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相关论文: Congressional Districting: "Rocks-Pebbles-Sand"

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We develop methods to evaluate whether a political districting accurately represents the will of the people. To explore and showcase our ideas, we concentrate on the congressional districts for the U.S. House of representatives and use the…

Using an ensemble of redistricting plans, we evaluate whether a given political districting faithfully represents the geo-political landscape. Redistricting plans are sampled by a Monte Carlo algorithm from a probability distribution that…

In the process of redistricting, one important metric is the number of competitive districts, that is, districts where both parties have a reasonable chance of winning a majority of votes. Competitive districts are important for achieving…

数据结构与算法 · 计算机科学 2024-04-18 Gabriel Chuang , Oussama Hanguir , Clifford Stein

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. Given that counties must be…

计算机与社会 · 计算机科学 2019-09-02 Daniel Carter , Zach Hunter , Dan Teague , Gregory Herschlag , Jonathan Mattingly

In this paper, we apply techniques of ensemble analysis to understand the political baseline for Congressional representation in Colorado. We generate a large random sample of reasonable redistricting plans and determine the partisan…

计算机与社会 · 计算机科学 2021-03-25 Jeanne Clelland , Haley Colgate , Daryl DeFord , Beth Malmskog , Flavia Sancier-Barbosa

We introduce a non-partisan probability distribution on congressional redistricting of North Carolina which emphasizes the equal partition of the population and the compactness of districts. When random districts are drawn and the results…

物理与社会 · 物理学 2014-11-03 Jonathan C. Mattingly , Christy Vaughn

This paper is to obtain a simple dividing-diagram of the congressional districts, where the only limit is that each district should contain the same population if possibly. In order to solve this problem, we introduce three different…

计算机与社会 · 计算机科学 2007-08-17 Pan Kai , Tan Yue , Jiang Sheng

Deciding whether a political districting plan was distorted by a hidden agenda, or whether it dilutes the voting power of some group, requires a neutral baseline for comparison. Remarkably, all nine U.S. Supreme Court justices have now…

物理与社会 · 物理学 2025-11-18 Sarah Cannon , Moon Duchin , Dana Randall , Parker Rule

The outcome of elections is strongly dependent on the districting choices, making thus possible (and frequent) the gerrymandering phenomenon, i.e.\ politicians suitably changing the shape of electoral districts in order to win the…

最优化与控制 · 数学 2019-10-22 Alberto Saracco , Giorgio Saracco

Researchers and legislators alike continue the search for methods of drawing fair districting plans. A districting plan is a partition of a state's subdivisions (e.g. counties, voting precincts, etc.). By modeling these districting plans as…

组合数学 · 数学 2023-03-13 Jared Grove , Suely Oliveira , Anthony Pizzimenti , David E. Stewart

We investigate the distribution of partisanship in a cross-section of ten diverse States to elucidate how votes translate into seats won and other metrics. Markov chain simulations taking into account partisanship distribution agree…

物理与社会 · 物理学 2021-03-03 Constantine , Gonatas

Partisan gerrymandering poses a threat to democracy. Moreover, the complexity of the districting task may exceed human capacities. One potential solution is using computational models to automate the districting process by optimizing…

计算机与社会 · 计算机科学 2020-06-30 Olivia Guest , Frank J. Kanayet , Bradley C. Love

Gerrymandering is a pervasive problem within the US political system. In the past decade, methods based on Markov Chain Monte Carlo (MCMC) sampling and statistical outlier tests have been proposed to quantify gerrymandering and were used as…

计算机与社会 · 计算机科学 2025-01-13 Ranthony A. Clark , Susan Glenn , Harlin Lee , Soledad Villar

In the computational study of political redistricting, feasibility necessitates the use of a discretization of regions such as states, counties, and towns. In nearly all cases, researchers use a dual graph, whose vertices represent small…

离散数学 · 计算机科学 2026-04-08 Sara Anderson , Sarah Cannon , Brooke Feinberg , Anne Friedman

The topic of this paper is "gerrymandering", namely the curse of deliberate creations of district maps with highly asymmetric electoral outcomes to disenfranchise voters, and it has a long legal history. Measuring and eliminating…

计算复杂性 · 计算机科学 2020-08-05 Tanima Chatterjee , Bhaskar DasGupta

After every U.S. national census, a state legislature is required to redraw the boundaries of congressional districts in order to account for changes in population. At the moment this is done in a highly partisan way, with districting done…

计算机与社会 · 计算机科学 2017-11-15 Jason Dou

The boundaries of electoral constituencies for assembly and parliamentary seats are drafted using a process referred to as delimitation, which ensures fair and equal representation of all citizens. The current delimitation exercise suffers…

数据结构与算法 · 计算机科学 2024-02-19 Sahil Kale , Gautam Khaire , Jay Patankar , Pujashree Vidap

Recently, an increasing number of researchers, especially in the realm of political redistricting, have proposed sampling-based techniques to generate a subset of plans from the vast space of districting plans. These techniques have been…

人工智能 · 计算机科学 2022-06-09 Subhodip Biswas , Fanglan Chen , Zhiqian Chen , Chang-Tien Lu , Naren Ramakrishnan

Every representative democracy must specify a mechanism under which voters choose their representatives. The most common mechanism in the United States -- Winner takes all single-member districts -- both enables substantial partisan…

计算机科学与博弈论 · 计算机科学 2026-02-23 Nikhil Garg , Wes Gurnee , David Rothschild , David Shmoys

We use voting precinct and election data to analyze the political geography of New Hampshire and Maine. We find that the location of dividing line between Congressional districts in both states are significantly different than what we would…

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