Research Expertise and Interest

applied microeconomics, behavioral science, machine learning

Research Description

Diag Davenport is a behavioral economist studying technological and social problems that drive inequality. He is currently an Assistant Professor of Technology Policy, Governance, and Society with appointments in the Goldman School of Public Policy and the School of Information.

He conducts research in three areas: empowering good ideas, responsible AI, and cultural evolution. His work develops theory by blending natural, field, and lab experiments. He typically focuses on applications relevant to criminal justice reform, tech policy, and the future of work.

See his website for a full biography.