We address today’s most important questions in the fields of governance and politics.
Evidence in Governance and Politics (EGAP) is a global research, evaluation, and learning network that promotes rigorous knowledge accumulation, innovation, and evidence-based policy in various governance and accountability domains.
Latest news and resources
Election Series: Colombia — Presidential
Priority Theme Seminar Series: COVID-19 and Maternal Mental Health Among Internally Displaced Persons in Colombia
Priority Theme Spotlight: Adam Lichtenheld (Mercy Corps)
Q&A with Members: Lucía Tiscornia and Verónica Pérez Bentancur
Policy Brief: How Can States Consolidate Peace After Civil War? Leveraging Communal Institutions to Reduce Governance Gaps in Rural Colombia
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Improving the quality of empirical research in the social sciences,
EGAP’s work is centered around governance innovations:
Crime Reduction & Police Accountability
Promoting citizen security and reducing crime while curbing abuses of power by state-backed law enforcement agents and the criminal justice system in countries around the world.
Climate Change Governance
Policy responses to climate change and addressing inequalities across people and communities who bear the brunt of its negative impacts
Displacement, Migration, & Integration
Safety and well-being of individuals displaced by violence, disasters, or other hardships, or who are moving for economic opportunities
Democracy, Conflict, & Polarization
Challenge of polarization across partisan or identity-based lines, including both increased affective polarization and polarization in perceptions on core issues like the economy, public safety, inequality, and climate change
Our approach to research
EGAP members conduct research designed to assess the causal impact of governance innovations. Researchers use a variety of methods including randomized controlled trials (RCTs) and natural experiments to justify causal claims. Many members complement these research designs with qualitative, descriptive, and other observational methods.