In researching how to ensure a statewide voter registration database’s accuracy and integrity, this analysis develops a Bayesian multivariate multilevel model to account for correlated patterns of change over time in multiple response variables, and label statewide anomalies using deviations from model predictions.
Resources
Use our resource library to explore the latest research in the field of election science.
In this paper, authors provide recommendations from disability voting rights advocates on how to improve the physical accessibility of polling locations and the usability of accessible voting equipment.
Using monthly data from the Colorado Department of Motor Vehicles from 2017 to 2021, the research studies a series of reforms to the voter registration process conducted by the DMV between 2018 and 2020. Prior to the reforms, a large majority of unregistered DMV patrons declined the opportunity to register when conducting a transaction. When voter registration became the clear default option for certain unregistered Colorado DMV patrons in 2020, very few of them subsequently opted out, which resulted in a sudden, large increase in the rate at which DMV patrons registered to vote.
This paper examines whether minority and Democratic-leaning voters in Florida receive lower poll worker staffing. Using data from multiple elections, authors find evidence of partisan disparities in staffing levels, with Democratic-trending counties receiving worse service relative to Republican-trending counties. They apply operations management methods to document systemic resource allocation inequities in polling place operations.
This paper challenges the HAVA minimum of one ADA-compliant device per polling location as insufficient and recommends that local election officials determine the number of accessible devices based on the proportion of voters with disabilities in their jurisdiction.
The results in this article suggest that while convenience measures are designed to improve registration and voting rates, they may not result in across-the-board increases that some policymakers and advocates hope for. Nevertheless, there may be some differential impacts of these innovations on registration and turnout, particularly for youth and minority voters.
In this PhD dissertation, Schmidt introduces optimization and simulation models to support the design and operation of resilient in-person election voting systems. Three core contributions: (1) a discrete-event simulation of pandemic-resilient polling-place design, with a case study of Milwaukee, WI; (2) the Polling Location Consolidation Problem (PLCP), an integer programming model applied to Richland County, SC; and (3) an optimization model for ballot drop box siting in Milwaukee.
This research analyzes registrants in Wisconsin who were identified as potential movers and did not respond to a subsequent postcard. At least 4% of these registrants cast a ballot at their address of registration, with minority registrants twice as likely as white registrants to do so.
This MS thesis examines how polling place layout and path directionality affect voting system performance across turnout levels. The author models a two-step voting system in a theoretical 1,000 sq ft polling place using discrete event simulation, testing multiple layout configurations and voter routing strategies. They find that perimeter layouts with unidirectional voter flow minimize average travel distance and time-in-system across turnout levels.
This paper examines which voters are disenfranchised by voter ID laws, finding disproportionate impacts on Latino and Black voters who are more likely to lack required identification.
This toolkit helps election officials design and produce the materials poll workers need to set up and operate a polling place or vote center, including layout diagrams, signage, and procedural materials. It covers both traditional polling places and vote center models.
This paper explores how voting experiences and fraud perceptions influence voter confidence, revealing that negative voting experiences, particularly long wait times, are linked to decreased confidence and increased perceptions of fraud.