William Rainey Harper/Provost Fellow
Doctoral Candidate

BA, Sociology, University of Michigan

MA, Sociology, University of Chicago



I use computational and statistical methods to study the relationship between culture and politics. My research examines how belief systems evolve and why certain sets of ideas tend to "go together." By developing new methods and adapting novel data sources, I attempt to shed new light on these classic questions from the sociology of knowledge and culture.

In previous work, I have developed ways to use word embedding models to discover cultural categories and associations in text. I have also examined political conservatives' loss of trust in scientists, the role ideology plays in shaping economists' expert opinions, and the evolving patterns of political alignments in the American public. In my dissertation, I apply word embedding models as well as qualitative approaches and methods drawn from bioinformatics to understand how historic cultural cleavages have become mapped onto current political divides in the United States.


Kozlowski, Austin C., Matt Taddy, and James A. Evans. 2019. “The Geometry of Culture: Analyzing the  Meanings of Class through Word Embeddings.” American Sociological Review, 84(5):905-949.

Kozlowski, Austin C. and James P. Murphy. 2021. “Issue Alignment and Partisanship in the American  Public: Revisiting the ‘Partisans without Constraint’ Thesis.” Social Science Research, 94:102498.

Kozlowski, Austin C. 2021. "How Conservatives Lost Confidence in Science: The Role of Ideological Alignment in Political Polarization." Social Forces.