Research Focus
Moon Duchin’s research focuses on discrete geometry and randomized models, with applications to the study of voting and democracy. She is a member of the faculty at the Brooks School and the Department of Mathematics, affiliated with the Center for Data Science for Enterprise and Society. Duchin was hired as part of the Provost Office’s Radical Collaboration initiative.
A prominent voice on fair redistricting, Duchin has developed mathematical models to analyze the potential and actual outcomes of changes to policy and voting districts. She has served as an expert in redistricting litigation in Wisconsin, North Carolina, Alabama, South Carolina, Pennsylvania, Texas, and Georgia. Recently, her work has turned to the study of alternative systems of election.
Her research has been recognized with a National Science Foundation Faculty Early Career Development Award (NSF CAREER), a Guggenheim Fellowship, and a Radcliffe Fellowship. She was a Sloan Professor at the Simons-Laufer Mathematical Sciences Research Institute (SLMath) for their recent program on Algorithms, Fairness, and Equity. She is a fellow of the American Mathematical Society.
Publications
- Proceedings of 2nd ACM Symposium on Computer Science and Law (Blind justice: Algorithms and neutrality in the case of redistricting)
- Harvard Data Science Review (Private numbers in public policy: Census, differential privacy, and redistricting)
- SIAM Journal on Matrix Analysis and Applications (Measuring segregation via analysis on graphs)
- Birkhäuser Books (Political Geometry: Rethinking Redistricting in the U.S. with Math, Law, and Everything In Between)
- SSRN preprint (Ranked choice voting and proportional representation)