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Mathematical Analysis of Redistricting in Utah
We discuss difficulties of evaluating partisan gerrymandering in the congressional districts in Utah and the failure of many common metrics in Utah. We explain why the Republican vote share in the least-Republican district (LRVS) is a good indicator of ...
Annika King +4 more
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Sometimes there are clear and natural limits to the scope of action of a science, and in other cases they are simply convenient ones. Geographic Information Science (GISc) is a transversal science, with contacts with all geosciences but also with ...
Carlos López-Vázquez +2 more
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Gerrymandering in the High School Classroom
Teaching gerrymandering in our high school geometry classrooms provides students with a unique opportunity to use mathematics to describe, analyze and make sense of the world around them.
Kate Belin, Courtney Ferrell
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A Computational Approach to Measuring Vote Elasticity and Competitiveness
The recent wave of attention to partisan gerrymandering has come with a push to refine or replace the laws that govern political redistricting around the country.
Daryl DeFord +2 more
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Understanding Our Markov Chain Significance Test: A Reply to Cho and Rubinstein-Salzedo
The article of Cho and Rubinstein-Salzedo seeks to cast doubt on our previous paper, which described a rigorous statistical test which can be applied to reversible Markov chains.
Maria Chikina +2 more
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Using Intelligent Clustering to Implement Geometric Computation for Electoral Districting
Traditional electoral districting is mostly carried out by artificial division. It is not only time-consuming and labor-intensive, but it is also difficult to maintain the principles of fairness and consistency.
Ying-Che Hung, Liang-Yü Chen
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Political districting without geography
Geographical considerations such as contiguity and compactness are necessary elements of political districting in practice. Yet an analysis of the problem without such constraints yields mathematical insights that can inform real-world model construction.
Gerdus Benadè +2 more
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Understanding Significance Tests From a Non-Mixing Markov Chain for Partisan Gerrymandering Claims
Recently, Chikina, Frieze, and Pegden proposed a way to assess significance in a Markov chain without requiring that Markov chain to mix. They presented their theorem as a rigorous test for partisan gerrymandering. We clarify that their ε-outlier test is
Wendy K. Tam Cho +1 more
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Wyniki wyborów w Stanach Zjednoczonych z 2016 r. dla wielu Polaków były szokiem, gdyż część osób nie rozumie, na jakiej podstawie Hillary Clinton, która zdobyła więcej głosów w wyborach ogólnych, mogła przegrać walkę o prezydenturę z Donaldem Trumpem ...
Jakub Mateusz Łach
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Optimal Legislative County Clustering in North Carolina
North Carolina’s constitution requires that state legislative districts should not split counties. However, counties must be split to comply with the “one person, one vote” mandate of the U.S. Supreme Court.
Daniel Carter +4 more
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