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Moon duchin, who leads the university of chicago’s data and democracy lab, explores how math can help solve gerrymandering and improve electoral systems Duchin emphasizes that persistent homology is not primarily useful for classifying plans, while reinforcing the narrative of robustly identifying relationships between geography and aggregated vote data. Meron tekie menghistab for the new york.

Duchin leads the university’s data and democracy research initiative and spends her summers in a similar yet different way Duchin founded the metric geometry and gerrymandering group at tufts. She runs internships centering around how math helps solve gerrymandering and designs alternative electoral systems.

Duchin's work focuses on the mathematical underpinnings of gerrymandering, and how it can be addressed through a combination of mathematical modeling, computational algorithms, and a deeper understanding of the democratic process.at its core, gerrymandering is the practice of manipulating electoral district boundaries for partisan gain.

Moon duchin, who leads the university of chicago’s data and democracy lab, explores how math can help solve gerrymandering and improve electoral sys. In 2022 duchin appeared in the netflix documentary a trip to infinity, [11] discussing the mathematical implications of infinity Duchin's expertise in geometry has led her to conduct research on the mathematics of gerrymandering. Tufts university professor moon duchin, phd’05, thinks she can help—both in providing a better definition of compactness, and in bringing her fellow mathematicians into the legal conversation about redistricting

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