Date of Award

2024

Degree Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Computer Science and Statistics

First Advisor

Edmund Lamagna

Abstract

Gerrymandering is the manipulation of electoral district borders in a way that gives one party or group an unfair advantage over another in elections. In recent years, the problem has received renewed attention from computer scientists and mathematicians seeking to offer methods for the fair redistricting of electoral maps. In this work we demonstrate how board games can be used as a tool for conducting research in mathematical redistricting. By studying the issue on a small scale, we can draw insights applicable to the larger, computationally difficult problem of real world redistricting. Specifically, we develop a measurement that quantifies the susceptibility of a party’s vote to the gerrymandering practice of “packing”. We then assess the reliability of this measurement. Finally, we leverage the new measurement to test a hypothesis in order to investigate the effect of low “packability” scores on election outcomes.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.