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Philip Schrodt (Parus Analytics)
Citation
We are pleased to announce that Philip Schrodt is the recipient of the 2019 Society for Political Methodology Career Achievement award.
Phil was an early pioneer in the subfield of text as data and a pioneer in the use of quantitive methods in international relations. He has been a prolific scholar having published more that 90 papers. His research has been supported by the U.S. National Science Foundation, the U.S. Defense Advanced Research Projects Agency, and the U.S. government’s multi-agency Political Instability Task Force. He is an inaugural fellow of the Society.
He is best known as the leader of the Computational Event Data System that employs automated coding of English-language news reports to generate political event data focusing on the Middle East, Balkans, and West Africa. These data are used in statistical early warning models to predict political change. The twenty-five-year project was originally based in the Department of Political Science at the University of Kansas where it was known as the Kansas Event Data System (KEDS) project. The KEDS project was one of the first independently developed political science software packages, and won the “Outstanding Computer Software Award” from the American Political Science Association in 1995.
In addition to his important research contributions, Phil has always been an outstanding citizen of the political methodology community. He has served in various leadership roles in the Society for Political Methodology, including president (2007-2009), vice-president (2005-2007), and treasurer. He also served on the advisory board of the Correlates of War Project (2009 - 2013) and helped to co-develop Northwestern University’s mathematical methods in the social sciences.
Since leaving Penn State for private consulting Phil’s research has focused on predicting political change using statistical and pattern recognition methods.