Thomas G. Hansford

Thomas G. Hansford is a Professor of Political Science at the University of California, Merced, where he also currently serves as Vice Provost for Academic Personnel. He is affiliated with the School of Social Sciences, Humanities and Arts and the Department of Political Science.

Hansford earned his Ph.D. in 2001 from the University of California, Davis and his B.A. in 1993 from St. Mary's College of Maryland.

Hansford's research focuses on American politics with particular emphasis on judicial politics, interest group involvement in courts, Supreme Court precedent, public opinion on courts and law, and elections and voting behavior. His work examines how courts interact with other political institutions, how public perceptions of courts are formed, and how legal precedent evolves within judicial hierarchies. He has developed innovative methodologies for measuring interest group ideology through amicus brief analysis and has explored the dynamics of judicial agenda setting across court levels. His research reveals that precedent dynamics operate not just top-down but also bottom-up, with lower court implementation of precedent providing valuable information to higher courts.

Hansford's publications span top political science journals including the American Political Science Review, American Journal of Political Science, Journal of Politics, and many others. His research reveals important insights about bottom-up influence in judicial hierarchies, the role of interest groups in Supreme Court decision making, and how public perceptions of the judiciary are shaped by various factors including state court structures.

Hansford is the coauthor of "The Politics of Precedent on the U.S. Supreme Court" (Princeton University Press) and is a creator of the Amici Space Project, which develops spatial models of interest group ideology based on amicus briefs filed with the Supreme Court.

Throughout his career, Hansford has conducted extensive research using survey experiments to understand public perceptions of courts and has employed sophisticated statistical methods to analyze judicial behavior and precedent dynamics. His work on the informational dynamics of vertical stare decisis has provided new insights into how lower court implementation of precedent informs Supreme Court decision making.