panel will highlight various initiatives. Representants from the Inclusive Data Charter and the National Statistics Office of Djibouti will contribute on incorporating COM into international and national data frameworks, advocating for an inclusive and intersectional approach that recognizes the diverse needs of children and young people to inform policy effectively. A youth representative from the Migration, Youth and Children Platform (MYCP) will speak on young peoples perspectives related to data gaps and needs on COM, including in the context of climate-related displacement, and the importance of inclusion in data collection exercises. Save the Children Colombia and the Internal Displacement Monitoring Centre (IDMC) will share their experience and discuss innovative approaches to gathering, analyzing and using data on COM in the context of climate-related displacements through secondary data review, risk models, field research and setting up inclusive accountability mechanisms. The discussion will be moderated by IMPACT Initiatives and followed by a 10 min Q&A. The event aims to acknowledge current gaps as much as opportunities and pathways for solution. Doing so, it will contribute to building a shared understanding of the state of inclusion of COM in data practices and make a case for stronger investment in child-focused data efforts at all governance levels.

Hector Poveda
United Nations Major Group for Children and Youth (UN MGCY)

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Hector Poveda

Claudia Cappa
United Nations Children's Fund (UNICEF)

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Claudia Cappa

Ivana Hajzmanova
Internal Displacement Monitoring Centre (IDMC)

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Ivana Hajzmanova

Mike Bolton
Inclusive Data Charter

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Mike Bolton

Cosima Cloquet
IMPACT Initiatives

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Cosima Cloquet

Jeremias Pabon
Save the Children

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Jeremias Pabon

Organiser(s): Comisin Econmica para Amrica Latina y el Caribe de las Naciones Unidas (CEPAL); Oficina Estadstica Europea (Eurostat); Instituto Nacional de Estadstica (INE-Paraguay); Instituto Brasileo de Geografa y Estadstica (IBGE)

The definition of public policies to achieve the full development of the countries implies making decisions based on evidence that includes not only robust data and statistics about socio, economic and environmental processes, but also the possibility of referring to them in the territory, since they occur in a place and at a given time. Today more than ever, the demands for information coming from the global and regional agendas to which countries are committed to contribute require an interoperable data ecosystem that promotes the integration of a diversity of sources and formats to inform and facilitate data-driven and evidence-based decision making to support local, sub-national, and national development priorities and global agendas. An ecosystem of interoperable data banks represents the capability of housing diverse datasets pertaining to various subjects, each governed by its own logic and technological infrastructure. However, the key feature lies in their ability to seamlessly communicate with one another, enabling the sharing of information that is accessible across different environments and comprehensible to any of them. These data banks can effectively manage a wide array of datasets, including statistical information, administrative records, multimedia content, metadata, satellite images, qualitative data, among others. Despite the varied organizational models, standards, and practices employed by each data bank, they possess the crucial ability to interoperate within the ecosystem. This is achieved through standardized information exchange protocols, such as APIs, fostering harmonious collaboration among the interconnected data banks. The concrete manifestation of an interoperable ecosystem lies in the implementation of data dissemination platforms sourced from diverse data banks. These platforms are designed to be accessible to end-users comprehensively, offering a holistic view of the information at hand. They are typically presented as web applications, such as dashboards, these platforms showcase data visualizations such as statistical graphs, KPIs, maps, and reports. Importantly, they are dynamically updated in real-time to reflect any modifications made to the original data. These platforms are equipped with functionalities for seamless data consultation, in-depth analysis, and personalized data downloads. Moreover, they often provide data accessibility through well-documented APIs, ensuring correct usage and facilitating integration into various systems. The purpose of this session is to provide a space of discussion and exchange on experiences in the development of dissemination platforms based on an interoperable data bank ecosystem, allowing users to access a diverse range of data, conduct analysis, and process queries. It is expected that the experience and knowledge provided by the speakers of the session can be brought and used as reference by the audience in their corresponding organizations and countries.

Gemma Van Halderen
Department of Social Services (DSS)

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Gemma Van Halderen

Rolando Ocampo
United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL)

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Rolando Ocampo

Claudio Stenner
Instituto Brasileiro de Geografia e Estatistica (IBGE)

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Claudio Stenner

Ivan Ojeda
Instituto Nacional de Estadistica (INE-Paraguay)

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Ivan Ojeda

Organiser(s): NoBrainerData; Oficina Nacional de Estadstica (ONE-Repblica Dominicana)-Conferencia Estadstica de las Amricas; Departamento de Estadsticas de Montserrat; Alianza Data-Pop; Oficina Central de Estadstica (CSO-Grenada)

CARIBBEAN DATA SOLUTIONS HUB An Enhanced Proposal for Establishing a Data Hub in the English-Speaking Caribbean through a Public-Private Partnership Context and Need: The absence of up-to-date poverty and inequality data in the Caribbean has been highlighted as a significant issue, with many countries collecting substantial amounts of information that remain unprocessed and underutilized. This gap in data management hampers progress toward improving lives and ending poverty. Proposal: To address this, a proposal has been made to establish an innovative and inclusive Data Solutions Hub in the English-speaking Caribbean through a strategic public-private partnership. This hub aims to enhance data collection, processing, analysis, and utilization to meet the growing demands for data-driven decision-making. Public-Private Partnership: The proposed Data Solutions Hub will leverage resources and expertise from the region and the diaspora, providing comprehensive solutions for data needs. This includes support for data collection, processing, and dissemination, facilitating informed decision-making across both public and private sectors. Key Priorities for Sustainability: The hub will prioritize areas critical to the Caribbean, such as climate resilience, poverty, economic growth, demographic vulnerability, workforce, healthcare, insurance, and education. By integrating state-of-the-art technology and expertise from various entities, the hub aims to maintain an up-to-date, secure, and accessible data ecosystem. New Model for Small Island States: This initiative aims to foster innovation, enabling data-driven public policies and private initiatives that support sustainable growth and integration within the Caribbean community. The collaborative nature of the hub will enhance regional capabilities, overcoming limitations posed by the small size of individual Caribbean nations. This collective approach will strengthen international competitiveness and position the Caribbean as a model for data-driven sustainable development. Governance Structure: The governance structure of the Data Hub will include national data producers, particularly the Statistical Offices of Caribbean countries, as primary stakeholders. It will also involve regional and global organizations such as the World Bank, IFC, Caribbean Development Bank, UN agencies, and others. The IFC will manage private sector involvement, while NoBrainerData will coordinate technical assistance, involving global organizations dedicated to data for development. This proposal aims to create a sustainable and efficient data ecosystem in the Caribbean, fostering collaboration and innovation for the collective benefit of the region.

Miosotis Rivas Pena
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Miosotis Rivas Pena

Miosotis Rivas has held the position of General Director of the National Statistics Office of the Dominican Republic since August 2020. She has a degree in economics with master's degrees in Economic Policy, Gender and Development and Human Development. She has extensive work experience in the Central American and Caribbean region in matters of regional integration, development and public policies, public equality policies, gender mainstreaming and trade negotiations. She has worked closely in strengthening the Central American Integration System, recently as the Executive Director of the Regional Center for the Promotion of Micro, Small and Medium Enterprises (CENPROMYPE) and previously as the Technical Secretariat for Women of the Council of Ministers of Women of Central America, space from which he promoted the first regional gender equality and equity policy (PRIEG). She was a representative of UN Women in Dominican Republic and has vast experience as a lecturer in different universities. Active member of various feminist and Contemplative Extension spaces.

Emmanuel Letouze
Data-Pop Alliance

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Emmanuel Letouze

Jose Miguel Guzman
NoBrainerData

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Jose Miguel Guzman

Halim Brizan
Central Statistical Office (CSO-Grenada)

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Halim Brizan

Organiser(s): Investigacin de TIC en frica; Comisin Econmica para frica de las Naciones Unidas (UNECA); Unin Internacional de Telecomunicaciones (UIT); Centro Regional de Estudios para el Desarrollo de la Sociedad de la Informacin (Cetic.br)

The session is grounded in the recognition by the UNSG of digitalisation as one of two seismic shifts set to shape the 21st century and which, if improperly managed, could result in a widening of inequalities between and within countries. The rapid advances in digital technology adoption around the world has potential to drive progress towards all 17 SDGs, however recent trends have highlighted deep digital inequalities and the compounding effect of these on existing structural inequalities. A key issue constraining policy-making to stimulate inclusive digital technology adoption in Africa is the lack of data on the vast majority of individuals who do not have any digital footprint. Increasing AI diffusion poses new harms as the databases feeding into AI systems have no visibility on these individuals, hence outcomes either ignore or discriminate against them. The session will begin with a presentation on the After Access surveys, the only nationally representative household survey on digital technology access and use across multiple African countries. The analysis will highlight the heterogeneity of digitalisation and move beyond access to also look at how technologies are used. This will show that even where supply-side infrastructural conditions for access have largely been achieved, access and level of use in many countries remains low. This will be followed by two short presentations highlighting innovative uses of data for policymaking processes in Uganda and Colombia. The presentations will be followed by remarks from four prominent experts. First will be a discussion of the data challenges in Kenya from the National Statistics Bureau. This will be followed by an overview of Cetic.br, a non-profit agency collecting and disseminating demand-side data to inform a public-private partnership in Brazil (CGI.br) which has valuable learnings for Africa. The ITU will then provide a status report on digital indicators in Africa from a global lens. To round off the discussion, UNECA will then discuss the policy implications of persistent digital inequality and lack of African visibility and representation in the giant datasets driving the digital economy. This will lead into a roundtable discussion with questions from the moderator as well as space for questions from the audience to bring fresh new angles and perspectives into the conversation. The final objective will be to produce a set of key policy imperatives tied to actors to champion taking forward.

Stephen Chacha
Development Initiatives Poverty Research

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Stephen Chacha

Linah Ngumba
Kenya National Bureau of Statistics (KNBS)

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Linah Ngumba

Fabio Senne
Regional Center for Studies for the Development of the Information Society (Cetic.br)

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Fabio Senne

Esperanza Magpantay
International Telecommunication Union (ITU)

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Esperanza Magpantay

Andrew Partridge
Research ICT Africa

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Andrew Partridge

Soraya Husain Talero
Fundacion WWB

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Soraya Husain Talero

Mactar Seck
United Nations Economic Commission for Africa (UNECA)

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Mactar Seck

Organiser(s): Instituto Aapti; Fundacin Robert Bosch GmbH

There is an increasing proliferation of digital technologies being deployed to manage human mobility across borders AI, automation, biometric databases and facial recognition. Data acts as a fundamental layer sustaining these digital interactions, leading to the creation of large-scale data infrastructures that function as sites of control for state and private actors. Aapti Institute is amidst a year-long study exploring this intersectionality of human mobility and data infrastructuresevaluating how individuals interact with technology on the move. At the UN World Data Forum we want to showcase our findings and potential solutions, by bringing together subject-matter experts in an interactive discussion with stakeholder groups present in the audience. The session moderated by members of the Aapti team, will be designed as a consultation geared towards identifying breakdowns in the data ecosystem. The objective of the session would be to generate ideas for building sustainable partnerships within the migration data landscape, by doing a deep dive into case studies: 1) Forced migration of Rohingya refugees: We will present findings from our fieldwork in collaboration with UNDP Bangladesh, where we interacted with refugees within camps, and held meetings with aid and assistance organisations present there. Potential solution area: Can we adopt principles of the digital public infrastructure (DPI) approach to design and implement open, interoperable, and extensible technologies to enable bottom-up participation for integrated service delivery from multilaterals, NGOs and private actors active in this space? 2) Nepali labour migration to India: Based on our understanding of India's digital infrastructure, and the provisions that Nepali labour migrants are eligible for as per inter-country agreements, we will provide an overview of how Nepali migrants are interacting with digital technologies in India. Potential solution area: Can we rely on data stewardscommunity-oriented, trusted intermediaries for data managementto facilitate greater participation of migrant communities in decision-making about how their data is used? Can data stewards identify value streams for migrant communities to help them navigate newer social contexts? Suggested format: Both case studies to be conducted simultaneously in breakout rooms, and audience to be categorised into stakeholder groupsmultilateral, CSO, private, state, non-state, other. The breakout room will be organised in the following manner: 0 - 0:10 mins: Aapti provides an overview on the case study 0:10 - 0:25 mins: Panel discussion with 3 subject-matter experts 0:25 - 0:40 mins: Each stakeholder group presents their viewpoints. 0:40 - 0:60 mins: End of breakouts, followed by collective workshopping on solutions. Value-add for audience: Enaging with tools developed to present breakdowns in each case study in a gamified format, and an opportunity to network with stakeholders in the ecosystem.

Stefaan Verhulst
The Governance Lab (GovLab)

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Stefaan Verhulst

Stefaan G. Verhulst is Co-Founder of the Governance Laboratory (The GovLab), an action research center focused on transforming decision making using advances in science and technology - including data and collective intelligence. He is also the Co-Founder and Principal Scientific Advisor of The DataTank, based in Brussels, a do-and-think tank that focuses on how to re-use data differently to serve the common good.In addition, he is a Research Professor at the Center for Urban Science and Progress at the Tandon School of Engineering of New York University; the Editor-in-Chief of the open-access journal Data & Policy (Cambridge University Press); the Research Director of the MacArthur Research Network on Opening Governance; Chair of the Data for Children Collaborative with Unicef; a member of the High-Level Expert Group to the European Commission on Business-to-Government Data Sharing; and of the Expert Group to Eurostat on using Private Sector data for Official Statistics. In addition he is also a member of the UNESCO Information Ethics Working Group; Researcher at the ISI Foundation; Member of SMIT at the Free University of Brussels (VUB) and a Senior Advisor to the Markle Foundation where he spent more than a decade as Chief of Research. In 2018 he was recognized as one of the 10 Most Influential Academics in Digital Government globally (by the global policy platform Apolitical).Previously at Oxford University, he was the UNESCO Chairholder in Communications Law and Policy and co-founded and was the Head of the Program in Comparative Media Law and Policy at the Center for Socio-Legal Studies. He was the Socio-Legal Fellow at Wolfson College, and is still an emeritus fellow at Oxford. He also taught for several years at the London School of Economics and was Co-Founder and Co-Director of the International Media and Info-Comms Policy and Law Studies (IMPS) at the University of Glasgow School of Law.He has published widely - including seven books- and his writings and work have appeared in the Harvard Business Review, Stanford Social Innovation Review, Project Syndicate, Wall Street Journal, and The Conversation (among many other outlets). He is asked regularly to present at international conferences including, for instance, TED, Collision, and the UN World Data Forum. Numerous organizations have sought his counsel - including the WorldBank; IDB, CAP, USAID, DFID, IDRC, AFP, the European Commission, Council of Europe, the World Economic Forum, UNICEF, OECD, UN-OCHA, UNDP, UNESCO and several other international and national private and public organizations. He is also a Linkedin Learning instructor seeking to democratize the practice of data stewardship globally.

Rohan Pai
Aapti Institute

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Rohan Pai

Aaron Martin
University of Virginia

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Aaron Martin

Amrita Nanda
Aapti Institute

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Amrita Nanda

Organiser(s): Alianza Global para los Datos del Desarrollo Sostenible (GPSDD); Agencia Presidencial de Cooperacin Internacional (APC-Colombia); Oficina de Estadsticas de Bangladesh (BBS); Oficina de Relaciones Exteriores, Commonwealth y Desarrollo del Reino Unido (FCDO); MSD United Way Vietnam; Centro Internacional de la Sociedad Civil

Some of the key point for the Leave No One Behind agenda, are related with Inclusive Data, bringing to the table some kay elements to really make a step forward: Prioritization of data, disaggregation and intersectionality. Those 3 elements could not be useful to a large extent without the complementarity of Citizen Generated Data, taking elements that may be used by civil society groups, but never reach the official Data reports, having the opportunity to fill this gap to generate information for the structuring of public policies and to be used by decision makers. Citizen Generated Data has the capacity to be used within the official information systems of governments, and in some countries, there are advanced processes of experiences in this field, bringing good practices that can be taken as a reference for other countries, such as, for example, the coordination between civil society organisations and national statistics institutes, taking the quality information already collected and verified by a CSO. Such exercises are being carried out in countries such as Bangladesh, Malawi, and Vietnam. More recently, the Copenhagen Framework was developed to provide a structure for envisioning and reaching consensus on the various roles citizens can undertake in data-related activities, facilitating the development of strategic actions for both the citizen data and statistical communities as they progress. This is where efforts to generate cooperation initiatives that facilitate exchanges of experiences and good practices between countries to enhance the opportunities of Citizen Generated Data in the challenges of Inclusive Data become important. This can be achieved with the support of partners such as the Colombian Presidential Agency for International Cooperation APC Colombia and the UK Foreign, Commonwealth and Development Office (FCDO), as a donors and promoters of these Cooperation initiatives and actors such as the Global Partnership for Sustainable Development Data (GPSDD) and the International Civil Society Centre that provide technical support and generate a match between the different experiences among regions. The aim is to generate a conversation between National Statistical Offices, Civil Society Organisations and cooperation agencies, to share these good practices in inclusive data and citizen-generated data that can even be leveraged to be shared with other countries through cooperation initiatives under modalities such as South-South. Objectives: The session will showcase insights from the co-creation processes in the three countries, highlighting common challenges and limitations, best case approaches and overall learnings, elevating the importance of inclusive data processes across data communities for policy decisions. The audience will benefit from first-hand insights and get inspirations for how such a process could be implemented in their countries. This also demonstrates the value of peer learning in particular south to south.

Jenna Slotin
Global Partnership for Sustainable Development Data (GPSDD)

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Jenna Slotin

Jacqueline Owigo
UK Foreign, Commonwealth and Development Office (FCDO)

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Jacqueline Owigo

Mary Shawa
Plan International

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Mary Shawa

Eleonora Betancur Gonzales
Presidential Agency for International Cooperation (APC)

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Eleonora Betancur Gonzales

Jacqueline Owigo
UK Foreign, Commonwealth and Development Office (FCDO)

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Jacqueline Owigo

Organiser(s): Ministerio de Derechos Humanos y Ciudadana; Naciones Unidas (ONU); Fundacin Corona

Esta sesin rene una discusin sobre tres iniciativas importantes que estn transformando la forma en que se utilizan los datos para promover la justicia, la inclusin y los derechos humanos en Argentina, Brasil y Colombia. Estas iniciativas, cada una con su enfoque especfico, convergen en su objetivo de utilizar datos de manera innovadora e inclusiva para informar polticas pblicas y decisiones estratgicas. Red de Ciudades Cmo Vamos presentar los resultados de la Encuesta de Percepcin Ciudadana Comparada 2023. Esta encuesta recopila datos de percepcin sobre diversos temas, incluidas las condiciones econmicas, la seguridad y el desempeo de la administracin municipal. La importancia de estos datos radica en su capacidad para informar la construccin de planes de accin y polticas pblicas que reflejen las realidades sociales que los ciudadanos perciben como prioritarias. La iniciativa demuestra cmo se pueden utilizar los datos estadsticos para fortalecer la toma de decisiones basada en evidencia. Red Internacional de Justicia Abierta presentar el Estndar de Datos de Abiertos de Justicia (EDAJ), una herramienta metodolgica diseada para asegurar la publicacin precisa y accesible de datos abiertos relacionados con la justicia. EDAJ destaca la inclusin y la equidad, promoviendo la transparencia y el respeto a los derechos humanos a travs de la publicacin de datos abiertos. Tambin muestra cmo se pueden utilizar los datos de justicia para crear sistemas ms justos y centrados en las personas, que reflejen las necesidades de las poblaciones vulnerables. El Ministerio de Derechos Humanos y Ciudadana de Brasil presentar ObservaDH - Observatorio Nacional de Derechos Humanos, una plataforma dedicada a la difusin y anlisis de informacin estratgica sobre derechos humanos en Brasil. La plataforma se centra en la diversidad y la equidad, proporcionando datos detallados sobre grupos sociales vulnerables y temas transversales. ObservaDH utiliza narrativas de datos accesibles y paneles interactivos para ofrecer una visin integral de las condiciones de vida y los desafos que enfrentan estos grupos, promoviendo polticas pblicas ms informadas e inclusivas. Estas tres iniciativas ilustran cmo el uso innovador de los datos puede fortalecer la transparencia, la inclusin y la equidad en la formulacin de polticas pblicas y planes de gobierno. Juntos, ofrecen una visin integrada de cmo se pueden utilizar los datos para promover la justicia social, los derechos humanos y en general, la mejora en la calidad de vida, destacando la importancia de los enfoques centrados en las personas y basados en evidencia.

Alejandra Fierro Valbuena
Red de Ciudades Como Vamos

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Alejandra Fierro Valbuena

Pedro de Lemos MacDowell
Ministerio dos Direitos Humanos e Cidadania

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Pedro de Lemos MacDowell

Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia) / Instituto Nacional de Estadstica y Censos (INEC-Ecuador); Crece sin Desnutricin Infantil, Ecuador; Corporacin Andina de Fomento; Vital Strategies / Programa de las Naciones Unidas para el Desarrollo (PNUD) / Fondo de Poblacin de las Naciones Unidas (UNFPA)

El objetivo de la presente ponencia es describir nuevas metodologas y tcnicas para la recoleccin de informacin sobre poblacin tnica que pueden aportar para superar las dificultades histricas en la captacin de la diversidad tnico racial. Colombia es un pas con una gran diversidad tnico-racial, por tal motivo, el DANE trabaja permanentemente en el levantamiento de informacin sobre poblacin tnica, en la implementacin de metodologas participativas para la identificacin de poblacin tnico-racial en operaciones estadsticas, y en la produccin de estadsticas oficiales sobre el tamao y las caractersticas de la poblacin tnico-racial. Histricamente, en el pas se han presentado algunas dificultades en la identificacin de la poblacin tnico racial provocada los factores demogrficos, identitarios y culturales. En este sentido, el DANE emprende una serie de iniciativas innovadoras que se enfocan en optimizar los procesos de recoleccin de informacin de poblacin tnica para evitar una variacin irregular del volumen de la poblacin tnica en algunos periodos, que en muchas ocasiones, se atribuye a las metodologas censales y a las prcticas de clasificacin tnico-racial en las estadsticas oficiales. La metodologa de autorreconocimiento y heteroreconocimiento tnico racial consisten en la formulacin de preguntas sobre pertenencia a un pueblo indgena o sobre la identificacin con una identidad tnico-racial, de acuerdo con la cultura y los rasgos fsicos de la persona. El uso de la metodologa de autorreconocimiento ha posibilitado el aumento de la visibilizacin estadstica de la poblacin tnico racial. Este enfoque se alinea con el compromiso del Plan de Accin Global de Ciudad del Cabo de promover la igualdad, la inclusin y la no discriminacin en el desarrollo urbano. Se disearon dos muestras probabilsticas para cuatro ciudades de inters: Cali, Medelln, Barranquilla y Cartagena. Se utiliz informacin proveniente de los microdatos de los censos de 2005 y 2018 y el marco de georreferenciacin de 2018. El estudio permite conocer la distribucin porcentual de la poblacin tnica segn los mtodos del autorreconocimiento y del heterorreconocimiento en las escalas de colores por parte de las personas que se autoidentificaron como afrodescendientes, blancos o mestizos e indgenas. Con referencia al autorreconocimiento en la escala de colores PERLA se observa que los tres grupos poblacionales graficados -afrodescendientes, blancos o mestizos e indgenas tienden a concentrarse en valores intermedios de la escala de colores. Es posible concluir que tanto el autorreconocimiento como el heterorreconocimiento pueden aportar en la identificacin de desigualdades en la sociedad (en mayor o menor medida). Sin embargo, desde el heterorreconocimiento, al generarse unas tipologas o paletas de color, se podran presentar equvocos en la definicin de qu tipologas pertenecen a grupos tnico-raciales. / Stunting affects 20,1% of children under 2 in Ecuador and costs 2,4% of the GDP annually. Preventing it has been a national priority since December 2020. The Unified and Universal Nominal Monitoring System for the Reduction of Stunting (SUUSEN), is an integrated system of administrative records that links data from the Ministry of Public Health, Ministry of Economic and Social Inclusion, Ministry of Education, Social Registry Unit and Civil Registry in Ecuador. This system allows to: 1) identify pregnant women and children under 2 years on a daily basis, filtering out those who no longer belong to this population, and including those newly identified; 2) identify every day the needs of pregnant women and children under 2 years to refer them to the territorial providers of services to prevent stunting; 3) build monthly monitoring indicators of the National Strategy Ecuador Grows without Child Malnutrition (ENECSDI); 4) early identify the possible beneficiaries of the 1000-day Bonus, a conditional cash transfer to prevent stunting, and verify compliance with family conditionalities; 5) monitor the progress of the goals defined by each municipality in the critical indicators of ENECSDI; 6) return information to citizens about the evolution of their pregnancy and the growth of their children along with educational information on comprehensive child development through a mobile application; 7) provide individualized monitoring from pregnancy; and 8) capture, through a mobile application and a web application, the population that does not appear in any administrative record. SUUSEN, was launched in June 2022 in its first version and in April 2023 in its most complete version, which has been strengthened day by day. It now monitors around 520,000 children under 2 years and 100,000 pregnant women daily. Over 800,000 referrals have been sent, resulting in 300,000 timely health, social protection, comprehensive child development, identification, and education services. Over 40 ENECSDI monitoring indicators have been built, defining national and local goals. As of January 2024, over 100,000 eligible people for the 1000-day Bonus have been identified, providing individualized monitoring of compliance with family conditionalities. The "Infancia EC" mobile application has been deployed for pregnant women and mothers to monitor their children's development and obtain advice for their comprehensive development. Finally, and most importantly, the coverage of the prioritized package to prevent stunting was expanded among more than 50,000 children under 24 months of age and pregnant women from June 2022 to noviembre 2023. Ecuadors experience in creating an interoperable data system to address a health priority in real time will serve as an example and inspiration to other entities seeking to address population health issues through data use. / La dinmica demogrfica de Mxico y varios pases de LAC ha cambiado de manera notoria en los ltimos aos, enfrentando procesos como envejecimiento de demogrfico, las disporas migratorias y los efectos de eventos coyunturales que son factores determinantes en las tendencias demogrficas a gran escala como es la pandemia de COVID-19. Uno de los desafos de los gobiernos en todo el mundo es la difusin de informacin al alcance de las personas tomadoras de decisiones. En Mxico, la Secretara General del Consejo Nacional de Poblacin (CONAPO) pone a disposicin de los actores locales las siguientes herramientas para guiar procesos de planeacin prospectiva en distintos niveles de gobierno y sin la necesidad de conocimiento especializado que muchas veces no existe en estos niveles de gobierno. 1)Visualizador especializado de variables demogrficas. Es una herramienta que permite el procesamiento y anlisis de datos de la Conciliacin Demogrfica de Mxico 1950-2019 y las Proyecciones de Poblacin de Mxico 2020-2070, mediante el clculo individualizado de los principales indicadores relacionados con la poblacin y los componentes de la dinmica demogrfica (Mortalidad, Fecundidad y Migracin). Esta herramienta posibilita la identificacin de patrones demogrficos y comparaciones entre entidades federativas y municipios, en atencin a las necesidades y objetivos del usuario. 2) Micrositio de indicadores demogrficos. Es una herramienta que permite consultar de manera rpida y eficiente los principales indicadores demogrficos correspondientes a Poblacin, Mortalidad, Fecundidad, Migracin internacional, Migracin interna y Grupos de edad presentes en la base de datos de la Conciliacin Demogrfica de Mxico 1950-2019 y las Proyecciones de Poblacin de Mxico y las entidades federativas 2020-2070. 3) Libros con las pautas demogrficas a nivel estatal para uso y conocimiento en la formulacin de la poltica de poblacin. Comprende los insumos necesarios para entender la importancia de los distintos componentes de la dinmica demogrfica, desde su definicin hasta la manera de integrar su aplicacin en las distintas polticas pblicas a nivel municipal, estatal y nacional. Los datos presentados permiten responder, entre otras, las siguientes preguntas: cuntas personas habitan el lugar donde vives, cuntas sern en 5 o 10 aos, cul es la proporcin de hombres y de mujeres, cuntos aos viven las personas, cuntos nuevos nacimientos se registran, etc. 4) Seccin de datos interactivos (GIFs, Videos). Consiste en una serie de carteles sobre indicadores demogrficos con oraciones sintticas, grficas dinmicas de la evolucin de la poblacin a travs del tiempo y mapas interactivos a fin de facilitar que los tomadores de decisiones dentro del sector gubernamental consulten e integren los fenmenos demogrficos actuales y prospectivos en la planeacin de polticas y programas de desarrollo a nivel nacional o por entidad federativa. / Household surveys on violence against women (VAW) have been instrumental in shedding light on the hidden crisis of gender-based violence, breaking through stigma and silence. This special exhibit, From Numbers to Change: Using VAW Data to End Gender-Based Violence, will showcase practical examples of how governments and civil society organizations (CSOs) are working in partnership to use VAW survey data to drive concrete change. Focus The exhibit will showcase how data collection, analysis, and dissemination is informing policy, interventions, and advocacy efforts and responding to emerging data needs. Stories from across the Asia-Pacific region will demonstrate how cooperation between governments, civil society organizations (CSOs), and communities strengthens VAW measurement, data interpretation and data uptake for action and change. Scope Examples will be showcased from countries with recent dedicated surveys on violence against women that use the World Health Organization methodology. The exhibit will include case studies presented through posters and videos, bringing the voices of policymakers, statisticians and gender practitioners from the national statistical systems of five countries in Asia and the Pacific. Household surveys are the only way to produce statistics needed to report on SDG Target 5.2 on the prevalence of intimate partner violence and sexual violence by others. Such surveys require close attention to safety and ethical protocols throughout the statistical production process, and an emphasis on data uptake once the results are available. This exhibit will focus on what happens with the data and statistics once the results are out. In particular, how VAW data are influencing change and supporting efforts to end violence against women. Outputs The exhibit will provide an inspiring space for UN World Data Forum participants to consider the impact official statistics have at a local level. There will be handouts about the case studies presented. Information will be available about UNFPAs kNOwVAWdata initiative in Asia and the Pacific, which is supporting local actors to build capacity to produce and use data on gender-based violence against women.

Juan Carlos Palacios Mora
Crece sin Desnutricion Infantil

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Juan Carlos Palacios Mora

Andres Alfredo Carrasco Zapata
Crece sin Desnutricion Infantil

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Andres Alfredo Carrasco Zapata

Sebastian Ruiz
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Sebastian Ruiz

Jesus Pacheco
United Nations Development Programme (UNDP)

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Jesus Pacheco

Luis Felipe Jimenez
Consejo Nacional de Poblacion (CONAPO)

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Luis Felipe Jimenez

Romesh Silva
United Nations Population Fund (UNFPA)

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Romesh Silva

Romesh Silva, Ph.D. is a demographer. He leads technical work on population data systems in humanitarian settings, as well as the strengthening of civil registration and vital statistics systems at the United Nations Population Fund. He previously served on the faculty of the Department of International Health at the Bloomberg School of Public Health, Johns Hopkins University.Romesh chairs the IUSSP Scientific Panel on Population Perspectives and Demographic Methods to Strengthen Civil Registration and Vital Statistics (CRVS) Systems, serves on the steering committee of the National Academy of Science's Expert Panel on the Demography of Forced Migration, is the guest editor for a Genus Thematic Series on CRVS and serves on the editorial board of the journal Conflict & Health.Romesh has served on the National Academy of Science’s expert panel on Darfur to review mortality estimates on Darfur, Sudan, the American Statistical Association's Committee on Scientific Freedom and Human Rights, and the IUSSP's Scientific Panel on Strengthening Civil Registration and Vital Statistics Systems. Romesh holds a Ph.D. in Demography from the University of California, Berkeley, a M.A. in International Affairs from Columbia University in New York, and a M.A. in Demography from the University of California, Berkeley, and B.A. (Hons, Class 1) in Statistics and a B.A. in German Studies from the University of New South Wales in Sydney, Australia.

Organiser(s): Instituto de Investigacin de Ciencias Estadsticas, Oficina Nacional de Estadsticas (NBS-China) / Oficina Nacional de Estadstica (ONE-Repblica Dominicana) / Gallup, Inc.; Fundacin Lloyd's Register; Organizacin Internacional del Trabajo (OIT)

The Hangzhou Declaration released at the 4th World Data Forum in 2023 stated that high-quality, timely, open, and inclusive data remains a key component of achieving sustainable development goals and addressing multiple crises in order to better implement the 2030 Agenda for Sustainable Development. As one of the three major census projects in China, the economic census provides a solid data foundation for comprehensively grasping the development scale, layout, and benefits of the secondary and tertiary industries. The economic census mainly obtains overall information through all individuals, but from the characteristics of the census objects and the evaluation of the quality of census data, sampling surveys are indispensable in China's economic census practice and still play a key role. On the one hand, due to the small economic size and frequent changes in production and operation of individual businesses, it is determined that only by using sampling techniques can we obtain more efficient and accurate census data related to individual businesses. On the other hand, after the registration of the census is completed, the main international practice is to conduct quality evaluation of the census through Post Enumeration Survey. After five practical explorations of economic censuses in China, the application of sampling technology in China's economic census has achieved rich practical and theoretical results. In recent years, with the application of big data and modern information technology, it has had a significant impact on the division of census areas, inventory of census units, and methods of census registration. At the same time, it will continue to promote the transformation of sampling technology in economic censuses. This topic is based on a review of the application and development of sampling techniques in previous economic censuses of China, analyzing and researching how to efficiently use sampling techniques to improve the quality of economic census data, enhance the accessibility of economic census data, and promote the monitoring of China's sustainable development process. / Esta ponencia tiene como objetivo compartir la experiencia de la ONE de Repblica Dominicana en la generacin de estadsticas empresariales con enfoque inclusivo, a partir de los registros administrativos y las encuestas de carcter empresarial. Adems, de compartir de forma general el manual de estadsticas empresariales con enfoque de gnero. Otros de los aspectos a abordar es la experiencia en la medicin de estadsticas de genero y edad de la mxima autoridad de las empresas, adicional, a los datos de empleo, a partir de las encuestas de actividad econmica. / Violence and harassment at work causes harm to individuals, families, businesses and societies. It affects peoples lives, dignity, health and wellbeing. It also exacerbates inequality in societies and undermines business productivity. There should be no place for and no tolerance of violence and harassment at work anywhere. The ILO-Lloyds Register Foundation-Gallup survey is the first global exploratory exercise to measure peoples own experiences of violence and harassment at work across the world. The survey data, based on nationally representative data from 121 countries, sheds light on the magnitude and frequency of violence and harassment at work, providing insights into its main forms (that is, physical, psychological and sexual) and on the main barriers that prevent people from talking about it. This survey confirms that violence and harassment is a widespread phenomenon around the world, with more than one in five persons in employment having experienced violence and harassment at work during their working life. By shedding light on this concerning trend, it empowers decision-makers to direct resources at those most vulnerable of workplace exploitation and impose better labour stands. The data has enabled decision-makers to make calls for the adoption of an inclusive, integrated and gender-responsive approach with measures including prevention and protection, enforcement and remedies, and training and awareness-raising with social partners playing an essential role in the process. The data has paved the way for further in-depth research and analysis and calls for action to ensure a world of work free from violence and harassment for all in line with the ILO Violence and Harassment Convention (No. 190) and Recommendation (No. 206). These conventions are the first international labour standards to provide a common framework to prevent, remedy and eliminate violence and harassment in the world of work, including gender-based violence and harassment. Successful and effective strategies and measures to prevent and remedy violence and harassment at work require the involvement of all levels of government, employers and workers and their respective organizations, as well as society in general and relevant international actors. Strong political will and concerted efforts are crucial to ensuring a world of work free from violence and harassment for all. The first step in all these efforts is to provide an accurate measure of the problem the ILO-Lloyds Register Foundation-Gallup survey has achieved this and created the foundations for greater societal efforts towards tackling the issue of workplace violence and harassment.

Perla Rosario Fabin
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Perla Rosario Fabin

Preslav Tonkov
Gallup, Inc.

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Preslav Tonkov

Ran Tao
Research Institute of Statistical Sciences, National Bureau of Statistics (NBS-China)

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Ran Tao

Ed Morrow
Lloyd’s Register Foundation

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Ed Morrow

Organiser(s): Humanitarian OpenStreetMap (HOTOSM); Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Centro de Estudios con Poblaciones, Movilizaciones y Territorio; Crisis Ready; Alianza Global para los Datos del Desarrollo Sostenible (GPSDD); Oficina de Coordinacin de Asuntos Humanitarios de las Naciones Unidas (OCHA)

Abarcar y visibilizar la complejidad de la realidad geogrfica y social demanda la integracin comunitaria y la utilizacin de mapas actualizados, de bajo costo, para poder guiar y monitorear el crecimiento y desarrollo sostenible, as como la gestin de emergencias de los pases. Se presentarn experiencias de capacitacin, fomento y fortalecimiento del universo cartogrfico no-tradicional para el anlisis, monitoreo, y planeacin prospectiva demanda la medicin y aplicacin de los ODS, y cualquier reto local de planeacin del territorio. Se dialogar sobre datos cartogrficos alternativos, colaborativos y tecnologas abiertas culturalmente pertinentes, la importancia de atender necesidades locales y su soporte a la respuesta nacional para el monitoreo y desarrollo de la Agenda 2030. Se enfocar en brechas de cartografa nacional, produccin de estadsticas nacionales y toma de decisin; y su fortalecimiento con procesos colaborativos. Especficamente se presentarn iniciativas regionales de LAC. El proyecto POMOTE en Medelln, gener incidencia poltica en la planificacin poltico-institucional capacitando a comunidades y organizaciones sociales de laderas vulnerables al cambio climtico con el uso de nuevas tecnologas y visibilizando las realidades de los territorios de las periferias. La ONE de Rep Dom inici un proyecto piloto de mapeo sobre la problemtica del sargazo con mltiples actores gubernamentales, privados y de la sociedad civil con el fin de crear una iniciativa regional del Caribe. El DANE ha potenciado el clculo de Indicadores ODS, como el 11.7.1, cruzando datos abiertos y oficiales; y ha actualizado marcos censales y cartografa de operaciones estadsticas junto con comunidades tnicas. Crisis Ready gener mapas, en base a informacin de Meta, durante diversas crisis para analizar cmo se mueve la poblacin y a donde hay que mandar recursos (proyecto ReadyMapper). GPSDD aportar una reflexin general sobre la Gobernanza Digital, la Agenda 2030 y abrir un dilogo conjunto entre los mapeadores activistas, los centros de estadstica, y org. no gubernamentales. Resultados esperados: Mostrar como datos cartogrficos alternativos y colaborativos puede ser una novedosa fuente de datos, fortaleciendo los registros espaciales y aportando a los vacos estadsticos nacionales a travs de campaas de mapeo colaborativo y captacin de datos abiertos, en temticas sociales, econmicas y ambientales no indagadas. Mostrar las capacidades de los oradores e intermediar dilogos metodolgicos, tanto para mejorar la respuesta a sus necesidades, como para monitorear y aplicar los ODS, garantizando que nadie ni nada quede fuera del mapa. Generar un dilogo y anlisis en materia de gobernanza sobre la utilizacin de fuentes no tradicionales en el uso de datos geoespaciales para mejorar la comprensin del territorio y la incidencia. Iniciar un grupo de trabajo con pases interesados, IGNs, INEs, org. comunitarias, e instituciones operativas.

Celine Jacquin
Humanitarian OpenStreetMap (HOTOSM)

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Celine Jacquin

Fredy Rodriguez
Global Partnership for Sustainable Development Data (GPSDD)

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Fredy Rodriguez

Javier Teran
United Nations Office for the Coordination of Humanitarian Affairs (OCHA)

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Javier Teran

Paola Rodriguez
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Paola Rodriguez

Leonardo Jimenez
Centro de Estudios con Poblaciones, Movilizaciones y Territorio (POMOTE)

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Leonardo Jimenez

Andrew Schroeder
Crisis Ready, and Direct Relief

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Andrew Schroeder

Elkin Ernesto Ramirez Nino
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Elkin Ernesto Ramirez Nino

Organiser(s): Instituto Ruff de Global Homelessness (IGH), Universidad DePaul; Instituto Nacional de Estadstica (INE-Uruguay); Google

This session will illuminate the transformative power of data when used in collaborative efforts to advance social inclusion, addressing systemic inequalities, and upholding human rights. We will discuss the right to housing and a formal address, by featuring the work of the Uruguayan National Statistical Institute and Google to use open location codes to create alphanumeric addresses; and the work the Institute of Global Homelessness, Uruguayan Ministry of Social Development, and University of Pretoria to enumerate homelessness. A formal address is a fundamental human right, essential for accessing vital services, economic opportunities, and civic participation. Yet, millions around the world live in areas without recognized addresses. This barrier to inclusion can be overcome through innovative partnerships. One such collaboration involves the National Statistical Institute and the Spatial Data Infrastructure of Uruguay and Google in their groundbreaking use of Open Location Codes (OLCs), also known as Google Plus Codes. These free, open-source codes transform latitude and longitude coordinates into simple, user-friendly alphanumeric addresses, giving a voice and presence to previously unmapped communities. This government-led initiative in Uruguay to use Plus Codes within a national address system will unlock the doors for the standardization of addresses among public-private sectors and will help reduce the gap between people with/without addresses as well as reinforcing digital inclusion of all citizens. In Brazil, for instance, last mile logistics companies are unlocking deliveries in favelas by adopting Plus Codes, while governments are approving bills to make latitude/longitude based addresses recognized as official. The adoption of Plus Codes by governments and private entities has the potential to improve the quality and precision of data used in several information systems, bringing inclusion and dignity for communities across the world. In the second part of the session, we will discuss the strategies to collect more inclusive and accurate data on homelessness. This session will provide an overview of enumeration practices for homelessness including developing methodologies, participatory data collection, and data-informed strategies to reduce homelessness. We will also feature a deep dive from one country, Uruguay, and one metropolitan area, Pretoria, South Africa on their homelessness enumeration practices including creating inclusive surveys, using technology as part of data collection and analysis, and partnering with other agencies to integrate homeless enumeration into administrative data. We will also discuss partnerships within and between national, regional, and international stakeholders, improving data dissemination, analyzing outcomes, and collaborating with people with lived experience and service providers in order to have more accurate data and effective programs.

Federico Segui
Instituto Nacional de Estadistica (INE-Uruguay)

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Federico Segui

Jose Antonio Mejia
Inter-American Development Bank (IDB)

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Jose Antonio Mejia

Stephan de Beer
University of Pretoria

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Stephan de Beer

Antonio Manzi
Ministerio de Desarrollo Social de Uruguay (MIDES)

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Antonio Manzi

Julia Wagner
Ruff Institute of Global Homelessness (IGH), DePaul University

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Julia Wagner

Santiago Hincapie Potes
Google

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Santiago Hincapie Potes

Organiser(s): Instituto de Ciencias del Mar; Humanitarian OpenStreetMap (HOTOSM); Instituto Internacional para el Anlisis de Sistemas Aplicados (IIASA); Red Iberoamericana de Ciencia Participativa (RICAP); Programa de las Naciones Unidas para los Asentamientos Humanos (ONU-Hbitat); Alianza Global de Ciencia Ciudadana (CSGP)

Citizen science, public participation in scientific research and knowledge production, is essential in the pursuit of the SDGs due to its capacity to bridge gaps left by conventional data sources and to make the SDG processes truly inclusive. Despite its expanding presence in areas like health, biodiversity and environmental monitoring, its incorporation into multilateral agreements and policy frameworks, both nationally and internationally, is not yet realized. Citizen science often surfaces as a suggested approach in policy narratives, but there is a disconnect in this science-policy interface. This session, featuring representatives from citizen science networks, initiatives, National Statistical Systems and the UN agencies, aims to dissect and address these complexities, focusing on both grassroots-level initiatives, as well as broader scientific projects. The session will showcase examples from various SDGs, including SDG 11 and health and well-being related SDGs, with particular focus on geospatial data, data infrastructures, scalability and policy impact in citizen science. The session will explore concrete examples, along with opportunities and challenges of citizen science both as a method and a way to empower individuals and communities. It will also present opposing views on the uptake of this approach and its resulting data. Starting with a short panel discussion and brief lightning talks, the session will facilitate an interactive format, where participants will actively engage in the discussion regarding the readiness of the official statistics community to embrace citizen science approaches and enhance the inclusivity and relevance of SDG data ecosystems to society. The results will be shared with the Citizen Data Collaborative led by the UN Statistics Division and partners as input to its conceptual framework. The outcome will be a better-informed audience regarding the opportunities and challenges of citizen science for SDGs monitoring and action involving diverse stakeholders with different views to build effective partnerships in realizing the full potential of citizen science and its impact.

Julieth Solano
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Julieth Solano

Dilek Fraisl
International Institute for Applied Systems Analysis (IIASA)/Citizen Science Global Partnership (CSGP)

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Dilek Fraisl

Austin Mast
Florida State University

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Austin Mast

Steve MacFeely
Organisation for Economic Co-operation and Development (OECD)

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Steve MacFeely

Dennis Mwendwa Mwaniki
United Nations Human Settlements Programme (UN-Habitat)

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Dennis Mwendwa Mwaniki

Fabrizio Scrollini
Humanitarian OpenStreetMap (HOTOSM)

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Fabrizio Scrollini

Organiser(s): Fundacin Flowminder

In many low- and middle-income countries, governments and local health actors are facing difficulties in reaching and serving their target populations for immunisation purposes, due to inaccurate, outdated, or non-existent population data; geographic inaccessibility; or reliance on hand-drawn maps, among other things. This has led to greater uncertainty for vaccination teams on the ground as well as geographic disparities in immunisation coverage within these countries. Some of those challenges can be partly solved through the integration of high-resolution geo-referenced population and health facility data into microplanning. To reduce the number of missed children, supporting countries in the use of geospatial data and technologies to improve planning and monitoring for equitable provision of immunisation services is therefore of critical importance. In the Horn of Africa, the REACH consortium is using geospatial data and technologies, alongside stakeholder engagement, supply-chain management and many other activities, to help deliver immunisation services to zero-dose children (ZDC) in target areas in Ethiopia, Somalia, South Sudan, and Sudan. In the geospatial data sphere, partners are working to produce geospatial support documents and maps to microplans, featuring improved population estimates and suggested new health facility sites, while engaging with relevant actors to digitise the overall process. While hand-drawn sketched maps benefit from local knowledge, highlighting features important to local teams, they lack geographic precision and cannot be easily used to produce different maps or be updated with new data. Printed maps based on digital spatial data address these issues, are visually consistent, and contain coordinate information for easier navigation on the ground (e.g information on distance). However, these maps can be perceived as too technical by some end-users, and the differences between the two types of maps can lead to difficulty in comparing the data and validating the digitised outputs, slowing down local uptake. For this World Data Forum edition, Flowminder as REACH geospatial lead partner is proposing to run an interactive user workshop on microplan data integration. The aim is to identify the best routes and methods for feeding geospatial data into the WHO microplan template, to ensure that when used, the data are accurate, more easily understood, and user-friendly. Additionally, it aims to show how Flowminder's service site placement optimisation innovation can enhance microplanning activities. The workshop will enable the REACH partners to draw on user's perspectives, expertise, and experience to evaluate the best data integration scenarios which can then be tested as part of the REACH project, while enabling the World Data Forum to benefit from these learnings.

Alistair Steward
Flowminder Foundation

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Alistair Steward

Alistair Steward as a Spatial Data Analyst & Data Use Adviser, Alistair draws insight from spatial data and works with end users to help them take action based on these analyses. He specialises in the optimal placement of services, helping to solve problems such as location of new facilities to meet the needs of the greatest number of people. Alistair joined Flowminder after retraining in GIS through the GIMA MSc course at Utrecht University and an internship at the International Peace Information Service in Antwerp. Prior to this, he spent five years working in media analysis and numerous summers driving tractors for the harvest season on various arable farms.He joined Flowminder to continue advancing his GIS knowledge in an organisation that is forward-thinking and actively improving the world.

Cathy Riley
Flowminder Foundation

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Cathy Riley

Organiser(s): Banco Mundial; Centro Conjunto de Datos sobre Desplazamiento Forzado del Alto Comisionado de las Naciones Unidas para los Refugiados (ACNUR); Iniciativas IMPACT; Instituto Estatal de Transparencia, Acceso a la Informacin y Proteccin de Datos Personales (INFONL)

The availability of relevant, timely and usable data is essential for actors, such as governments or public institutions or local and global institutions, to set priorities, make informed decisions and implement better policies. Fostering collaboration between entities and providing opportunities for technical exchange is vital to facilitate and improve responsible data dissemination. Such cross-organizational collaboration ensures that data is well-documented and appropriate privacy protections are in place and can improve the understanding of data and its impact. The speakers in this session will present diverse cases of successful partnerships between organizations to illustrate how data can have a positive impact on society and help build more equitable data ecosystems towards fulfillment of the SDGs.

Mario Fidalgo Da Silva
IMPACT Initiatives

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Mario Fidalgo Da Silva

Francisco Reynaldo Guajardo Martinez
Instituto Estatal de Transparencia, Acceso a la Informacion y Proteccion de Datos Personales (INFONL)

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Francisco Reynaldo Guajardo Martinez

Paddy Brock
World Bank (WB)

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Paddy Brock

Organiser(s): Por Confirmar

Organiser(s): Programa de las Naciones Unidas para el Desarrollo (PNUD); Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Fundacin Bavaria; Ministerio de Industria y Comercio, Colombia

The main description of the content revolves around leveraging the Data Driven Business (DDB) methodology, developed by the UNDP, to drive digital transformation within retail stores. This transformation involves gathering valuable insights from stores through innovative means such as drones and bird data, emphasizing the initiative's commitment to embracing cutting-edge technology for operational enhancement. The primary objective is to empower the private sector, particularly in the traditional retail sector, to harness the vast amount of data generated within their stores. By adopting DDB, businesses can automate inventory management processes, obtain real-time sales data, and analyze consumer behavior patterns. This data-driven approach enables businesses to make informed decisions, optimize their operations, and enhance their competitive edge. One of the key aspects highlighted is the utilization of drones for data gathering purposes. Drones offer a unique vantage point for capturing visual data of store layouts, foot traffic patterns, and inventory management practices. This innovative approach not only streamlines data collection processes but also provides comprehensive insights into store operations that were previously inaccessible. Additionally, the incorporation of bird data adds another dimension to the data collection process. By leveraging bird data, businesses can gain insights into environmental factors that may impact store performance, such as weather patterns, seasonal changes, and geographical influences. This holistic approach to data gathering ensures that businesses have a comprehensive understanding of the various factors influencing their operations. Furthermore, the emphasis on digital transformation underscores the initiative's commitment to embracing technology as a catalyst for growth and innovation. By integrating advanced data analytics tools, cloud-based platforms, and IoT devices, businesses can unlock new opportunities for efficiency, productivity, and revenue generation. In summary, the content highlights the transformative power of the DDB methodology in driving digital transformation within retail stores. By embracing innovative technologies such as drones and bird data, businesses can unlock valuable insights, optimize their operations, and stay ahead in today's competitive marketplace.

Lea Smidt
Government of Germany

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Lea Smidt

Santiago Plata
United Nations Development Programme (UNDP)

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Santiago Plata

Gustavo Morales
Fasecolda

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Gustavo Morales

Casey Kearney
School of Public Policy, London School of Economics (LSE)

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Casey Kearney

Juan Carlos Munoz
Universidad Eafit

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Juan Carlos Munoz

Paola Arias
Banca de las Oportunidades Colombia

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Paola Arias

Maria Elvira Tamayo
National Advisory Board for Impact Investment

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Maria Elvira Tamayo

Gabriel Santos
Colombian Fintech

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Gabriel Santos

Omar Ali
Direction de la statistique et des etudes demographiques (DISED-Djibouti)

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Omar Ali

Organiser(s): Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); Universidad EAFIT; Agencia Espacial Europea (ESA); Universidad de Twente

Context Urbanization rates in Low- and Middle-Income Countries (LMICs) show unprecedented growth. In the context of the current housing crisis, with around 1.1 billion people living in informal settlements or slums and an estimated increase of 2 billion, urgent action is required. This urgency is stressed by SDG 11, which focuses on the sustainable development of cities and communities and the prioritization of housing during the UN-Habitat Assembly (2023). Action on housing and, in particular, SDG 11.1 require efficient monitoring instruments that include the mapping of spatial inequalities. National to city-level statistics are often lacking behind rapid development dynamics. Official data are often unable to provide quality data that are openly available on spatial inequalities (e.g., combining environmental and housing conditions). For example, the average LMIC census is estimated to omit half of residents in slums and informal settlements, though this varies widely, with some censuses omitting nearly all. The session will build on the IDEAtlas project, in which informal settlements are being mapped in a dozen urban areas around the world, including in Medellin, Colombia. Emerging and alternative data sources (e.g., Geospatial, Earth Observation and Citizen Generated data), combined with official statistics, offer invaluable opportunities for measuring the problem and guiding actions. By its very nature, mapping informal settlements implies measuring SDGs at the local (city) level. With increased access to computing power and the wide availability of open, fine-scale spatial data from satellite imagery, crowd-sourcing, governments, and communities, the time is ripe for adding measures of spatial inequalities to official statistics. However, besides the development of technical approaches, questions of ethics (e.g., 'do no harm' principle) and building trust with stakeholders are critical. Scope In this session, panelists will share their perspectives about the importance and innovations of measures of spatial inequalities with a focus on housing and environmental deprivation (linking to climate adaptation), and how maps can shape the policy discourse. We will share recent experiences in several cities (e.g., Medellin, Buenos Aires, Mexico). The session brings together experts on housing policies, statistical experts, city governments, data scientists, and NGOs to reflect on the opportunities and challenges of combining data into Open and Inclusive Data Ecosystems. Objectives The main objective of the session is to exchange knowledge on recent developments in combining Earth Observation and Citizen Generated Data with official statistics (e.g., census) in support of the monitoring of housing and environmental conditions while considering open data access and ethical questions of not exposing vulnerable groups. This will be combined with reflections on quality assurance and properly communicating the results to maintain public trust.

Monika Kuffer
University of Twente

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Monika Kuffer

Sandra Milena Guinguer Pineda
Metro of Medellin

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Sandra Milena Guinguer Pineda

Ronald Jansen
United Nations Statistics Division (UNSD-DESA)

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Ronald Jansen

Romesh Silva, Ph.D. is a demographer. He leads technical work on population data systems in humanitarian settings, as well as the strengthening of civil registration and vital statistics systems at the United Nations Population Fund. He previously served on the faculty of the Department of International Health at the Bloomberg School of Public Health, Johns Hopkins University.Romesh chairs the IUSSP Scientific Panel on Population Perspectives and Demographic Methods to Strengthen Civil Registration and Vital Statistics (CRVS) Systems, serves on the steering committee of the National Academy of Science's Expert Panel on the Demography of Forced Migration, is the guest editor for a Genus Thematic Series on CRVS and serves on the editorial board of the journal Conflict & Health.Romesh has served on the National Academy of Science’s expert panel on Darfur to review mortality estimates on Darfur, Sudan, the American Statistical Association's Committee on Scientific Freedom and Human Rights, and the IUSSP's Scientific Panel on Strengthening Civil Registration and Vital Statistics Systems. Romesh holds a Ph.D. in Demography from the University of California, Berkeley, a M.A. in International Affairs from Columbia University in New York, and a M.A. in Demography from the University of California, Berkeley, and B.A. (Hons, Class 1) in Statistics and a B.A. in German Studies from the University of New South Wales in Sydney, Australia.

Andrea Ramirez Santiago
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)

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Andrea Ramirez Santiago

Andrea Ramírez Santiago has a degree in Geography from the National Autonomous University of Mexico (UNAM). Currently working as a senior advisor of the governing board at National Institute of Statistics and Geography of Mexico (INEGI) and deputy director of geographical and environmental information assessment. Most of her 8 years of career in the Mexican federal government he has been exploring new methodologies based on geospatial technologies (including Earth Observation) and machine learning to advance the integration and interoperability of geographic and statistical information. Her main responsibility has been formulating strategies to activate the data through processes that facilitate their collection, storage, interoperability, visualization, and analysis, for a public benefit. Her interests focus on exploring the potential of geospatial technologies, and machine learning, for data collection, integration, interoperability, and analysis; test new methodologies with a geospatial approach to generate useful information for decision making; and design strategies for visualization and communication of information products, to activate the growing number of geospatial data.

Juan Guillermo Gil Garcia
Alcaldia de Pereira

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Juan Guillermo Gil Garcia

Juan Manuel D'Attoli
Registro Nacional de Barrios Populares (RENABAP)

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Juan Manuel D'Attoli

Juan Pablo Ospina Zapata
Universidad Eafit

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Juan Pablo Ospina Zapata

Organiser(s): Entidad de las Naciones Unidas para la Igualdad de Gnero y el Empoderamiento de la Mujer (ONU Mujeres); Alianza en Estadsticas para el Desarrollo en el Siglo XXI (PARIS21); Banco Mundial (BM); Open Data Watch (ODW)

Within the international data community, multiple mechanisms exist for measuring national statistical capacity and, more recently, gender data capacity, such as UN Women and PARIS21's Gender Data Outlook (forthcoming), Open Data Watch's Gender Data Compass, UNSD's Global Survey on National Gender Statistics Programmes and the World Bank's work on Gender Statistical Performance Indicators. The true value of these measures lies not only in their ability to document progress towards equitable and inclusive data ecosystems, but also to inform efforts to strengthen these at national, regional, and international level. Today, opportunities exist to further leverage the value of gender data capacity and use measures and to amplify their impact through meaningful partnerships and collaboration. First, it is crucial that the different capacity measures do not exist in siloes but work together to provide a more coherent picture of gender data capacity and its impact. Second, country stakeholders and development partners must be made aware of the results of these measures and understand how to apply them to inform meaningful change. Finally, those developing measures must engage with prospective users to ensure the measures are compiled and disseminated in the most useful way. This session aims to respond to these opportunities, bringing together a range of stakeholders to explore how the results of gender data measures can help address national development priorities and work towards more equitable gender data ecosystems. The session will open with a presentation of several existing measures of gender data capacity and use, their complementarity, and unique values. Within this presentation, space will be given to two country voices to demonstrate how they use measures of gender data capacity and use. Participants will then be split into small groups for an interactive problem-solving game. Each group will be given a fictional country score card, including a country context brief, one successful local use case, and the country scores across a selection of gender data capacity indicators. In discussion with the group, participants will be asked to propose targeted, prioritised recommendations to address the challenges highlighted through the score card. Recommendations should target actors such as NSOs, National Gender Machinery, Development Partners, and Gender equality advocates. During the breakout groups, session leads will observe how participants are approaching the use of measurement results and potential challenges to their application. This will be used as feedback for strengthening measures and their dissemination in the future. The objectives of this session are to; 1; promote dialogue among different gender data capacity measures 2; support countries and international organisations in leveraging measurement results; and 3; collect feedback from potential users of these measures to improve their formulation and dissemination in the future.

Sophie Kenneally
Partnership in Statistics for Development in the 21st Century (PARIS21)

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Sophie Kenneally

Papa Alioune Seck
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)

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Papa Alioune Seck

Jessamyn Encarnacion
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)

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Jessamyn Encarnacion

Shaida Badiee
Open Data Watch (ODW)

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Shaida Badiee

Organiser(s): Open Data Institute (ODI); IT for Change; PIT Policy Lab; Pollicy; Open Cities Lab

From discussions with relevant researchers and stakeholders, we've identified a shift away from openness among numerous public, private, and third-sector entities worldwide. This shift has led to limited access to previously shared, public, or open data. In 2023, social media platforms such as X and Reddit restricted access to researchers, leaving them in the dark. These developments were seen as putting in jeopardy research into the spread of harmful content, mis- and disinformation, news consumption, public health, elections, the impact of Covid-19 on teacher resignation and mental health, to name a few. This trend is not exclusive to social media; it extends to other platforms such as mobility services, search engines, and more. Recognising the potential benefits of fostering collaboration between researchers and digital platforms is essential for addressing challenges across diverse sectors. This proposed session would gather civil society organisations from across the globe to explore how different countries and regions across the world are working to enable access to data currently siloed within platforms that public-interest researchers could use to address pressing global challenges. Using the forthcoming Digital Services Act in the European Union as a starting point, participants will work to identify shared challenges and disseminate best practices, while also seeking to understand each region's specific challenges and requirements. Given the potential changes in regulation and data access mandates in the coming years, this session aims to help public-interest researchers and policymakers to understand existing avenues for accessing specific platform data. Participants will delve into insightfu case studies from across sectors and regions, highlighting crucial factors for fostering collaboration between researchers and digital platforms for public interest. Our primary objective will be to tackle this complex issue by examining and discussing the following salient case studies in the space: - A prototype Open Data Anti-corruption Index for Mexico - A living database of femicide cases in Kenya/The impact of the changes in X observed regarding civic discourse and information access around elections and voting - The Africa Data Governance Hub - A Southern Perspective on Workers' Data on Digital Labour Platforms These case studies will be used as examples of important issues that will then be discussed by the attendees. They are meant to highlight important trends or issues so that the attendees can discuss those trends together and bring their regional views to the discussion.

Lucia Trochez Ardila
PIT Policy Lab

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Lucia Trochez Ardila

Richard Gevers
Open Cities Lab

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Richard Gevers

Organiser(s): Banco Mundial (BM); Universidad Tulane; Data2X; Open Data Watch (ODW); Entidad de las Naciones Unidas para la Igualdad de Gnero y el Empoderamiento de la Mujer (ONU Mujeres); Servicio Estadstico de Ghana (GSS); Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Comisin Econmica para Amrica Latina y el Caribe de las Naciones Unidas (UNECLAC / CEPAL); Departamento Administrativo Nacional de Estadstica (DANE-Colombia)

Gender data are key to understanding gender disparities, promoting evidence-based policymaking, monitoring progress toward gender equality goals, and creating a more inclusive and equitable society at large. Yet substantial gaps persist in gender data availability: only 42 percent of the data needed to monitor gender-specific SDG indicators are available globally, and more than 75 percent of these data are over a decade old (Seck et al 2023). To achieve the 2030 agenda, a strong response is needed to build country capacity to not only collect more and better gender data, but also to ensure that it is publicly available and effectively used to make a positive impact on human lives. This session will feature promising solutions and innovative strategies to support countries in their quests to bring quality gender data to decision and policy makers to ensure use and advance gender equality and empowerment at local to national to global levels. It will also demonstrate strategies to support an enabling environment to extract value from gender data, including creation of open access data and data visualization tools and engagement of media for data dissemination. Representatives of national statistical offices will share their experiences of incorporating innovative tools and strategies to improve availability and utilization of gender data. The partnership will use this session to: Showcase challenges and opportunities that national statistics offices face in their efforts to promote the availability and use of gender data. Highlight the importance of collecting more granular and more frequent time-use data. Share modern solutions and methods to improve efficiency and data quality for monitoring the 2030 Agenda for Sustainable Development, especially indicator 5.4.1. Demonstrate the impact of innovative initiatives, such as the World Banks Strengthening Gender Statistics (SGS), Living Standards Measurement Study Plus (LSMS+) and the Women, Business and the Law (WBL) projects, as well as EMERGEs research initiatives in working with NSOs and civil society organizations to increase the availability and quality of gender data. Feature new platforms such as the World Banks Gender Data Portal and Open Data Watchs Gender Data Compass that demonstrate the availability and openness of international and national gender data. Spotlight gender data experts from the Gender Data Network to demonstrate the power of networking to improve the production, communication, and utilization of gender data. Feature best practices on how gender data has/can be used to drive impact on the ground, as featured in UN Womens and PARIS21s report, the Gender Data Outlook (forthcoming).

Krista Jones Baptista
Data2X

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Krista Jones Baptista

Jessamyn Encarnacion
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)

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Jessamyn Encarnacion

Shaida Badiee
Open Data Watch (ODW)

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Shaida Badiee

Divyanshi Wadhwa
World Bank (WB)

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Divyanshi Wadhwa

Lehlohonolo Takalimane
Statistics Sierra Leone

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Lehlohonolo Takalimane

Albert Motivans
Equal Measures 2030

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Albert Motivans

Organiser(s): Alto Comisionado de las Naciones Unidas para los Refugiados (ACNUR); Fondo de las Naciones Unidas para la Infancia (UNICEF); Programa Mundial de Alimentos de las Naciones Unidas (WFP)

With the objective of generating evidence on mixed movements dynamics in the Americas, the United Nations High Commissioner for Refugees (UNHCR), United Nations Childrens Fund (UNICEF) and the World Food Programme (WFP) embarked in 2023 on a monitoring initiative enabling agencies to better understand trends, profiles, protection, childs rights and food security needs of people on the move. The mechanism aims to characterize the migration flow and facilitate forward-looking analysis of trends, will also provide timely information to migrants and refugees on offers of humanitarian services, migration regulations, risks, and protection issues, among others. This will be implemented through a digital mechanism, which also serves to hear the voices of migrants and refugees. The session would consist in presenting the work that has been done together by the three agencies. As part of this monitoring efforts since 2023 more than 20,000 surveys have been completed in Guatemala, Mexico, Costa Rica, Honduras and Panama. Furthermore the session will explain how in 2024 the Mixed Movement Monitoring (MMM) will expand its geographical scope to other countries from South America. Collected data will generate high-frequency and real-time information, which can anticipate changes in migratory dynamics that require a rapid response. An innovation in the methodology is the component that uses a chatbot deployed in WhatsApp, to communicate and connect with migrants so that they have access to a set of questions about their needs while they are in transit, as well as timely information associated with their route. The agencies will showcase the progress made in analyzing data pertaining to the cross-fertilization between indicators within their respective mandates, highlighting the interconnectedness and complexity inherent in these relationships. Access to this data facilitates better planning, implementation, and monitoring of the response for refugees and migrants as it ensures that the response plans are informed by the humanitarian situation and human mobility trends of affected populations, particularly as relates to availability and access to services. During the proposed session the three agencies aim to highlight the efforts behind what it meant creating an enabling environment for the integration of different quantitative and qualitative tools, that have been used in silos by each of them, all to transform the statistical system behind the mixed movement agenda, ensuring is fully inclusive and relevant to advocate for those most vulnerable while guaranteeing their privacy and confidentiality.

Marta Ortiz
United Nations World Food Programme (UNWFP)

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Marta Ortiz

Matheus Soldi
United Nations High Commissioner for Refugees (UNHCR)

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Matheus Soldi

Annette Castillo
United Nations World Food Programme (UNWFP)

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Annette Castillo

Carmen Asenjo Sierra
United Nations High Commissioner for Refugees (UNHCR)

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Carmen Asenjo Sierra

Liliana Carvajal
United Nations Children's Fund (UNICEF)

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Liliana Carvajal

Juan Pablo Terminiello
United Nations High Commissioner for Refugees (UNHCR)

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Juan Pablo Terminiello

Organiser(s): Oficina Nacional de Estadstica (ONE-Repblica Dominicana)

Integration of non-traditional data sources to monitor population displacement in the face of an extreme event and disaster. Emphasizing the use of different data sources in the alert phases. In the planning phase, the use of geospatial data, population statistical data and shelter location records to identify maps of vulnerable areas for displacement. During the event, administrative data is collected on trips to shelters; the information can be complemented with mobile phone data, guaranteeing the obtaining of information on own trips or self-movements. Personnel from the Civil Defense and the Dominican Telecommunications Institute will be invited to be part of the exhibitors. The initiative aims to meet the goals and indicators of SDGs 1.5.1, 11.5.1 and 13.1.1.: Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 inhabitants

Paola Rodriguez
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Paola Rodriguez

Miosotis Rivas Pena
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Miosotis Rivas Pena

Miosotis Rivas has held the position of General Director of the National Statistics Office of the Dominican Republic since August 2020. She has a degree in economics with master's degrees in Economic Policy, Gender and Development and Human Development. She has extensive work experience in the Central American and Caribbean region in matters of regional integration, development and public policies, public equality policies, gender mainstreaming and trade negotiations. She has worked closely in strengthening the Central American Integration System, recently as the Executive Director of the Regional Center for the Promotion of Micro, Small and Medium Enterprises (CENPROMYPE) and previously as the Technical Secretariat for Women of the Council of Ministers of Women of Central America, space from which he promoted the first regional gender equality and equity policy (PRIEG). She was a representative of UN Women in Dominican Republic and has vast experience as a lecturer in different universities. Active member of various feminist and Contemplative Extension spaces.

Crismairy Jimenez
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Crismairy Jimenez

Carlos Paulino
Emergency Operations Center (COE)

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Carlos Paulino

Organiser(s): Alianza en Estadsticas para el Desarrollo en el Siglo XXI (PARIS21)

Evidence-based policy making is needed to ensure that government action is conducive to sustainable and inclusive development. Yet many countries are facing multiple constraints related to the production and use of data and statistics for the design, monitoring and evaluation of public policies. Parliaments are key to promoting and ensuring policies are built on data through their mandates of oversight, accountability and representation. Members of Parliament, with support from their staff, are responsible for approving and overseeing government spending, ensuring public services meet the needs of citizens, and raising the concerns of constituencies to policy makers. To fulfil their mandates, Parliaments need data that is of high quality, granular to the lowest levels, and that reflects the emerging issues of the populations of a country. This session will aim to raise awareness of the specific data needs of parliament and how national statistics systems can improve their data services to be fit-for-policymaking. The session will follow a simulation format where participants will be given a role within parliament and the data ecosystem and will work together on the design of a program. Through the session, participants will understand the opportunities for data use in parliaments, what structures in parliament support evidence-making, and how to better partner with parliaments to increase data use in policymaking. The session will build on PARIS21 experience engaging parliamentary members and staff in data use in Vanuatu, Mongolia, Maldives and The Gambia. Tentative schedule: Welcome and introduction (15): PARIS21 and an invited representative from parliament will welcome participants and introduce the topic and the aim of the session. Participants will be provided with an overview of the task and supporting materials. Participants will then be asked to join a round table. To promote female leadership, each group will be assigned a female lead. Phase 2: Play out (30): Groups will engage in the role play simulation Each group will have 30 minutes to review their role description, data points, and formulate a statement about a program that will be presented to parliament. As each group will have missing data, they will need to send teammates to visit other groups to collect information. Phase 3: Reflection (10): Participants will be asked to share their insights/views on the exercise and reflect on how this can help them change their practices in the future. Closing remarks (5): An invited representative from parliament will provide takeaway messages from the session.

Johannes Jutting
Partnership in Statistics for Development in the 21st Century (PARIS21)

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Johannes Jutting

Organiser(s): Banco Mundial (BM); Unin Internacional de Telecomunicaciones (UIT); Ministerio de Economa y Transformacin Digital, Espaa; Telefnica; Programa de las Naciones Unidas para el Medio Ambiente (PNUMA); Asociacin Africana de Agua y Saneamiento (AFWASA); Athena Infonomics LLC; Independiente; Instituto Aapti; Robert Bosch Stiftung GmbH

Focus: Data is essential for understanding and addressing systemic inequalities in daily life. Strategic analysis reveals hidden discrimination, identifies marginalized groups, and supports targeted interventions for equity and fairness. Ethical and inclusive data practices are crucial. Promising approaches involve data collaboratives, collective action using innovative technologies, and new financing models. This session will explore ways to foster collaborative data initiatives that harness community power to enhance cross-sectoral cooperation. Through a nexus approach, we will discuss integrating data operations, management, finance, and infrastructure to promote data equity and sustainable development. Examples and experiences will illustrate how technology (DPIs & DPGs), governance and business model approaches (data collaboratives), and innovative financing strategies can effectively utilize data to advance equity, resilience, and sustainability goals. 1. Goal: 1) Governance and operation model: hybrid data governance aimed at achieving equity, efficiency, and sustainability. 2) Technology: Showcase how advancements in real-time monitoring, analytics technology, digital public goods, and DPI investments are enhancing affordability and generating value in resource-constrained environments. 3) Finance model: new financing models such as data co-operatives and multi stakeholder trust funds. 4) Partnership model: PPP models and governance structures that bring together diverse stakeholders from the public sector, private companies, non-profits, and academia to share data, resources, and expertise and break down silos 2. Scope: 1) A Global Program to Put Mobile Phone Data to Work for Policy 2) One Planet Early Warning Platform - Mobilizing geospatial intelligence to keep the world environmental hazards under review 3) Africa Utility Data Collaborative - Advancing cultures and systems of data generation and use by Water Utilities in Africa. 4) Migration Data Infrastructures. 3. Outputs: 1) Actionable Strategy: Develop strategies for effective collaborative data pathways. 2) Operational Framework: Create frameworks for managing and utilizing real-time data and analytics. 3) Empowerment Tool: Identify tools and methods to empower citizens with data and predictive analytics for informed decision-making. 4) Financial Integration: Propose methods to integrate data across sectors and develop innovative financial models for sustainable development collaborations.

Trevor Monroe
World Bank (WB)

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Trevor Monroe

Deepa Karthykeyan
Athena Infonomics LLC

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Deepa Karthykeyan

Rohan Pai
Aapti Institute

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Rohan Pai

Joone Kim Lopez
Moulton Nigel Water District

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Joone Kim Lopez

Amrita Nanda
Aapti Institute

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Amrita Nanda

Organiser(s): Agencia de Desarrollo de la Unin Africana, Nueva Asociacin para el Desarrollo de frica (AUDA-NEPAD) / Direccin de Estadsticas Nacionales (DNS-Somalia) / Centro de Poltica de Economa de Datos (DepHUB); Instituto Universitario Europeo

Statistical offices and data systems have grown to improve tracking of the SDGs. Yet data literacy and data access remains a challenge for the public to engage with data and information. Engaging with data and information can support civil society and public voice to better understand and question data, and hold governments accountable. Furthermore, shifting the power from data users to data providers can steer a more inclusive approach to data systems and responsible data practices. This requires engaging with data in formats that break barriers of language and data literacy. Data visualization has improved how we communicate data, but does not adequately reach the broader public. Here is where innovation in data communication is needed. In this session, I will exhibit an interactive data artwork, provide a brief overview and allow for participants to engage with the artpiece using an augmented reality application. The interactive data artwork is based on South African Sustainable Development Goal data, focusing on the context where I am from and conveying individual stories and data SDG indicator insights. The exhibit is aimed to present a single country case, which may be adapted in other forms that align with local contexts and indigenous art. The artwork will be abstract, acrylic painting on canvas, approximately 2.3 x 2.6 meters to allow for groups of 5-6 individuals to view at a time. An augmented reality application will be used to allow interaction with components of the art piece to provide additional information, visualizations and video content. Participants will be allowed to respond with views on the role alternative data communication channels can play in increasing public engagement with data. The overview and discussion will be 15 minutes. Thereafter, the artwork may remain on exhibit for independent engagement. / In Africa, infrastructure projects play a crucial role not only as physical structures but also as vital lifelines that can drive strong economic growth, foster societal progress, and generate substantial job opportunities. The African Development Bank reports that Africa needs to invest between $130 - 170 billion annually in infrastructure. However, there's a significant gap in not just funding but also in how these projects translate to tangible social benefits like job creation. This session seeks to stimulate discussion and debate on how optimizing job creation metrics using the PIDA Job Creation toolkit in infrastructure projects can strengthen social safety nets and ignite discussions as to how governments can use such metrics to deliberately design projects that support vulnerable households on the continent. Job creation in infrastructure projects extends far beyond direct employment during the construction phase. According to the World Bank, these projects can have a multiplier effect, potentially creating indirect and induced jobs. For example, when a highway is constructed, it not only employs construction workers but also boosts employment in other sectors involved in manufacturing, supply, and retail. However, the context in many African regions is characterized by populations living on less than $1 per day, thereby creating a high level of vulnerability due to economic and social factors. In such circumstances, job creation through infrastructure projects can be a game-changer. The International Labor Organization highlights the potential of targeted job creation to significantly alleviate poverty in vulnerable communities. By incorporating job creation metrics that focus on these marginalized groups from the outset of infrastructure projects, initiatives can become more inclusive, providing employment opportunities to those who need them most. This not only strengthens social safety nets but also aligns with the broader goals of poverty reduction and inclusive economic development in Africa. This approach, however, needs to be tailored to the unique context of Africa, considering the continent's diverse challenges and opportunities that require access to reliable data to understand how infrastructure development can directly benefit vulnerable communities and contribute to broader social safety frameworks. This is precisely why the PIDA Job Creation Toolkit is a valuable resource that has the potential to support governments in estimating the number of jobs a project can create and thereby linking such data to social safety nets through targeted job creation. The toolkit serves as an online platform that enables users to estimate the job creation potential of African infrastructure projects. The toolkit is designed to capitalize on Africa's demographic dividend and opportunities for regional economic development through job creation in infrastructure, thereby aligning with the continent's specific needs and prospects. / Este taller interactivo proporcionar a las participantes habilidades prcticas para trabajar con Datos Abiertos haciendo uso de la Gua de Datos Abiertos del GENL. Se llevarn a cabo demostraciones en vivo del portal de Datos Abiertos de Nuevo Len y se proporcionarn herramientas y recursos para el anlisis de datos. Las personas participantes tendrn la oportunidad de trabajar en grupos para explorar la herramienta y el documento. / Proposal Description: Prioritising the revitalisation of statistical systems through strategic data utilisation and partnerships to advance Sustainable Development Goals (SDGs) has become a global imperative. The Federal Government of Somalia, represented by the Somalia National Bureau of Statistics (SNBS), is committed to fortifying the nation's statistical infrastructure through enhanced data management and collaborative partnerships for SDG progress. To address existing data deficiencies and emerging demands, Somalia's National Statistical System requires fortification, emphasising robustness, transparency, and coordinated partnerships. By fostering robust collaborations, we aim to create an enabling environment conducive to effective organisational performance grounded in shared values centred on data empowerment and SDG achievement. This proposal aims to optimise organisational and partnership efficacy towards SDG attainment by exploring various partnership models and their impact on value creation for stakeholders and beneficiaries. Collaboration across diverse sectors has emerged as a pivotal aspect of international development, offering complementary services within the data-for-development ecosystem. Rationale: Financial and human resource constraints have hindered Somalia's ability to establish a functional statistical system, resulting in a dearth of reliable economic and social data. This deficiency impedes planning processes and constrains developmental investments, underscoring the urgent need to strengthen national data systems for informed decision-making. From Big Data to Big Insights: The Power and Efficiency of Big Data and Data Science in Statistical Work. This proposal paper focus on recommends developing an international policy for the use of non-traditional data in statistical work. This policy should include identifying relevant non-traditional data sources, evaluating their quality and reliability, and developing appropriate methods for integrating them into statistical work. Ethical standards, data protection, and security must also be considered when disseminating non-traditional data. The integration of traditional and modern methods, rigorous evaluation processes, and the development of new statistical models and algorithms can provide more accurate and reliable results. This paper aims to study the factors involved in developing a policy for using non-traditional data in the work of statistical offices, assessing the impact of the diversity of sources, and developing research methodology on data quality and the needs of statisticians in supporting decision-makers. This study provides a comprehensive explanation of the benefits and limitations of using large and non-traditional data sources and following Best practices by researching many published studies and research available on the official search engines of international organizations, as well as reports issued by the Statistics Center. Also will emphasize in this research the importance of transparency, ethical standards, data protection, and security when publishing non-traditional data in addition of discuss some statistics that distinguish between traditional and non-traditional sources We also examine case studies where we touch on the importance of integrating traditional and non-traditional data sources and where they are used to support decision-making and study the challenges and opportunities for using these data sources. Finally, I propose to develop an international policy for the use of non-traditional data to ensure data accuracy, reliability in decision-making with ethics and privacy considerate . / There is an increasing acknowledgment within public governance circles that democratisation and effective governance hinges not only on the implementation of diverse and innovative policy tools but also on access to a comprehensive array of high-value data sets. From a national statistics system (NSS). perspective, high-value data encompasses datasets that are interoperable, meticulously collected, rigorously analysed, machine-readable, and accurately interpreted to provide insights into various aspects of a nation's socioeconomic landscape. In recent years, Africa has witnessed significant advancements in data collection, analysis, and dissemination, driven by technological innovation and increasing demand for data-driven decision-making. However, for the public sector, the effectiveness of these efforts hinges on the interoperability of statistical data across diverse systems and platforms. In the age of Artificial Intelligence (AI), where data-driven insights are critical for addressing complex socio-economic challenges, the need for robust data governance frameworks for statistical interoperability and modernisation of national statistics systems (NSS) is more pronounced than ever. This session is based on a policy paper that examines the current state of data governance for statistical interoperability in Africa. The paper makes use of select country case studies to shed light on the progress made at a national level to modernise official statistics in Africa and provides recommendations for enhancing interoperability in the context of AI-driven data analytics for the public interest.

Sharmarke Mohamed Farah
Somalia National Burea of Statistics

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Sharmarke Mohamed Farah

Sharmarke Farah is the Director-General of the Somali National Bureau of Statistics (SNBS). He is responsible for leading and coordinating the comprehensive national statistics development strategy (NSDS). The SNBS is an autonomous government agency mandated to collect, analyse, and disseminate all official economic, social, environmental and demographic statistics as well as the formulation of policies and establishing the internal regulations, priorities, standards, and criteria for all censuses and surveys to be carried out in Somalia. Before his appointment as the DG of SNBS, Mr Farah served as the Principal Economic Advisor to the Prime Minister of Somalia and the Coordinator of the Economic Roadmap, working with 14 Federal Ministries and the Central Bank, focusing on economic and financial reforms (PFM), debt relief, National Development Plan (NDP), human capital development, investment and trade facilitation (including WTO accession), private and infrastructure sector development. During this period, he was a member of the Financial Governance Committee (FGC), a high-level advisory panel, comprising government and international representatives. Mr Farah led the technical renegotiation on the Mogadishu Airport and Port concessions, ensuring significant investment, increased government revenues, greater accountability and transparency, and compliance with international agreements and conventions as well as international quality and safety standards. Sharmarke is the founder and former Executive Director of a Somalia-based Think-Tank that specialises in research on institutional development, public sector governance and public service delivery. Partners include the UN, NGOs, governments, universities and the private sector. Whilst managing Hayaan Institute, Sharmarke provided regular consultancy to government and international partners (UN, World Bank, AfDB, USAID, FCDO) on national development policy and strategy, public finance, economic growth strategies, sectoral planning and environmental management. Sharmarke worked with UNICEF for over seven years in various capacities in Somalia, New York HQ and North Korea. He has an MSc in Public Policy and Management from the School of Oriental and African Studies (SOAS), University of London, UK.

Shamira Ahmed
Data Economy Policy Hub (DepHUB)

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Shamira Ahmed

Mc Neil Mhango
Senior Programme Officer - Information Management Specialist - African Union Development Agency, New Partnership for Africa's Development (AUDA-NEPAD)

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Mc Neil Mhango

Organiser(s): Departamento Nacional de Planeacin (DNP-Colombia), CND, Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Ministerio de Tecnologas de la Informacin y las Comunicaciones (MINTIC-Colombia), Departamento Administrativo de la Presidencia de la Republica (DAPRE-Colombia)

Saul Kattan
National Data Committee (CND)

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Saul Kattan

Viviana Vanegas
National Planning Department, Colombia

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Viviana Vanegas

Fahad bin Abdullah Al-Dossari
General Authority for Statistics (GAStat-Saudi Arabia)

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Fahad bin Abdullah Al-Dossari

Angie Lecot
AGESIC

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Angie Lecot

Organiser(s): HelpAge International; Oficina de Estadsticas Nacionales (ONS-Reino Unido); Organizacin Mundial de la Salud (OMS); Estadsticas de Sudfrica (Stats SA); Departamento de Asuntos Econmicos y Sociales de las Naciones Unidas (UNDESA)

The 2030 Agenda for Sustainable Development pledges to eliminate poverty in all its dimensions and improve health outcomes for all, while protecting the environment. These pledges are made to every individual, regardless of their age, gender, disability, or socio-economic background. However, the present-day data systems and tools underpinning the 2030 Agenda struggle to produce good quality, timely and disaggregated statistics on older people. The key problem is that older respondents are either excluded from major surveys, or when they are included, their sample size is insufficient to present more detailed and insightful results. Additionally, traditional concepts and indicators used in statistics, like dependency ratio, premature mortality, economically active population and others, are informed by the stereotype that older women and older men are frail, do not participate in the social, economic, political and cultural life of their communities, and are a burden to their families and health and economic systems. This means that older people, including those from marginalised communities, are almost invisible in data, and their diverse and varied experiences of ageing are reduced to an 'average', reinforcing 'ageist' views in policies and programs. To change this, National Statistical Offices, UN agencies, academia and civil society came together in 2018 to form the Titchfield City Group on Ageing and Age-disaggregated Data. The group has been working to develop guidance and tools to improve the production, analysis, reporting and dissemination of data on the situation of older women and older men. The objectives of this session are to: (i) Present the findings of the review of ageing-relating statistics with respect to the Sustainable Development Goals Indicator Framework to highlight the availability of data on ageing and key gaps; (ii) Outline the conceptual framework for ageing-related statistics to guide the collection of data and support the monitoring of progress on wellbeing and rights of older people with respect to the SDGs and the UN Decade of Healthy Ageing; (iii) Highlight lessons on how countries with different contexts ensure that SDG indicators are ageing-inclusive; and (iv) Identify opportunities to adopt and mainstream these lessons in national SDG-related processes.

Organiser(s): Instituto Nacional de Estadstica (INE-Uruguay); Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Fondo de Poblacin de las Naciones Unidas (UNFPA); WorldPop/Universidad de Southampton; Alto Comisionado de las Naciones Unidas para los Refugiados (ACNUR); Instituto Nacional de Estadstica (INS-Camern)

Census and national survey data enable decision-makers to improve lives and livelihoods by providing context to act in more effective and targeted ways. Census and national surveys are therefore the most important tools available to understand the spatial distribution of a population and its characteristics, and accurate demographic data are critical for good governance, development planning, risk reduction and crisis response. However, there are significant obstacles facing censuses and national surveys in low- and middle-income countries. These difficulties include lack of funding and inadequate use of modern geospatial techniques, which frequently cause censuses and surveys to be delayed and provide more biased results. Thus, to conduct a census and national survey more effectively and accurately, innovation in geospatial tools and techniques is essential. In support of census and survey innovation, WorldPop developed the pre-EA package as part of a set of tools that countries can use to modernise and implement their census and survey planning. Although the tool has been used in over 20 countries, particular cases will be discussed in this session to demonstrate how it has helped censuses and surveys in various applications. PreEA tool has supported Benin's first digital census and helped the country to generate automatic census Enumeration Areas (EA) for the entire country. In Colombia, DANE's statistical office utilized the tool to help prepare for the economic census in 2024. In both countries, the tool has been proven to be better than traditional approaches in demarcating accurate census units, significant labour reduction and increasing accuracy. Nigeria is planning to conduct its first historical national digital census. However, it was difficult to accurately identify hard-to-reach areas and allocate resources manually because of its large geographic size, high population, and inaccessibility in some locations due to security issues. A specific tool that takes into account several geographic layers is provided by the preEA package, which helped identify hard-to-reach locations and divert resources to the areas that need them most. The pre-EA tool also has a use case for hard-to-reach populations beyond the national census and surveys. There is a growing demand for more reliable socioeconomic data on the forcibly displaced. However, it is challenging to establish adequate sampling frames to survey the forcibly displaced population. In collaboration with the INS and UNHCR, the preEA tool was successfully used to create a customized sampling frame for surveying the refugee population in Cameroon. This session will introduce delegates to the tools developed by WorldPop to support the census and survey process by demonstrating the pre-EA tool, sharing national use cases of the tool from Nigeria, Colombia, Benin and Cameroon, and then facilitating a panel discussion on the role of innovation for the census and survey.

Sabrina Juran
United Nations Population Fund (UNFPA)

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Sabrina Juran

Sabrina Juran, Ph.D is a development sociologist, with more than 12 years of international experience in the areas of population and development, data and policy, adolescents and youth, as well as sexual and reproductive health. She works as Regional Advisor for Population and Development at the Regional Office for Latin America and the Caribbean of the United Nations Population Fund (UNFPA). During her career at the Fund, Dr. Juran has worked in all major areas of population research and policy. Sabrina holds a Master’s degree in social sciences and a PhD in sociology from Humboldt University in Berlin, Germany and serves as Lecturer on Global Health and Social Medicine at the Program in Global Surgery and Social Change at Harvard Medical School.

Enzo Rossi
Devotta AS University of Oslo (UiO)

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Enzo Rossi

Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Piedad Urdinola Contreras

Hisham Galal
United Nations High Commissioner for Refugees (UNHCR)

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Hisham Galal

Leonardo Cuello
Instituto Nacional de Estadistica (INE-Uruguay)

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Leonardo Cuello

Maria Olmedo Malagon
U.S. Census Bureau

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Maria Olmedo Malagon

Sarchil Qader
WorldPop/University of Southampton

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Sarchil Qader

Organiser(s): Entidad de las Naciones Unidas para la Igualdad de Gnero y el Empoderamiento de la Mujer (ONU Mujeres); Oficina de Coordinacin de Asuntos Humanitarios de las Naciones Unidas (OCHA); Banco Africano de Desarrollo (AfDB); CLEAR Global; Gobierno de Uganda, Uganda; Agencia Central de Estadsticas (CSA-Etiopa); Fondo de Poblacin de las Naciones Unidas (UNFPA); Organizacin Internacional para las Migraciones (OIM); Alto Comisionado de las Naciones Unidas para los Refugiados (ACNUR)

Up-to-date, high-quality population estimates disaggregated by age, sex, and subnational area are critical for evidence-based humanitarian action and development planning. In many countries facing humanitarian crises, however, available population data and projections often do not reflect recent crisis-related mobility. Also, the national statistical system and humanitarian data ecosystem are siloed. This limits the usability of this data for humanitarian and development purposes, and poses an important challenge to governments and humanitarian agencies seeking to ensure that population data is inclusive of vulnerable individuals, such as internally displaced persons. Further, effective disaster preparedness and operational humanitarian response requires an intersectional lens that unpacks how multiple dimensions of inequality or disadvantage are compounded. This session will highlight recent efforts to integrate the official statistical system and humanitarian data ecosystem to ensure forced displacement and intersectionality are comprehensively incorporated in population vulnerability analysis and needs assessment. It will showcase recent insights and lessons learned from West/Central Africa, Ukraine, Mozambique, and the Philippines. The intended outcome of the session will be peer-to-peer learning and the identification of scalable technical standards and modes of collaboration in integrating forced displacement and intersectionality in baseline population estimates and projections across the humanitarian, peace and development continuum. The session will begin with two lightning presentations that provide an overview of the challenges and some of the emerging solutions to integrating forced displacement and intersectionality into population estimates and projections across the humanitarian, peace and development continuum.

Shaida Badiee
Open Data Watch (ODW)

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Shaida Badiee

Isabella Schmidt
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)

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Isabella Schmidt

Romesh Silva
United Nations Population Fund (UNFPA)

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Romesh Silva

Romesh Silva, Ph.D. is a demographer. He leads technical work on population data systems in humanitarian settings, as well as the strengthening of civil registration and vital statistics systems at the United Nations Population Fund. He previously served on the faculty of the Department of International Health at the Bloomberg School of Public Health, Johns Hopkins University.Romesh chairs the IUSSP Scientific Panel on Population Perspectives and Demographic Methods to Strengthen Civil Registration and Vital Statistics (CRVS) Systems, serves on the steering committee of the National Academy of Science's Expert Panel on the Demography of Forced Migration, is the guest editor for a Genus Thematic Series on CRVS and serves on the editorial board of the journal Conflict & Health.Romesh has served on the National Academy of Science’s expert panel on Darfur to review mortality estimates on Darfur, Sudan, the American Statistical Association's Committee on Scientific Freedom and Human Rights, and the IUSSP's Scientific Panel on Strengthening Civil Registration and Vital Statistics Systems. Romesh holds a Ph.D. in Demography from the University of California, Berkeley, a M.A. in International Affairs from Columbia University in New York, and a M.A. in Demography from the University of California, Berkeley, and B.A. (Hons, Class 1) in Statistics and a B.A. in German Studies from the University of New South Wales in Sydney, Australia.

Organiser(s): Comunidad del Pacfico (SPC); Oficina Nacional de Estadsticas (NSO-Vanuatu); Oficina de Estadsticas de Samoa; Oficina de Estadsticas y Planes (BSP-Guam); Instituto Nacional de Estadstica y Estudios Econmicos (INSEE-Francia)

This session will explore the journey and impact of data modernisation initiatives across Small Island Developing States (SIDS) in the Pacific. Featuring a panel of experts from the National Statistics Offices of French Polynesia, Guam, Samoa, and Vanuatu, this full-length panel discussion will explore the unique challenges and innovative solutions adopted by Pacific SIDS in their quest for data modernisation. The session will delve into how these nations have navigated issues of limited resourcesincluding funding, technology, and skilled personneland the impact of data modernisation on the efficiency and accuracy of their statistical operations. Panellists will share success stories of innovative practices that have proven effective in SIDS contexts, offering insights into the broader implications for data accessibility and policy-making. By fostering an engaging dialogue and Q&A session, we aim to encourage knowledge exchange and collaborative problem-solving among SIDS, ultimately contributing to the UNWDF's goal of maximising the use and value of data for better decision making.

Gemma Van Halderen
Department of Social Services (DSS)

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Gemma Van Halderen

Leota Aliielua Salani
Samoa Bureau of Statistics

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Leota Aliielua Salani

Laurent Pellet
Institut de la Statistique de la Polynesie Fran

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Laurent Pellet

Peter Ellis
Pacific Community (SPC)

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Peter Ellis

Matthew Santo
Bureau of Statistics and Plans (BSP-Guam)

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Matthew Santo

Organiser(s): Programa de las Naciones Unidas para el Desarrollo (PNUD); Centro Mundial de Monitoreo de la Conservacin del Medio Ambiente (UNEP-WCMC)

Context The rapid increase in Earth observation data presents an unparalleled opportunity to transform the monitoring of the Earths ecosystems to support evidence-based decision-making for biodiversity conservation and sustainable development goals. Substantial investments, such as in other sectors like agriculture, fisheries and health, are needed in Earth observation services to ecosystems to address data that are inconsistent, incomplete, or widely dispersed. Current technology allows to better map ecosystems and biodiversity to calculate indicators, track changes over time, and use integrated biodiversity-inclusive spatial planning. Our session This session will explore how country-driven development and use of spatial data, spatial indicators, and spatial prioritizations can assist countries to address the above challenges. It is crucial that this be a country-led process in which mandated agencies determine priorities for and use of Earth observation data in their countries planning, implementation, monitoring and reporting. From the end users perspective, we will highlight how the governments of Colombia, the Maldives, and South Africa are using spatial data to take action for people and the planet. The session will explore three interconnected tools designed to support national needs: the worlds first-ever Global Ecosystems Atlas (a partnership initiative led by the Group on Earth Observations), the UN Biodiversity Lab (UNBL), and integrated spatial planning through the Maps of Hope approach. Lightning presentations and a panel discussion will explore perspectives on how spatial data, spatial monitoring, and spatial planning tools can support implementation and achievement of national and global goals for nature and sustainable development. Outputs Capacity Building: the Global Ecosystems Atlas, UNBL, and Maps of Hope can support national capacity to plan, implement, monitor, and report on biodiversity targets and sustainable development goals. Engage Stakeholders: everyonefrom governments to individual citizenscan access these data and tools to support decision-making processes. Modernize Data Governance: innovative approaches to data collection, integration, and dissemination reflect a modernized data governance framework, advanced technologies and standards. Promote Data Dissemination & Application: data related to biodiversity, climate and sustainable development are accessible and promote transparency.

Maria Cecilia Londono
Humboldt Institute

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Maria Cecilia Londono

Di Zhang
United Nations Development Programme (UNDP)

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Di Zhang

Adrian Neyra
Ministerio del Ambiente, Peru

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Adrian Neyra

Daniel Borja
Ministerio del Ambiente, Agua y Transición Ecológica del Ecuador

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Daniel Borja

Organiser(s): Universidad de los Andes; Restless Development; Alianza Global para los Datos del Desarrollo Sostenible (GPSDD)

In this age of ever-advancing, fast evolving technology, it is more important than ever to ground data collection, use and management methods within the framework of human rights. Data and its use in ethical, representative and inclusive ways is essential for upholding digital rights, and by extension human rights in the digital world we live in. Yet too many people remain excluded and harmed by unjust datas use. Communities that have traditionally been marginalized and left out of decisions on how their data is collected and used are changing that. They are leading in efforts to ensure that data being used by governments and others to progress the SDGs is inclusive, useful, transparent, accountable and representative of all people. The session will explore some of the challenges communities face in safeguarding data, privacy, and human rights, unraveling these complexities and exploring the pathways they are taking to overcome barriers through collaborative efforts across sectors that prioritize the protection of human rights, and advocate for inclusive, equitable and open data practices that respect individual autonomy and community sovereignty. In this session we plan to highlight community approaches to protecting digital rights and creating fairer data practices, what the commonalities are and how they can be applied in communities around the world to protect human rights, promote inclusion, representation and equality and the role of policy makers in these processes. This session will be based around conversation, a format that motivates open dialogue and allows participants to share experiences guided by specific questions. This approach is distinct from traditional panels, emphasizing the value of every participant's voice in the discussion. Our speakers have diverse backgrounds and bring a community-based perspective to the conversation. The first 20 minutes of the session will be an open conversation between four youth/community activists discussing their work they have been doing recently to promote and protect human rights and inclusion in the digital and data space. The second half of the session will be a moderated Q&A with a regional policy maker joining the panel, each will be asked questions focusing on why these models are successful, why community involvement is so important and learnings on how these ideas can be replicated across different geographies and settings.

Ronald Kasule
Global Partnership for Sustainable Development Data (GPSDD)

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Ronald Kasule

Navina Mutabazi
Global Partnership for Sustainable Development Data (GPSDD)

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Navina Mutabazi

Rubina Adhikari
Global Partnership for Sustainable Development Data (GPSDD)

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Rubina Adhikari

Geoffrey Gichunji Kariuki
Kenya National Bureau of Statistics (KNBS)

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Geoffrey Gichunji Kariuki

Fernande Alvarez Molina
Red Popular trans

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Fernande Alvarez Molina

Aaron Zea
Universidad de los Andes

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Aaron Zea

Organiser(s): Miembros del Grupo de Expertos en Estadsticas de Refugiados, Desplazados Internos y Aptridas (EGRISS) y del Colaborativo sobre Datos Administrativos, incluyendo: Comisin de la Unin Africana (AUC); Instituto Nacional de Estadstica (INE-Honduras); Servicio Conjunto de Perfiles de Desplazados Internos (JIPS); Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Comisin Econmica para Amrica Latina y el Caribe de las Naciones Unidas (UNECLAC / CEPAL); Agencia de Refugiados de las Naciones Unidas (ACNUR)

Agenda 2030s commitment to leave no one behind can be concretized through data systems that are inclusive of the worlds most vulnerable populations. In a world where climate change, conflict and fragility cause millions of people to migrate, this commitment must consider migrant and displaced populations, as well as those who find themselves stateless. Many governments are pioneering approaches to improve data and statistics on these groups. International Statistical Recommendations on Refugees (2018), Internally Displaced Persons (2020) and Statelessness (2023) present an important opportunity to augment this work. Through the adaptation of national census and surveys, many countries are leading the way to implement the Recommendations and improve data inclusivity. Yet, efforts to improve the timeliness, coverage and quality of data on these populations require an enhanced focus on administrative data collected through, for example, migration management systems or population/civil registration procedures. At the World Data Forum, the Collaborative on Administrative Data and Expert Group on Refugee, IDP and Statelessness Statistics, join forces to tackle an issue that lies at the inter-section of their work. Building upon the working methodology of both groups, this event will bring together national, regional and international experts to showcase diverse experiences. Regional cooperation, through the ongoing work in Latin America and the Caribbean, under the Biennial Program of Regional and International Cooperation of the Statistical Conference of the Americas of the UNECLAC, will be highlighted. Format: Lightning talk showcasing Colombias national experience using different data sources to improve national statistics on migrants, refugees and IDPs. Moderated panel discussion drawing attention to the benefits of regional and international cooperation, lessons from working on sensitive statistical topics such as statelessness or displacement in the context of generalized violence, and opportunities to strengthen the use of administrative data for statistical purposes. Interactive audience participation through polls. Outputs: Increased awareness of the importance of inclusive statistics for IDPs, refugees, and stateless persons in achieving the SDGs. Identification of lessons learned that can be applied by national statistical offices and regional bodies worldwide. Concrete recommendations for a capacity development roadmap that can help leverage administrative data for improved statistics on forced displacement and statelessness.

Oscar Rico
Joint IDP Profiling Service (JIPS)

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Oscar Rico

Natalia Baal
Expert Group on Refugee, IDP and Statelessness Statistics (EGRISS)

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Natalia Baal

Adoum Gagoloum
African Union Commission (AUC)

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Adoum Gagoloum

Eugenio Sosa
Instituto Nacional de Estadistica (INE-Honduras)

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Eugenio Sosa

Sebastian Ruiz
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Sebastian Ruiz

Organiser(s): Foro Econmico Mundial (WEF); DataKind; Usahidi Inc; Mastercard

Increasingly, methods such as artificial intelligence and generative AI are using data to draw conclusions and create new knowledge. Given this, data equity becomes an imperative that requires a series of actions to respond to historical and current harms that have been caused by our data, analytical methods, and oversights in applying results to populations that have not always been correctly reflected in our datasets or analyses. Data equity can be defined as the shared responsibility for fair data practices that respect and promote human rights, opportunity and dignity. Data equity is a fundamental responsibility that requires strategic, participative, inclusive, and proactive collective and coordinated action to create a world where data-based systems promote fair, just and beneficial outcomes for all individuals, groups and communities. It recognizes that data practices including collection, curation, processing, retention, analysis, stewardship and responsible application of resulting insights significantly impact human rights and the resulting access to social, economic, natural and cultural resources and opportunities. Join representatives from the World Economic Forum's Global Future Council (GFC) on Data Equity, an interdisciplinary, multistakeholder group of experts, in an interactive workshop to explore the principles and application of a data equity framework to promote data equity within the development of foundational models and future genAI tools in diverse contexts.

Georges-Simon Ulrich
Swiss Federal Statistical Office (SFSO)

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Georges-Simon Ulrich

Georges-Simon Ulrich was appointed Director-General of the Federal Statistical Office by the Federal Council on 1st October 2013. He studied Business Administration in Switzerland, the USA (University of Virginia, Darden Business School) and Australia, where he obtained his Doctor in Business Administration at the University of Southern Queensland with a thesis on Stakeholder management and communication. He is also Professor in strategic management and research methods at the University of Applied Sciences in Business Administration Zurich. Between 1992 and 2010 Mr Ulrich worked in private enterprise, holding various management positions in market and opinion research. From May 2011 to September 2013, he was Director of the LUSTAT statistical office in Lucerne, and from March 2017 to March 2018, Mr Ulrich was Vice Chair of the UN Statistical Commission.The Director is responsible for managing the FSO while ensuring that the ethical principles of official statistics are applied to every aspect of its work, ranging from specialist subjects to personnel and financial and organisational matters. He ensures that the Office works in line with the Federal Council’s objectives and is able to face the challenges of the future. By implementing targeted objectives, and together with the board of management and executive members of staff, he puts into practice the FSO’s vision and strategy. He is in charge of the Office’s seven divisions and represents the FSO in important national and international affairs. In the parliamentary Commissions, he is answerable to members of parliament.

Karla Yee Amezaga
World Economic Forum (WEF)

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Karla Yee Amezaga

Karla Yee Amezaga is originally from Mexico. She is passionate about the intersection of new technologies and data, and exploring how data can inform policy and promote digital transformation of governments, trusted cross-sector collaboration, better user-centered services, and inclusive and sustainable development around the world. Currently, she is Lead of Data Policy at the World Economic Forum in San Francisco, California. Prior to joining the Forum, Karla worked at the Inter-American Development Bank and the World Bank in Washington, D.C., supporting data analysis, statistical capacity building, and digital transformation of governments. Before that, she worked at the OECD, Ashoka Changemakers, and the Mexican Ministry of Foreign Affairs. Karla holds a master’s degree in International Affairs from the University of California - San Diego (UCSD), and bachelor’s degrees in Political Science and in International Relations from the Autonomous Technological Institute of Mexico (ITAM).

JoAnn Stonier
Mastercard

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JoAnn Stonier

Angela Oduor Lungati
Ushahidi Inc

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Angela Oduor Lungati

Lauren Woodman
DataKind

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Lauren Woodman

Organiser(s): Universidad de Viena; Laboratorio de Transformaciones Digitales para la Salud (DTH)

At present, the benefits and risks emerging from digital practices are distributed inequitably, both within and across societies. Policymakers and the general public increasingly ask how to govern data use in a way that is fair, sustainable and which positively contributes to wider society. Solidarity-based data governance (in short: data solidarity) seeks to ensure that the benefits and risks of digital practices are distributed fairly. Central to the aims of data solidarity is supporting and facilitating data use that is likely to create significant public value, while also preventing and mitigating harm. To further these goals, our team at the University of Vienna has developed PLUTO (the Public VaLUe Assessment TOol): an online tool that gives individuals, policymakers and other stakeholders a structured way of assessing the public value of data use. PLUTO is a weighted online questionnaire which considers the profile of the data user, the likely benefits and risks associated with the data use, and the institutional safeguards in place for if and when data harm does occur. Upon completing the tool, users receive a graphical representation of the public value of the data use that they inquired about, and recommendations as to how the public value of this data use could be improved. The tool can be used by organisations or businesses using data, but also by people from whom the data comes. By conceptualising public value as a composite of risks and benefits and putting this understanding into practice, PLUTO offers a groundbreaking opportunity for fairer and more inclusive data use, which emphasises public trust, protection of individuals and communities, and ethics in data use. This interactive session will be an opportunity for participants to actively engage with and explore the implications of PLUTO. The session is open to all stakeholders who use data or who are interested in the public value of data use, including government, public and private bodies, philanthropic organisations and researchers. Over the course of the session, participants will learn about the conceptual and methodological underpinnings of the tool, will use it themselves in real-world scenarios, and will be encouraged to consider how the public value of data use can be ensured across the digital ecosystem. Beyond a theoretical understanding of public value, the session is designed to empower participants by equipping them with practical skills and insights. Attendees will not only learn how to use PLUTO, but how to actively contribute to the creation and maintenance of public value within their respective domains.

Connor Hogan
University of Vienna

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Connor Hogan

Seliem El-Sayed
University of Vienna

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Seliem El-Sayed

Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Instituto Internacional para el Desarrollo Sostenible (IISD); Centro Internacional de la Sociedad Civil; Instituto de Gestin y Desarrollo Sostenible (Msd); Foro de ONG en Camboya; Oficina General de Estadsticas (GSO-Vietnam); Banco Interamericano de Desarrollo (BID); Comisin Econmica para Amrica Latina y el Caribe de las Naciones Unidas (UNECLAC / CEPAL); Instituto Nacional de Estadsticas (INE-Chile); Women's Funding Network; Candid

This launching event will be dedicated to gender and diversity initiatives as well as data disaggregation. The event will highlight the importance of breaking down data by gender to uncover disparities, inform gender-sensitive policies, and promote accountability in addressing gender inequalities. It will showcase innovative projects empowering women and diverse population groups through data-driven strategies and discuss the intersectional aspects of gender data disaggregation, including race, ethnicity, age, disability, and socioeconomic status. National Time Transfer Accounts (NTTA) in Colombia: the development of the NTTA in Colombia is a innovative development that makes women's contribution to unpaid work visible in the system of national accounts, and which will be used to present the work plan associated with the construction of the National Inclusion Accounts. Initiative to support women-led agricultural cooperatives in Cambodia and Vietnam through citizen-generated data: this country-crossing collaboration aims to foster improved gender equality, women's empowerment, and promotion and protection of women's rights in agriculture and food systems. As part of this project women-led agricultural cooperatives, civil society organizations, and rural communities will be trained to collect CGD on the barriers to women's leadership and decision-making in agriculture and on the impacts of investments in agriculture and food systems, especially on women and girls. Collaborative Dashboard Women's Funding Network and Candid: the launch consists of a co-created public interactive dashboard that reveals insights into nonprofit leadership trends disaggregated by race and gender in the United States. This partnership meets a community need to apply an intersectional lens to data analysis and allows funders and non-profits to gain insight into disparities within their communities that may be masked by aggregated data. Comunidades de Prctica para Datos de Poblacin Diversa: the launch presents a new initiative of regional cooperation that aims to improve knowledge sharing, facilitate the generation of a common conceptual framework and a consensus on best practices regarding the measurement of race, ethnicity, gender identity, and sexual orientation, with the goal of strengthening capacities among National Statistics Offices (NSO). The initiative plans to reach a consensus on the best way to include SOGI and race/ethnicity questions in official instruments and subsequently disseminating the results and information availability to promote the use of the data to inform public policy decisions.

Karen Garcia
United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL)

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Karen Garcia

Olga Barquero
Instituto Nacional de Estadisticas (INE-Chile)

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Olga Barquero

Catalina Spinel
Candid

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Catalina Spinel

Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Piedad Urdinola Contreras

Stefan Jungcurt
International Institute for Sustainable Development (IISD)

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Stefan Jungcurt

Nadin Medellin
Gender and Diversity Specialist - Inter-American Development Bank (IDB)

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Nadin Medellin

Sara Keilholtz
Women's Funding Network

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Sara Keilholtz

Organiser(s): Estadsticas de Indonesia (BPS); Fondo de las Naciones Unidas para la Infancia (UNICEF) / Oficina de las Naciones Unidas contra la Droga y el Delito (UNODC) / Organizacin Internacional del Trabajo (OIT) / CAGIDEV-COM / Oficina de Estadsticas Nacionales (ONS-Reino Unido); Ordnance Survey, Reino Unido de Gran Bretaa e Irlanda del Norte

Focus: This session will delve into innovative methodologies for mapping and addressing child poverty on Java Island, Indonesia, utilizing satellite imagery, geospatial data, and machine learning. The analysis will focus on understanding child deprivation through spatial characteristics, investigating the interplay between the physical environment and access to essential services. Scope: By leveraging advanced geospatial techniques, the session will explore how various indicessuch as the Normalized Difference Vegetation Index (NDVI) for identifying agricultural areas, the Normalized Difference Built-up Index (NDBI) for urban regions, and the Normalized Difference Water Index (NDWI) for locating water bodiescan provide critical insights into the environmental factors influencing child deprivation. Additionally, air quality data from Sentinel 5P, which measures pollutants like carbon monoxide and sulfur dioxide, will be examined to highlight environmental challenges in deprived areas. Furthermore, the integration of other geospatial data, such as the locations of healthcare and educational facilities, will enrich the understanding of child deprivation. These diverse data sources, when combined with machine learning algorithms, offer a more granular and comprehensive view of child deprivation than traditional survey methods. Outputs: 1) Detailed Maps and Visualizations: The session will produce high-resolution maps and visualizations that pinpoint the locations of deprived children, showcasing disparities in access to essential services. 2) Web Story: A web story will be created to engage non-technical stakeholders, making the data more accessible and understandable, thereby encouraging its use. / UNODC, in partnership with the European Space Agency and 5 industrial companies, is exploring the use of innovative tools like Earth Observation (EO) data and Open-Source Intelligence (OSINT) to address data gaps related to illegal activities in vulnerable regions. UNODC and the consortium employs timely acquisition of satellite imagery and data extracted from social and traditional media sources to complement official statistics. This approach ensures the provision of current and up-to-date information, enhancing the effectiveness of the research and development efforts, as well as supporting the monitoring of the SDGs, especially SDGs 16.1, 16.2 and 16.4. Geographic information, including earth observation data has a great potential for integrating different data sources about various criminal activities and their convergence. The objective of the session is to present the outcomes, lessons learned, and good practices adopted for using earth observation and open-source intelligence data for complementing official statistics in a meaningful manner. The focus of the presentation will be on two specific use cases, investigating the potential of these data to support research and development. The first use case centers on areas where various criminal activities converge in Brazil, specifically in regions marked by illegal mining and deforestation. These activities are closely linked to incidents of homicides and attacks on environmental defenders. In the Mekong region, the second use case targets the so-called Special Economic Zones, initially intended for development but now attracting high-level criminals due to special tax and legislative conditions. These zones have become notorious criminal hubs, fostering a range of illegal activities such as human trafficking, wildlife crimes, arms trade, and drug trafficking that hamper the security and sustainable development of the Mekong region. The expected benefit of this project is to get insights into the use of novel data to enhance our analysis particularly in situations where there are data gaps or outdated information on trafficking patterns and illicit activities. The project will provide insight whether OSINT and Earth Observation can strengthen each other in the analysis and how to deal with privacy sensitive data in a responsible manner. One of the main challenges will be to come to a truly integrated analysis with a contextualization of information with the reality on the ground and to find ways to validate the outcomes in a robust manner. / Measuring and understanding economic growth and employment is key to promote the creation of sustainable and inclusive decent work. For countries that lack traditional data sources and indicators, particularly at the local level, innovative data sources, such as satellite imagery can provide insight. Harnessing such information is valuable in assessing existing levels of economic development and employment, analysing economic shocks from events and highlighting the impacts of interventions targeted at increasing employment, such as investments in infrastructure. The use of night-time lights satellite imagery can be used as a proxy for economic growth and translated into employment to provide an understanding of how these outcomes have changed over time, with data available globally and at regular intervals. Satellite imagery can be used to answer questions, such as, how has a new road improved access to the labour market and what impact has this had on economic outcomes for the population? This talk will focus on how the ILO is applying nighttime lights data to measure the economic and employment impacts of infrastructure programmes in sub-Saharan Africa, key for monitoring and measuring progress towards SDG8, it will identify the associated challenges and opportunities and promising future areas of applying this data to measure economic growth and employment. / Notre proposition consiste donner un aperu sur l'tat de la cartographie numrique openstreetmap au Niger aprs une dcennie de mise en uvre. L'objectif est d'inciter plus les cartographe oeuvrant pour la donner ouverte de voir l'intrt et de voir dans un second temps l'tat actuel des contributions des donnes libre. / This session will focus on the successfully collaborative relationship between the UKs national statistics office (NSO) and national mapping agency (NMA): The Office for National Statistics (ONS) and the Ordnance Survey (OS). NSOs need to provide inclusive statistical insight at ever more granular levels, illustrating the experiences of various facets of society. Geography is the common language that enables this, through better data integration of information from various sources and consequently through more robust and reliable analysis. With the exponential growth in data availability (big data) and technology, the impetus of answering ever more complex national policy questions is greater. To resolve this, there is an increasing need for collaboration and data sharing between data providers and between national mapping and statistical agencies, as advocated by the many United Nations frameworks such as the UN Information Geospatial Integration Framework and the Global Statistical Geospatial Framework. This session will cover some of the early successes from the ONS-OS partnership to date. It will also touch on their new even closer relationship and ambitious plan to consolidate the UK geospatial data offer between our national two mapping and statistical agencies, through an aligned data strategy, which enables: -greater interoperability including faster data integration and linkage, -simplified customer experience. -enhanced analysis and insight. The partnership does not only benefit both organisations but all its combined customers across government departments, public sector, and other organisation throughout the UK. This model is now used to develop a UN tool kit on how to start a relationship and MoU between national mapping and statistical agencies in the hope that other countries will benefit from the UK experience.

Mahamane Moustapha Moutari Goge
CAGIDEV-COM

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Mahamane Moustapha Moutari Goge

Alina Game
International Labour Organization (ILO)

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Alina Game

Coen Bussink
United Nations Office on Drugs and Crime (UNODC)

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Coen Bussink

Fiona James
Office for National Statistics (ONS-UK)

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Fiona James

Nasiya Alifah Utami
Statistics Indonesia (BPS)

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Nasiya Alifah Utami

Organiser(s): Por Confirmar

Organiser(s): Comit del Programa del Foro Mundial de Datos de la ONU (UNWDF PC)

Claire Melamed
Global Partnership for Sustainable Development Data (GPSDD)

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Claire Melamed

Claire Melamed leads the Global Partnership's Secretariat. She was previously Managing Director of the Overseas Development Institute, has worked in the office of the UN Secretary General, and for a number of NGOs. She is an Affiliated Researcher at the Bennett Institute for Public Policy at the University of Cambridge and serves on the Board of Full Fact. She is based in London.

Adrienne Pizatella
Bloomberg Philanthropies

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Adrienne Pizatella

Adrienne Pizatella is a member of the Public Health at Bloomberg Philanthropies. She has been at the organization for more than 8 years and supports the Data for Health Initiative along with key pieces of work under the Tobacco Control Initiative. Prior to joining Bloomberg Philanthropies she spent time working across Asia including India, Cambodia and on the Thai/Myanmar. She has a BA from Georgetown University and an MPH from Columbia University’s Mailman School of Public Health.

Organiser(s): Fondo de las Naciones Unidas para la Infancia (UNICEF); Comisin Econmica para Amrica Latina y el Caribe de las Naciones Unidas (UNECLAC / CEPAL); Instituto Nacional de Estadsticas (INE-Chile); Instituto Nacional de Estadstica (INE-Uruguay)

Administrative data, collected via routine service provision like healthcare or education, are vital for improving service quality, identifying development goals, and reporting against international commitments like the Sustainable Development Goals (SDGs). However, many countries struggle to report on key child-related development indicators due to data quality issues and fragmented systems. In the Latin American and Caribbean region, National Statistical Offices (NSOs) have expressed concerns about the limitations of existing administrative data systems. In response, UNICEF's Latin American and Caribbean Regional Office (LACRO) has launched capacity-building initiatives, including readiness diagnostics and country case studies focused on SDG reporting. These efforts aim to address challenges such as governance, data integration, and technical capacity building. A panel discussion featuring representatives from LAC's statistical offices and UNICEF will explore strategies for advancing administrative data-based statistics on children. Topics will include data platform development, stakeholder engagement, data access, public trust, and organizational structures aligned with SDGs. Participants will learn about the diagnostic approach and receive recommendations for developing mature administrative data systems with a focus on Mainstreaming Child Rights. The main contribution of this work towards the implementation of CTGAP is the dissemination of an approach to diagnosing population administrative data system readiness, with a focus on children, within countries along with recommendations on development pathways which considers data ecosystems wholistically. This approach is successful within the LAC region, is pertinent internationally, and will help ensure that high quality robust systems are built to enable SDG reporting and mainstream child rights.

Xavier Mancero
United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL)

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Xavier Mancero

Aylin Flores Hinojosa
Instituto Nacional de Estadisticas (INE-Chile)

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Aylin Flores Hinojosa

Jenneke Le Moullec
United Nations Children's Fund (UNICEF)

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Jenneke Le Moullec

Liliana Carvajal
United Nations Children's Fund (UNICEF)

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Liliana Carvajal

Valentina Santo
Instituto Nacional de Estadistica (INE-Uruguay)

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Valentina Santo

Organiser(s): Instituto Nacional de Estadstica de Italia (Istat); Fondo de las Naciones Unidas para la Infancia (UNICEF); Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); Universidad de Middlesex

Preventing and combating Violence Against Children (VAC) requires a complete picture of the phenomenon, and data availability and comparability is crucial to understand its extent and characteristics, both at national and international level. However, the current data collected on this topic do not provide enough comparable information on the scale of violence, as well as on its characteristics and on victims profiles. The phenomenon is mainly underreported, data from surveys are not specifically targeted on children, data from registers are often poor for the statistical use. In addition, the difficulty to collect data on violence, in general very sensitive, is even more sensitive due to the involvement of minors, with all the ethical cautions to be taken into consideration. Despite of the increase in sensibility towards this topic, many steps need to be done. To study VAC there is a need: to define a new framework for measuring VAC; to identify and systematize the sources currently available, pinpointing strengths and weaknesses; to estimate the volume of the phenomenon, its several dimensions and risk factors; to analyse the phenomenon through data modelling and integration; to support the statistical capability building on official statistics. Recently UNICEF produced the International Classification on Violence against Children (ICVAC); this is very helpful to individuate the right framework where to move. In Italy, Istat recently started a huge work, on behalf of the European Commission, finalized to VAC measurement. In particular, the aim of the project is the definition of what is violence and what not, the identification of the domains of violence, as well as their measurement. Thanks to the adoption of a mixed methodology" that, merge qualitative methods, involving NGOs, stakeholders and key experts, with the quantitative ones, concerning analysis of literature and of existing quantitative researches on the issue, it is possible to create new tools for data collections. A new important topic concerns the aspect of the technologies facilitated violence that constitute a further frontier to be addressed. Within the ICVAC, the online VAC is placed as a continuum from offline forms of violence. Recent studies from the University of Sussex highlight that new form of online VAC are emerging across different cyberspaces, including social media platforms, messaging apps and videogames. Data that are used also to study protective and preventive policies. As the digital environment is constantly evolving, new technologies are bound to give rise to new and diverse manifestations of violence. Thanks to the INEGI recent studies on this topic it is also possible to assess the gender prevalence of VAC and to focus on the dark figure of VAC. From the Colombian university it is very interesting the study on commercial sexual exploitation of children.

Maria Giuseppina Muratore
Italian National Institute of Statistics (Istat)

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Maria Giuseppina Muratore

Maria Giuseppina Muratore, Research Manager, works in Istat as expert on crime studies, justice statistics and violence against women. Responsible for victimization surveys and violence against women surveys, is also in charge, from 2017, of the Integrated System on Gender based Violence in Italy. Authors of many reports on crime, justice statistics, victimization and violence data, she addressed the crime topic from several point of views, data analysis, methodology, quality assessment of the processes at international and national level. She was member of many United Nation (UNECE, UNODC, UNSD, Centre of Excellence on Crime Statistics) and European (Eurostat, FRA, EIGE) task forces and Working/expert groups on crime statistics, crime classification (ICCS) and gender based violence.

Claudia Cappa
United Nations Children's Fund (UNICEF)

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Claudia Cappa

Claudia Villante
Italian National Institute of Statistics (Istat)

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Claudia Villante

Adrian Franco Barrios
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)

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Adrian Franco Barrios

Adrian Franco Barrios is Vice‐President of the National Institute of Statistics and Geography (INEGI) and responsible for the National Subsystem on Governance, Crime and Justice Statistics in Mexico. He holds a Master’s degree on Public Policy and Management from the University of Manchester in England; a Master’s degree in Public Administration from the Center for Economic Research and Teaching; and a Bachelor grade on Political Science and Public Administration from the National University of Mexico. Since 1997 he has held several management positions in the Federal Government of Mexico. He has also participated in projects with international organizations for different countries related with improvement and evaluation of governmental performance; transparency and anticorruption public policies; and design of statistical information, indicators, and evaluation systems

Elena Martellozzo
Middlesex University

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Elena Martellozzo

Organiser(s): Banco Mundial (BM); Gobierno de Paraguay, Paraguay; Agencia Nacional de Estadsticas de Zimbabwe (ZIMSTAT); Catholic Relief Services (CRS); Universidad de Cornell

This session focuses on the implementation of an innovative, ultra-high-frequency poverty monitoring system. Traditionally, gathering poverty-related data, including household income and expenditure, has been a labor-intensive and intricate process. Consequently, poverty data updates have typically been available only every seven years on average in low-income countries. However, recent initiatives are revolutionizing this practice by introducing ultra-high-frequency monitoring, with poverty estimates being updated as frequently as quarterly or even monthly. This advancement in poverty monitoring is particularly valuable in today's context of climate change, as well as escalating political and economic instability. It allows for more responsive and timely interventions, adapting quickly to changing circumstances. Ultra-high-frequency poverty monitoring offers significant advantages for policymakers and development partners, however, the practical implementation of such a system poses challenges. It is viable only if the associated costs of data collection are kept low and the measures employed are sensitive to short-term fluctuations. This balance is crucial to ensure that the system is both economically sustainable and effectively responsive to rapid changes in poverty levels. In this session, we delve into the pioneering efforts in establishing ultra-high frequency poverty monitoring. Our discussion is structured into four distinct but interconnected segments, to provide a comprehensive overview of the latest methods and experiences on frequent monitoring: (i) Establishing Ultra-Frequency Poverty Monitoring: We will introduce methodologies to establish a monitoring system capable of tracking poverty, household income, and expenditure within a single year. (ii) Quarterly Updates from Paraguay: We will hear from government officials from Paraguay about their experience with updating poverty metrics quarterly using the Quarterly Labor Force Surveys (QLFS). (iii) World Banks Experience with COVID-19 High Frequency Phone Surveys: The session will also cover the World Banks use of High Frequency Phone Surveys during the COVID-19 pandemic to monitor poverty fluctuations. These surveys, more cost-effective than standard household surveys, were particularly useful during lockdowns. However, we will also discuss the challenges inherent in phone survey data. (iv) Case Study: Using ultra-frequent data for Monitoring Performance of Projects in Malawi: Lastly, we will explore the use of ultra-high frequency poverty monitoring in evaluating project performance in Malawi. This monitoring, based on community-level data collection, is notably more cost-effective than phone interviews. It has provided critical insights into the impact of cyclones on poverty and food security, and the effectiveness of projects aimed at increasing household incomes, reducing poverty, and bolstering resilience against shocks.

Lina Cardona
World Bank (WB)

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Lina Cardona

Grown Chirongwe
Zimbabwe National Statistics Agency (ZIMSTAT)

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Grown Chirongwe

Dhiraj Sharma
World Bank (WB)

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Dhiraj Sharma

Juan Jose Galeano
Ministry of Finance, Paraguay

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Juan Jose Galeano

Organiser(s): Fondo de las Naciones Unidas para la Infancia (UNICEF); Banco Mundial (BM); Organizacin para la Cooperacin y el Desarrollo Econmico (OCDE); Universidad de Oslo; Oficina Nacional de Estadsticas (NSO-Tailandia)

This session explores how community-driven approaches to building data and technology capacity can effectively address the enduring need to narrow the digital divide and help usher in new frontier data and technology approaches that are efficient, sustainable, and stakeholder-driven. It will showcase experiences from several angles, including several prominent and very different data communities as well as a large national statistical office that has worked with data communities to push change management to its data and statistics processes. Communities and agencies include: 1) UNICEF Frontier Data Network, a global community of practice that partners with private sector, research, and academia to push the boundaries of how data and technology can positively impact results for children, 2) Development Data Partnership, a collaboration between a community of international organizations and technology companies that facilitates the efficient and responsible use of third-party data in international development, 3) DHIS2, an open source community supporting efficient management information systems for health data in over eighty countries, 4) Statistical Information Systems Collaboration Community, a reference open source community for official statistics built on a well-established co-innovation and co-investment model with nineteen national and international partners, and 5) the Thailand National Statistics Office, coordinator for the Thailand National Data and Statistical System with over 5000 staff in dozens of offices. Through interactive discussions and presentations from both within and without the communities, the session will delve into the strategies, tools, and collaborative efforts used by these communities to build and enhance data-related skills, knowledge sharing, and co-development. This 60-minute session will consist of: Introduction by moderator (5 min) Presentations by representatives on key initiatives, approaches, and success stories (25 min). Interactive Workshop (20 min): breakout groups led by representatives to discuss challenges and opportunities related to building data communities focusing on low-hanging fruit, centralized versus network approaches, generating external partnerships, and enabling senior champions. Summary of key insights and takeaways from the session (10 min) Expected outcomes include: Share experiences and case studies of successful capacity development initiatives within data communities. Explore innovative approaches and tools adopted by data communities to address the ongoing need for data skills development. Identify common challenges, lessons learned, and opportunities in creating sustainable, self-serve capacity development models. Foster collaboration and knowledge exchange among data communities to promote more effective capacity development practices. Discuss strategies for scaling up data capacity development efforts and ensuring their long-term sustainability.

Enzo Rossi
Devotta AS University of Oslo (UiO)

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Enzo Rossi

Jonathan Challener
Organisation for Economic Co-operation and Development (OECD)

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Jonathan Challener

Yves Jaques
United Nations Children's Fund (UNICEF)

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Yves Jaques

Miosotis Rivas Pena
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Miosotis Rivas Pena

Miosotis Rivas has held the position of General Director of the National Statistics Office of the Dominican Republic since August 2020. She has a degree in economics with master's degrees in Economic Policy, Gender and Development and Human Development. She has extensive work experience in the Central American and Caribbean region in matters of regional integration, development and public policies, public equality policies, gender mainstreaming and trade negotiations. She has worked closely in strengthening the Central American Integration System, recently as the Executive Director of the Regional Center for the Promotion of Micro, Small and Medium Enterprises (CENPROMYPE) and previously as the Technical Secretariat for Women of the Council of Ministers of Women of Central America, space from which he promoted the first regional gender equality and equity policy (PRIEG). She was a representative of UN Women in Dominican Republic and has vast experience as a lecturer in different universities. Active member of various feminist and Contemplative Extension spaces.

Viviana Canon Tamayo
United Nations Children's Fund (UNICEF)

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Viviana Canon Tamayo

Holly Krambeck
World Bank (WB)

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Holly Krambeck

Organiser(s): Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Entidad de las Naciones Unidas para la Igualdad de Gnero y el Empoderamiento de la Mujer (ONU Mujeres)

This session will highlight the stories of countries that have embarked on journeys of mutual learning and collaboration in leveraging administrative data for official statistics in areas such as engaging with administrative data holders to access data, assessing quality of the data and designing IT architecture to facilitate secure data sharing. These partnerships are examples of effective cooperation and knowledge exchange in advancing the use of administrative data for informed decision-making processes and are all linked to the work of the Collaborative on administrative data. Representatives from each country will take the stage to share their collaborative experiences, lessons learned, and impactful outcomes. Through engaging presentations and interactive discussions, participants will: Explore Partnership Dynamics - Gain insights into the collaborative dynamics between paired countries, including the motivations, challenges, and strategies employed to establish and maintain effective partnerships for harnessing administrative data. Showcase Collaborative Initiatives: Learn about the specific initiatives and projects undertaken by paired countries to strengthen their administrative data systems, improve data quality, and enhance statistical capacities in key areas such as the building of statistical registers, a robust IT infrastructure as well as data sharing agreements and legal frameworks. Highlight Mutual Learning and Exchange: Hear firsthand accounts of the mutual learning experiences between countries, including the exchange of best practices, methodologies, and technical expertise. This will also demonstrate the value in exchanging with "neighbors" and countries that have just recently gone through the same experience, as memory is still fresh and a very practical exchange is possible. Demonstrate Impact and Outcomes: Discover the tangible impacts and outcomes of collaborative efforts in harnessing administrative data for official statistics, including improvements in data accuracy, timeliness, relevance, and accessibility to support evidence-based policymaking and sustainable development goals. Reflect on Future Directions: Engage in reflective discussions on the lessons learned and opportunities for scaling up and sustaining collaborative partnerships in harnessing administrative data for official statistics beyond the initial pairing phase. Identify key priorities and strategies for advancing collective efforts in this critical domain. By showcasing these exemplary partnerships, this session aims to inspire and inform policymakers, statisticians, and data practitioners on the potential of collaborative approaches to unlock the value of administrative data for official statistics. This session celebrates the power of partnership and collective action in driving meaningful progress towards data-driven decision-making and inclusive development agendas.

Vebjorn Aalandslid
Statistics Norway

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Vebjorn Aalandslid

Vebjørn Aalandslid is a Senior Adviser in Statistics Norway, Division for Development Cooperation. He holds an MA in Politics from University of Warwick, UK. He has had different positions in Statistics Norway from 2000 up until today, the last years in international cooperation. In 2008 he held a position in Statistics Canada, and from 2009-2011 he was seconded to Eurostat, the statistical office of the European Union.

Karen Bett
Global Partnership for Sustainable Development Data (GPSDD)

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Karen Bett

Geoffrey Gichunji Kariuki
Kenya National Bureau of Statistics (KNBS)

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Geoffrey Gichunji Kariuki

Federico Segui
Instituto Nacional de Estadistica (INE-Uruguay)

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Federico Segui

Ottilie Mwazi
Namibia Statistics Agency (NSA)

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Ottilie Mwazi

Vibeke Oestreich Nielsen
United Nations Statistics Division (UNSD-DESA)

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Vibeke Oestreich Nielsen

Vibeke Oestreich Nielsen is an Inter-Regional Adviser on Statistical Training and Capacity Building at the UN Statistics Division, a role she has had since September 2018. Before that, she worked with Statistics Norway at the Division for Development Cooperation. Vibeke has over 12 years of experience working on capacity development within statistics and currently coordinates several projects including the UNSD-FCDO project on SDG Monitoring, the Collaborative on use of administrative data for statistical purposes, the Data4Now project, and the Global Network of Institutes for Statistical Training. She is also a member of the Steering Committee of the Expert Group on Refugee and IDP Statistics. Her subject matter knowledge covers a wide array of topics including vital and health statistics, statistics on forced displacement as well as the use of administrative data, questionnaire design, data analysis, and user engagement. Vibeke holds a master’s degree in Economics from the University of Oslo.

Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Estadsticas de Polonia; Environmental Systems Research Institute (Esri); Centro de Pensamiento Estratgico Internacional (Cepei)

Maximizar el valor de los datos para alcanzar los ODS requiere esfuerzos y alianzas innovadoras. Esta sesin explorar el papel fundamental de la relacin entre el sector pblico y el sector privado, en particular las asociaciones de datos pblico-privadas, en la promocin del desarrollo sostenible y la maximizacin del valor de los datos. Para esto, en un primer momento se tendr una conversacin entre los lderes de la poltica de datos de Colombia y Polonia para discutir sobre los retos a nivel de la articulacin entre los actores del ecosistema de datos. Adicionalmente, se dar un enfoque particular en los contextos locales de frica y Amrica Latina y una perspectiva adicional desde la mirada del sector privado. Reunir a expertos en datos, lderes de oficinas de estadstica, representantes del sector privado, miembros de la academia y otros actores clave para discutir los desafos y oportunidades en la maximizacin del valor de los datos a travs de la colaboracin intersectorial. La experiencia en la gestin de datos pblicos y la colaboracin con el sector privado proporcionar perspectivas valiosas sobre los desafos y las mejores prcticas en diferentes contextos regionales. A menudo percibido como una entidad homognea, el sector privado comprende diversas organizaciones que contribuyen a los ODS aportando informacin, tecnologa y conocimientos especializados. A pesar de estas contribuciones, la proliferacin de asociaciones pblico-privadas de datos no siempre es fcilmente discernible, y medir su impacto sigue siendo un reto formidable. Esto se dificulta an ms en un ecosistema de datos a nivel nacional y donde los pases buscan establecer, fortalecer y volver operativa la infraestructura de datos que permita proveer ms valor y servicios a sus ciudadanos.

Phillip Schonrock
Centro de Pensamiento Estrategico Internacional (Cepei)

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Phillip Schonrock

Julieth Solano
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Julieth Solano

Saul Kattan
National Data Committee (CND)

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Saul Kattan

Esteban Gallego Restrepo
Comfenalco

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Esteban Gallego Restrepo

Dominik Rozkrut
Statistics Poland

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Dominik Rozkrut

Ana Catalina Ochoa Yepes
Departamento Administrativo de Planeacion de Medellin

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Ana Catalina Ochoa Yepes

Organiser(s): Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Alianza en Estadsticas para el Desarrollo en el Siglo XXI (PARIS21); Entidad de las Naciones Unidas para la Igualdad de Gnero y el Empoderamiento de la Mujer (ONU Mujeres)

Introduction: Equal Measures 2030 (EM2030) is a coalition of national, regional, and global leaders from feminist networks, civil society, international development, and the private sector. We connect data and evidence with advocacy and action on gender equality to transform the lives of women and girls and realize the Sustainable Development Goals (SDGs). Our data ecosystem leverages global, regional, and national measures, reusing data produced by National Statistics Offices, international organizations, civil society organizations, academia, etc. This data is combined with contextual information from our coalition members for advocacy purposes. We also train journalists and data activists to use data from a feminist perspective to expose gender inequalities across all SDGs. In 2023, through a joint initiative with Salesforce, we launched the second Data Fellowship for 8 journalists and 3 activists from Latin America. Fellows were selected through a competitive process and awarded a Tableau license, training, and a stipend. The training included virtual modules on using Tableau and tailored support for their stories. We also connected them with other members of the data ecosystem, including thematic experts, journalists, and activists. Revised Session Focus: the presentation will be part of a larger session on data use by journalists. The Data Fellowship Coordinator and one journalist will share their data journey, achievements, challenges, and practical tips for using data in engaging formats. The expected time of the presentation is 15 minutes Objectives: To discuss the achievements and challenges faced by data journalists in the program. To offer practical tips on storytelling, visualizations tools and collaboration through concrete examples for presenting data in engaging and accessible formats. By sharing the journey, achievements, and challenges of the Data Fellowship Program, we hope to demonstrate the transformative power of data journalism in promoting gender equality.

Marisa Miodosky
Equal Measures 2030

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Marisa Miodosky

Marisa Miodosky is an Argentine political scientist, specialized in public policies with a gender approach. With a Fulbright scholarship, she got an MA in International Sustainable Development from the Heller School of Social Policy, Brandeis University. She has worked for more than twenty years on social development issues in civil society organizations and international organizations, such as the World Bank, the Inter-American Bank and the UK Foreign Office. Since 2016, she works for the government of the City of Buenos Aires, where she coordinated the City's Gender Equality Strategy 2018-2020. In this role, she was in charge of mainstreaming the gender perspective in the City's administration through the use of the Gender Indicator System. For this work, she and her team were awarded the 2019 Best International Civil Service Award promoting Equality by Apolitical, an organization that in 2021 also selected her as one of the 100 most influential people in the world in terms of gender policies. Since 2021 she provides advice to the Buenos Aires City Statistics Department on gender and data. She also teaches gender and evidence for public policies at the Di Tella University.

Organiser(s): Universidad Nacional Mayor de San Marcos; Universidad de los Andes; Universidad Nacional de Colombia

INTRODUCCIN A nivel mundial, muchos pases estn liderando el camino en la adopcin y desarrollo de plataformas de Big Data que es un conjunto de datos masivos, abiertos y complejos que provienen de una variedad de fuentes e incluye desde registros e informes gubernamentales hasta transacciones y estadsticas comerciales. La accin propuesta busca implementar una herramienta virtual colaborativa que contenga de manera ordenada y sistemtica la mayor cantidad de datos libres existentes en el pas permitiendo a los investigadores (docentes y alumnos) obtener con mayor eficiencia la informacin centralizada en una sola plataforma accesible y as fomentar la colaboracin y cocreacin en diversas investigaciones acadmicas. Se espera, que el desarrollo de esta plataforma fomente la realizacin de investigaciones cualitativas que permitan a los docentes y alumnos de pregrado o postgrado desarrollen sus tesis para la obtencin de sus grados acadmicos. Otro resultado esperado, es el desarrollo de manuscritos inditos para su posterior presentacin a revistas indexadas. Open Data Punku Yachay, que significa puerta del saber en quechua, tiene el potencial de impulsar el desarrollo cientfico y tecnolgico de la universidad y el pas, generando un impacto positivo en la comunidad universitaria para el avance en la investigacin e innovacin. En el contexto de la educacin superior peruana, los estudiantes de pregrado y posgrado de la UNMSM deben realizar tesis y/o investigaciones que sean relevantes para su campo de estudio y aporten nuevo conocimiento en base a informacin cuantitativa fiable y actualizada. Sin embargo, actualmente los investigadores de la comunidad sanmarquina se enfrentan a la carencia de una plataforma centralizada que recopile informacin cuantitativa requerida por los estudiantes. Este dficit se acenta an ms en el caso de tesis de posgrado (maestra y doctorado), donde adems se exige su publicacin en revistas de alto impacto. Este vaco se vuelve an ms relevante en un contexto global en el que varios pases han implementado soluciones de Big Data con xito para acelerar la innovacin y mejorar la competitividad en diversas industrias. Por lo mismo, Open Data Punku Yachay busca ser la solucin a este problema al promover el desarrollo cientfico y tecnolgico en la universidad con un amplio sistema de almacenamiento de informacin para todas las reas del saber, al tiempo que fomenta la colaboracin entre investigadores siguiendo la tendencia global de aprovechar su potencial para el avance en la investigacin e innovacin. / In Latin America, where close to 80% of the total population lives in cities, rapid urbanization and urban sprawl are some of the main challenges to face. This rapid urbanization also carries a series of social, economic, environmental, and land impacts that must be tackled by policymakers and urban planners. In this context, decision-making requires robust tools to analyze heterogeneous data sources to aid the diagnosis, formulation, and evaluation of urban policies. However, differences in data infrastructure, formats, quality, and aggregation levels, among others, make it difficult to evaluate and integrate multisource data, especially for the average decision-maker. As a result, many cities struggle to understand land dynamics and the needs of their population, which in turn diminishes the capabilities to design proper policies. Hence, there is a need for robust frameworks to make better use of available data for decision-making. This study aims to fill some of these gaps by developing a tool that integrates multidimensional data to create indicators based on the concept of liveability, which is then used to support the diagnosis and evaluation of urban interventions and policies. Liveable spaces are described as safe, socially cohesive, inclusive, sustainable, affordable, and accessible, and include a set of opportunities that meet the needs of the population. In addition, liveability analysis must consider both the built and natural environment, while considering factors associated with the perceptions of the population toward these spaces, which shape behavior and interactions. Then, we argue that liveability indexes can be used to measure the quality of urban areas, and can be used for project appraisal and design, underscoring their relevance in decision-making. Constructing liveability indexes and related analysis requires mixing diverse data generally available in Colombian cities to measure its multiple dimensions. As a case study, we formulate a liveability index for Bogot through factor analysis and clustering techniques making use of 25 spatial indicators from several sources related to 5 domains: mobility, housing and jobs, social infrastructure, and security. In addition, we build a simulation tool to estimate the liveability scores if changes in the indicators are evidenced, and an open platform to visualize the results, which is used for diagnosis and evaluation of urban areas that can be used by citizens, planners, and decision-makers. These highlights the relevance of appropriate data use for decision-making by providing an empirical case study for a big Latin American city. The project contributes to the Cape Town Global Action Plan for Sustainable Development Data by providing tools for coordination, accountability, and cooperation for the different stakeholders involved in the urban planning process and decision-makers, using diverse data for novel evaluations based on sustainable development criteria.

Luis A. Guzman
Universidad de los Andes

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Luis A. Guzman

Giovanna Chuchon Ochoa
Universidad Nacional Mayor de San Marcos

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Giovanna Chuchon Ochoa

Olga L. Sarmiento
Universidad de los Andes

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Olga L. Sarmiento

Organiser(s): Programa de las Naciones Unidas para el Desarrollo (PNUD) / Universidade Federal do Rio Grande do Sul / Programa de las Naciones Unidas para el Desarrollo (PNUD) / Consumers International; Visa

The Vietnam Provincial Governance and Public Administration Performance Index (PAPI) is an annual survey that measures citizens' experiences and views on how their local governments perform and improve in governance, public administration, and service delivery. PAPI covers eight dimensions of government performance and functions, such as participation, transparency, accountability, control of corruption, public procedures, service delivery, environmental governance, and e-governance. PAPI was initiated in 2009 by UNDP and its national partners, and has interviewed more than 190,000 citizens from the age of 18 years old, with all demographic and ability/disability backgrounds, in all 63 provinces of Vietnam. PAPI provides data and evidence for policy dialogue and reform, and for enhancing the role of citizens in policymaking and development. PAPI also fosters a culture of evidence-based policymaking and citizen engagement, and enhances the transparency and accountability of the public sector. PAPI has produced more than 1,000 reports and publications, and has been widely disseminated and discussed in various forums and events. PAPI has also inspired and influenced many stakeholders and partners, both within and outside Vietnam, to use its findings and methodology for various purposes and objectives. PAPI has informed and influenced policy-making and sectoral agencies, and has generated momentum towards improved government performance. PAPI has inspired and influenced many stakeholders and partners, both within and outside Vietnam, to use its findings and methodology for various purposes and objectives. PAPI has been shared with other countries, such as Tunisia, Cambodia, Laos, Indonesia, and Myanmar, to measure and improve their governance and public administration performance. PAPI is a living and evolving tool that we should all continue to support and improve. PAPI is not only a tool for measuring and monitoring, but also a tool for learning and innovating. PAPI is not only a tool for informing and influencing, but also a tool for empowering and engaging. PAPI is not only a tool for the government, but also a tool for the people in Vietnam to boost innovation and reform in the public sector, to assist Vietnam in monitoring its commitments to Sustainable Development Goals, especially Goal 16 on Peace and Strong, Inclusive Institutions. For more information about this UNDPs flagship governance assessment tool in Vietnam, visit www.papi.org.vn/eng. / This project investigates the role of the 5Ps ['People', 'Planet', 'Prosperity', 'Peace', and 'Partnership'] in Agenda 2030, specifically their relationship with the SDGs. We challenge mainstream interpretations of this relationship to better guide action towards the goals, overcome fragmentation, and detect synergies and trade-offs among SDGs. We propose a value-based, integrated, multidimensional lens for reading this interaction, interpreting the Agenda and SDGs as synergically related to all the Ps. Introduction: Agenda 2030 presented 17 SDGs as integrated and indivisible, aimed at balancing sustainable development's economic, social, and environmental dimensions. However, lack of integration remains a challenge. This paper contributes to the effort of reimagining and reinterpreting Agenda 2030 by questioning the role of the 5Ps and their relationship with the SDGs. 5Ps as an Integrated Lens: The 5Ps, often seen as legally non-binding, have a crucial hermeneutic role in interpreting the Agenda. This paper regards them as core values, functioning like a multidimensional prism that orients the interpretation of the Agenda as a whole and the implementation of all SDGs. These values emphasize the interconnectedness of the SDGs, both substantially (People, Planet, Prosperity) and procedurally/contextually (Peace and Partnership), integrating them into a cohesive body. Interpreting the SDGs Through the 5Ps Lens: Each SDG should be understood from the perspective of each P, contrasting the mainstream approach of isolated categorization. The hereby proposed integrated lens suggests viewing the 5Ps as deeply interconnected, and the SDGs as multidimensional, offering a three-dimensional understanding of Agenda 2030. This lens presents the Agenda as a context-based array where society, environment, and economy are assessed in relation to each particular situation, considering socio-political contexts. Conclusion: The hereby proposed 5P 'lens' is a critical tool to rethink the internal and external connections between the goals and their legal-political environment. It offers a comprehensive, nuanced perspective on the SDGs, moving beyond fragmented interpretations to a more integrated and holistic understanding of Agenda 2030. / Collective intelligence (CI) refers to the synergy of knowledge, skills, and ideas from diverse individuals working together towards a common goal. This session will focus on the potential impact that leveraging the collective wisdom of communities, organizations, and societies can have in overcoming the complex challenges posed by the SDGs. By tapping into a wealth of perspectives, experiences, and expertise, this inclusive approach provides a "bottom-up" approach to sustainable development that allows local communities and individuals to actively participate in the decision-making processes that shape their own development. To demonstrate CIs effectiveness in problem-solving, decision-making, and resource optimization, the UNDP Accelerator Lab from South Africa will present a case study in which it contributed towards the countrys Just Energy Transition (JET) strategy, a long-term plan to decarbonise the electricity system and support a pathway to climate resilient development. While Transition describes the gradual movement towards lower carbon technologies, Just qualifies that this transition will not negatively impact society, jobs and livelihoods. It is this just element that the Lab contributed towards by gathering intelligence from those most vulnerable to the national shift towards net-zero emissions, coal mining communities. This intelligence was used to generate the following objectives: Providing a platform for people to share their views and perceptions on the JET and its potential effect on their livelihoods. Create a mechanism to report findings to the relevant parties responsible for the JET and ensure that miners and communities preferences are considered in the planning and implementation of the transition. To support enhanced public participation and awareness around the JET and climate change, generate a public debate, and create a platform for coal miners and surrounding communities to voice their opinions on what change and interventions they would like to see regarding alternative livelihoods. To contribute to the Governments JET efforts and ongoing initiatives to ensure its implementation is bottom-up, i.e., inclusive, and people-centered to leave no one behind, especially the most vulnerable. Codifying collective learning on climate change and the practice of Collective Intelligence / This session will focus on consumer trust as a fundamental building block for data infrastructures. Consumer data from private sector actors is seen as central to future data ecosystems for policymaking and delivering the SDGs, but legitimate concerns about misuse and privacy risks can reduce its availability. We will look at how governments can increase consumer trust on data flows and use by statistics authorities by improving the exercise of data rights and redress mechanisms if things go wrong. The main output of the session will be a presentation of our toolkit of practical recommendations for building trust by operationalising the interoperability of redress and rights across data governance regimes. We will also discuss how consumer organisations can facilitate the availability of non-traditional data sources from the private sector. The consumer data required for delivering sustainable development and the public good is not only held by private entities, but increasingly this data often flows across jurisdictions through cross-border provision of goods and services. Understanding the volumes and value of cross-border data flows is a well-known challenge for national and international data bodies. This is particularly the case with internal data transfers within groups of businesses. Mechanisms that increase consumer trust can also help bring more transparency over cross-border data flows. The proposals presented are the result of a research collaboration between Consumers International and Visa. We will discuss our findings on challenges and best practices for consumers to exercise their digital rights and obtain redress. We will present three case studies involving a variety of industries, jurisdictions and consumer requirements. Consumer organisations are generally trusted with their tests and assessments of products and services and are in a unique position to help enable better uses of private sector data for public good while ensuring adequate safeguards. In addition, the line between consumer and public data is increasingly blurred, for example in the development of Digital Public Infrastructure of public identity and payments systems to be used by private entities. We will be seeking contacts for further collaborations as an outcome of the session.

Francisco Javier Ruiz Diaz
Consumers International

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Francisco Javier Ruiz Diaz

Huyen Do Thanh
United Nations Development Programme (UNDP)

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Huyen Do Thanh

Matheus Leichtweis
Universidade Federal do Rio Grande do Sul

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Matheus Leichtweis

Evan Jacobs
United Nations Development Programme (UNDP)

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Evan Jacobs

Organiser(s): Por Confirmar

Organiser(s): CBM Global Disability Inclusion; Alianza Internacional de Discapacidad; Federacin Mundial de Sordos; Universidad Fordham; Universidad de los Andes; Grupo de Interesados en Discapacidad; Fundacin Saldarriaga Concha; Inclusin SAS

Persons with disabilities are among the most marginalized groups in society, yet there is a lack of data on their barriers and enablers. Inaction or indifference towards their exclusion limits their access to social goods and services, resulting in higher poverty levels and fewer development opportunities. These outcomes stem from exclusionary environments and policies, not personal conditions. Eleven out of the 231 global Sustainable Development Goal (SDG) indicators are explicitly disability inclusive, but few can be disaggregated by disability, making persons with disabilities one of the groups most left behind in the 2030 Agenda implementation. To address this, we need robust and accessible data on persons with disabilities, and to ensure their inclusion and that of their representative organizations in the data value chain. Citizen-generated data, including efforts led by organizations of persons with disabilities, must complement official statistics to address critical data gaps. Data must reflect the reality of persons with disabilities and be harmonized to create effective evidence-based policies to achieve the SDGs and beyond. The objectives of this session are linked to the theme of inclusive and sustainable development data to: Strengthen and expand data on persons with disabilities to effect policy change. Support the development of methodology and standards for disability statistics, including citizen-generated data. Share critical evidence from organizations of persons with disabilities and allies in the data value chain. Measure the level of social and productive inclusion of persons with disabilities. Share a good example of collaboration between the third sector and the government to measure the inclusion of persons with disabilities at a national level. Promote knowledge sharing and management around improving the quality of life of the population with disabilities. This session will: Provide global case studies on how organizations of persons with disabilities and allies have led inclusive data processes to fill critical data gaps. Present lessons learned from intersectional data in deaf-led research among deaf Indigenous women in Bolivia. Share findings using national censuses and household surveys on (1) the availability of disability data using the Washington Group Short Set and similar questions; and (2) disability-related inequalities and their implications. Provide a comprehensive summary, practical uses, and methodology of an indicator to monitor the social and productive inclusion of persons with disabilities in Colombia. Share a successful example of a public-private partnership in data production.

Monica Pinilla-Roncancio
Universidad de los Andes

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Monica Pinilla-Roncancio

Lina Maria Gonzalez Ballesteros
Fundacion Saldarriaga Concha

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Lina Maria Gonzalez Ballesteros

Pamela Molina
World Federation of the Deaf

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Pamela Molina

Francisco Espinosa
Inclusion SAS

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Francisco Espinosa

Juan Angel De Gouveia
Red Latinoamericana de Organizaciones de Personas con Discapacidad y sus Familias (RIADIS) / The Latin American Network of Non-Governmental Organizations of Persons with Disabilities and their Families

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Juan Angel De Gouveia

Pamela Molina
World Federation of the Deaf

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Pamela Molina

Organiser(s): Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); Instituto Nacional de Estadstica de Italia (Istat); Oficina de las Naciones Unidas contra la Droga y el Delito (UNODC); Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Entidad de las Naciones Unidas para la Igualdad de Gnero y el Empoderamiento de la Mujer (ONU Mujeres); Oficina Nacional de Estadstica (ONE-Repblica Dominicana); Point of View; Marialab Hackerspace; TechHER; Lnea de Apoyo a Luchadoras

In this session, speakers from International Organizations and National Statistical Offices will exhibit new advances on measuring violence against women and new strategies for responding to technology-facilitated gender-based violence in the Global South that mobilises small data. One set of speakers will show the use of different statistical methods to collect and produce data to provide a better understanding of the nature, magnitude, and consequences of violence against women and girls from global, regional, and local perspectives. Some of the examples are the experiences of countries applying the guidelines for producing statistics on violence against women, the international classification of crime for statistical purposes, and the statistical framework for measuring the gender-related killing of women and girls (also referred to as "femicide/feminicide"). Another set of speakers from Global South nonprofits, providing services like digital safety helplines, will demonstrate the legitimacy of small data that centres lived experiences, data, evidence and situated knowledge to make a case for the inclusion of this data in mainstream definitions and response systems for addressing Technology facilitated Gender-Based Violence. These helplines serve as first responders to survivors of TfGBV on a daily basis, thereby holding a vast repository of knowledge and evidence based on lived experiences. The speakers will share how this knowledge has shaped their own response practices as well as the importance of relying on small data to incorporate contextual nuance, and inclusion for relevant and effective accountability, response, research and decision-making frameworks. This session will demonstrate a broad range of different data collection methods to better understand the nature, prevalence and impact of gender-based violence and consequently better inform response. This session will contribute with different examples, to achieve sustainable development goals by eliminating violence against women, and how the use and value of data is relevant for decision making efforts to close data gaps. This is also intended to strengthen and expand data on all groups of the population, rooted in diverse contexts and realities of women and gender minorities in the global south, to ensure that no one is left behind. There is increasing evidence of the wide prevalence and diversity of experiences that constitute TfGBV in the Global South.

Maria Giuseppina Muratore
Italian National Institute of Statistics (Istat)

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Maria Giuseppina Muratore

Maria Giuseppina Muratore, Research Manager, works in Istat as expert on crime studies, justice statistics and violence against women. Responsible for victimization surveys and violence against women surveys, is also in charge, from 2017, of the Integrated System on Gender based Violence in Italy. Authors of many reports on crime, justice statistics, victimization and violence data, she addressed the crime topic from several point of views, data analysis, methodology, quality assessment of the processes at international and national level. She was member of many United Nation (UNECE, UNODC, UNSD, Centre of Excellence on Crime Statistics) and European (Eurostat, FRA, EIGE) task forces and Working/expert groups on crime statistics, crime classification (ICCS) and gender based violence.

Alicia Reynoso
Luchadoras

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Alicia Reynoso

Miosotis Rivas Pena
Oficina Nacional de Estadistica (ONE-Republica Dominicana)

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Miosotis Rivas Pena

Miosotis Rivas has held the position of General Director of the National Statistics Office of the Dominican Republic since August 2020. She has a degree in economics with master's degrees in Economic Policy, Gender and Development and Human Development. She has extensive work experience in the Central American and Caribbean region in matters of regional integration, development and public policies, public equality policies, gender mainstreaming and trade negotiations. She has worked closely in strengthening the Central American Integration System, recently as the Executive Director of the Regional Center for the Promotion of Micro, Small and Medium Enterprises (CENPROMYPE) and previously as the Technical Secretariat for Women of the Council of Ministers of Women of Central America, space from which he promoted the first regional gender equality and equity policy (PRIEG). She was a representative of UN Women in Dominican Republic and has vast experience as a lecturer in different universities. Active member of various feminist and Contemplative Extension spaces.

Adrian Franco Barrios
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)

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Adrian Franco Barrios

Adrian Franco Barrios is Vice‐President of the National Institute of Statistics and Geography (INEGI) and responsible for the National Subsystem on Governance, Crime and Justice Statistics in Mexico. He holds a Master’s degree on Public Policy and Management from the University of Manchester in England; a Master’s degree in Public Administration from the Center for Economic Research and Teaching; and a Bachelor grade on Political Science and Public Administration from the National University of Mexico. Since 1997 he has held several management positions in the Federal Government of Mexico. He has also participated in projects with international organizations for different countries related with improvement and evaluation of governmental performance; transparency and anticorruption public policies; and design of statistical information, indicators, and evaluation systems

Angela Me
United Nations Office on Drugs and Crime (UNODC)

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Angela Me

Angela Me is the Chief of the Research and Trend Analysis Branch at the United Nations Office on Drugs and Crime where she oversees global, regional and national research in the areas of drugs and crime. She is responsible for global reference research publications such as the World Drug Report, the Global Report on Trafficking in Persons, the Global Study on Homicide, and the World Wildlife Crime Report. While working for the United Nations since 1995, she has supported countries to improve their statistical and analysis systems, and she has authored, contributed and supervised the production of UN analytical reports, international statistical standards, discussion papers, and inter-governmental documents in the areas of drugs, crime, population, gender, disability, and migration. She has served in the Scientific Committee of the European Agency for Fundamental Rights. As an Italian national, Ms. Me holds a Ph.D. in statistics from the University of Padua in Italy.

Jemimah Inyangudo
Tech Project Women Initiative (TechHerNG)

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Jemimah Inyangudo

Sashwati Banerjee
Point of View

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Sashwati Banerjee

Organiser(s): CivicDataLab; Fundacin Lloyd's Register; Wellcome Trust; Open Contracting Partnership; Gallup, Inc.; The 2035 Initiative at the University of California Santa Barbara; Universidad del Sur de California; Programa de las Naciones Unidas para el Desarrollo (PNUD), Oficina del Informe sobre Desarrollo Humano (HDRO)

In 2023 United Nations climate change conference (COP28), the international community announced the long-awaited loss & damage fund for communities most vulnerable to the climate crisis. But, most national & sub-national governments & other stakeholders struggle to collate datasets related to climate change and disaster management, and these often lack the necessary good quality & interoperability. This posses a major challenge in front of countries and governing bodies working on loss & damage fund, to harness data-driven decision-making and unlock climate financing mechanisms. To solve for this, various open data collaboratives across the globe are developing mechanisms to bring together satellite & environmental data, social & economic demographic data, infrastructure data, loss & damages data and government response data. Such collaborative approach of encapsulating climate data ecosystem can ensure that public funds and resources are more accurately directed to those most vulnerable population in need and support sustainable, resilient development. In this panel, we will learn more about such Climate Data Ecosystems being developed across the globe and understand various related use-cases being developed like - disaster risk-reduction, green public finance management, sustainable public procurement, river-basin management and more. We will also understand challenges and opportunities related to data governance, data standardisation, data sharing, data AI-readiness and more. We will also explore how various stakeholders, especially citizen groups, are able to regularly interact with Climate Data Ecosystems and provide their timely feedback. We hope this session will help participants understand core principles and some best practices to start co-creating and engaging with Climate Data Ecosystems in their geography, and help identify novel datasets and emerging techniques to help strengthen our collective climate action efforts. Lastly, we also hope with this discussion, more countries and their statical offices will be able to engage and prioritise active development of Climate Data Ecosystems to strengthen climate resilience in their target geographies.

Nancy Hey
Lloyd?s Register Foundation

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Nancy Hey

Admir Jahic
United Nations Development Programme (UNDP)

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Admir Jahic

Gaurav Godhwani
CivicDataLab

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Gaurav Godhwani

Felipe J Colon-Gonzalez
Wellcome Trust

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Felipe J Colon-Gonzalez

Nashin Mahtani
Yayasan Peta Bencana (Disaster Map Foundation)

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Nashin Mahtani

Oscar Hernandez
Open Contracting Partnership

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Oscar Hernandez

Organiser(s): Internet Society (ISOC) - Grupo de Jvenes; Coalicin Juvenil para la Gobernanza de Internet (IGF); Consorcio de Apoyo a las Acciones para la Promocin y el Desarrollo de frica; Fondo de las Naciones Unidas para la Infancia (UNICEF)

In an era of both rapid technological advancement and a heightened call to action around adolescent girls rights, it is essential to ensure age-appropriate protection and ethical considerations, inclusive methodologies and technologies and trust-building in evidence-to-action pathways. These pathways must place the rights and interests of adolescent girls and young people at the centre by all actors, and on all data platforms. The session will explore different aspects of data generation and use with and for young people, with a focus on adolescent girls. Based on two independent studies conducted by UNICEF in West and Central Africa and the Internet Society Youth Standing Group; Youth Coalition of Internet Governance/Consortium dAppui aux Actions pour la Promotion et le Developpement de lAfrique, the expected outcome of the panel is to generate discussion around ways to ensure ethical data collection about, and safety of, adolescent girls in research and empower youth to advocate for ethical data governance in line with the Cape Town Global Action Plan. Following brief presentations of each study, a moderated panel discussion will be held around two main questions: 1. What practices and/or key messages to engage and protect young people when collecting data and for them? , and 2. How best to use and share data on young people in ways that are transparent, inclusive, and directly benefit them? Lessons learned around adapting methodologies and safeguarding for adolescent girls, privacy and accountability by design strategies, best practices on youth involvement in policy/decision-making and co-creation of research-to-action processes will be shared. The session will be moderated by one of the proposed speakers, with three principal segments: 1. Brief presentation of studies (3 speakers); 2. Question 1 (2 speakers); 3. Question 2 (2 speakers); Wrap up (moderator).

Umut Pajaro Velasquez
Youth Coalition of Internet Governance (IGF)

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Umut Pajaro Velasquez

Shelly Natasha Abdool Zerezeghi
United Nations Children's Fund (UNICEF)

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Shelly Natasha Abdool Zerezeghi

Athanase Bahizire
Consortium d'Appui aux Actions pour la Promotion et le Developpement de l'Afrique

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Athanase Bahizire

Laura Victoria Ram
Internet Society (ISOC) - Youth Standing Group

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Laura Victoria Ram

Denise Leal
Steering Committee Member

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Denise Leal

Organiser(s): Oficina del Secretario General de las Naciones Unidas (EOSG); Global Pulse de las Naciones Unidas (UNGP); Departamento de Estado de los Estados Unidos de Amrica; Servicios de Socorro Catlico (CRS); Autoridad Intergubernamental sobre el Desarrollo (IGAD); Proyecto de Ubicacin y Acontecimientos de Conflictos Armados (ACLED)

In an era where global crises are becoming the norm, the need for a united, action-oriented approach to harness data, analytics, and AI for crisis action has never been more urgent. This isn't just another talk on the potential of technology; it's a practical blueprint for breaking down silos and building a data ecosystem that truly works for crisis anticipation, mitigation, and response. Join us for a 60-minute deep dive with leaders from DISHA (Data Insights for Social and Humanitarian Action) and CRAF'd (Complex Risk Analytics Fund), the two key data partnerships associated with the UN Secretary-General's Office, as we explore real-world applications and success stories of how data and AI are being leveraged right now to tackle global challenges. Discover how partnerships across UN Member States, NGOs, academia, and tech pioneers are critical to unlocking this potential, making data work not just smarter, but together. This session isn't a call to listenit's a call to action. It's about moving beyond individual efforts to a cohesive strategy that leverages the collective strengths of all stakeholders. Learn how you can be a part of this transformative journey toward a more sustainable and resilient future through ethical, inclusive, and innovative data collaborations. Participants can expect: Insight into cutting-edge data, AI, and ecosystem breakthroughs: Experience firsthand the impact of data and AI breakthroughs in addressing global crises through tangible impact stories from DISHA, CRAF'd, and their partners. Strategies for Collaboration: Get introduced to a blueprint for implementing broader global initiatives like the Secretary-General's Our Common Agenda, the Global Digital Compact, UN 2.0 Quintet of Change, and the Early Warnings for All initiative through ecosystem partnerships that champion open knowledge sharing and innovation. A Call to Action: Learn how to contribute to a global movement towards better crisis anticipation, prevention, and response through strategic data partnerships. The session will be hosted by: DISHA is a multi-partner initiative under the UN Secretary-General's Innovation Lab, UN Global Pulse, that builds a platform for ethical and scalable access to data and AI models, aiming to generate actionable insights for better crisis action. CRAF'd is the first and only multi-partner instrument to finance, connect, and reimagine data to save lives. Driven by the conviction that data, analytics, and AI can help global partners better anticipate, prevent, and respond to the complex risks facing people and the planet in moments of crisis. Who should participate: Anyone committed to making a difference in the world's response to criseswhether from a UN entity, an NGO, academia, or the tech industry. If you believe in the power of data and AI, and more importantly, in the power of collaboration to unlock that power, this session is for you.

Erin Miller
Armed Conflict Location and Event Data Project (ACLED)

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Erin Miller

Antje Lehmann
United Nations Complex Risk Analytics Fund (UN CRAF'd)

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Antje Lehmann

Organiser(s): Red sin Violencia LGBTI; Alianza Global para los Datos del Desarrollo Sostenible (GPSDD); Colombia Diversa; Consultora para el Desarrollo Social Equilibrium (SDC)

In order to achieve equitable and sustainable development, guaranteeing the needs of LGBTIQ+ people in public policies and legislative reforms is necessary. Generating accurate and representative data in a systematic and coordinated way is vital for informed decision making, policy design, and reporting. Having better data on LGBTIQ+ people is essential to effectively address human rights violations. Despite efforts, there is still no coordination among States to collect information on such events. To effect change, this session includes perspectives from civil society (CSOs), private sector, statistics institutes, academics, human rights institutions, multilateral organizations, and other stakeholders to discuss the need for collaboration and coordination for better LGBTIQ+ data. We recognize the existence of diverse initiatives, including the work from: 1. The Global Partnership for Sustainable Development Data: A global network of 700+ organizations working towards inclusive, accountable, and timely data. They promote the CGD approach, making inclusive data the norm and putting all people at the center of data production. 2. The Network Sin Violencia LGBTI: Comprising 10 civil organizations from Latin America and the Caribbean, monitoring homicides of LGBTIQ+ people to promote access to justice and prevention policies. 3. Equilibrium: A private sector company focused on socioeconomic and market research within the Latin American region. They provide evidence-based insights to diverse stakeholders in the development sector, with expertise in working with hidden populations, including the LGBTIQ+ community. 4. Colombia Diversa: A non-governmental organization that has been working for LGBTIQ+ people in Colombia for 20 years, preparing reports on violence against this population and developing advocacy and strategic litigation actions based on the production of this data. While acknowledging their work and other existing exercises, we created this session as a space for dialogue and a call to action. It is open to all interested in producing/using information to guarantee rights and improve the lives of LGBTIQ+ people. This entails consolidating existing data systems and statistical institutes, recognizing the importance of incorporating various stakeholders in the production of official statistics, and looking beyond traditional models of data production to consider diverse differential views.

Sara Rocha
University of Cambridge / Global Partnership

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Sara Rocha

David Granada
Equilibrium

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David Granada

Roberto Castilla
National Statistics Institute of Ecuador (INEC-Ecuador)

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Roberto Castilla

Karen Chavez
Global Partnership for Sustainable Development Data

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Karen Chavez

Karen Anaya
Red Sin Violencia

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Karen Anaya

Organiser(s): 3isolution / Organizacin de las Naciones Unidas para la Educacin, la Ciencia y la Cultura (UNESCO) / Ernst & Young; Compartamos con Colombia; Aldeas Infantiles

Esta presentacin se enfoca en la importancia del uso de informacin cualitativa paracomplementar la informacin en la identificacin de riesgos de proteccin de Nios, Nias yAdolescentes y proveer una mejor comprensin del contexto. Se presentarn lineamientos yrecomendaciones prcticas para la recoleccin y sistematizacin de datos cualitativos mediantecartografa social, entrevistas y grupos focales. Estos mtodos permiten llenar vacos deinformacin identificados en el proceso, contextualizar los riesgos de proteccin, y mejorar eluso de este tipo de evidencia en la toma de decisiones. / This igniting talk by the Director of the Global Education Monitoring Report during the World Data Forum will explore initiative models for using multiple data sources so as to better understand education progress. The presentation will explain the new way that UNESCO is monitoring out-of-school and completion rates, calculating time series by country and region and addressing challenges of timeliness and consistency commonly associated with administrative and survey data. Computing the out-of-school rate relies on the use of?administrative data?capturing student enrollment by age and sex, collected and disseminated by Ministries of Education. As a direct source, these data should in theory provide a gold standard for estimating the out-of-school rate and other enrollment indicators. However, there are challenges involved with this type of data. Many countries do not currently have the data infrastructure necessary to produce complete and reliable enrollment counts. Secondly, population estimates must be sourced separately from administrative enrollment counts resulting in inconsistencies. Alternatively,?survey data?can be used to compute the out-of-school rate. Household surveys typically include questions regarding the attendance status of children and young people in the household. However, survey data have their own set of challenges. Survey providers have distinct approaches and samples, creating the possibility of inconsistencies. Household surveys are also infrequent and thus require methods that can produce estimates in between waves. The distinct challenges faced by the two sources of data necessitate approaches that can?consolidate?out-of-school rate information?from a variety of sources and produce complete and coherent estimates. To fulfill this need, the UIS and the GEM Report have developed a?new statistical model?to estimate out-of-school rates, which are visualized on the VIEW website here. This tactic has increased the share of countries where we have data from 62% to 98%. This innovative approach provided new numbers on how many children were out of school in 2022 in countries such as Nigeria, Ethiopia and Kenya that had not had data for over a decade. This presentation will discuss these new estimates which are updated annually at the start of September and explain the thinking behind the decisions made to address the challenges in modelling this specific indicator which has far-retching implications for education decision makers working at the national, regional and international levels. The presentation will also highlight ongoing work by the GEM Report and UNESCO Institute for Statistics combining data sources on education spending in order to increase data coverage. This includes evolving efforts to fill data gaps, including to improve the share of countries reporting on government spending on education from 68% to 90% thanks to a new data model that combines various data sources together. / Aldeas Infantiles es una ONG dedicada a brindar un hogar con futuro a nios y jvenes separados de sus familias. Sin embargo, los tiempos cambian, y esta organizacin enfrenta desafos cruciales: cambios en el comportamiento de los donantes, la bsqueda de la autosostenibilidad y la necesidad de alinear estrategias. En este proyecto, exploraremos cmo la tecnologa y el aprendizaje automtico pueden asistir a Aldeas Infantiles a definir nuevos perfiles de donantes y personalizar estrategias para retener a aquellos que hacen posible su noble labor. La organizacin busca responder la pregunta clave: "Cules son los diferentes perfiles de donantes considerando las variables externas e internas que influyen en su comportamiento, mediante el uso de tcnicas de Machine Learning?". El objetivo es personalizar estrategias de captacin y lealtad para mantener el apoyo vital de los donantes y garantizar que la misin de Aldeas Infantiles se cumpla en un entorno cambiable y desafiante. En conclusin, este proyecto desarroll un modelo de segmentacin de donantes para una ONG que ayud a alinear las estrategias formuladas internamente y personalizar la experiencia del donante para optimizar mejor el uso de los recursos, alcanzar la eficiencia en costos en todos los esfuerzos que se despliegan y mejorar la fidelizacin de los donantes a travs de su journey personalizado. Para desarrollar el modelo de segmentacin, primero se calcul el "Customer Lifetime Value" o "Donor Lifetime Value" (DLTV), para lograr una segmentacin basada en el retorno o valor que genera cada donante. Posteriormente, segn su valor bajo, medio o alto, el objetivo es identificar las caractersticas principales de cada segmento adems de su valor, con el fin de proponer a la organizacin un perfil de donante en el cual enfocarse en buscar. Finalmente, se procede a comparar cada uno de estos segmentos identificados contra la variable de churn y adecuadamente alinear las estrategias actuales para buscar ser ms eficientes en costos y adicionalmente acomodar estas estrategias dependiendo del journey y el segmento en el cual el donante se encuentra.

Lida Alejandra Acosta Bulla
3ISolution

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Lida Alejandra Acosta Bulla

Margarita Rosa Imbett Canay
3ISolution

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Margarita Rosa Imbett Canay

Patricia Patino
Ernst & Young

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Patricia Patino

Pablo Fraser
United Nations Educational, Scientific and Cultural Organization (UNESCO), Global Education Monitoring Report

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Pablo Fraser

Organiser(s): Por Confirmar

Organiser(s): Por Confirmar

Organiser(s): Por Confirmar

National and global decision makers require an unprecedented amount of data and statistics to inform their decisions. The Data For Now is successfully working with countries to fill data gaps along the data value chain and using innovative approaches to inform priority policy areas. This includes work to increase the use of alternative data sources such as administrative, geospatial or citizen data; upgrading IT infrastructure to handle intake of large datasets; increase collaboration with partners and ensure that more data are made openly available. This session will showcase a variety of this work and present Data for Nows commitment under the Commit to data campaign. The integration of statistical and geospatial has been identified by many countries as one of the critical means to fill data gaps to inform local decision-making in areas such as, urban planning, natural disasters, and food production. Strengthening countries capacity to use geospatial and statistical information, however, requires an enabling environment, including collaboration among national statistical offices (NSOs), local administrations, and national geospatial information agencies (NGIAs). Data for Now teamed up with the United Nations Expert Group on the Integration of Statistical and Geospatial Information to support increased engagement and speakers from Brazil, Jordan, Maldives and Namibia will share experiences on these joint efforts. Collaboration with academia is also increasingly becoming important for NSOs and Data for Now has worked to help improve this through strengthening of NSO-academia partnerships. SDSN and selected countries will present on this work. The existing IT systems of NSOs often lack the capability to effectively manage both different formats of data and the sheer volume of information pouring in, hindering the timely extraction and analysis of valuable insights. To support NSOs in enhancing in-house capacities, a modular and open-source data infrastructure code has been developed. It is deployed in NSOs based on their needs in combination with training to ensure sustainability. This session will share knowledge, available resources and experiences from Jordan, Maldives, Namibia and Sierra Leone. Recent crises, including the COVID-19 pandemic, conflicts, and the increased frequency and intensity of disasters related to climate change, have demonstrated how timely and open access to quality data can make a difference in how actions are prioritized, and crises are managed. For NSOs open data and data visualizations have become essential enablers of a transformation to become effective data stewards and in providing relevant information to the public. Based on requests, Data for Now, jointly with Open Data Watch, has developed materials that can help the National Statistical System in making more data openly available and in more engaging formats. Namibia, Maldives and Sierra Leone will share their experiences.

Maryam Rabiee
Sustainable Development Solutions Network (SDSN)

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Maryam Rabiee

Maryam Rabiee explores new methods and approaches to strengthen the data ecosystem for sustainable development. She is the Head of SDGs Today at the UN Sustainable Development Solutions Network (SDSN), which aims to advance the production and use of timely geospatial data for the Sustainable Development Goals (SDGs). Maryam serves on the board of the GEO Earth Observations for Sustainable Development Goals (EO4SDG) Initiative and UMass Global Institute for Geospatial Education.Prior to joining SDSN, Maryam was a Research Associate at the University of Melbourne and a Research Scholar at the Vienna University of Technology (TU Wien). She holds an MA from Columbia University and a BA from the University of Washington. Her academic and professional endeavors have taken her throughout Africa, Europe, Asia and the Pacific.

Claudio Stenner
Instituto Brasileiro de Geografia e Estatistica (IBGE)

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Claudio Stenner

Clementina Iyabo Akran
Statistics Sierra Leone

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Clementina Iyabo Akran

Vibeke Oestreich Nielsen
United Nations Statistics Division (UNSD-DESA)

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Vibeke Oestreich Nielsen

Vibeke Oestreich Nielsen is an Inter-Regional Adviser on Statistical Training and Capacity Building at the UN Statistics Division, a role she has had since September 2018. Before that, she worked with Statistics Norway at the Division for Development Cooperation. Vibeke has over 12 years of experience working on capacity development within statistics and currently coordinates several projects including the UNSD-FCDO project on SDG Monitoring, the Collaborative on use of administrative data for statistical purposes, the Data4Now project, and the Global Network of Institutes for Statistical Training. She is also a member of the Steering Committee of the Expert Group on Refugee and IDP Statistics. Her subject matter knowledge covers a wide array of topics including vital and health statistics, statistics on forced displacement as well as the use of administrative data, questionnaire design, data analysis, and user engagement. Vibeke holds a master’s degree in Economics from the University of Oslo.

Ashiyath Shazna
National Bureau of Statistics (NBS-Maldives)

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Ashiyath Shazna

Tamam Yasim
Department of Statistics (DOS-Jordan)

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Tamam Yasim

Ayman El Hloul
Department of Statistics (DOS-Jordan)

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Ayman El Hloul

Organiser(s): Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Universidad de Zhejiang; Departamento Rural, Oficina Nacional de Estadsticas (NBS-China); Centro Global de las Naciones Unidas sobre Grandes Datos y Ciencia de Datos para Estadsticas Oficiales; Organizacin de las Naciones Unidas para la Alimentacin y la Agricultura (FAO)

The Sustainable Development Goal 2 of the United Nations 2030 Agenda for Sustainable Development focuses on achieving zero hunger and ensuring food security globally. However, due to the impact of factors such as the COVID-19 pandemic, regional conflicts, climate change, and economic slowdown, the issues of global hunger and food security have significantly increased in recent years. Global food security faces unprecedented pressure and remains a considerable challenge. Earth observation plays a crucial role in official statistics and the monitoring of sustainable development goals. Applying earth observation, particularly agricultural remote sensing technology, to terrestrial monitoring and global crop yield estimation, is of great importance for achieving zero hunger and ensuring food security. Agricultural remote sensing technology can collect real-time data on global agricultural production, food supply and demand, and climate change, providing valuable reference for decision-makers and helping to formulate more effective agricultural policies and plans, improve agricultural production efficiency, reduce food loss and waste, thereby to ensure global food security. Additionally, earth observation and remote sensing for agricultural statistics provide crucial data for the "Cape Town Global Action Plan for Sustainable Development Data" launched at the first World Data Forum, improving data availability and quality, enhancing data accessibility, and promoting sustainable development processes globally.

Ronald Jansen
United Nations Statistics Division (UNSD-DESA)

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Ronald Jansen

Romesh Silva, Ph.D. is a demographer. He leads technical work on population data systems in humanitarian settings, as well as the strengthening of civil registration and vital statistics systems at the United Nations Population Fund. He previously served on the faculty of the Department of International Health at the Bloomberg School of Public Health, Johns Hopkins University.Romesh chairs the IUSSP Scientific Panel on Population Perspectives and Demographic Methods to Strengthen Civil Registration and Vital Statistics (CRVS) Systems, serves on the steering committee of the National Academy of Science's Expert Panel on the Demography of Forced Migration, is the guest editor for a Genus Thematic Series on CRVS and serves on the editorial board of the journal Conflict & Health.Romesh has served on the National Academy of Science’s expert panel on Darfur to review mortality estimates on Darfur, Sudan, the American Statistical Association's Committee on Scientific Freedom and Human Rights, and the IUSSP's Scientific Panel on Strengthening Civil Registration and Vital Statistics Systems. Romesh holds a Ph.D. in Demography from the University of California, Berkeley, a M.A. in International Affairs from Columbia University in New York, and a M.A. in Demography from the University of California, Berkeley, and B.A. (Hons, Class 1) in Statistics and a B.A. in German Studies from the University of New South Wales in Sydney, Australia.

Li Yuehua
Zhejiang Lab

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Li Yuehua

Huang Jingfeng
Zhejiang University

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Huang Jingfeng

Wei Fenghua
Rural Department, National Bureau of Statistics (NBS-China)

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Wei Fenghua

Zhang Bin
United Nations Global Platform for Big Data China Hub

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Zhang Bin

Organiser(s): Banco Mundial (BM); Universidad de Stanford; Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA); Oficina General de Estadsticas (GSO-Vietnam); Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); IGN, Blgica; CIG-BNETD, Costa de Marfil; Kadaster, Pases Bajos; Fundacin PVBLIC

In today's pursuit of achieving the Sustainable Development Goals (SDGs) at the local level, the importance of timely and spatially disaggregated data cannot be overstated. Spatially disaggregated data goes beyond national averages, offering a detailed picture of societal disparities and vulnerabilities. It helps us identify who is being left behind and where interventions are needed most. However, obtaining this level of granularity presents significant challenges. Traditional surveys often struggle to provide the needed detail, and data gaps persist, especially in remote or underserved areas. Traditional surveys are also costly to collect and results often are released with a significant time lag. Recognizing these challenges, the session aims to shed light on the critical role of geospatial data in enhancing survey efforts and unlocking the potential for more disaggregated and timely data at the local level. The session will delve into the integration of geospatial data and surveys as a powerful means to address these challenges. It will explore innovative methodologies and best practices for combining spatial information with survey data to create richer and more timely localized insights. Participants will gain a deeper understanding of the tools, techniques, and technologies available to bridge the gap between traditional survey methods and the demands for disaggregated data. Through expert presentations, case studies, and interactive discussions, attendees will leave the session equipped with practical knowledge and strategies to harness the power of geospatial data in surveys, ultimately advancing the localization of SDG efforts for more inclusive and impactful development.

Halima Neyamat
United Nations (UN)

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Halima Neyamat

Andrea Ramirez Santiago
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)

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Andrea Ramirez Santiago

Andrea Ramírez Santiago has a degree in Geography from the National Autonomous University of Mexico (UNAM). Currently working as a senior advisor of the governing board at National Institute of Statistics and Geography of Mexico (INEGI) and deputy director of geographical and environmental information assessment. Most of her 8 years of career in the Mexican federal government he has been exploring new methodologies based on geospatial technologies (including Earth Observation) and machine learning to advance the integration and interoperability of geographic and statistical information. Her main responsibility has been formulating strategies to activate the data through processes that facilitate their collection, storage, interoperability, visualization, and analysis, for a public benefit. Her interests focus on exploring the potential of geospatial technologies, and machine learning, for data collection, integration, interoperability, and analysis; test new methodologies with a geospatial approach to generate useful information for decision making; and design strategies for visualization and communication of information products, to activate the growing number of geospatial data.

Elizabeth Tennant
Cornell University

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Elizabeth Tennant

Partha Lahiri
University of Maryland College Park

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Partha Lahiri

Organiser(s): Open Data Watch (ODW); Alianza en Estadsticas para el Desarrollo en el Siglo XXI (PARIS21)

In Medellin, let's commit to turning data into impact. In anticipation of noviembre, PARIS21 and Open Data Watch, in collaboration with the UNWDF Programme Committee and other commitment champions, are spearheading a collaborative initiative to actively gather and catalyze commitments from diverse stakeholders in the data for development domain. This initiative emphasizes the urgent need to transition from discussions to impactful actions, accelerating progress towards the 2030 Agenda. It leverages the ongoing political momentum of the UNs High Impact Initiatives Power of Data and the consensus of priorities outlined in the forthcoming Cape Town Global Action Plan. The specific objectives of this commitment campaign include: Elevating the impact of the 2024 UN World Data Forum and ensuring the outcome is action-oriented in both form and substance. Building on the UNs High Impact Initiative on the Power of Data and the Cape Town Global Action Plan. Generating excitement and awareness ahead of the Forum and engaging groups not as active in the space, such as local data actors and the digitization community. This session will highlight impactful commitments that will expedite our efforts and drive tangible progress. Our goal is to engage a diverse array of sector leaders, from local to global levels, to share insights on their progress towards the 2030 goals and articulate their specific commitments and strategies moving forward.

Johannes Jutting
Partnership in Statistics for Development in the 21st Century (PARIS21)

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Johannes Jutting

Shaida Badiee
Open Data Watch (ODW)

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Shaida Badiee

Organiser(s): Organizacin Mundial de la Salud (OMS)

The uncertainty surrounding the COVID-19 pandemic, especially during its first months, challenged the capacity of health systems and decision-makers' ability to rapidly implement effective control measures. In this context, the work of National Public Health Agencies (NPHAs) was complemented by other governmental institutions, in particular National Statistical Offices (NSOs). NSOs were uniquely placed to work collaboratively with NPHAs for pandemic response given their expertise in data collection within national data ecosystems as well as capacity for data science and statistical analysis. Furthermore, NSOs played an important role in the dissemination of trusted information to the public. A report by the United Nations Statistics Division and the World Bank in 2020 showed how NSOs facilitated the use of a wide range of data sources such as phone surveys, administrative data, web surveys, social media, citizen-generated data and others. The collaboration between NPHAs and NSOs during the pandemic is an example of how countries can leverage data capacities to support decision-making in the context of health emergencies. Notwithstanding, these collaborations face challenges such as institutional barriers, data systems incompatibilities, and differing subject matter expertise. This panel session, moderated by the World Health Organization Hub for Pandemic and Epidemic Intelligence, will bring together representatives from NPHAs and NSOs from different country contexts to address three main objectives: a) showcase successful examples of NSOs and NPHAs working together to drive data innovation and resilience for the surveillance of infectious diseases, b) share insights on the importance of strategic investments in robust national data systems to support public health, and c) explore strategies for enhancing coordination and collaboration between NSOs and NPHAs to be better prepared for future health emergencies.

Carlos Alberto Mendes
Instituto Nacional de Estatistica (INE-Cabo Verde)

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Carlos Alberto Mendes

Ivalda Macicame
Mozambique National Institute of Health (INS)

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Ivalda Macicame

Oliver Morgan
World Health Organization (WHO Pandemic Hub)

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Oliver Morgan

Oliver Morgan PhD MSc FFPHDr. Oliver Morgan is the Director of the Health Emergency Information and Risk Assessment Department in the WHO Health Emergencies Program. From 2007 through 2016, Dr. Morgan worked for the US Centers for Disease Control and Prevention during which time he held critical leadership positions in the Ebola response between noviembre 2014 and February 2016 (CDC Atlanta Ebola Response Incident Manger and CDC Country Director in Sierra Leone). From March 2010 to October 2014, Dr. Morgan was the CDC Country Director in the Dominican Republic. Dr. Morgan was an Epidemic Intelligence Service Officer at CDC from 2007 to 2009 with the International Emerging Infections Program, during which time he conducted projects in Thailand, Bangladesh, Kenya, Uganda, and Guatemala. Before joining CDC, Dr. Morgan worked for the UK Health Protection Agency, leading epidemiological investigations of outbreaks (enteric, vaccine preventable, hospital acquired, zoonotic, respiratory, and sexually acquired infections), chemical and radiation exposure incidents, terrorist bombings in London, natural disasters, and humanitarian civil conflicts. Dr. Morgan has also worked as a consultant to WHO/PAHO in several countries. Dr. Morgan’s academic achievements include a doctorate in epidemiology from Imperial College London and extensive publication in peer reviewed journals and reference books.

Emma Rourke
Office for National Statistics (ONS-UK)

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Emma Rourke

Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)

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Piedad Urdinola Contreras

Organiser(s): The Datasphere Initiative; Global Shapers Medelln Hub; African Institute for Mathematical Sciences (AIMS-Next Einstein Forum); Chaski Global; Alianza Global para los Datos del Desarrollo Sostenible (GPSDD)

The "Leveraging Global South Youths Vision for an Equitable and Sustainable Data Future" workshop will offer participants a hands-on session to collaboratively design strategies to leverage youth participation in policy dialogues on data and SDGs. This interactive activity will create a space for youth to learn about ongoing data and digital policy debates and brainstorm new approaches and solutions to topics such as digital welfare, data privacy, education and skills, mental health, and data for the SDGs. The workshop will build upon the learnings from the NEF Africa SDGs Week and the Datasphere Initiatives #Youth4OurDataFuture project to create an open space for youth from around the globe, and particularly from the Global South, to interact and contribute to the conversation on the data economy and digital transformation. The session will emphasize the importance of leveraging Global South youth voices to reshape the data economy and highlight how various stakeholders are working towards including youth in data governance discussions. Participants will be invited to join the discussion, share best practices, and design effective participatory approaches to data policies and technologies, bringing valuable perspectives to the table for the future of the SDGs. Learnings and good practices on effectively engaging youth in data policies and technologies will be shared through the networks of the partners involved. Preliminary Agenda: 00:00-00:10: Introduction and Dynamic Icebreaker A quick interactive game or question to encourage participants to introduce themselves and share a fun fact or insight related to SDGs. 00:10-00:25: Awareness Raising Activity Display data points related to SDGs around the room. Participants use red and green stickers to mark positive (green) or negative (red) reactions to each data point. Briefly discuss the patterns and insights from the sticker activity. 00:25-00:50: Ideas Workshop Frame topics utilizing information from the SDG week. Participants receive post-its to jot down their ideas and experiences. Rotate around different topic stations, contributing insights on the post-its. Example topics: SDGs, data privacy, mental health, education and skills, data for development. 00:50-01:00: Wrap Up, Conclusions, and Next Steps Facilitated discussion to compile the main points from the ideas workshop. Create a summary of key takeaways and potential actions.

Jillian Randolph
Chaski Global

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Jillian Randolph

Sanera Maharaj
African Institute for Mathematical Sciences - Next Einstein Forum

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Sanera Maharaj

Daniel Bedoya
Global Shapers Medellin Hub

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Daniel Bedoya

Mariana Rozo Paz
Datasphere Initiative

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Mariana Rozo Paz

Organiser(s): Fondo de las Naciones Unidas para la Infancia (UNICEF)

Despite increased efforts, the availability and quality of data on violence against children remain scarce; when data have been collected, their analysis and use remain limited, thus hindering the powerful role data can play in fostering action. This session aims to launch two new initiatives to address this issue: the UNICEF Guidelines for the Production of Data on Violence against Children and Together for Girls' first-ever comprehensive dashboard on national data on violence against children. The UNICEF Guidelines provide comprehensive advice on how to produce quality data on violence against children, particularly in resource-limited settings. These guidelines are designed to support national statistical offices, government agencies, and other stakeholders in improving the collection, analysis and use of data on violence against children, aiding in developing effective laws, policies, and prevention efforts. The guidelines focus on household surveys and administrative data systems, offering detailed guidance on establishing or improving data monitoring systems on violence against children. The dashboard, hosted by the TfG website, is a free online tool to access, visualize, and download VACS data from 23 countries. Users can search the available indicators using a variety of options and filters, including country, age, sex, type of violence, context (location, perpetrators), and consequences (early pregnancy, mental health conditions). This dashboard aims to make VACS data and their related visualizations easily accessible, jargon-free, functional, and usable to all stakeholders, particularly in existing VACS countries, regardless of tech literacy and internet connection. The design sought to be simple and user-friendly and contribute to maximizing the impact and use of the VACS data. / The Violence Against Children and Youth Surveys (VACS) are nationally representative population-based household surveys of 13- to 24-year-old males and females. VACS are designed to measure the prevalence of emotional, physical, and sexual violence against males and females in childhood, adolescence, and young adulthood. The surveys also generate information on the circumstances and consequences of violence as well as service usage after experiencing violence. The VACS are led by national governments, with technical assistance from the US Centers for Disease Control and Prevention (CDC), as part of the Together for Girls (TfG) partnership, with support from various local partners. The VACS are the largest source of data on violence against children in the world. Over 20 countries have conducted a VACS, with three countries repeating the survey. The VACS have generated data for approximately 13% of the worlds population under 24 and have contributed enormously to furthering our understanding of violence in childhood. The survey data has also crucially informed policy and programmatic action on violence against children. After going through the VACS process, 12 countries prohibited corporal punishment, and ten banned child marriage. Currently, the survey findings can be found in pdf reports, factsheets, and journal articles. However, to ensure that prevention and response to violence against children is data-informed, it is critical to make data more easily available to a broader audience, including practitioners, activists, advocates, researchers, and the media. TfG Data Dashboard The objective of this session will be to present the first-ever comprehensive dashboard on national data on violence against children. The dashboard, hosted by the TfG website, is a free online tool to access, visualize, and download VACS data from 23 countries. Users are able to search the available indicators using a variety of options and filters, including country, age, sex, type of violence, context (location, perpetrators), and consequences (early pregnancy, mental health conditions). This dashboard aims to make VACS data and their related visualizations easily accessible, jargon-free, functional, and usable to all stakeholders, particularly in existing VACS countries, regardless of tech literacy and internet connection. The design sought to be simple and user-friendly and contribute to maximizing the impact of the VACS data. Impact The data dashboard will provide access to VACS data to a broader audience. Allies working in the sexual violence prevention and response space will be able to access VACS main results from more than 20 countries in various formats (tables, charts, infographics). The dashboard will also increase the use of VACS data to inform policies and programs. National governments, international non-governmental organizations, community-based organizations, advocates, and activists will have access to the right data in a suitable format.

Claudia Cappa
United Nations Children's Fund (UNICEF)

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Claudia Cappa

Organiser(s): Iniciativas IMPACT; Proyecto de Datos sobre Conflictos Armados y Eventos (ACLED); Alianza Data-Pop

Large-scale datasets are essential to inform data-driven decisions on humanitarian priorities and planning. Yet, relying on traditional information sources can marginalize vulnerable groups. We will discuss methodological challenges and opportunities to address data gaps for marginalized settings, and include excluded voices under the commitment to leave no one behind in the 2030 Agenda for Sustainable Development, in three projects: IMPACT will share recent efforts to enhance large-scale multi-sectoral needs assessments in various countries. These include innovative approaches to capture intra-household gendered perspectives or adding qualitative components to quantitative data to reach marginalized groups such as LGBTQ+ individuals. We will reflect upon what constitutes better and more inclusive data beyond statistical representativity and upon the need to ensure that inclusive data remains outcome oriented, serving as a basis for inclusive programming. ACLED has created several conflict observatories directing resources to produce actionable insights in areas where traditional data sources are likely to be plagued by misinformation, political influence, and threats to physical security that limit reporting. The goal of this model is shared across contexts, but implementation varies based on the needs of the situation. Here we will share lessons learned from ACLEDs conflict observatory initiatives to date, on both core components and context-specific variations. We identify unique contributions for enhancing data and analysis used to mitigate harm, bringing depth and nuance to understanding the most volatile conflict environments. DPA is working to reduce poverty in Latin America, where inequalities are high, by focusing on socioeconomically deprived neighborhoods like urban settlements. These areas often lack reliable data due to safety and financial constraints, hindering poverty reduction efforts. MPI+, a pilot project created with the Brazilian NGO Gerando Falces (GF), uses local knowledge and non-traditional data to create a Multidimensional Poverty Index (MPI) for Brazil's favelas. It includes context-specific nuances using novel data sources and analytic approaches. We will share outputs from two case studies, promote the use of non-traditional data for poverty estimation, and discuss the strengths and limits of these methods. MPI+ provides accurate, reliable, low-cost data to map and monitor poverty, highlighting neglected populations.

Erin Miller
Armed Conflict Location and Event Data Project (ACLED)

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Erin Miller

Cosima Cloquet
IMPACT Initiatives

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Cosima Cloquet

Organiser(s): Por Confirmar

Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Divisin de Estadsticas de las Naciones Unidas (UNSD-DESA)