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At CEGA, we believe that evidence should inform decisions about how development funding is spent.

Through competitive grant-making, we fund actionable research that can be used by policymakers to improve lives. We believe that grant competitions generate the highest-quality research, attract new talent and mobilize networks, and foster stewardship, transparency, and fairness. Below you can browse all CEGA-funded research projects—spanning dozens of topic areas and over 61 countries.

Data Science for DevelopmentTechnology

Unlocking Chinese Growth with Historical Satellites

Joel Ferguson | China
Data Science for Development

MOSAIKS: A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery

Solomon Hsiang | United States
Data Science for DevelopmentTechnology

Low-Cost Air Pollution Monitoring

Engineer Bainomugisha | Uganda
Data Science for Development

Quantifying the benefits of better targeting employment programs for Syrian refugees

Simon Quinn | Jordan
Data Science for Development

Combining satellite imagery and machine learning to target social protection in Pakistan

Sean Fox | Pakistan
Data Science for Development

A new index of poverty to target government cash transfers in Ghana

Ethan Ligon | Ghana
Data Science for Development

Using AI and Digital Data to Target Cash Transfers in Togo

Joshua Blumenstock | Togo
Data Science for DevelopmentFinancial InclusionTechnology

Welfare-centric Credit Scoring in Nigeria

Joshua Blumenstock | Nigeria
Data Science for DevelopmentInstitutions & GovernanceTechnology

Measuring the Effect of Technological Improvements and Compliance Nudges on Property Taxes

Marc Gurgand | Senegal
Data Science for DevelopmentTechnologyWork & Education

Using High-Resolution Satellite Data to Evaluate The Impact of New Business

Gordon Hanson | India
Data Science for Development

Detecting Social Networks with Satellite Imagery

Jeremy Magruder | Malawi
Data Science for DevelopmentTechnology

Cookstove Measurement Technology Project

Jeremy Magruder | Ethiopia
Data Science for DevelopmentTransparency

Development Intervention Forecasting

Nicholas Otis | Kenya
Data Science for DevelopmentEnergy & EnvironmentTechnology

A Novel Approach to Monitoring Grid Reliability

Catherine Wolfram (PI) | Ghana
Data Science for Development

Data-Intensive Development Lab Seed Grant

Joshua Blumenstock |
Data Science for Development

Information and Learning Diffusion Through Social Networks

Eleanor Wiseman | Kenya
Data Science for DevelopmentEnergy & EnvironmentTechnology

Cool Joule

Eric Brewer | Nicaragua
Data Science for DevelopmentGlobal NetworksHealth & Psychology

Remote Sensing and Estimation of Household Welfare in South Sudan

Reajul Chowdhury | South Sudan
Data Science for DevelopmentEnergy & Environment

Monitoring Food Prices in Post-disaster Environments

David Soloff | Liberia
Data Science for DevelopmentAgriculture

Remote Sensing of African Smallholder Yields

David Lobell | Kenya
Data Science for DevelopmentEnergy & EnvironmentWork & Education

Remote Sensing of Illegal Black Sand Mining

Sara Kerosky | Philippines
Data Science for Development

Measuring Biomass Cooking Behaviors at Massive Scale

Daniel Wilson | India
Data Science for Development

Income for Information - Measuring the Value of Time

Robert On | Kenya
Data Science for DevelopmentTechnology

High Resolution Development Indicators

Joshua Blumenstock | Afghanistan
Data Science for Development

Time-Activity Monitoring Systems

Ajay Pillarisetti | Nepal
Data Science for Development

Determinants of sustained adoption of improved cookstoves

Javier Rosa | Sudan
Data Science for DevelopmentInstitutions & Governance

Can Mobile Phones Promote Government Accountability?

Ruth Carlitz | Tanzania

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