Algorithmic Redistricting and its Role in Addressing Gerrymandering - Dr. Sheldon Jacobson

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1209 A&B MU Student Center
Add to Calendar 2019-09-13 15:00:00 2019-09-13 16:00:00 Algorithmic Redistricting and its Role in Addressing Gerrymandering - Dr. Sheldon Jacobson Every 10 Years, the outcome of the United States Census leads to a reallocation of congressional seats, typically requiring state legislatures to redesign their congressional districts.  This creates the opportunity for these states to design districts that favor a particular party, the process of gerrymandering.  This presentation discusses how gerrymandering is achieved, examples of such efforts, and how algorithms can be used to mitigate its proliferation. Bio: Sheldon H. Jacobson is a Founder Professor of Computer Science at the University of Illinois.  He has a B.Sc. and M.Sc. (both in Mathematics) from McGill University, and a M.S. and Ph.D. (both in Operations Research) from Cornell University.  From 2012-2014, he was on leave from the University of Illinois, serving as a Program Director at the National Science Foundation.  His research interests span theory and practice, covering decision-making under uncertainty and optimization-based artificial intelligence, with applications in aviation security, public policy, public health, and sports.  He has been recognized by numerous awards, including a Guggenheim Fellowship from the John Simon Guggenheim Memorial Foundation.  He is a fellow of both IISE and INFORMS. He serves as the Founding Director for the Institute for Computational Redistricting (ICOR), http://redistricting.cs.illinois.edu. This event sponsored by the Truman School of Public Affairs and Industrial & Manufacturing Systems Engineering 1209 A&B MU Student Center Harry S Truman School of Public Affairs truman@missouri.edu America/Chicago public

Every 10 Years, the outcome of the United States Census leads to a reallocation of congressional seats, typically requiring state legislatures to redesign their congressional districts.  This creates the opportunity for these states to design districts that favor a particular party, the process of gerrymandering.  This presentation discusses how gerrymandering is achieved, examples of such efforts, and how algorithms can be used to mitigate its proliferation.

Bio: Sheldon H. Jacobson is a Founder Professor of Computer Science at the University of Illinois.  He has a B.Sc. and M.Sc. (both in Mathematics) from McGill University, and a M.S. and Ph.D. (both in Operations Research) from Cornell University.  From 2012-2014, he was on leave from the University of Illinois, serving as a Program Director at the National Science Foundation.  His research interests span theory and practice, covering decision-making under uncertainty and optimization-based artificial intelligence, with applications in aviation security, public policy, public health, and sports.  He has been recognized by numerous awards, including a Guggenheim Fellowship from the John Simon Guggenheim Memorial Foundation.  He is a fellow of both IISE and INFORMS. He serves as the Founding Director for the Institute for Computational Redistricting (ICOR), http://redistricting.cs.illinois.edu.

This event sponsored by the Truman School of Public Affairs and Industrial & Manufacturing Systems Engineering