|Empirical Legal Studies Fellow |
Daniel Katz is a Ph.D. Candidate in the Joint Program of Political Science and Gerald R. Ford School of Public Policy.
Dan's interdisciplinary scholarship includes Public Law & Judicial Politics, Criminal Procedure, Empirical Legal Studies, Election Law, Constitutional Political Economy, Institutional Economics and Sociophysics. Prior to entering the program, he earned a both a J.D. (cum laude) and a M.P.P. from Michigan.
Dan's scholarship employs a wide range of methodological approaches including qualitative, quantitative and experimental methods. He has authored a variety of articles and working papers. His most recent work develops and applies a series of novel computational and mathematical modeling techniques to map the time evolving citation network generated by decisions of the United States Supreme Court (1791-2008).
In addition to his service as a Fellow in Empirical Legal Studies, Dan is also an IGERT-National Science Foundation Fellow at the University of Michigan Center for the Study of Complex Systems where he manages the Computational Legal Studies Working Group. For more information please visit: http://computationallegalstudies.com/