I study American politics, focusing on American elections. My research uses novel experimental and computational techniques to study understudied topics in the administration of American elections.
Interests
Election Administration
Computational Methods
Field Experiments
Voter Information
Administrative Date
Academia
Massachusetts Institute of Technology
2017
- 2023
Ph.D. Political Science
Rice University
2013
- 2017
B.A. Political Science, Statistics, Policy Studies
News
news section subtitle
MIT News, Making Each Vote Count, Jacob Jaffe uses data science to identify and solve problems in election administration.
Recent Publications
Custom Subtitle: see my google scholar for the latest list
How Accurate is Vote Tabulation,
2022,
ESRA Conference Poster
Jacob Jaffe
Analyzing Time to Vote Using a 2-Phase Coxian Distribution,
2022,
Polmeth Conference Poster
Jacob Jaffe
Converting Voters to Mail with Email ,
2022,
MPSA Conference Paper
Jacob Jaffe
Modeling Voting Service Times with Machine Logs,
2018,
ESRA Conference Paper
Jacob Jaffe
,
Charles Stewart III
,
Jacob Coblentz
A Direct Test for Consistency of Random Effects Models that Outperforms the Hausman Test ,
2017,
Houston Methods Meeting Conference Paper
Justin Esarey
,
Jacob Jaffe
Projects
Custom Subtitle: see my github for the complete list
MIT Election and Data Science Lab, Data and Projects