- Ph.D., Political Science, University of California, Berkeley, 2016
- M.A., Economics, University of California, Berkeley, 2016
- M.A., Political Science, University of California, Berkeley, 2011
- Master of Public Administration, Columbia University, 2010
- B.A., Politics and Economics, Brandeis University, 2005
Ryan Hübert joined the Department of Political Science at UC Davis as an assistant professor in 2016. Prior to his graduate work in political science and economics, he completed a degree in public policy at Columbia University.
Professor Hübert’s research interests fall at the intersection of political science, economics, law and public administration. His research uses game theory and quantitative methods to study political institutions, with a specific emphasis on legal institutions.
Hübert, Ryan. Forthcoming. "Biased Judgments without Biased Judges: How Legal Institutions Cause Errors." Journal of Politics.
Hübert, Ryan. 2019. "Getting Their Way: Bias and Deference to Trial Courts." American Journal of Political Science. 63(3): 706-718.
Copus, Ryan, Ryan Hübert and Hannah Laqueur. 2019. "Big Data, Machine Learning, and the Credibility Revolution in Empirical Legal Studies" In Law as Data: Computation and the Future of Legal Analysis. Edited by Michael A. Livermore and Daniel N. Rockmore. Santa Fe, NM: SFI Press.
Ryan Hübert’s teaching interests include formal theory and research methodology, judicial politics, political economy, American politics, and public policy. He has taught graduate courses on formal models of political science, quantitative methods and intermediate microeconomics, and undergraduate courses on economic policy analysis, political science research methods and American political institutions.