Sampling, Optimization, and Evaluating Tradeoffs in Redistricting
Randomization, Neutrality, and Fairness October 23, 2023 - October 27, 2023
Location: SLMath: Eisenbud Auditorium, Online/Virtual
Sampling, Optimization, and Evaluating Tradeoffs in Redistricting
Tools from discrete sampling and optimization have become increasingly important for analyzing graph-based formulations of political redistricting, requiring both operationalizing legislative text and exploring complex Pareto frontiers. In this talk I will discuss recent applications and extensions of these techniques, including for court cases and line-drawing support, evaluating nonpartisan justifications for proposed plans, and balancing multiple population constraints to address within-cycle vote dilution. Along the way I will present related open problems and some proposals based on the cycle basis walk.
Sampling, Optimization, and Evaluating Tradeoffs in Redistricting
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