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Explore the fascinating world of social choice theory in this 56-minute lecture by Moon Duchin from Cornell University, presented at the 2024 SIAM Conference on Mathematics of Data Science. Discover how different voting rules—essentially algorithms that transform multiple preferences into single decisions—can yield dramatically different outcomes. The talk focuses specifically on representative elections, with timely relevance to upcoming United States electoral processes. Learn about the goals and norms of representation while gaining insight into new tools for modeling and describing electoral data. Gain a fresh perspective on electoral reform as a design challenge that modern democracies must address. This presentation offers valuable insights at the intersection of mathematics, data science, social science, and democratic processes.
