Anne Kavalerchik is a dual-Ph.D. candidate of sociology and informatics, a National Science Foundation - Complex Networks and Systems Research Trainee, and a fellow of the Irsay Institute for the Sociomedical Sciences. As a sociologist trained in quantitative and computational methods, she uses this background to study the rise of the AI and algorithmic, data-driven knowledge. Her research leverages computational social science to answer questions at the intersection of the sociology of medicine and the sociology of technology, specifically the implications of AI on knowledge, expertise, and the professions.
Her dissertation is an expansive look at the social impact of AI for the medical profession. With a mixed methods approach that leverages computational and qualitative approaches, she answers fundamental questions about what the rise of AI-enabled medical technology means for the future of the medical profession - its status, authority, and agency. To create an expansive view of the rise of AI in the medical profession, she leverages data from different sources, including the US Food and Drug Administration and the US Patent and Trade Organization, texts from medical and AI-producing organizations, and in-depth interviews with doctors and technology producers. In this approach, she builds on the sociology of medical technology with critical insights from the rise of AI.
She uses networks to model the how the processes that define authority and knowledge are distinctly social and interconnected. She has presented in interdisciplinary venues such as the American Sociological Association, Sunbelt International Social Network Association, the International Conference for the Study of Science and Innovation, and the International Society for Scientometrics and Informetrics. Her research has been funded by the National Science Foundation, the Irsay Socio-Medical Institute, and the Indiana University Department of Sociology. Her solo-authored work has been published in Scientometrics.
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The College of Arts