Wing Lecture Series: Political Geometry: What do shapes have to do with fair voting?
October 02, 2017
05:00 PM - 06:00 PM
Hutch 140 (Lander Auditorium)
Moon Duchin, PhD
Associate Professor of Department of Mathematics; Director of the Program on Science, Technology and Society
The Department of Mathematics has an upcoming Wing Lecture series, Oct. 2 - 3, which you might find of interest. The lead-off will be a public lecture next Monday on the subject of gerrymandering,
Political Geometry: What do shapes have to do with fair voting?
The U.S. Constitution calls for a census every ten years, followed by freshly drawn congressional districts to evenly divide up the population of each state. How the lines are drawn has a profound impact on how the elections turn out, especially with increasingly fine-grained voter data available. We call a district gerrymandered if the lines are drawn to rig an outcome, whether to dilute the voting power of minorities, to overrepresent one political party, to create safe seats for incumbents, or anything else. Bizarrely shaped districts are widely recognized as a red flag for gerrymandering, so a traditional districting principle is that the shapes should be “compact”— since that typically is left undefined, it’s hard to enforce or to study. I will discuss “compactness” from the point of view of metric geometry, and I’ll overview opportunities for mathematical interventions and constraints in the highly contested process of electoral redistricting. To do this requires putting geometry in conversation with law, civil rights, political science, and supercomputing.
Prof. Duchin is a geometer whose work on gerrymandering, and training mathematicians and data scientists to help fight it in the courts, has been featured in the Chronicle of Higher Education (http://www.chronicle.com/article/Meet-the-Math-Professor/239260)and Wired (https://www.wired.com/2017/04/gerrymandering-illegal-mathematicians-can-prove/).
Prof. Duchin’s second talk, on Tuesday, Oct. 3, at 11:05 a.m. -12:05 p.m., in Wilmot 116, will be on Sprawl and other dispersion metrics.