When
4 – 5 p.m., March 27, 2026
Where
Math, Room 501
Jonathan Mattingly, Duke University
Title: The Computational Challenges in Sampling for Quantifying Gerrymandering
Abstract: This talk will be a companion to the Bartlett Public lecture. I will recap quickly the problem so one does not need to have seen the first talk. Then I will dive into some of the algorithms we use and some of the mathematical difficulties we have encountered. I will talk about random walks on spanning forests, characterizing high-dimensional phase spaces, parallel tempering, and Markov Chain Monte Carlo.