About CLS Blog

About Computational Legal Studies Blog

The Computational Legal Studies Blog was founded on March 17, 2009.  The CLS Blog is an attempt to disseminate legal or law related studies that employ a computational or complex systems component.  We hope this venue will serve as a coordinating device for those interested in using such techniques to consider the development of legal systems and/or implementation of more reasoned public policy.

To contact us, feel free to email [email protected].

Best,
Daniel Katz, Mike Bommarito & Jon Zelner

About the Authors

Daniel Martin Katz is an Assistant Professor of Law at Michigan State University. He is holds a Ph.D. in Political Science and Public Policy from  the University of Michigan (Dec. 2011). Prior to joining the MSU College of Law faculty, Professor Daniel Katz was a Fellow in Empirical Legal Studies at the University of Michigan Law School and an NSF-IGERT Fellow at the University of Michigan Center for the Study of Complex Systems. His wide variety of academic interests include positive legal theory, quantitative modeling of litigation and jurisprudence, and the impact of information technology on the market for legal services.  Click Here to Access his Website and CV.

Michael J. Bommarito II is a Ph.D. Pre-Candidate in Political Science at the University of Michigan. He is a former IGERT-NSF Fellow at the University of Michigan Center for the Study of Complex Systems.  During his studies in the 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.

Jonathan Zelner is a Postdoctoral Research Fellow in Ecology and Evolutionary Biology at Princeton University.  Jon recently earned a Ph.D. in Sociology and Public Policy at the University of Michigan.  Jon is also a former NSF-IGERT fellow at the University of Michigan Center for the Study of Complex Systems. He has a wide variety of research interests including social epidemiology, computational and agent-based modeling, computational statistics, and social network analysis.  For more information about his research, please visit: Jonathan Zelner’s personal site.