Lorenzo Najt studies algorithms that can build a large group of maps for a state, predict their outcomes, then compare those to the map that legislators selected. He works with UW–Madison mathematics professor Jordan Ellenberg as well as associate professor Justin Solomon and postdoctoral associate Daryl DeFord at MIT.
“What if we had a big bag of all the different maps that you could have?” Najt explained. “If we reached our hand in and took out maps randomly and then compared them to the one that you proposed, maybe your map would look extremely unusual in terms of its partisan advantage.
Link: https://grad.wisc.edu/2020/04/23/mathematics-research-builds-better-ways-to-identify-gerrymandering/