Resources

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

186 Resources

John Fortier and Charles Stewart IIIMIT Election Data and Science Lab/ American Enterprise Institute2021
In-Person Voting Reports

This report reviews multiple topics related to conducting the 2020 general election, including meeting the challenge of voting in person during the COVIS-19 pandemic.

Voter Trust Reports

This survey report focuses on election misinformation, fraud narratives, or public misperceptions and their effects on confidence in U.S. elections. It is relevant because beliefs about fraud and exposure to misleading claims are central mechanisms through which confidence in election outcomes rises or falls. For this dataset, it helps explain why the 2020 election became a turning point in public debates over fraud, mail voting, certification, and legitimacy.

Jennifer Gaudette, Seth Hill, Thad Kousser, Mackenzie Lockhart, Mindy Romero, Laura UribeCenter for Inclusive Democracy2021
Voter Trust Academic Papers

Report offering solutions on how public information campaigns by state election officials could mitigate polarized trust in election integrity.

Cynthia Chen, Arisa Sadeghpour, Matt Lamb2021
In-Person Voting Academic Papers

In this paper, authors analyze how transitioning to vote centers impacts voters' experiences, noting that inadequate implementation may result in longer waits and increased voter dissatisfaction.

Joshua D. Clinton, Nick Eubank, Adriane Fresh, Michael E. Shepherd2021
In-Person Voting Academic Papers

This paper examines how changes in Election Day polling place locations affect voter turnout. The authors analyze voter behavior in three presidential elections in North Carolina (2008 - 2016), finding that these changes reduce Election Day voting on average, but that the reduction is offset by substitution into early voting.

John Curiel, Charles Stewart III, Jack WilliamsMIT Election Data + Science Lab2021
Voter Trust Reports

This MIT Election Data + Science Lab analysis explains the 2020 “blue shift,” where later-counted ballots disproportionately favored Democrats, and why that pattern mattered for public interpretation of results.

Nicholas D. Bernardo, Shanna Pearson-Merkowitz, Gretchen A. Macht2021
In-Person Voting Academic Papers

In this paper, authors explore how ballot length affects specific types of voting errors, including human-machine interaction errors and voter ballot-marking errors.

Stephen PettigrewHarvard University2021
In-Person Voting Academic Papers

In this paper, Pettigrew demonstrate that for every additional hour a voter waits in line, their probability of voting in the subsequent election drops by one percentage point. He finds that negative experiences carry over to future elections disproportionately for underrepresented voters.

Phoebe Henninger, Marc Meredith, Michael Morse2021
In-Person Voting Academic Papers

In this paper, authors find that non-white voters are more likely to lack acceptable photo identification, and that those voting without ID are disproportionately Latino and Black.

Adam M. Enders, Joseph E. Uscinski, Casey A. Klofstad, Kamal Premaratne, Michelle I. Seelig, Stefan Wuchty, Manohar N. Murthi, John R. Funchion2021
Voter Trust Academic Papers

Employing national surveys from 2012, 2016, 2018, and 2020, this paper that beliefs in election fraud are common and stable across time, and only occasionally relate to partisanship.

Philip Kortum, Michael D. Byrne, Julie WhitmoreRice University2020
In-Person Voting Academic Papers

This paper proposes a two-part framework for evaluating ballot-marking device verification, finding that while most voters can detect errors when they check their ballot, most do not check their ballot in the first place.

Yochai Benkler, Casey Tilton, Bruce Etling, Hal Roberts, Justin Clark, Robert Faris, Jonas Kaiser, Carolyn ScmittBerkman Klein Center2020
Voter Trust Reports

This research summary addresses how mail voting, absentee-ballot procedures, or claims about mail-ballot fraud affect voter confidence and perceived legitimacy. It is relevant because beliefs about fraud and exposure to misleading claims are central mechanisms through which confidence in election outcomes rises or falls. For this dataset, it helps explain why the 2020 election became a turning point in public debates over fraud, mail voting, certification, and legitimacy.