Andrei Boutyline

Andrei Boutyline is an Associate Professor in the Department of Sociology at the University of Michigan, affiliated with the College of Literature, Science, and the Arts. He holds a Ph.D. from the University of California, Berkeley (2017). His research integrates cognitive science and computational methods to study cultural systems, including both individual-level personal culture and societal-level public cultural representations. His work explores AI models as tools for cultural measurement, theories of culture, and cultural actors. Notable contributions include analyzing gender stereotypes in media, belief network structures, and ideological echo chambers in online networks.

Education:

• Ph.D. in Sociology, University of California, Berkeley, 2017

Research interests focus on:

• Cultural schemas and their measurement
• Computational sociology and AI applications
• Public opinion as cognitive systems
• Cultural dynamics at societal and individual levels

His publications appear in top journals like the American Journal of Sociology, American Sociological Review, and Social Forces, with a forthcoming review in the Annual Review of Sociology. He develops methodological tools such as the corclass R package for correlational class analysis.