Bio
Daniel Karell’s research uses computational and quantitative methods to examine the intersection of social movements, culture, and technology. For example, some projects investigate how people’s interactions with AI can influence their understanding of the social world, including their perceptions of history and behavior towards people in different social groups. Another project analyzes the social and cultural dynamics of backlash, with a focus on the Blue Lives Matter movement during 2020. Daniel’s research has appeared in several academic journals, including American Sociological Review, Sociological Methods & Research, Sociological Methodology, and PNAS Nexus. His work has won awards from the American Sociological Association’s section on Collective Behavior and Social Movements and the Journal of Peace Research. In recent years, Daniel has been a Weatherhead Scholar at Harvard University and a Fung Global Fellow at Princeton University.
At Yale, Daniel is a faculty affiliate of the Institute for Foundations of Data Science and the Institution for Social and Policy Studies. He is also a co-organizer of the Computational Social Science Workshop. Daniel teaches courses on integrating AI into social science research methods, computational approaches to studying culture, and the sociology of backlash.