Ph.D. Candidate
Department of Government
Harvard University
My research focuses on democratic representation in American Politics. In an ongoing project, I examine the structure of voting across levels of government, between candidates and issues, and within party coalitions, using ballot image logs. I am also interested in public opinion measurement, survey methods, and applied statistics more generally. Prior to and during graduate school, I worked at the Analyst Institute in Washington D.C., where I implemented and analyzed campaign field experiments.
kuriwaki@g.harvard.edu
1737 Cambridge Street
Room 411, CGIS Knafel Building
Cambridge, MA 02138
The ballot image log project is collecting and organizing public ballot image log data (also known as Cast Voter Records) to advance the understanding of voting patterns in federal, state and local elections. One of the project's goals is to establish a relational database for such data. This project is one of the 2018 New Initiative Grants from the MIT Election Data and Science Lab and the Madison Initiative of the William and Flora Hewlett Foundation. See a poster version of this ongoing work here.
I develop teaching material for classes on American Public Opinion, Statistics, and Programming.
I taught the Government Math Prefresher for incoming PhD students in 2017 (with Connor Jerzak) and 2018 (with Yon Soo Park). The Prefresher's original text is available in a web book form.
Additonally: My statistics notes covering Probability, Inference, and Regression written for a Masters-level Statistics and Quantitative Analysis (source). Notes for an introduction to Stata (source) and project management ( source ).
Cumulative CCES Common Content (2006-2017)