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The research lab investigates the relationships between the self and society, and how power, knowledge, technology, and culture interact. The work seeks to understand the nature of epistemic injustice: how systems of power shape the ways we understand the world, and how marginalized knowledge can be amplified through social learning and technology. The lab is particularly interested in how beliefs about people and societal structures influence judgments, focusing on technologies marketed as 'artificial intelligence' and their potential to reinforce existing social inequalities. The research integrates theoretical perspectives from cognitive science, social psychology, philosophy, science and technology studies, and data science. A variety of research methods are employed, including both behavioral experiments conducted in the lab and online, field studies, computational modeling, and machine learning. There is a strong emphasis on bridging quantitative and qualitative methods to better understand human experiences and transformations.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.