Professor Moon Duchin from Cornell University Department of Mathematics presented their lecture "Designing Democracy"; part of a Distinguished Lecture Series in Interdisciplinary Mathematics, Computer Science and Engineering, supported by an NSF grant. It was co-sponsored by Union’s Department of Mathematics and the Templeton Institute.
How can mathematics help us to achieve a fairer electoral system, more representative leadership, and better protection for voting rights? Dr. Moon Duchin, Professor of Mathematics at Cornell University and leader of Cornell’s MGGG Redistricting Lab/Data and Democracy Lab in Cornell’s Brooks School of Public Policy, addressed this question by exploring current research in data science and its applications to public policy.
Abstract:
Systems of election are powerful tools for gauging preferences and fusing them into an outcome, including how to hire, whether to take collective action, how to spend a budget, or how to get political representation. The choice of election system faces tradeoffs when it comes to different desirable properties. In the context of rapid transformation in global democracy, this lecture will discuss "math for democracy," the design and tuning of our systems of election for fairness and healthy representative democracy.