Philip Schrodt

Philip Schrodt is Professor of Political Science at Pennsylvania State University. He received an M.A. in mathematics and a Ph.D. in political science from Indiana University in 1976. Prior to coming to Penn State in 2010, he taught for twenty-one years at the University of Kansas, and eleven years at Northwestern University in Illinois, where he helped develop Northwestern's programs on mathematical methods in the social sciences. Dr. Schrodt's major areas of research are quantitative models of political conflict and computational political methodology. His current research focuses on predicting political change using statistical and pattern recognition methods, research that has been supported by the National Science Foundation, the Defense Advanced Research Projects Agency, and the U.S. government's multi-agency Political Instability Task Force. Dr. Schrodt has published more than 85 articles in political science, is past president and a fellow of the Society for Political Methodology, and his Kansas Event Data System computer program won the "Outstanding Computer Software Award" from the American Political Science Association in 1995.