In collaboration with mathematicians at Tufts University, we are studying how to establish fair, mathematically well-posed, and computationally tractable standards for political redistricting.

Gerrymandering is a direct threat to our democracy, undermining founding principles like equal protection under the law and eroding public confidence in elections. With the goal of combating design of unfair districting plans, the Metric Geometry and Gerrymandering Group (MGGG) is a small nonpartisan Boston-based team of mathematicians working on applications of geometry and computer science to U.S. redistricting. This group (including Prof. Justin Solomon and Dr. Ari Nieh at MIT and Prof. Moon Duchin and Dr. Mira Bernstein at Tufts) is organizing regular Geometry of Redistricting Workshops to promote fair voting practices and introduce the challenges of redistricting to a wide audience of mathematicians, educators, and legislators. On the research side, the team is working to propose measures of districting plan compactness and fairness and to develop algorithms and software assisting in the redistricting process.


Mira Bernstein (Tufts)

Moon Duchin (Tufts)

Ari Nieh (Tufts)