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.
Immediately following his QSS fellowship, David served for two years as a lecturer for both QSS and the Department of Government. While at Dartmouth, David was involved in a number of projects exploring ways in which elections distort representation. He 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 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. David iscurrently 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.
David will begin a tenure track position at the Univeristy of Georgia in the fall of 2019