Prof. Naoki Egami

Associate Professor of Political Science

Primary DLC

Department of Political Science

MIT Room: E53-401

Areas of Interest and Expertise

Political Methodology
Causal Inference
External Validity
Machine Learning
Artificial Intelligence (AI)
Large Language Models
Network

Research Summary

Naoki Egami is a professor in the Department of Political Science. He is also a faculty affiliate of the MIT Institute for Data, Systems, and Society. Egami specializes in political methodology and develops statistical methods for questions in political science and the social sciences. His current research programs focus on three areas: external validity and generalizability; machine learning and AI for the social sciences; and causal inference with network and spatial data. His work has appeared in various academic journals in political science, statistics, and computer science, such as American Political Science Review, American Journal of Political Science, Journal of the American Statistical Association, Journal of the Royal Statistical Society (Series B), NeurIPS, and Science Advances. Before joining MIT, Egami was an assistant professor at Columbia University. He received a PhD from Princeton University (2020) and a BA from the University of Tokyo (2015).

Recent Work