Hello, my name is Nick Judd.

I am a political sociologist. I study the social structures that shape opportunities for political action and influence the organization of political parties.

My current research adjudicates between competing theories of party structure and develops new theory about the relationships between political elites and their supporters. Using data on campaign finance records in U.S. federal elections, I present new evidence about the activity of sub-party coalitions, or fractions. I demonstrate effects of fractional politics on outcomes in elections and policymaking. In contrast to theoretical frameworks that theorize a party is controlled by a single, national party elite, my results show that major parties comprise multiple fractions. These fractions gain or lose power through many smaller, local conflicts. In another project, I study the interactions between news professionals and political elites on social media. A third project explores social inequalities in access to political representation.

My methodological interests include the quantitative analysis of large administrative data sets, computational methods for the analysis of large networks, survey analysis, semi-structured interviews, and archival research.

I hold a Ph.D. in Sociology from The University of Chicago, where I am currently a postdoctoral fellow.

From 2011-2013 I was managing editor of techPresident, a news website about technology, politics, and civic life around the world. With a small editorial staff and an international network of freelancers, we consistently set the terms for discussion and debate about the role of the Internet in political campaigns, the relationships between governments and citizens online, and the growing power of platform companies. My journalism has appeared on Vice.com, Yahoo News, and elsewhere.

I also teach courses in quantitative social science in the College of the University of Chicago.

I have held fellowships at The Sunlight Foundation, where I was a Google Journalism Fellow, and Pew Research Center, where I was a fellow on the Data Labs team.