Loeb Lecture:

Loeb Lecture: "Finding Fairness: Random Walks and Redistricting"

Moon Duchin, Tufts University

Mathematical modeling and algorithmic decisionmaking is explosively expanding its reach in governance, policy, and across the spectrum of human activity. The law isn't necessarily catching up very quickly! In this Loeb Lecture, Moon Duchin will give a tour of how mathematicians are using randomized algorithms to track political fairness, and how courts and commissions are trying to make sense of the story we are telling. She will use partisanship in Missouri as an illustrative case study.

Moon Duchin is an associate professor of Mathematics, a senior fellow in the Jonathan M. Tisch College of Civic Life, and director of the Program in Science, Technology, and Society at Tufts University. Her pure math work is in geometry, topology, groups, and dynamics. Her work in applied pure math includes collaborations with civil rights organizations, data and computational scientists, political scientists, lawyers, and geographers on a large-scale project to detect and address gerrymandering.

Duchin concentrated in mathematics and women’s studies at Harvard College and received her doctorate in mathematics from the University of Chicago. She has been awarded an NSF CAREER grant, a Guggenheim Fellowship, and a Radcliffe Institute Fellowship; is a Fellow of the American Mathematical Society (AMS); and has been selected to give the prestigious AMS Einstein Public Lecture in mathematics in 2020.

Host: Ari Stern

Tea will be served at 3:30 p.m. in Cupples I, room 200.