World Data Lab helps multilateral organizations, private companies, governments, and nonprofits make data-driven decisions. We use state-of-the-art data science to model and forecast income and demographic dynamics at a granular level, worldwide. We build webtools so our clients can visualize and unlock insights hidden within data. We create custom data models and algorithms to assist our clients in answering strategic questions
The European Space Agency (ESA), an intergovernmental organization of 22 member states, has funded World Data Lab’s ongoing Age Spot project, developed in collaboration with our partner GeoVille. By applying new modeling techniques to a range of data, AgeSpot models and forecasts demographic information (specifically, population distribution by age group) at a very granular level.
Learn more about WDL's work supported by ESA.
World Data Lab received funding from the German Corporation for International Cooperation GmbH (GIZ) to underwrite the development of the World Poverty Clock (linked to the UN's Sustainable Development Goal 1) and the development of the Water Scarcity Clock (linked to Sustainable Development Goal 6).
In addition to working with national and supranational government organizations, GIZ mainly implements technical cooperation projects of Germany’s Federal Ministry for Economic Cooperation and Development (BMZ), who also supported WDL’s Poverty and Water Clock projects.
The International Fund for Agricultural Development (IFAD), a specialized UN agency dedicated to eradicating rural hunger and poverty, is supporting an upgrade of the World Poverty Clock (linked to the UN's Sustainable Development Goal 1) to allow for data disaggregation by age, gender, and location (rural vs urban), thus allowing WDL to paint a holistic picture of vulnerable populations across the globe.
IFAD is also underwriting the creation of the World Hunger Clock (linked to the UN’s Sustainable Development Goal 2), a project which will aim to establish a consistent and forecastable approach to modeling hunger for every country in the world.
NOMIS, a Swiss research foundation, supports insight-driven, innovative scientific endeavors across numerous disciplines. Their support is instrumental in World Data Lab’s ongoing North Korea income and poverty mapping initiative. This research project aims to break new ground in understanding aspects of North Korea’s economic landscape by utilizing satellite data (nightlight imagery) to infer subnational income and poverty levels in the absence of conventional household survey data.
The United Nations Economic Commission for Africa (UNECA) works to encourage economic cooperation among the nations of the African continent. The Organisation internationale de la Francophonie (OIF) is global cooperative organization of countries and regions influenced by French culture. Through a collaborative grant, these two organizations financed the development and launch of World Data Lab’s African Poverty Clock, an extension of the methodology used in WDL’ World Poverty Clock with a specific focus on the African continent.
The International Growth Centre (IGC) works to promote sustainable growth in developing countries by providing demand-led policy advice based on frontier research. IGC’s support underwrote the development of a subnational poverty model of Pakistan which incorporated traditional (survey-based data) and emerging (nightlights and spatial economics) methods.
The Organisation internationale de la Francophonie (OIF) is global cooperative organization of countries and regions influenced by French culture. OIF funded an exclusive World Data Lab report focused on poverty in the French-speaking regions of Africa.