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Explore how contemporary humanities scholars are revolutionizing traditional research through data science and quantitative analysis in this faculty panel discussion. Discover innovative approaches to studying literature, culture, and art through the lens of digital humanities methodologies. Learn from University of Chicago faculty members Niall Atkinson, Associate Professor of Art History, Romance Languages and Literature, and Hoyt Long, Chair of the Department of East Asian Languages and Civilizations and Professor of Japanese Literature, as they demonstrate how quantitative methods are transforming humanistic inquiry. Gain insights into the intersection of technology and traditional humanities disciplines, understanding how data-driven approaches can reveal new patterns and perspectives in cultural studies, literary analysis, and art historical research. Examine specific case studies and methodologies that showcase the practical applications of computational tools in humanities scholarship, bridging the gap between quantitative analysis and interpretive research in the arts and humanities.
