PhD Candidate, Austin Kozlowski from the University of Chicago will be presenting on Computational Sociology.
Bio: "Kozlowski uses computational and statistical methods to study the relationship between culture and politics. His research focuses on the questions of how belief systems are structured and why certain ideas seem to "go together." By developing new methods and adapting novel data sources, he attempts to shed new light on these age-old questions from the sociology of knowledge and culture. In previous work, he developed ways to use word embedding models to discover cultural categories and associations in text. Kozlowski 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 his dissertation, he applies word embedding models as well as qualitative approaches and methods drawn from bioinformatics to understand how historic cultural divisions have become mapped onto current political divides in the United States."