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相关论文: 3:1 Nesting Rules in Redistricting

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In eight states, a "nesting rule" requires that each state Senate district be exactly composed of two adjacent state House districts. In this paper we investigate the potential impacts of these nesting rules with a focus on Alaska, where…

社会与信息网络 · 计算机科学 2020-05-27 Sophia Caldera , Daryl DeFord , Moon Duchin , Samuel C. Gutekunst , Cara Nix

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…

In the design and analysis of political redistricting maps, it is often useful to be able to sample from the space of all partitions of the graph of census blocks into connected subgraphs of equal population. There are influential Markov…

离散数学 · 计算机科学 2021-10-28 Ariel D. Procaccia , Jamie Tucker-Foltz

In the context of modern sampling methods for redistricting, we define a natural measurement of the clustering of a political party, and we study how clustering affects the expected election outcome. We first prove general results and then…

物理与社会 · 物理学 2020-03-12 Kristopher Tapp

In representative democracy, a redistricting map is chosen to partition an electorate into districts which each elects a representative. A valid redistricting map must satisfy a collection of constraints such as being compact, contiguous,…

计算机科学与博弈论 · 计算机科学 2024-12-10 Seyed A. Esmaeili , Darshan Chakrabarti , Hayley Grape , Brian Brubach

Redistricting is the problem of partitioning a set of geographical units into a fixed number of districts, subject to a list of often-vague rules and priorities. In recent years, the use of randomized methods to sample from the vast space…

计算机与社会 · 计算机科学 2019-11-14 Daryl DeFord , Moon Duchin , Justin Solomon

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

Redistricting is the process by which electoral district boundaries are drawn, and a common normative assumption in this process is that districts should be drawn so as to capture coherent communities of interest (COIs). While states rely…

社会与信息网络 · 计算机科学 2023-09-26 Jacob Kruse , Song Gao , Yuhan Ji , Daniel P. Szabo , Kenneth Mayer

Gerrymandering, the deliberate manipulation of electoral district boundaries for political advantage, is a persistent issue in U.S. redistricting cycles. This paper introduces and analyzes a new phenomenon, 'votemandering'- a strategic…

计算机科学与博弈论 · 计算机科学 2023-08-17 Sanyukta Deshpande , Ian G Ludden , Sheldon H Jacobson

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

Algorithmic and statistical approaches to congressional redistricting are becoming increasingly valuable tools in courts and redistricting commissions for quantifying gerrymandering in the United States. While there is existing literature…

计算机与社会 · 计算机科学 2021-11-18 Gilvir Gill

We examine the extent of gerrymandering for the 2010 General Assembly district map of Wisconsin. We find that there is substantial variability in the election outcome depending on what maps are used. We also found robust evidence that the…

应用统计 · 统计学 2017-09-07 Gregory Herschlag , Robert Ravier , Jonathan C. Mattingly

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 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

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

This article expands on the redistricting algorithm proposed by Chen and Rodden (2015) for states with fewer than eight congressional districts, populations highly concentrated in urban areas, or state laws that require preservation of…

物理与社会 · 物理学 2025-08-11 Stefanie G. Wang , Nathaniel C. Merrill

Ensemble analysis has become central to redistricting litigation, but parameter effects remain understudied. We analyze 315 ReCom ensembles across the three legislative chambers in 7 states, systematically varying the population tolerance,…

物理与社会 · 物理学 2025-05-28 Kristopher Tapp , Todd Proebsting , Alec Ramsay

When auditing a redistricting plan, a persuasive method is to compare the plan with an ensemble of neutrally drawn redistricting plans. Ensembles are generated via algorithms that sample distributions on balanced graph partitions. To audit…

物理与社会 · 物理学 2024-02-01 Gabriel Chuang , Gregory Herschlag , Jonathan C. Mattingly

To audit political district maps for partisan gerrymandering, one may determine a baseline for the expected distribution of partisan outcomes by sampling an ensemble of maps. One approach to sampling is to use redistricting policy as a…

计算机与社会 · 计算机科学 2022-10-11 Zhanzhan Zhao , Cyrus Hettle , Swati Gupta , Jonathan Mattingly , Dana Randall , Gregory Herschlag
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