Resources

Use our resource library to explore the latest research in the field of election science.

107 Resources

Andrew W. Appel, Richard A. DeMillo, Philip B. StarkPrinceton University2020
In-Person Voting Academic Papers

In this paper, authors argue that ballot-marking devices cannot ensure that the paper ballot accurately reflects the voter's choices because voters rarely verify the printed ballot carefully enough to detect errors or manipulation.

Charles Stewart IIIStanford-MIT Healthy Elections Project2020
In-Person Voting Tools

This tool can be used to estimate outside queue capacity needs, average voter wait times, and the number of voters who will wait too long, given social distancing constraints that limit the number of people allowed inside a polling place at one time.

Hannah Klain, Kevin Morris, Max Feldman, Rebecca AyalaBrennan Center for Justice2020
In-Person Voting Reports

This report documents racial disparities in Election Day wait times, finding that voters in minority precincts face systematically longer waits than those in majority-white precincts.

In-Person Voting Tools

This tool provides eight key questions election officials should consider when designing or reviewing a ballot. These questions focus on layout, instructions, typography, and formatting to help minimize voter errors and undervoting.

Nicholas D. BernardoUniversity of Rhode Island2019
In-Person Voting Academic Papers

In this MS thesis, Bernardo investigates how ballot-length metrics (words, questions, selections, pages, sheets, bilingual status) affect voting errors during the 2018 Rhode Island midterm election. He uses logistic regression models that control for municipal- and precinct-level demographics to analyze machine-based, human-machine interaction, and ballot-marking errors. Bernardo finds that longer ballots and urban precincts significantly increase the odds of voting errors, with implications for ballot design and jurisdiction-level oversight.

James P. HoughtonUniversity of Rhode Island2019
In-Person Voting Academic Papers

In this MS thesis, Houghton develops a methodology to estimate voter arrival rates at polling stations using electronic poll book transaction logs. It includes service time observations collected through time studies during the 2018 Rhode Island midterm election across seven precincts. The study applies a Hidden Markov Model to infer voter arrival patterns from the check-in records. Finds that e-pollbook logs offer a scalable, less labor-intensive alternative to manual observation for estimating arrival rates.

Jeronimo Cortina, Brandon RottinghausUniversity of Houston2019
In-Person Voting Academic Papers

This paper analyzes how vote centers influence voter turnout in various election types in Texas, showing that their effect depends on the election context and voter demographics.

Conor M. Dowling, David Doherty, Seth J. Hill, Alan S. Gerber, Gregory A. Huber2019
In-Person Voting Academic Papers

This paper finds that large numbers of voters do not perceive their ballots as secret and harbor doubts about the institution's ability to keep them private, with perceptions varying by voting method and polling place design.

John C. Fortier, Charles Stewart III, Stephen Pettigrew, Matthew Weil, Tim HarperBipartisan Policy Center2018
In-Person Voting Reports

This report provides practical recommendations for reducing polling place wait times by improving line measurement and the management of polling place resources.

Center for Inclusive Democracy2018
In-Person Voting Tools

The Voting Location and Outreach Tool is a publicly available tool that allows users to visualize data on the number, location, and historical use of Election Day vote centers and polling places, and to project equitable distributions of locations for upcoming elections.

Natalie Adona, Paul Gronke2018
In-Person Voting Reports

This report surveys the public's views on election administration and reform, examining what voters value most in the voting experience and which changes they believe would improve it.

Jacob Jaffe, Charles Stewart III, Jacob CoblentzCaltech-MIT Voting Technology Project2018
In-Person Voting Academic Papers

In this paper, authors develop models to estimate voter service times from voting machine log data, providing election officials with a scalable approach to analyze and improve polling place operations.