Christopher Hare

Christopher Hare is an Associate Professor in the Department of Political Science at the University of California, Davis, since 2015. He holds a Ph.D. from the University of Georgia and specializes in statistical modeling, quantitative methodology, and their applications in political behavior, public opinion, and political campaigns. His research integrates advanced computational tools, including machine learning, to analyze electoral dynamics and ideological structures.

• Education: Ph.D., University of Georgia

His work emphasizes understanding voter decision-making processes, policy preferences, and the role of issue salience. Notable contributions include co-authoring Analyzing Spatial Models of Choice and Judgment and developing methodologies like basicspace and anominate for spatial analysis of political data.

Since 2017, Hare has taught ICPSR workshops on machine learning in social sciences. His publications appear in top journals such as the American Journal of Political Science, British Journal of Political Science, and Political Behavior.

His research spans topics like polarization, ideological constraint in the U.S. electorate, and the impact of scientific literacy on pandemic policy compliance. He explores how demographic and ideological factors shape political coalition formation and voting behavior.