Curtis S. Signorino

Curtis S. Signorino

Associate Professor of Political Science

Director of the star lab

PhD, Harvard, 1998. Current Director of the Theory and Statistics Research Lab (the star lab). Current research (1) develops statistical methods for structural estimation of strategic choice models (e.g., game theoretic models), (2) develops statistical methods for modeling temporal dependence in event history models, and (3) examines aggregation bias in indices of power and democracy. Publications have appeared in the American Political Science Review, the American Journal of Political Science, International Interactions, International Studies Quarterly, the Journal of Conflict Resolution, Political Analysis, and Political Studies. Awarded multiple National Science Foundation research grants, as well as the Miller Prize for the best article published in Political Analysis and the Gosnell Prize for the best methods paper presented at a conference. Teaches courses in political methodology and international conflict. Received the G. Graydon and Jane W. Curtis award for excellence in teaching. Former Director and current member of the Peter D. Watson Center for Conflict and Cooperation.

Courses

  • PSC 200 Applied Data Analysis
  • PSC 205 Introductory Statistical Methods
  • PSC 404 Probability and Inference
  • PSC 405 Linear Models
  • PSC 505 Maximum Likelihood Estimation
  • PSC 506 Advanced Topics in Methods
  • PSC 508 Estimating Games and Testing Formal Models
  • PSC 571 Quantitative Approaches to International Politics
  • PSC 576 Modeling International Conflict