Hire a QSS postdoctoral fellow

The Program in Quantitative Social Science has an active postdoctoral fellow program.  This program brings in bright and talented young scholars, who spend a year or two at Dartmouth following completion of their doctorates.  While on campus, QSS postdoctoral fellows work on their own research agendas and also collaborate with QSS-affiliated faculty members on joint projects.  

 

Erik Peterson

Erik examines the political consequences of the public's interactions with the media environment. This work explores the capacity of media outlets to provide political news, the choices individuals make to consume (or avoid) political information and the effects of exposure to political messages on public opinion. Erik studies these topics using a variety of data sources including digitized media directories, survey-linked web browsing data and survey experiments. His research has appeared in the American Political Science Review, the Journal of Politics, Political Behavior, American Politics Research and the Journal of Experimental Political Science. More information can be found at: www.erik-peterson.net.

D.J. Flynn

D.J. is a Postdoctoral Fellow with the Program in Quantitative Social Science at Dartmouth College. His research uses experimental and statistical tools to examine how misinformation affects democratic politics. He studies how misperceptions distort citizens' opinions, when and how misperceptions can be corrected, and how politicians communicate with their misinformed constituents. His methodological work focuses on experimental design and the measurement of factual knowledge in surveys and experiments. Before coming to Dartmouth, D.J. received a Ph.D. in political science from Northwestern. 

David Cottrell

David uses empirical and computational methods to explore political institutions in the United States, focusing on elections and representation. He is especially interested in how elections are affected by the location and manipulation of political boundaries. For example, David is involved in research that uses computer-automated districting algorithms to analyze the impact of gerrymandering on the partisan composition of Congress and on the lack of electoral competition in House elections. Furthermore, David's dissertation uses agent-based models and GIS methods to explore various ways in which geographically-defined political boundaries affect representation and policy administration.

 

Since coming to Dartmouth, David has been involved in a number of projects exploring ways in which elections distort representation. He has conducted research on disenfranchisement, measuring the extent to which African-Americans are removed from the electorate in thousands of legislative districts in the United States due to health and incarceration disparities. He has also analyzed claims of fraudulent voting in the 2016 presidential election to determine if voter fraud had a significant effect on Hillary Clinton's popular vote. And currently, David is working on a project that uses millions of voter check-in times during Florida's early voting period in 2012 to analyze how waiting in line to vote affects future electoral participation.