Department of Political Science

Political Science
1414 Social Sciences Building
267 19th Ave S
Minneapolis, MN 55455

Phone: 612-624-4144
Fax: 612-626-7599

John Freeman Bio

John R. Freeman (Ph.D., University of Minnesota, l978) is the John Black Johnston Distinguished Professor in the College of Liberal Arts and a Fellow of the American Academy of Arts and Sciences. He has been a visiting professor at the University Michigan and a consultant to international businesses, banks, the armed services and law firms. Among his honors are the Morse-Alumni All-University and College of Liberal Arts Distinguished Teaching Awards. Freeman is the author of Democracy and Markets: The Politics of Mixed Economies (Cornell University Press) and the co-author of Three Way Street: Strategic Reciprocity in World Politics (University of Chicago Press). The first of these books won the International Studies Association's Quincy Wright Award. It has been translated into Chinese. Freeman also edited three volumes of Political Analysis (University of Michigan Press). He has (co)authored numerous research articles in academic journals. Many of Freeman's research projects have been supported by the National Science Foundation. The Bank Austria Foundation and Austrian Ministry of Science also have supported his research.

Freeman has held many professional posts including President of the American Political Science Association's Section for Political Methodology. In addition, he has been a member of the National Science Foundation's Political Science research panel and of three of the Foundation's select committees. At present, Freeman is engaged in three major research projects. The first analyzes the implications of economic globalization--especially financial integration--for democratization and political accountability. The second applies Bayesian time series methods in the study of intra and international political conflict. It develops a technology to forecast conflict in the Middle East, South Asia, and East Asia. The National Science Foundation is supporting this project. Finally, he is collaborating on a Bayesian elicitation technology that can be used for several purposes including supplying missing data in covert social networks.

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