The aim of the UN World Data Forum is to spur data innovation, nurture partnerships, mobilize high-level political and financial support for data, and build a pathway to better data for sustainable development.
Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia); United Nations Statistics Division (UNSD-DESA)
Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia)
Stefan Schweinfest
United Nations Statistics Division (UNSD-DESA)
B. Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Elsa Dhuli
Institute of Statistics (INSTAT-Albania)
Phillip Schönrock
Centro de Pensamiento Estrategico Internacional (Cepei)
Miosotis Rivas Peña
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Johannes Jütting
Partnership in Statistics for Development in the 21st Century (PARIS21)
Mireia Villar Forner
United Nations Resident Coordinator (UNRCO)
Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia) / United Nations Statistics Division (UNSD-DESA)
Stefan Schweinfest
United Nations Statistics Division (UNSD-DESA)
B. Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Organiser(s): UN World Data Forum Programme Committee (UNWDF PC)
Datutopia: what does an innovative, integrated, inclusive, enabled data ecosystem look like so that we to achieve sustainable development for all?
We constantly hear terms like innovation, integration, inclusion, enabling environments but how do they translate into reality? What does an innovative, integrated, inclusive, enabled environment for providing data and statistics to achieve sustainable development for all look like? In this plenary session, we will tackle the “datutopia”, the utopian ecosystem for data and statistics.
The High-Level Plenary Session aims to catalyze actionable strategies and collaborations towards leveraging innovation for more inclusive and responsive data ecosystems. By harnessing the power of integrated data sources and adapting methodologies to leave no one behind, we can collectively advance towards achieving the Sustainable Development Goals and ensuring no part of society is left unseen or unheard.
The concept note for this plenary session can be accessed here.
Stefan Schweinfest
United Nations Statistics Division (UNSD-DESA)
Luísa Franco Machado
United Nations Youth Office
Ola Awad
Palestinian Central Bureau of Statistics
Oscar Mauricio Lizcano Arango
Ministry of Information Technologies and Communications, Government of Colombia
Steve MacFeely
Organisation for Economic Co-operation and Development (OECD)
Organiser(s): Global Health Advocacy Incubator; Gender Equity Unit, John Hopkins Bloomberg School of Public Health; Indian Council of Medical Research; Directorate of Census Operations and Citizen Registration (DCOCR-India); State Rainbow Foundation
Article 6 of the Universal Declaration on Human Rights and several international human rights instruments ensures everyone has the right to be recognized as a person before the law. As the coverage of civil registration is not universal and complete in all countries of the world, the 2030 Agenda for Sustainable Development established indicator 17.19.2 which focusses on birth and death registration. According to "One UN" approach member states should build holistic, country-owned, sustainable civil registration, vital statistics, and identity management systems. Keeping in view the "One UN" approach, the present session will focus on the challenges that lesbian, gay, bisexual, transgender, queer, intersex and asexual (LGBTQIA+) individuals face in registering vital events like birth and death and obtaining identity documents in most low- and middle-income countries around the world. The session will describe how the Global Health Advocacy Incubator (GHAI), as part of the Bloomberg Philanthropies Data for Health Initiative, has developed and implemented an inclusive, human rights-based approach to gender equity within civil registration, vital statistics, and identity management (CRVSID) systems. In line to achieve global sustainable development agenda, GHAI provides guidance on country legal frameworks against international best practices for ensuring equal access to civil registration services for LGBTQIA+ individuals that has been used internationally and has proved beneficial in providing a legal identity to the community. This rights-based approach has been piloted in partnership with the state government of Rajasthan in India involving LGBTQIA+ civil society groups from across the state. The scope proposed session will include state/national CRVSID agencies, legal experts, civil society organizations, and LGBTQIA+ rights groups sharing barriers and solutions that these population groups face in accessing civil registration services, the impacts of LGBTQIA+ individuals' lack of registration, and how legal interventions enable better collection and use of data that represent all individuals within the population. Objectives 1) To educate the audience about the importance of strengthening CRVSID legal frameworks and the promise it holds to ensure that everyone in the country has equal access to vital event registration services. 2) To share country experiences in integrating gender equity in CRVSID, which makes these systems more inclusive and responsive to the needs of all population groups. Outcome The primary outcome is to strengthen civil registration among LGBTQIA groups is to describe how countries can ensure all individuals' equal access to civil registration services to achieve complete coverage and enable the generation of quality vital statistics for informed public policy planning and development, resource allocation and implementing CRVS data management programs.
Om Bera
Global Health Advocacy Incubator
Michelle Kaufman
John Hopkins Bloomberg School of Public Health
Nayib Chalela
Georgetown University
Noor Shekhawat
State Rainbow Foundation
Ashoo Grover
Indian Council of Medical Research
Adrienne Pizatella
Bloomberg Philanthropies
Uday Narayan Das
Directorate of Census Operations and Citizen Registration
Vandana Shah
Global Health Advocacy Incubator
Organiser(s): Google; United Nations Statistics Division (UNSD-DESA); MAKAIA; World Health Organization (WHO); ONE Campaign
Worldwide, vast amounts of valuable data are being generated regularly, spanning topics from temperature to trade and disease rates, holding the potential to address pressing societal challenges like climate change, hunger, and epidemics. Despite its public availability, accessing and utilizing this data remains a challenge. By leveraging open data and AI, we can effectively tackle critical development challenges, be it at a local or global scale, enabling us to identify and address pressing issues efficiently, ultimately contributing to the betterment of millions of lives. In this session, we look into the transformative potential of open data and AI to build a better future for all. The first example is the UN Data modernization project of the UN Statistics Division - an initiative to bring together the United Nations systems vast data into a single, user-friendly, AI-powered platform and make them accessible and useful. Through the use of advanced technology and AI; partnerships with regional and international agencies and national statistical offices; and open sourcing via Googles Data Commons, the UN and partners are making critical datasets more inclusive, more interoperable, and more publicultimately giving world leaders and policymakers the tools they need for better decision-making. As part of the project, UNSD and Google jointly launched the UN Data Commons for the SDGs (https://unstats.un.org/UNSDWebsite/undatacommons/sdgs) during the SDG Summit in September 2023. In addition to uses by the UN, this work has brought official UN data into Googles Data Commons, a public repository through which anyone can explore and combine authoritative datasets from thousands of sources. In this session, we will aim to: 1) share how AI is enabling greater data availability and usability, 2) demonstrate the impact that inclusive, comprehensive data can have on society, and 3) encourage more agencies, countries, and public and private organizations to consider participation in collaborative, open data initiatives. We will share a brief demonstration of the UN Data platform and facilitate a panel discussion of speakers from organizations making use of AI and open data - Google, UN Statistics Division, the World Health Organization, MAKAIA, and the ONE Campaign. This work coincides with Thematic Area 1: Innovation for better and more inclusive data. By partnering with an increasing number of UN agencies, member countries, and civil society organizations, Google and the UN Statistics Division are improving availability and interoperability of datasets that are critical for the publics understanding of the worlds greatest challenges and the interventions needed to help us improve the human condition.
Joseph Hassine
Google
Prem Ramaswami
Google
Steve MacFeely
Organisation for Economic Co-operation and Development (OECD)
Gayle Smith
ONE Campaign
Ingrid Johana Espitia Riveros
MAKAIA
Stefan Schweinfest
United Nations Statistics Division (UNSD-DESA)
Organiser(s): Danish Human Rights Institute; Human Rights Council, Greenland; Plan International; International Land Coalition (ILC); World Federation of the Deaf; Business and Human Rights Resource Centre; United Nations Statistics Division (UNSD-DESA); Collaborative on Citizen Data Steering Committee (supported by 10 organisations)
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.
Julieth Solano
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Haoyi Chen
United Nations Statistics Division (UNSD-DESA)
Pamela Molina
World Federation of the Deaf
Stinne Skriver Jørgensen
Danish Human Rights Institute
María José Guerra Bartels
International Land Coalition
George Awala
Voluntary Service Overseas (VSO)
Organiser(s): Food and Agriculture Organization of the United Nations (FAO); Columbia University; Cornell University; Global Alliance for Improved Nutrition (GAIN)
Changes in food systems are essential to achieving most of the 17 Sustainable Development Goals (SDGs). With less than a decade remaining to achieve the SDGs and amidst various global crises, the world faces a critical juncture to transform agri-food systems so that they support healthy diets in a sustainable, resilient, just, and equitable way. Transforming food systems requires regularly updated information about their status to guide interventions and to track their impacts and progress. Commonly agreed upon indicators can aid decision makers in the design, monitoring and evaluation of public policies. To be trusted and taken up by those decision makers requires that the indicators are carefully selected to be relevant, of the highest quality, interpretable, and useful to meet real stakeholder needs. This session will showcase how a multistakeholder process was used to reach consensus on a set of indicators to monitor food systems, introducing the work of the Food Systems Countdown to 2030 Initiative (FSCI). The FSCI formed on the momentum of the 2021 Food Systems Summit to develop a rigorous, independent and science-based information system that can be used to track progress for the worlds food systems and guide action. The participants will have the opportunity to learn more about this experience where different communities convened, so that more ambitious objectives can be achieved from joint work. They will also be invited to consider how a holistic suite of indicators and data can support countries in making progress towards their goals. The UN Food Systems Summit catalysed food system action, but policymakers often lack the data required for critical decisions. The FSCI is filling that gap, having identified an indicator framework composed of 50 indicators that monitor food systems for countries around the world, using existing data to enable immediate action. Repurposing existing data, rather than carrying out time-consuming new research, means policymakers have quick access to relevant information carefully curated for quality and fit-for-purpose to food systems decisions. In late 2021, the FSCI published an architecture comprised of five thematic areas: diets, nutrition, and health; environment, natural resources, and production; livelihoods, poverty, and equity; governance; and resilience. Each theme contains three-to-five indicator domains that together provide a comprehensive picture of food systems. (Fanzo et al., 2021; Link: https://www.sciencedirect.com/science/article/pii/S0306919221001433). Next, the FSCI undertook a consultative process with additional scientific experts and policy stakeholders to select a set of existing indicators. The consultative process selected 50 indicators, a list as concise and as comprehensive as possible given available indicators and data, for which it has compiled a global baseline of food systems (Schneider et al., 2023; Link: https://www.nature.com/articles/s43016-023-00885-9).
Benjamin Rothen
Swiss Federal Statistical Office (SFSO)
José Rosero Moncayo
Food and Agriculture Organization of the United Nations (FAO)
Hernán Muñoz
Food and Agriculture Organization of the United Nations (FAO)
Stella Nordhagen
Global Alliance for Improved Nutrition (GAIN)
Organiser(s): United Nations Development Programme (UNDP), Accelerator Labs and SDG AI Lab; Ministry of Environment and Natural Resources, Guatemala; Pacific Community (SPC)
In the practical production of environmental statistics, it is common to use diverse methods that are different from those recommended in manuals. In general, environmental statistics need to be flexible, multipurpose, structured and aggregated, targeting a broad community such as NSOs and environmental ministries and agencies, all of whom rely on evidence for their decision-making processes.
While data on environmental conditions are at the centre of the monitoring systems, the potential of emerging methodologies in enhancing the quality of these data is immense. Effective traditional and innovative methods can significantly support better analysis, research and policy-making. This session will present three environmental innovations for better and more inclusive data.
First, a design process for a Natural Hazards and Climate Change Survey, highlighting how Pacific Community (SPC) is guiding Pacific Islands Countries and Territories (PICTs) to fill data gaps using survey-based data collected at the household level. This aims to quantify the impacts of natural hazards and climate change and measure trends towards adaptative and resilient practices in the face of climate change.
Second, a multi-layer approach for innovating environmental Policy Monitoring leveraging Computer Vision (AI), Geospatial analysis methods (GIS) and Open Mapping. Key coordinated efforts for deploying data-driven solutions for central and local governments are highlighted, enhancing monitoring capabilities on solid waste management and river basin protection. Thus, placing the stepping stones towards inclusive digital transformation emphasizing scalability, cost-effectiveness and flexibility. This work is led by UNDP Accelerator Lab and the Ministry of Environment in Guatemala, supported by diverse partners including Politecnico di Milano, UNDP SDG AI Lab, UNDP GIS specialists and Humanitarian OpenStreetMap.
Overall, this session demonstrates that enhancing national environmental systems are data-quality dependent and context specific, where proven methodologies comprise traditional but efficient data collection methods, citizens involvement for streamlining data collection efforts, and geospatial technologies with open and scalable architectures.
Monica Madrid
Pacific Community (SPC)
Carlos Mazariegos
United Nations Development Programme (UNDP), Accelerator Labs
Organiser(s): Ministry of Statistics and Programme Implementation (MoSPI-India) / Office for National Statistics (ONS-UK) / Vital Strategies / Polidata
The Government of India is committed to achieve Sustainable Development Goals (SDGs) and has played a leading role in defining the contours of the 2030 agenda. The Ministry of Statistics and Programme Implementation (MoSPI), is involved in development of monitoring frameworks for SDGs at national, sub-national as well as local levels. Some of the initiatives of MoSPI in development of monitoring frameworks for SDGs are as: National Indicator Framework (NIF): MoSPI in consultation with relevant stakeholders, has developed a National Indicator Framework (NIF) for SDGs for facilitating the monitoring of progress of SDGs at national level. NIF is in sync with the Global Indicator Framework (GIF) for SDGs. The NIF is evolutionary in nature, which requires revision/refinement from time to time, inter-alia, owing to the refinement in GIF, national priorities, new advancement in technologies and data availability. Based on the data received from the data source Ministries on national SDG indicators contained in the latest NIF, MoSPI releases progress report on SDGs annually. State Indicator Framework for SDGs: The States/UTs have the primary responsibility for follow-up and review the progress made in implementing the SDGs and associated targets at the sub-national levels. MoSPI is also extending technical support to the States/UTs in development of sub-national level monitoring frameworks for SDGs. In this endeavour, Ministry developed certain Guidelines in July 2019 and further updated these guidelines in March 2022. Local Indicator Framework (LIF): Ministry of Panchayati Raj (MoPR), Government of India is anchoring the process of Localization of Sustainable Development Goals (LSDGs) in Panchayati Raj Institutions (PRIs). Accordingly, MoPR initiated thematic approach through aggregating 17 SDG into 9 broad themes for Localization of SDGs at the grassroots level. MoSPI provided requisite technical support to MoPR in development of Local Indicator Framework (LIF). District and sub-district level Indicator Framework: Some of the States/ UTs have developed district and sub-district level monitoring frameworks. These monitoring frameworks play a pivotal role in tracking the progress of SDGs at different administrative levels. SDGs provides a platform where the data requirement is so high that it not only depends on Official Statistics through Administrative Records and Survey Data but also encourages to explore the new technologies/methodologies such as, use of Geospatial / Remote Sensing Data, Big Data, Citizen Generated Data etc. to cater the SDG data requirements as well as in playing the most critical role in efficient planning, proper implementation, effective monitoring, indicative evaluation and evidence-based decision making. / This session will focus on the Integrated Data Service, a new UK cross-government service which creates a step change in the way data about the UK society and economy are made available for vital research and decision making in the UK. While the idea of sharing data to maximise impact is not new to ONS, the IDS provides a central hub of high-quality accessible data and is a key enabler of the UK Government National Data Strategy. It is designed for use by government analysts, devolved administrations, and external accredited researchers, and is optimised for advanced government use in a secure environment. The session will showcase high priority cross-government projects, analyses and outputs undertaken in the IDS and the impact these have had on maximising the use of data previously siloed across government into better decision making for the public good. The session will also explore the transformational proposals the Service is leading around data stewardship and a new integration model, called the Reference Data Management Framework (RDMF). This is an underlying linkage model that allows data to be linked according to the need of the analysis on a consistent and repeatable basis.?Benefits of RDMF include improved data quality, accessibility, and the facilitation of collaborative analysis, critical for government to effectively understand and address the most complex issues facing society. All these foundational elements underpin the ultimate purpose of the IDS: frequent and more effective policymaking that securely puts data sitting at the very heart of government machinery to best possible use, and to help improve peoples lives. / Mortality data can provide valuable information on the health of a population, offer insights on who is dying and why, helping to identify risk factors that can be mitigated, and providing an indication of the true burden of epidemics and other emergencies. However, many health departments in LMICs conduct limited analysis, restricted to data on specific programs and based on in-facility deaths only. There is often a reliance on other agencies, such as national statistics offices, to produce vital statistics reports. These data, which should ideally be providing a more holistic view of all deaths are then not further interrogated and analyzed. Likewise, health departments seldom attempt to triangulate available data sources on mortality. The reason for this shortcoming may be related to the fact that this is not viewed as their function or there is no unit that is tasked with this responsibility. There is therefore a potential (and high added value) to conduct more robust mortality analysis routinely. This lightening talk session will be open with a presentation on the value of mortality data analysis in health departments, highlighting the potential sources and describing the current status of such analysis in 22 LMICs that are part of the Bloomberg Philanthropies Data for Health Initiative. This will be followed by presentations from two of the countries. In Peru, the Ministry of Health published a mortality report in 2018, providing a 30-year trend analysis with various disaggregations. These analyses identified the leading causes of death, noting changes in the distribution over time, and reported on inequalities in subpopulations from different socioeconomic and geographic groups. The results allowed the ministry to refocus their health priorities and revise health programs. For example, a pneumococcal vaccine campaign focusing on older adults was conducted following the publication of the report. The methodology for the trend analysis was well documented, has been replicated, and is available for future adaptations and updating. During the COVID-19 pandemic, the Ministry of Health and Social Action in Senegal rapidly established a system to track deaths that occurred in all hospitals in the country. This allowed them to better assess the impact of the pandemic. The Ministry established a system for producing monthly bulletins presenting data from the mortality surveillance system to internal governmental stakeholders and produced two annual reports. The 2021 report included data from other sources such as the demographic and health survey. There are plans to expand the surveillance to other levels of health facilities, but in the interim, the Ministry is developing a portal that will make these data more accessible to decision-makers and the public. This dynamic session provides real world examples of the value of mortality analysis for policymaking and will serve to inspire and guide other governments to take similar action. / La gestin pblica basada en datos ha demostrado ser una va 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 gestin de datos en estos entornos gubernamentales. En este contexto, la presente charla se propone explorar la viabilidad y la efectividad de los esquemas de incorporacin de microdata en la gestin pblica, tomando como caso de estudio la experiencia de la Subdireccin de Prospectiva, Informacin y Evaluacin Estratgica de la Alcalda de Medelln durante el periodo 2021-2023. Este enfoque de gestin pblica se centra en la coordinacin y estandarizacin de la documentacin tcnica y los procesos de generacin de datos con miras a una mejor toma de decisiones, con una apuesta enfocada en microdata que pretende organizar tcnicamente los procesos administrativos y fundamentarlos en datos. Este caso retoma el trabajo cotidiano de los profesionales encargados de la data en la Subdireccin de Perspectiva de Informacin y Evaluacin Estratgica de la Alcalda de Medelln, y expone cmo mediante el uso de este modelo de gestin se avanz en una estandarizacin de acciones y objetivos de sus procesos, traducindose en eficiencias en materia de recursos, capacidades y oportunidades. Conduciendo as a un proceso de gestin pblica ms eficiente y exitoso. Adicionalmente, este caso demuestra que no se requieren grandes inversiones en desarrollos tecnolgicos para iniciar en este tipo de apuestas en la gestin pblica, sino que es preciso coordinar los recursos tecnolgicos existentes en armona con los procesos tcnicos de las dependencias y/o equipos. Abordar esta temtica es crucial para entender cmo maximizar el uso y valor de los datos en la toma de decisiones. La charla destaca que, mediante la sistematizacin y estandarizacin, es posible no solo incrementar la eficiencia de los procesos internos, sino tambin mejorar la calidad de las decisiones estratgicas en la gestin pblica. Asegurando que los datos sean accesibles, fiables y estn bien organizados, la Subdireccin ha facilitado una mejor planificacin y seguimiento de sus procesos, optimizando as los resultados e impacto de sus iniciativas en Medelln. Este enfoque de gestin pblica basada en microdata subraya la importancia de los datos como un recurso estratgico en la administracin pblica, promoviendo un uso ms estratgico e inteligente de la informacin para el beneficiodelasociedad.
Jasblleidy Pirazán García
Polidata
Fiona James
Office for National Statistics (ONS-UK)
Ashutosh Ojha
Ministry of Statistics and Programme Implementation (MoSPI-India)
Farnaz Malik
Vital Strategies
Organiser(s): United Nations Resident Coordinator (UNRCO), Colombia; United Nations Country Team (UNCT), Colombia
Mireia Villar Forner
United Nations Resident Coordinator (UNRCO)
Carla Zacapa
United Nations Development Programme (UNDP)
Anna Azaryeva Valente
UNICEF Colombia
Rossella Bottone
Programa Mundial de Alimentos de las Naciones Unidas en Colombia
Martha Lucía Rubio Mendoza
Fondo de Población de Naciones Unidas - UNFPA
Organiser(s): Athena Infonomics LLC; United States Agency for International Development (USAID)
Background Consciously building inclusion into data and digital innovation is crucial to achieving the sustainable development agenda. Recognising this imperative, Athena Infonomics, along with Genesis Analytics and the USAID's Bureau for Resilience, Environment, and Food Security (REFS), launched the Inclusive Digital Design (IDD) toolkit last November. The IDD toolkit serves as a comprehensive user-friendly guide for staff from donor organisations, governments and implementing partners on how to design inclusive digital and data innovations. The IDD Toolkit provides: A comprehensive understanding of what inclusion means Why it is important to be inclusive Practical and actionable guidance and tools The toolkit acknowledges that digital inclusion is not inevitable, and we need to actively work towards it. We know that purposefully designed solutions can empower individuals, and this toolkit serves to do the same for innovations in the data/digital world. Designed as a practical guide, the toolkit and its accompanying workbook feature modules that combine informational content, mini cases, and activities. Session Focus Our proposal centers around an interactive learning activity geared towards guiding groups of participants in designing an inclusive digital intervention. The moderators would devise a simulation, presenting a hypothetical data solution and its implementation plans. Participants will collaborately explore strategies to incorporate inclusive design within the programme. How can they improve access, agency, and engagement with their solution? They will use the IDD toolkit and workbook as a guide to think about the different aspects of data inclusion and how to action them. The interactive session aims to challenge pre-conceived notions about inclusion, encourage participants to think about metrics of digital exclusion in their work, and help devise practical steps to bridge this divide in their programmes. The activity will emphasize the complexity of potential users' realities, acknowledging factors influencing their ability to use, engage with, and benefit from digital tools. We will seek to provide a structured Inclusion Framework to help participants assess ongoing efforts on making digital / data-based technologies accessible and beneficial. This dynamic session caters to professionals working with digital tools and data-based solutions in the realm of sustainable development.
Josh Woodard
United States Agency for International Development (USAID)
Deepa Karthykeyan
Athena Infonomics LLC
Organiser(s): Instituto Nacional de Estadsticas (INE-Chile); Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); Agencia de Cooperacin Internacional para el Desarrollo, Chile; Ministry of Foreign Affairs, Mexico / International Organisation for Migration (IOM) / Environmental Systems Research Institute (Esri); AfroLeadership; PLACE; WorldPop/University of Southampton
The national statistical offices (NSO) face challenges posed by an increasingly demanding user base seeking access to a greater variety of data, more disaggregated and in a timelier manner. At the same time, NSO are confronted with the challenge of monitoring the Sustainable Development Goals (SDGs), making the need for more efficient and innovative methods to leverage large volumes of data available due to society's digital transformation urgent. In response to these evolving information requirements, NSO are adopting innovative approaches to harness alternative data sources and modern data processing and analysis methods. It is in this context that the National Institute of Statistics of Chile (INE) and the National Institute of Statistics and Geography of Mexico (INEGI) are collaborating on a bilateral project funded by the international development cooperation agencies of both countries (AGCID and AMEXID, respectively). The project aims to develop an open-source technological platform oriented towards integrating various sources of information to enhance the utilization of statistical office products. The technological platform built is based on a data lake logic, due to its virtues. To name a few, it allows: i) working with various formats of statistical and geospatial data, from traditional and non-traditional sources; ii) establishing workflows to systematically collect, store, process, analyze, and present information from internal and external data repositories; iii) preserving data lineage and integrity; and iv) chaining flows with visualization tools. The technological stack for the data lake, designed and implemented in collaboration with INEGI, involves the use of Dagster software for orchestrating the Extraction, Transformation, and Loading (ETL) pipeline. Then, in the final stage of the ETL, the data transformed from the original sources are stored as S3 objects in MinIO software, and then virtualized through the SQL engine Trino, which employs Hive as the technology for storing the virtualized data in tables optimized for massive queries. The component used to generate visualizations from the queries is Apache Superset. All components of the flow are deployed in individual Docker containers but communicate with each other. This allows a dashboard to be updated every time the ETL flow is executed. All technologies mentioned here are Open Source. The use case that will be reviewed in this demonstration is the calculation and exploitation of the Labor Turnover Index, constructed from the administrative records of workplace accidents and occupational diseases in Chile. / Few topics are as polarizing as migration, dangerously so in todays political climate. Next to climate change, to which it is also intricately tied, human mobility will continue to pervade almost every phenomenon of the future. Data shows that migration is inevitable, necessary and, when well-governed, desirable. Ninety-six (96.4) per cent of migration occurs through regular, documented pathways. Migration generates an annual economic output of around $9 trillion. Unprecedented labour shortages cost the worlds largest economies over $1 trillion/year. Remittances to low-and middle-income countries (USD 647) continue to overtake Foreign Direct Investments and Official Development Assistance. Migration is a fiscal necessity in economies with aging populations. And yet groundless rhetoric accuses migrants of simultaneously stealing jobs and sponging welfare, elevating crime levels, stealing resources, etc, none of which can be substantiated with data. Such empty rhetoric destabilizes politics and damages the potential that migrants bring to societies, and puts migrant rights and lives at risk to alarming levels (at least 60,000 people died since 2014). Data tells a critical story. Anchored within an UN agency, but branded neutrally, the Global Migration Data Portal unites and elevates publicly available data from around the world on to provide 360 insights that help to debunk and demystify migration, and that promote healthy, fact-based debates and narratives. The Portal aims to make data accessible and easy for decision-makers, while also supporting journalists for stronger, data rich reporting on migration. The interactive exhibit will showcase its dashboard covering 80 indicators for international migration, its national data section, a new interactive climate mobility impacts tool to anticipate vulnerable populations exposed to climate hazards up until 2090, and the most robust collection of SDG data relevant to migration, wherein it explains data priorities, strengths and weaknesses for each SDG goal and target, and links to positive examples with hopes to inspire better national data collection. Through the exhibit, participants will learn about the innovative approaches to fill data gaps, promote accessibility and data literacy, and consolidate sources for the common good of migration. Through the session and engagement with participants, as well as participation throughout the Forum, the Portal team will seek out ideas and opportunities to better populate its sections; and, while the Portal has established itself as a trusted resource, with an average 80k monthly users, it seeks a stronger approach to measure impact on decisions and migration narratives. The sessions and networking will help the Portal team considerably with inspiration, ideas and innovations that will help the Portal best fill its mission to help societies harness the potential of migration and catalyze policies and decisions that help to save and protect migrant lives. / Climate change impacts us all, but how does your city and your neighbourhood stack up against other communities, or even other countries? And how does this impact equity and equality? Not everyone in your city is equally affected by climate-related problems such as urban heat or flooding. Detailed statistical data are needed in combination with geospatial data. Climate change is inherently spatialshifts in weather patterns, and in human and industrial behavior, are creating new hazards around the globe. Geographic information system (GIS) technology helps us see where risks are or are likely to be, analyze impacts, prioritize management strategies, and plan a sustainable future. GIS is capable of analyzing and comparing multiple data themes, among those population and related demographics. This workshop walks participants through the steps to use a global collection of open and ready-to-use geographic and statistical data to derive input variables needed to calculate a heat resilience index (HRI). By combining these data we can add context to risk: what is happening, where, and who is affected. We will derive land surface temperature using Landsat imagery, map tree canopy within a city using European Space Agencys land cover map and then calculate population density (whos affected) using WorldPop data. Alternative population data examples also shown. The resulting intervention-focused map can be used by local communities to prioritize census tracts for tree planting (or adding other shade) as one mitigation against urban heat island effects. We are focused on supporting decision-makers in Africa however this methodology and the results apply equally around the globe. Our work involves NGOs, universities, and companies working together to provide data-driven capacity development. The objective of this workshop is to provide participants with the knowledge and workflow to make real-world decisions using a combination of statistics data and analysis tools, and to disseminate this information in an impactful way to decision makers and the wider public. Statistical data in context and in action!
Michael Gould
Environmental Systems Research Institute (Esri)
Charlie Martial Ngounou
AfroLeadership
Elio Atenógenes Villaseñor García
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)
Ignacio Agloni
Instituto Nacional de Estadisticas (INE-Chile)
Kerry Maze
International Organisation for Migration (IOM)
Asha Manoharan
International Organisation for Migration (IOM)
Organiser(s): United Nations Population Fund (UNFPA); Government of Bangladesh; Ghana Statistical Service (GSS); World Bank (WB); United Nations Statistics Division (UNSD-DESA); World Health Organization (WHO); United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / 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.
Priscilla Idele
United Nations Population Fund (UNFPA)
Daniel Taccari
United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL)
Haishan Fu
World Bank (WB)
Samuel Kobina Annim
Ghana Statistical Service (GSS)
Haoyi Chen
United Nations Statistics Division (UNSD-DESA)
Sebastian Garcia Saiso
Pan American Health Organization (PAHO)
Organiser(s): Swiss Federal Statistical Office (SFSO); United Nations Educational, Scientific and Cultural Organization (UNESCO); Oficina Nacional de Estadstica (ONE-Repblica Dominicana); Office of the United Nations Secretary-General (EOSG); United Nations Statistics Division (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.
Eric Mayoraz
Embassy of Switzerland
Silvia Montoya
United Nations Educational, Scientific and Cultural Organization (UNESCO), Institute for Statistics
José Rosero Moncayo
Food and Agriculture Organization of the United Nations (FAO)
Miosotis Rivas Peña
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Stefan Schweinfest
United Nations Statistics Division (UNSD-DESA)
Georges-Simon Ulrich
Swiss Federal Statistical Office (SFSO)
Organiser(s): Organizacin Nacional de Mujeres Indgenas Andinas y Amaznicas del Per (ONAMIAP); Minority Rights Group International; United Nations Population Fund (UNFPA); Ministry of Foreign Affairs, Ireland
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 November 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
Mónica Pinilla-Roncancio
Universidad de los Andes
Danitza Quispe Huillca
Organización Nacional de Mujeres Indígenas Andinas y Amazónicas del Perú
Romesh Silva
United Nations Population Fund (UNFPA)
Diana Byanjeru
Uganda Bureau of Statistics (UBOS)
Organiser(s): Vital Strategies; Instituto Nacional de Salud, Colombia; Ministry of Health, Kenya; Department of Health, Philippines
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
Farnaz Malik
Vital Strategies
Julieta Lomelin Gascon
Vital Strategies
Carlos Castañeda Orjuela
National Institute of Health, Colombia
Lester M. Tan
Department of Health, Philippines
Ayub Manya
Ministry of Health, Kenya
Organiser(s): United Nations (UN); Office of the United Nations Secretary-General (EOSG); William and Flora Hewlett Foundation; Makerere University; United Nations Global Pulse (UNGP); United Nations Office for Project Services (UNOPS); United Nations Development Programme (UNDP)
Data and digital increasingly pivotal for economic progress, underlining the critical need for effective public data and digital strategies. This session focuses on sharing best practices of national data and digital strategies in Africa, highlighting the transformative potential of data in driving development aligned with the Sustainable Development Goals (SDGs). It aims to illuminate the journey from regional to local levels, exploring the benefits and challenges of national data strategies and the importance of South-South cooperation in building equitable data ecosystems.
In a panel conversation, we will delve into insights, challenges, and success stories from drafting national data strategies and building data ecosystems. We will include a spotlight on Uganda's inclusive national data strategy process that brought together government, academia, the UN, civil society, and the private sector. The session explores how a strategic, long-term vision involving diverse stakeholders can translate African Union regional frameworks into national and city-level adoption.
Join us to explore the latest in data strategies and be inspired to build coalitions advancing data ecosystems in your context. Let’s accelerate regional and local data initiatives, setting the stage for a thriving, data-driven economy in Africa.
Talea Von Lupin
United Nations Global Pulse (UNGP)
Martin Gordon Mubangizi
United Nations Global Pulse (UNGP)
Aminah Zawedde
Ministry of ICT and National Guidance
Shamira Ahmed
Data Economy Policy Hub (DepHUB)
Christopher Maloney
William and Flora Hewlett Foundation
Al Kags
Open Institute
Organiser(s): IDinsight; Danish Human Rights Institute; 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
Stinne Skriver Jørgensen
Danish Human Rights Institute
Andrés Sebastián Salazar Mejía
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Organiser(s): Departamento Nacional de Planeacin (DNP-Colombia); World Bank (WB); Inter-American Development Bank (IDB); United Nations World Food Programme (UNWFP); United Nations Children's Fund (UNICEF) / Data-Pop Alliance; Gerando Falces; Massachusetts Institute of Technology (MIT); TETO TECHO; Humanitarian OpenStreetMap (HOTOSM) / Cambridge SupTech Lab; Cambridge Centre for Alternative Finance; University of Cambridge / Banco de la Repblica, Colombia; Inter-American Development Bank (IDB)
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)
Francisco Javier Duque
Inter-American Development Bank (IDB)
Agustina Pérez
Data-Pop Alliance
Organiser(s): Administrative Planning Department Medellín (DAP)
Ana Catalina Ochoa Yepes
Departamento Administrativo de Planeacion de Medellin
Organiser(s): United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL); United Nations Entity for Gender Equality and the Empowerment of Women (UN Women); 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 Peña
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Karen García
United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL)
Camilo Andres Mendez Coronado
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Andrea Llerena
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
Organiser(s): World Bank (WB) / Expertise France; Institut national de la statistique et des tudes conomiques (INSEE-France); Cote d'Ivoire Customs Administration, Cte dIvoire / 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)
Lea Voigt
Deutsche Gesellschaft fur Internationale Zusammenarbeit (GIZ)
Mark Tyrrell
GFA Consulting Group GmbH
Clement Dupont
Expertise France
Olivier Dupriez
World Bank (WB)
Aivin V. Solatorio
World Bank (WB)
Organiser(s): Swiss Federal Statistical Office (FSO); Statistics Poland; International Association for Official Statistics (IAOS); Polish Statistical Association
[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)
Olga Świerkot- Strużewska
Statistics Poland
Sian Rasdale
UK Foreign, Commonwealth and Development Office (FCDO)
Dominik Rozkrut
Statistics Poland
Georges-Simon Ulrich
Swiss Federal Statistical Office (SFSO)
Anu Peltola
United Nations Conference on Trade and Development (UNCTAD)
Elsa Dhuli
Institute of Statistics (INSTAT-Albania)
Organiser(s): United Nations Development Programme (UNDP), Global Policy Centre for Governance; Departamento Administrativo Nacional de Estadstica (DANE-Colombia); United Nations Office on Drugs and Crime (UNODC); Ghana Statistical Service (GSS); Kenya National Commission on Human Rights; Observatorio para la Equidad de la Mujer (OEM); Red de Ciudades Cmo Vamos; Kenya National Bureau of Statistics (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)
Sarah Omache
Kenya National Bureau of Statistics (KNBS)
Arvinn Gadgil
United Nations Development Programme (UNDP)
Nikita Simonne Dupuis-Vargas Latorre
Colombia Diversa
Samuel Kobina Annim
Ghana Statistical Service (GSS)
Angela Me
United Nations Office on Drugs and Crime (UNODC)
Organiser(s): United Nations Population Fund (UNFPA); Open Data Watch (ODW); Development Initiatives (DI); United Nations Development Programme (UNDP); United Nations Statistics Division (UNSD-DESA); Global Health Advocacy Incubator; Department of National Registration, Maldives; HEPS-Uganda; Pan American Health Organization (PAHO)
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.
Vandana Shah
Global Health Advocacy Incubator
Deirdre Appel
Open Data Watch (ODW)
Romesh Silva
United Nations Population Fund (UNFPA)
Om Bera
Global Health Advocacy Incubator
Organiser(s): United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL); United Nations Entity for Gender Equality and the Empowerment of Women (UN Women); 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 Peña
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Gustavo Marulanda
Agustin Codazzi Geographic Institute
Papa Seck
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
Andrea Ramirez Pisco
National Administrative Department of Statistics (DANE)
Terresa Guerra
Global Centre of Excellence in Gender Statistics
Bibiana Aído Almagro
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
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.
Gaurav Godhwani
CivicDataLab
Felipe J Colón-González
Wellcome Trust
Javier Teran
United Nations Office for the Coordination of Humanitarian Affairs (OCHA)
Krista Jones Baptista
Data2X
Silvana Fumega
Global Data Barometer
Eugenia Olliaro
United Nations Children's Fund (UNICEF)
Organiser(s): Equilibrium Social Development Consulting (SDC); Norwegian Refugee Council (NRC); Ministry of Health, 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
Jimmy Ogwal
Ministry of Health, Uganda
Hector Ibarra
Norwegian Refugee Council (NRC)
Karen Chavez
Global Partnership for Sustainable Development Data
Organiser(s): School of Data Science, University of Virginia; Center for Democracy and Technology; Federal University of Rio de Janeiro / Red Dot Foundation / United Nations Population Fund (UNFPA); Universit de Montral / Partnership in Statistics for Development in the 21st Century (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
Jess Reia
University of Virginia
Carlos Arturo Ramirez Hernandez
Universite de Montreal
Sophie Kenneally
Partnership in Statistics for Development in the 21st Century (PARIS21)
Jackeline Romio
United Nations Population Fund (UNFPA)
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.
B. Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Sabina Alkire
Oxford Department of International Development (OPHI)
Luis Felipe López Calva
World Bank Group
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
Olga Barquero
Instituto Nacional de Estadisticas (INE-Chile)
Ashiyath Shazna
National Bureau of Statistics (NBS-Maldives)
Beverley Hatcher-Mbu
Development Gateway (DG)
Lorenz Noe
Open Data Watch (ODW)
Renata Bielak
Statistics Poland
Natalia Carfi
Open Data Charter (ODC)
Grace Mphetolang
Statistics Botswana
Organiser(s):
DEMO 1: United Nations Children's Fund (UNICEF); World Health Organization (WHO); Food and Agriculture Organization of the United Nations (FAO)
DEMO 2: Fundacin Saldarriaga Concha; Datasketch
DEMO 3: Pan American Health Organization (PAHO); Ministry of Health, Paraguay; HISP Colombia; University of Oslo
DEMO 1: Data Strings is an interactive, analog voting system and real-time data visualization made with threads. Designed by Domestic Data Streamers, a renowned data visualization studio based in Barcelona, the core objective of this installation is to support the Healthy Diets Monitoring Initiative (HDMI)—a collaborative project led by FAO, UNICEF, and WHO. It seeks to highlight the lack of global consensus on what constitutes a healthy diet and underscores the urgency of establishing a unified understanding of healthy dietary practices for both people and the planet. This vibrant display transforms data into an interactive and engaging experience, encouraging participants to explore social trends and collective insights through individual expression, with a focus on food and healthy diets.
DEMO 2: 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.
DEMO 3: 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)
Chika Hayashi
United Nations Children's Fund (UNICEF)
Silvana Zapata
Pan American Health Organization (PAHO)
Ivan Dario Gomez
Fundacion Saldarriaga Concha
Juan Pablo Espinoza
Pan American Health Organization (PAHO)
Fabián Ordoñez
HISP COLOMBIA
Juan Pablo Marin Diaz
Datasketch
Juan Felipe Aguilera Millacura
Pan American Health Organization (PAHO)
Juliana Galvis Nieto
Datasketch
Marko David García
HISP COLOMBIA
Organiser(s): UN World Data Forum Programme Committee (UNWDF PC)
Esteban Gallego Restrepo
Comfenalco
Leota Aliielua Salani
Samoa Bureau of Statistics
Christopher Maloney
William and Flora Hewlett Foundation
Caren Grown
Brookings Institution
B. Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Rolando Ocampo
United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL)
Catalina Restrepo Mejia
Makaia
Organiser(s): UN World Data Forum Programme Committee (UNWDF PC)
Roeland Beerten
National Bank of Belgium
Stefaan Verhulst
The Governance Lab (GovLab)
Dominik Rozkrut
Statistics Poland
Angela Yesenia Olaya Requene
Ministry of Science, Technology and Innovation of Colombia
Priscilla Idele
United Nations Population Fund (UNFPA)
Shaida Badiee
Open Data Watch (ODW)
Natalia Carfi
Open Data Charter (ODC)
Organiser(s): NoBrainerData; Oficina Nacional de Estadstica (ONE-Repblica Dominicana)-Statistical Conference of the Americas; Statistics Department of Montserrat; Data-Pop Alliance; Central Statistical Office (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 Peña
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Emmanuel Letouze
Data-Pop Alliance
Jose Miguel Guzman
NoBrainerData
Halim Brizan
Central Statistical Office (CSO-Grenada)
Organiser(s): IMPACT Initiatives; Inclusive Data Charter; International Data Alliance for Children on the Move; Save the Children; REACH Initiative; 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)
Omar Ali
Institut de la Statistique de Djibouti (INSTAD)
Claudia Cappa
United Nations Children's Fund (UNICEF)
Ivana Hajzmanova
Internal Displacement Monitoring Centre (IDMC)
Mike Bolton
Inclusive Data Charter
Cosima Cloquet
IMPACT Initiatives
Jeremías Pabón
Save the Children
Organiser(s): United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL); European Statistical Office (Eurostat); Instituto Nacional de Estadstica (INE-Paraguay); Instituto Brasileiro de Geografia e Estatstica (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)
Claudio Stenner
Instituto Brasileiro de Geografia e Estatistica (IBGE)
Hannes Reuter
European Statistical Office (Eurostat)
Iván Ojeda
Instituto Nacional de Estadistica (INE-Paraguay)
Rolando Ocampo
United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL)
Organiser(s): Aapti Institute; Robert Bosch Stiftung 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.
Soujanya Sridharan
Aapti Institute
Mariana Rozo Paz
Datasphere Initiative
Stefaan Verhulst
The Governance Lab (GovLab)
Rohan Pai
Aapti Institute
Aaron Martin
University of Virginia
Organiser(s): Research ICT Africa; United Nations Economic Commission for Africa (UNECA); International Telecommunication Union (ITU); Regional Center for Studies for the Development of the Information Society (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
Linah Ngumba
Kenya National Bureau of Statistics (KNBS)
Fabio Senne
Regional Center for Studies for the Development of the Information Society (Cetic.br)
Esperanza Magpantay
International Telecommunication Union (ITU)
Andrew Partridge
Research ICT Africa
Soraya Husain Talero
Fundacion WWB
Mactar Seck
United Nations Economic Commission for Africa (UNECA)
Organiser(s): Research Institute of Statistical Sciences, National Bureau of Statistics (NBS-China) / Oficina Nacional de Estadstica (ONE-Repblica Dominicana) / Gallup, Inc.; Lloyd's Register Foundation; International Labour Organization (ILO)
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 Fabián
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Preslav Tonkov
Gallup, Inc.
Ed Morrow
Lloyd’s Register Foundation
Ran Tao
Research Institute of Statistical Sciences, National Bureau of Statistics (NBS-China)
Organiser(s): Ministrio dos Direitos Humanos e Cidadania; United Nations (UN); 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
Pedro de Lemos MacDowell
Ministerio dos Direitos Humanos e Cidadania
Organiser(s): Global Partnership for Sustainable Development Data (GPSDD); Presidential Agency for International Cooperation (APC-Colombia); Bangladesh Bureau of Statistics (BBS); UK Foreign, Commonwealth and Development Office (FCDO); MSD United Way Vietnam; International Civil Society Centre
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)
Md. Alamgir Hossen
Bangladesh Bureau of Statistics (BBS)
Eleonora Betancur González
Presidential Agency for International Cooperation (APC)
Ling Phuong Nguyen
MSD United Way Vietnam
Husam Jouda
Islamic Relief Worldwide (IRW)
Organiser(s): Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); Universidad EAFIT; European Space Agency (ESA); University of 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
Dennis Mwendwa Mwaniki
United Nations Human Settlements Programme (UN-Habitat)
Raian Vargas Maretto
University of Twente
Andrea Ramirez Santiago
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)
Julio Pedrassoli
Mapbiomas
Jose Jaime Samper Escoba
University of Colorado
Juan Pablo Ospina Zapata
Universidad Eafit
Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia) / Instituto Nacional de Estadstica y Censos (INEC-Ecuador); Crece sin Desnutricin Infantil, Ecuador; Coorporacin Andina de Fomento; Vital Strategies / United Nations Development Programme (UNDP) / United Nations Population Fund (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 November 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
Andrés Alfredo Carrasco Zapata
Crece sin Desnutricion Infantil
Sebastián Ruiz Santa-Cruz
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Jesus Pacheco
United Nations Development Programme (UNDP)
Luis Felipe Jiménez
Consejo Nacional de Poblacion (CONAPO)
Romesh Silva
United Nations Population Fund (UNFPA)
Organiser(s): United Nations Development Programme (UNDP); Federación de Aseguradores Colombianos (Fasecolda); Banca de las Oportunidades; National Advisory Board for Impact Investment (NAB)
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
Gustavo Morales
Fasecolda
Juan Carlos Muñoz
Universidad Eafit
Paola Arias
Banca de las Oportunidades Colombia
Casey Kearney
School of Public Policy, London School of Economics (LSE)
Lina Fernández Pizano
United Nations Development Programme (UNDP)
Andrea Garcia Tapia
Crisis Ready
Organiser(s): Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); Universidad EAFIT; European Space Agency (ESA); University of 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
Sandra Milena Guinguer Pineda
Metro of Medellin
Ronald Jansen
United Nations Statistics Division (UNSD-DESA)
Andrea Ramirez Santiago
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)
Juan Guillermo Gil Garcia
Alcaldia de Pereira
Juan Manuel D'Attoli
Registro Nacional de Barrios Populares (RENABAP)
Juan Pablo Ospina Zapata
Universidad Eafit
Organiser(s): Institut Ciencis Marines; Humanitarian OpenStreetMap (HOTOSM); International Institute for Applied Systems Analysis (IIASA), Iberoamerican Participatory Science Network (RICAP); United Nations Human Settlements Programme (UN-Habitat); Citizen Science Global Partnership (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.
Samuel Kobina Annim
Ghana Statistical Service (GSS)
Dilek Fraisl
International Institute for Applied Systems Analysis (IIASA)/Citizen Science Global Partnership (CSGP)
Steve MacFeely
Organisation for Economic Co-operation and Development (OECD)
Austin Mast
Florida State University
Fabrizio Scrollini
Humanitarian OpenStreetMap (HOTOSM)
Julieth Solano
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Organiser(s): Humanitarian OpenStreetMap (HOTOSM); Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Oficina Nacional de Estadistica (ONE Dominican Republic); Centro de Estudios con Poblaciones, Movilizaciones y Territorio; Crisis Ready; Global Partnership for Sustainable Development Data (GPSDD); United Nations Office for the Coordination of Humanitarian Affairs (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.
Céline Jacquin
Humanitarian OpenStreetMap (HOTOSM)
Fredy Rodriguez
Global Partnership for Sustainable Development Data (GPSDD)
Javier Teran
United Nations Office for the Coordination of Humanitarian Affairs (OCHA)
Paola Rodríguez
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Leonardo Jimenez
Centro de Estudios con Poblaciones, Movilizaciones y Territorio (POMOTE)
Elkin Ernesto Ramirez Niño
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Andrea Garcia Tapia
Crisis Ready
Organiser(s): Ruff Institute of Global Homelessness (IGH), DePaul University; 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)
Jose Antonio Mejia
Inter-American Development Bank (IDB)
Stephan de Beer
University of Pretoria
Antonio Manzi
Ministerio de Desarrollo Social de Uruguay (MIDES)
Julia Wagner
Ruff Institute of Global Homelessness (IGH), DePaul University
Santiago Hincapie Potes
Google
Organiser(s): World Bank United Nations High Commissioner for Refugees (UNHCR) Joint Data Center on Forced Displacement (JDC); IMPACT Initiatives; 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.
Francisco Reynaldo Guajardo Martínez
Instituto Estatal de Transparencia, Acceso a la Informacion y Proteccion de Datos Personales (INFONL)
Paddy Brock
World Bank (WB)
Mário da Silva Fidalgo
IMPACT Initiatives
Organiser(s): United Nations Entity for Gender Equality and the Empowerment of Women (UN Women); Partnership in Statistics for Development in the 21st Century (PARIS21); World Bank (WB); 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.
Jessamyn Encarnacion
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
Papa Seck
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
Shaida Badiee
Open Data Watch (ODW)
Sophie Kenneally
Partnership in Statistics for Development in the 21st Century (PARIS21)
Organiser(s): TBC
Mónica Quiroz
Administrative Planning Department of Medellin (DAP)
Paula Palacio
Metropolitan Area of the Aburra Valley
Carlos Quintero
Administrative Department of Risk of Disasters Management, Medellín
Organiser(s): Flowminder Foundation
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
Cathy Riley
Flowminder Foundation
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.
Lucía Tróchez Ardila
PIT Policy Lab
Mariana Rozo Paz
Datasphere Initiative
Santiago Plata
United Nations Development Programme (UNDP)
Organiser(s): HelpAge International; Office for National Statistics (ONS-UK); Titchfield City Group; China National Committee on Ageing (CNCA)
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.
Marcela Bustamante
HelpAge International
Juan Guillermo Rubio
HelpAge International
Emma Rourke
Office for National Statistics (ONS-UK)
Nikki Shearman
Office for National Statistics (ONS-UK)
Shaozhong Wang
China National Committee on Ageing (CNCA)
Organiser(s): Instituto Nacional de Estadstica (INE-Uruguay); United Nations Statistics Division (UNSD-DESA); Departamento Administrativo Nacional de Estadstica (DANE-Colombia); United Nations Population Fund (UNFPA); WorldPop/University of Southampton; United Nations High Commissioner for Refugees (UNHCR); Institut national de la statistique (INS-Cameroun)
Census and national survey data enable decision-makers to improve lives and livelihoods by providing a context to act more effectively and specifically. Censuses and national surveys are important tools for understanding the spatial population distribution and its characteristics, and accurate demographic information is essential for good governance, development planning, risk reduction and crisis response. However, there are important obstacles that national censuses and surveys face at the time of planning and execution, which if not well resolved then generate bias in the results.
In this session, national experiences will be presented on two innovations in censuses and surveys: one on geospatial tools and techniques and the other on data collection through the CAWI strategy.
To support innovation in censuses and surveys, WorldPop developed the Pre-EA package, a geospatial package, as part of a set of tools that countries can use to modernize and implement census and survey planning. The Pre-EA tool supported Benin's first digital census and helped generate automatic census enumeration areas (EAs) for the entire country. In Colombia, the National Statistics Office (DANE) used the tool to help prepare for the 2024 economic census. Cameroon also benefited from the tool for creating a customised national sampling frame for surveying refugees. The package was explored in Nigeria for census planning. In all countries, the tool outperformed traditional methods by producing accurate outputs while significantly reducing labour and budget.
Regarding the CAWI strategy, the 2020 census round in Latin American and Caribbean region has shown that web-based censuses are an innovative data collection strategy. Countries like Argentina and Uruguay achieved web response rates exceeding 50%, enhancing the coverage of the statistical operation. This approach not only offers privacy and security to respondents but also allows them the flexibility and convenience to complete the census at their own pace and schedule. It also reduces project risks related to human resources and logistics. The transmission and storage of data through secure online platforms could potentially offer stronger privacy safeguards compared to traditional methods. However, this approach also introduces new challenges. These include issues related to the design and usability of self-administered questionnaires, IT infrastructure, communication strategy, information security, data quality, and georeferencing of housing units.
The objective of the session is to briefly present the advantages and key aspects of these innovations and learn about national application experiences:
Based on the Pre-EA tool developed by WorldPop, the national experiences of Nigeria, Colombia, Benin and Cameroon will be shown.
For CAWI, Uruguay's national experience in the 2023 Census will be shown and two key aspects in any digital survey or census strategy will be delved into: usability and communication.
Sabrina Juran
United Nations Population Fund (UNFPA)
Enzo Rossi
Devotta AS University of Oslo (UiO)
Sarchil Qader
WorldPop/University of Southampton
Hisham Galal
United Nations High Commissioner for Refugees (UNHCR)
María Olmedo Malagon
U.S. Census Bureau
Elkin Ernesto Ramirez Niño
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Lucía Pérez
Instituto Nacional de Estadística (INE-Uruguay)
Organiser(s): Open Data Watch (ODW); World Bank (WB); Data2X;United Nations Entity for Gender Equality and the Empowerment of Women (UN Women); Bureau of Statistics of Lesotho; Equal Measures 2030
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).
Shaida Badiee
Open Data Watch (ODW)
Krista Jones Baptista
Data2X
Jessamyn Encarnacion
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
Albert Motivans
Equal Measures 2030
Divyanshi Wadhwa
World Bank (WB)
Lehlohonolo Takalimane
Statistics Sierra Leone
Organiser(s): United Nations High Commissioner for Refugees (UNHCR); United Nations Children's Fund (UNICEF); United Nations World Food Programme (UNWFP)
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)
Matheus Soldi
United Nations High Commissioner for Refugees (UNHCR)
Annette Castillo
United Nations World Food Programme (UNWFP)
Carmen Asenjo Sierra
United Nations High Commissioner for Refugees (UNHCR)
Liliana Carvajal
United Nations Children's Fund (UNICEF)
Juan Pablo Terminiello
United Nations High Commissioner for Refugees (UNHCR)
Organiser(s): African Union Development Agency, New Partnership for Africa's Development (AUDA-NEPAD) / Directorate of National Statistics (DNS-Somalia) / Data Economy Policy Hub (DepHUB); European University Institute
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
Shamira Ahmed
Data Economy Policy Hub (DepHUB)
Mc Neil Mhango
African Union Development Agency, New Partnership for Africa's Development (AUDA-NEPAD)
Organiser(s): World Bank (WB); International Telecommunication Union (ITU); Ministry of Economy and Digital Transformation, Spain; Telefonica; United Nations Environment Programme (UNEP); African Water and Sanitation Association (AFWASA); Athena Infonomics LLC; Independent; Aapti Institute; 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)
Deepa Karthykeyan
Athena Infonomics LLC
Rohan Pai
Aapti Institute
Joone Kim Lopez
Moulton Nigel Water District
Amrita Nanda
Aapti Institute
Esperanza Magpantay
International Telecommunication Union (ITU)
Organiser(s): Departamento Nacional de Planeacin (DNP-Colombia); CND; Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Ministry of Information Technologies and Communications (MINTIC-Colombia), Administrative Department of the Presidency of the Republic (DAPRE-Colombia)
Saúl Kattan
National Data Committee (CND)
Viviana Vanegas
National Planning Department, Colombia
Angie Lecot
AGESIC
Fahad bin Abdullah Al-Dossari
General Authority for Statistics (GAStat-Saudi Arabia)
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 Rodríguez
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Miosotis Rivas Peña
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Crismairy Jiménez
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Carlos Paulino
Emergency Operations Center (COE)
Organiser(s): Partnership in Statistics for Development in the 21st Century (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 Jütting
Partnership in Statistics for Development in the 21st Century (PARIS21)
Organiser(s): Universidad de los Andes; Restless Development; Global Partnership for Sustainable Development Data (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.
Aaron Zea
Universidad de los Andes
Ronald Kasule
Global Partnership for Sustainable Development Data (GPSDD)
Geoffrey Gichunji Kariuki
Kenya National Bureau of Statistics (KNBS)
Fernande Alvarez Molina
Red Popular trans
Maria Paula Hernandez Ruiz
Global Partnership for Sustainable Development Data (GPSDD)
Paula Robledo Silva
Presidencia de la República
Ghislain Irakoze
Global Partnership for Sustainable Development Data (GPSDD)
Organiser(s): United Nations Entity for Gender Equality and the Empowerment of Women (UN Women); United Nations Office for the Coordination of Humanitarian Affairs (OCHA); African Development Bank (AfDB); CLEAR Global; Government of Uganda, Uganda; Central Statistical Agency (CSA-Ethiopia); United Nations Population Fund (UNFPA); International Organisation for Migration (IOM); United Nations High Commissioner for Refugees (UNHCR)
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. Presenters and panelists will explore the opportunities and impediments for advancing interoperability between baseline population and mobility data across a number of settings including Haiti, Sudan, Mozambique and Philippines. The importance of gender and intersectional perspectives will be reviewed and their implications for equity and inclusion will be explored in humanitarian, fragile and displacement contexts.
The session will begin with two lightning presentations by UNFPA and UN Women 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. The session will then unpack these issues further with an expert panel discussion with colleagues from OCHA, the Haitian Institute for Statistics, DataKind and GenCap and interactive discussion with UNWDF delegates. The intended outcome of the session will be peer-to-peer learning and the identification of scalable lessons to advance data interoperability across the humanitarian, peace and development continuum that facilitates gender and intersectional inclusion.
Isabella Schmidt
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
Romesh Silva
United Nations Population Fund (UNFPA)
Priscilla Idele
United Nations Population Fund (UNFPA)
Javier Teran
United Nations Office for the Coordination of Humanitarian Affairs (OCHA)
Kerry Maze
International Organisation for Migration (IOM)
Wilson Fievre
Institut Haïtien de statistique et d’informatique (IHSI)
Tatiana Aguilera
GenCap
Organiser(s): Pacific Community (SPC); Vanuatu Bureau of Statistics; Samoa Bureau of Statistics; Bureau of Statistics and Plans (BSP-Guam); Institut de la statistique de la Polynsie Franaise
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)
Leota Aliielua Salani
Samoa Bureau of Statistics
Laurent Pellet
Institut de la Statistique de la Polynesie Fran
Peter Ellis
Pacific Community (SPC)
Matthew Santo
Bureau of Statistics and Plans (BSP-Guam)
Organiser(s): United Nations Development Programme (UNDP); UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC)
Context
The rapid increase in Earth observation data presents an unparalleled opportunity to transform the monitoring of the Earth’s 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 us 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 Ecuador and Peru are using spatial data to take action for people and the planet.
The session will explore the applications in Ecuador and Peru of interconnected tools and digital resources designed to support national needs, such as the UN Biodiversity Lab (UNBL), NASA Life on Land Project, and integrated spatial planning through the Maps of Hope approach. Through lightning presentations and panel discussion, it will reveal how spatial data are supporting national planning, implementation and reporting on the Sustainable Development Goals (SDGs) and the Kunming-Montreal Global Biodiversity Framework (KMGBF) of the Convention on Biological Diversity in Ecuador, Peru, and beyond. The event will be held in English and Spanish with simultaneous interpretation.
Outputs
Adrian Neyra
Ministerio del Ambiente, Peru
Di Zhang
United Nations Development Programme (UNDP)
Anne Virnig
United Nations Development Programme (UNDP)
Daniel Borja
Ministerio del Ambiente, Agua y Transición Ecológica del Ecuador
Organiser(s): Members of the Expert Group on Refugee, IDP & Stateless Statistics (EGRISS) and the Collaborative on Administrative Data including: African Union Commission (AUC); Instituto Nacional de Estadistica (INE-Honduras); Joint IDP Profiling Service (JIPS); United Nations Statistics Division (UNSD-DESA); United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL); United Nations Refugee Agency (UNHCR)
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)
Natalia Baal
Expert Group on Refugee, IDP and Statelessness Statistics (EGRISS)
Eugenio Sosa
Instituto Nacional de Estadistica (INE-Honduras)
Sebastián Ruiz Santa-Cruz
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Vibeke Oestreich Nielsen
United Nations Statistics Division (UNSD-DESA)
Diana Correal
Unidad para la Atención y Reparación Integral a las Víctimas (UARIV)
Sharmarke Mohamed Farah
Somalia National Burea of Statistics
Organiser(s): Statistics Indonesia (BPS); United Nations Children's Fund (UNICEF) / United Nations Office on Drugs and Crime (UNODC) / CAGIDEV-COM / Office for National Statistics (ONS-UK); Ordnance Survey, United Kingdom of Great Britain and Northern Ireland
TALK 1: 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.
TALK 2: 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.
TALK 3: 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.
TALK 4: 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
Fiona James
Office for National Statistics (ONS-UK)
Nasiya Alifah Utami
Statistician - Statistics Indonesia (BPS)
Coen Bussink
United Nations Office on Drugs and Crime (UNODC)
Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia); International Institute for Sustainable Development (IISD); International Civil Society Centre; Management And Sustainable Development Institute (Msd); The NGO Forum on Cambodia; General Statistics Office (GSO-Viet Nam); Inter-American Development Bank (IDB); United Nations Economic Commission for Latin America and the Caribbean (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 García
United Nations Economic Commission for Latin America and the Caribbean (UNECLAC / CEPAL)
Olga Barquero
Instituto Nacional de Estadisticas (INE-Chile)
Catalina Spinel
Candid
B. Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Stefan Jungcurt
International Institute for Sustainable Development (IISD)
Nadin Medellin
Gender and Diversity Specialist - Inter-American Development Bank (IDB)
Sara Keilholtz
Women's Funding Network
Organiser(s): Minsitry of Science, Technology and Innovation, Colombia
Lautaro Matas
Red latinoamericana de la ciencia abierta LAReferencia
Organiser(s): World Economic Forum (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)
Karla Yee Amezaga
World Economic Forum (WEF)
JoAnn Stonier
Mastercard
Angela Oduor Lungati
Ushahidi Inc
Lauren Woodman
DataKind
Organiser(s): University of Vienna; Digital Transformations for Health (DTH) Lab
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
Seliem El-Sayed
University of Vienna
Organiser(s): UN World Data Forum Programme Committee (UNWDF PC)
Supporting global, regional, national and sub-national data ecosystems in the implementation of the Cape Town Global Action Plan including sustainable finance for data and statistics programmes at all levels of organization
In today's interconnected world, data have emerged as a cornerstone of modern society, driving progress, innovation and informed decision-making across all sectors. From shaping public policies to fueling scientific research and innovation, the availability and utilization of high-quality data have become indispensable assets in addressing complex societal challenges and driving sustainable development.
In the pursuit of sustainable development, data partnerships play a critical role in addressing multifaceted challenges and advancing collective goals. Sustainable development encompasses a wide array of interconnected issues, including poverty alleviation, healthcare access, environmental conservation, gender equality, and economic growth. No single entity possesses the comprehensive data necessary to tackle these complex issues alone, which makes data partnerships particularly relevant in our current context.
Thematic Area 4 covers efforts to harness the data revolution and contribute to the implementation of the Cape Town Global Action Plan for Sustainable Development Data to create more resilient national data ecosystems that can weather crises during conflicts and emergencies. This plenary session aims to focus on the key role partnerships play in a more equitable data ecosystem. Key topics covered in the interventions will highlight the benefits of national statistical office leadership toward improved coordination and cooperation mechanisms at all levels. Through sustainable investments capacity and capability improvements can be leveraged and integrate statistical capacity development into planning, strategic investment in statistical and data systems.
There are 19 parallel sessions under Thematic Area 4, addressing the various aspects of Effective partnerships for better data and a more equitable data ecosystem.
Johannes Jütting
Partnership in Statistics for Development in the 21st Century (PARIS21)
Haishan Fu
World Bank (WB)
Eleonora Betancur González
Presidential Agency for International Cooperation (APC)
Adrienne Pizatella
Bloomberg Philanthropies
Samuel Kobina Annim
Ghana Statistical Service (GSS)
Claire Melamed
Global Partnership for Sustainable Development Data (GPSDD)
Carlos Escapa
Amazon Web Services
Tim Hemmings
British Embassy in Colombia
Organiser(s): United Nations Children's Fund (UNICEF); World Bank (WB); Organisation for Economic Co-operation and Development (OECD); University of Oslo
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)
Jonathan Challener
Organisation for Economic Co-operation and Development (OECD)
Yves Jaques
United Nations Children's Fund (UNICEF)
Miosotis Rivas Peña
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Viviana Cañon Tamayo
United Nations Children's Fund (UNICEF)
Holly Krambeck
World Bank (WB)
Organiser(s): United Nations Children's Fund (UNICEF); United Nations Economic Commission for Latin America and the Caribbean (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)
Aylin Flores Hinojosa
Instituto Nacional de Estadisticas (INE-Chile)
Jenneke Le Moullec
United Nations Children's Fund (UNICEF)
Liliana Carvajal
United Nations Children's Fund (UNICEF)
Valentina Santo
Instituto Nacional de Estadistica (INE-Uruguay)
Organiser(s): World Bank (WB); Government of Paraguay, Paraguay; Zimbabwe National Statistics Agency (ZIMSTAT); Catholic Relief Services (CRS); Cornell University
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)
Grown Chirongwe
Zimbabwe National Statistics Agency (ZIMSTAT)
Nobuo Yoshida
World Bank (WB)
Dhiraj Sharma
World Bank (WB)
Juan Jose Galeano
Ministry of Finance, Paraguay
Organiser(s): United Nations Statistics Division (UNSD-DESA); United Nations Entity for Gender Equality and the Empowerment of Women (UN Women); Global Partnership for Sustainable Development Data (GPSDD)
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
Karen Bett
Global Partnership for Sustainable Development Data (GPSDD)
Federico Segui
Instituto Nacional de Estadistica (INE-Uruguay)
Ottilie Mwazi
Namibia Statistics Agency (NSA)
Vibeke Oestreich Nielsen
United Nations Statistics Division (UNSD-DESA)
Isabella Schmidt
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
Geoffrey Gichunji Kariuki
Kenya National Bureau of Statistics (KNBS)
Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia); Statistics Poland; 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.
Saúl Kattan
National Data Committee (CND)
Esteban Gallego Restrepo
Comfenalco
Dominik Rozkrut
Statistics Poland
Phillip Schönrock
Centro de Pensamiento Estrategico Internacional (Cepei)
Ana Catalina Ochoa Yepes
Departamento Administrativo de Planeacion de Medellin
Julieth Solano
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Organiser(s): United Nations Development Programme (UNDP) / Universidade Federal do Rio Grande do Sul / United Nations Development Programme (UNDP) / 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
Huyen Do Thanh
United Nations Development Programme (UNDP)
Matheus Leichtweis
Universidade Federal do Rio Grande do Sul
Evan Jacobs
United Nations Development Programme (UNDP)
Luis A. Guzman
Universidad de los Andes
Olga L. Sarmiento
Universidad de los Andes
Giovanna Chuchon Ochoa
Universidad Nacional Mayor de San Marcos
Prem Ramaswami
Google
Organiser(s): Ruta N
Andrés Arias
Digital Businesses Cluster- Medellin Chamber of Commerce
Organiser(s): United Nations Statistics Division (UNSD-DESA); Partnership in Statistics for Development in the 21st Century (PARIS21); United Nations Entity for Gender Equality and the Empowerment of Women (UN Women), World Bank, Equal Measures 2030
Introduction: Data are more than numbers. They are a snapshot of real life, real people and real events. While simple data points are meaningful to the authors and data analysts behind them, they may lack the same impact for the audience. After all, most of the time, data do not speak for themselves. An important part of the job for a statistician or a data scientist is qualitative: asking questions, creating narratives from the data, and telling the stories behind the data. Because the human mind is, in essence, a story processor and if statisticians and data scientists can package their numbers and insights into a data story, they will build a bridge for the data to reach their audiences, and help them not only see the statistics but also feel the stories behind them.
This session focuses on transforming SDG and gender data into compelling narratives and visualizations. Participants will participate in a hands-on session to learn data storytelling techniques and visualization tools to effectively communicate their data.
Focus: The session covers data storytelling and visualization, exploring narrative development and visualization techniques tailored to SDG data and based on the Practical Guide to Data Storytelling in Voluntary National Reviews and SDG reporting, an upcoming data storytelling e-learning module developed by PARIS21 and UNSD, an e-learning course on communicating gender statistics developed by PARIS21 and UN Women and data storytelling initiatives and trainings with countries by UN Women, together with examples from the World Bank’s SDG Atlas 2023 and the Equal Measures 2030 SDG Index. Participants will also develop their own data storytelling example using data visualizations to convey complex information with clarity and impact.
Albert Motivans
Equal Measures 2030
Divyanshi Wadhwa
World Bank (WB)
Karina Cazarez
Partnership in Statistics for Development in the 21st Century (PARIS21)
Mika Mansukhani
United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
Organiser(s): Italian National Institute of Statistics (Istat); United Nations Children's Fund (UNICEF); Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); Middlesex University
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)
Claudia Cappa
United Nations Children's Fund (UNICEF)
Claudia Villante
Italian National Institute of Statistics (Istat)
Adrian Franco Barrios
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)
Elena Martellozzo
Middlesex University
Organiser(s): Internet Society (ISOC) - Youth Standing Group; Youth Coalition of Internet Governance (IGF); Consortium d'Appui aux Actions pour la Promotion et le Dveloppement de l'Afrique; United Nations Children's Fund (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)
Shelly Natasha Abdool Zerezeghi
United Nations Children's Fund (UNICEF)
Athanase Bahizire
Consortium d'Appui aux Actions pour la Promotion et le Developpement de l'Afrique
Laura Victoria Ram
Internet Society (ISOC) - Youth Standing Group
Germán López Ardila
Internet Society (ISOC) - Youth Standing Group
Denise Leal
Steering Committee Member
Organiser(s): CBM Global Disability Inclusion; International Disability Alliance; World Federation of the Deaf; Fordham University; Universidad de los Andes; Stakeholder Group of Persons with Disabilities; 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.
Mónica Pinilla-Roncancio
Universidad de los Andes
Lina María Gonzalez Ballesteros
Fundacion Saldarriaga Concha
Pamela Molina
World Federation of the Deaf
Francisco Espinosa
Inclusion SAS
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
Organiser(s): Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); Italian National Institute of Statistics (Istat); United Nations Office on Drugs and Crime (UNODC); United Nations Statistics Division (UNSD-DESA); United Nations Entity for Gender Equality and the Empowerment of Women (UN Women); Oficina Nacional de Estadstica (ONE-Repblica Dominicana); Point of View; Marialab Hackerspace; TechHER; Luchadoras Support Line
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)
Alicia Reynoso
Luchadoras
Miosotis Rivas Peña
Oficina Nacional de Estadistica (ONE-Republica Dominicana)
Adrian Franco Barrios
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)
Angela Me
United Nations Office on Drugs and Crime (UNODC)
Sashwati Banerjee
Point of View
Jemimah Inyangudo
Tech Project Women Initiative (TechHerNG)
Organiser(s): Office of the United Nations Secretary-General (EOSG); United Nations Global Pulse (UNGP); U.S. Department of State, United States of America; Armed Conflict Location and Event Data Project (ACLED); Data-Pop Alliance; YouthMappers
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)
Antje Lehmann
United Nations Complex Risk Analytics Fund (UN CRAF'd)
Talea Von Lupin
United Nations Global Pulse (UNGP)
Natalie Grover
Data-Pop Alliance
Binyam Dele
YouthMappers
Organiser(s): Red Sin Violencia LGBTI; Global Partnership for Sustainable Development Data (GPSDD); Colombia Diversa; Equilibrium Social Development Consulting (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
David Granada
Equilibrium
Roberto Castilla
National Statistics Institute of Ecuador (INEC-Ecuador)
Karen Chavez
Global Partnership for Sustainable Development Data
Karen Anaya
Red Sin Violencia
Organiser(s): 3isolution / United Nations Educational, Scientific and Cultural Organization (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
Margarita Rosa Imbett Canay
3ISolution
Patricia Patiño
Ernst & Young
Pablo Fraser
United Nations Educational, Scientific and Cultural Organization (UNESCO), Global Education Monitoring Report
Organiser(s): Economic Development Secretariat Medellín
Maria Fernanda Galeano
Secretariat of Economic Development
Organiser(s): TBC
Organiser(s): CivicDataLab; Lloyd's Register Foundation; Wellcome Trust
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
Admir Jahic
United Nations Development Programme (UNDP)
Gaurav Godhwani
CivicDataLab
Felipe J Colón-González
Wellcome Trust
Nashin Mahtani
Yayasan Peta Bencana (Disaster Map Foundation)
Oscar Hernández
Open Contracting Partnership
Organiser(s): World Health Organization (WHO)
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)
Ivalda Macicame
Mozambique National Institute of Health (INS)
Oliver Morgan
World Health Organization (WHO Pandemic Hub)
Emma Rourke
Office for National Statistics (ONS-UK)
B. Piedad Urdinola Contreras
Departamento Administrativo Nacional de Estadistica (DANE-Colombia)
Organiser(s): United Nations Statistics Division (UNSD-DESA); Global Partnership for Sustainable Development Data (GPSDD); World Bank (WB); United Nations Development Programme (UNDP); Open Data Watch (ODW); Sustainable Development Solutions Network (SDSN)
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)
Claudio Stenner
Instituto Brasileiro de Geografia e Estatistica (IBGE)
Vibeke Oestreich Nielsen
United Nations Statistics Division (UNSD-DESA)
Ashiyath Shazna
National Bureau of Statistics (NBS-Maldives)
Tamam Yassim
Department of Statistics (DOS-Jordan)
Sarah Omache
Kenya National Bureau of Statistics (KNBS)
Iván Ojeda
Instituto Nacional de Estadistica (INE-Paraguay)
Ottilie Mwazi
Namibia Statistics Agency (NSA)
Babatunde Abidoye
United Nations Development Programme (UNDP)
Organiser(s): World Bank (WB); Stanford University; United Nations Statistics Division (UNSD-DESA); General Statistics Office (GSO-Viet Nam); Instituto Nacional de Estadstica y Geografa (INEGI-Mxico); IGN, Belgium; CIG-BNETD, Cte dIvoire; Kadaster, Netherlands (Kingdom of the); PVBLIC Foundation
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.
Md. Alamgir Hossen
Bangladesh Bureau of Statistics (BBS)
Halima Neyamat
United Nations (UN)
Andrea Ramirez Santiago
Instituto Nacional de Estadistica y Geografia (INEGI-Mexico)
Elizabeth Tennant
Cornell University
Partha Lahiri
University of Maryland College Park
Haoyi Chen
United Nations Statistics Division (UNSD-DESA)
Organiser(s): Open Data Watch (ODW); Partnership in Statistics for Development in the 21st Century (PARIS21)
In Medellin, let's commit to turning data into impact. In anticipation of November, 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.
Shaida Badiee
Open Data Watch (ODW)
Johannes Jütting
Partnership in Statistics for Development in the 21st Century (PARIS21)
Organiser(s): United Nations Statistics Division (UNSD-DESA); Zhejiang University; Rural Department, National Bureau of Statistics (NBS-China); United Nation Global Hub on Big Data and Data Science for Official Statistics; Food and Agriculture Organization of the United Nations (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)
Li Yuehua
Zhejiang Lab
Huang Jingfeng
Zhejiang University
Zhang Bin
United Nations Global Platform for Big Data China Hub
Wei Fenghua
Rural Department, National Bureau of Statistics (NBS-China)
Organiser(s): IMPACT Initiatives; Armed Conflict Location and Event Data Project (ACLED); Data-Pop Alliance
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)
Cosima Cloquet
IMPACT Initiatives
Natalie Grover
Data-Pop Alliance
Organiser(s): United Nations Children's Fund (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)
Organiser(s): Empresas Públicas de Medellín (EPM)
Organiser(s): The Datasphere Initiative; Global Shapers Medellín Hub; African Institute for Mathematical Sciences (AIMS-Next Einstein Forum); Chaski Global; Global Partnership for Sustainable Development Data (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
Sanera Maharaj
African Institute for Mathematical Sciences - Next Einstein Forum
Daniel Bedoya
Global Shapers Medellin Hub
Mariana Rozo Paz
Datasphere Initiative
Grace Nzivo
African Institute for Mathematical Sciences - Next Einstein Forum
Fatuma Faarah
Global Partnership for Sustainable Development Data (GPSDD)
Organiser(s): Departamento Administrativo Nacional de Estadstica (DANE-Colombia); United Nations Statistics Division (UNSD-DESA)
