Philip Schrodt is a senior research scientist at the statistical consulting firm Parus Analytics. He received an M.A. in mathematics and a Ph.D. in political science from Indiana University in 1976. He has held permanent academic positions at Pennsylvania State University, the University of Kansas, and Northwestern University. He has also held research appointments in the United Kingdom and Norway, and has taught and done field research in the Middle East.
His major areas of research are quantitative models of political conflict and computational political methodology, including natural language processing, time series analysis, and mathematical statistics. His current research focuses on predicting political change using statistical and pattern recognition methods, research that has been supported by the U.S. National Science Foundation, the Defense Advanced Research Projects Agency, and the U.S. government’s multi-agency Political Instability Task Force. He has published more than 90 articles in political science. He has served as president, and 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.