About the Authors
Daniel Katz is a Ph.D. Candidate in the Joint Political Science and Public Policy Program at the University of Michigan. For the 2009-2010 academic year he is a Fellow in Empirical Legal Studies at the Michigan Law School and a IGERT-NSF Fellow at the University of Michigan Center for the Study of Complex Systems. Dan’s scholarship employs a wide range of methodology including techniques drawn from within the Complex Systems paradigm. While at Michigan, Dan has taught a number of courses including Microeconomics, Election Law, Constitutional Criminal Procedure and Computational Legal Studies. He has recently been honored with a University-Wide teaching award. Prior to entering the Ph. D. program, he earned both a J.D. (Cum Laude) from the Michigan Law School and an M.P.P. from the University of Michigan, Gerald R. Ford School of Public Policy. For more information about his research, please visit: Daniel Katz’s personal site here.
Michael Bommarito is a Ph.D. Pre-Candidate in Political Science at the University of Michigan. For the 2009-2010 academic year he a IGERT-NSF Fellow at the University of Michigan Center for the Study of Complex Systems. During his Ph.D. program Mike is planning to complete his Masters in Applied Mathematics and Financial Engineering. His research interests include Quantitative Finance, Political Methodology, American Politics, Political Economy and Empirical Legal Studies. For more information about his research, please visit: Michael Bommarito’s personal site here.
Jonathan Zelner is Ph.D. Candidate in Sociology, Public Policy and Complex Systems at the University of Michigan. He has a wide variety of research interests including social epidemiology, computational and agent-based modeling, computational statistics, and social network analysis. For the 2009-2010 academic year he is the co-organizer of CSAAW (Complex Systems Advanced Academic Workshop). For more information about his research, please visit: Jonathan Zelner’s personal site here.
Computational Legal Studies Blog was founded on March 17, 2009.
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