A Reasonable Bias Approach to Gerrymandering: Using Automated Plan Generation to Evaluate Redistricting Proposals

38 Pages Posted: 16 Dec 2021

See all articles by Bruce E. Cain

Bruce E. Cain

University of California, Berkeley - Charles and Louise Travers Department of Political Science

Wendy Cho

University of Illinois at Urbana-Champaign

Yan Y. Liu

University of Illinois at Urbana-Champaign

Emily Rong Zhang

Stanford University, Department of Political Science

Date Written: October 14, 2021

Abstract

This paper proposes a method of evaluating redistricting proposals with the help of an algorithm that automatically generates redistricting plans.

Keywords: redistricting algorithm; partisan gerrymandering; gerrymandering

Suggested Citation

Cain, Bruce E. and Cho, Wendy and Liu, Yan Y. and Zhang, Emily, A Reasonable Bias Approach to Gerrymandering: Using Automated Plan Generation to Evaluate Redistricting Proposals (October 14, 2021). William & Mary Law Review, Vol. 59, No. 5, 2018, Available at SSRN: https://ssrn.com/abstract=3942885

Bruce E. Cain

University of California, Berkeley - Charles and Louise Travers Department of Political Science ( email )

210 Barrows Hall
Berkeley, CA 94720
United States

Wendy Cho

University of Illinois at Urbana-Champaign ( email )

601 E John St
Champaign, IL Champaign 61820
United States

Yan Y. Liu

University of Illinois at Urbana-Champaign

601 E John St
Champaign, IL Champaign 61820
United States

Emily Zhang (Contact Author)

Stanford University, Department of Political Science ( email )

Stanford, CA 94305
United States

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