Ines Levin

Ines Levin is an Associate Professor in Political Science at UC Irvine, specializing in computational and survey methods for studying elections and public opinion. Her research develops methodological approaches for analyzing voting behavior, political participation, and public opinion dynamics. She teaches statistics, machine learning, and causal inference methods for social science research.

Research focuses:

• Advanced statistical methods for election forensics
• Survey weighting and complex sample designs
• Experimental studies of deliberative democracy
• Cross-national analysis of political behavior

Honors include teaching awards (Talorico Award 2015), research grants (CSD Summer Seed Grant 2021), and fellowships (Max Weber Fellowship). Recent work emphasizes antisemitism measurement and machine learning applications.