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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 DevelopmentTransparency

Development Intervention Forecasting

Nicholas Otis | Kenya
Transparency

Pre-Analysis Plans: A Stocktaking

George Ofosu |
TransparencyTechnology

Research Transparency in Brazilian Political and Social Science

Scott Desposato | Brazil
Transparency

Publication Bias and Editorial Statement on Negative Findings

Abel Brodeur |
Transparency

MetaLAB: Crowdsourced Meta-Analyses

Christina Bergmann |
Transparency

Bayesian Evidence Synthesis: New Meta-Analytic Procedures

Eric-Jan Wagenmakers |
Transparency

Data Sharing and Citations: Causal Evidence

Garret Christensen |
Transparency

Meta-Analysis on Behavioral Economics Parameters

Colin Camerer |
Transparency

Transparent and Reproducible Social Science

Edward Miguel |
Transparency

Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis

Rachael Meager |
Transparency

Correcting Effect Sizes for Publication Bias in Meta-Analyses

Robbie van Aert |
Transparency

External Validity in U.S Education Research

Sean Tanner | United States of America
Transparency

Achieving Statistical Significance with Covariates

Gabriel Lenz |
TransparencyWork & Education

Welfare Comparisons across Expenditure Surveys

Elliot Collins |
Transparency

Effects of Knowledge on Willingness to Pre-Register

Daniel Lakens |
Transparency

Model of Condom Use in Africa: A Meta-Analysis

Cleo Protogerou |
Transparency

Developing a Guideline for Reporting Mediation Analyses

Hopin Lee |
Transparency

Investigation of Data Sharing in the Context of a Meta-Analysis

Joshua R. Polanin |
TransparencyHealth & Psychology

P-Curve & Evidentiary Value of Social Psychology Publications

Leif Nelson |
Transparency

Panel Data and Experimental Design

Fiona Burlig |
Transparency

How often should we believe positive results?

Eva Vivalt |
TransparencyTechnology

Open Science in Development Engineering: A New Model for Replication

Paul Gertler |
TransparencyHealth & Psychology

Reproducibility of Meta-Analyses in Psychology

Daniel Lakens |
Transparency

A new approach for constructing collaborative literature reviews

Solomon Hsiang |
Transparency

Reporting Guidance for Trial Protocols

Sean Grant |

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