campanile and green trees with the sun shining
Cultural Analytics Workshop Week

Discussion with Lauren Tilton and Taylor Arnold

Wednesday, March 18, 2026
4:30 pm - 5:30 pm
AI Futures Lab, Downtown Berkeley
Lauren Tilton and Taylor Arnold

Co-sponsored by the Berkeley Institute for Data Science, the School of Information, and the Department of Scandinavian.

Space is limited. Submit the application form to request an invitation.

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Speakers

Lauren Tilton

Lauren Tilton is the E. Claiborne Robins Professor of Liberal Arts and Digital Humanities at the University of Richmond, Virginia. 

Her research focuses on analyzing, developing, and applying digital and computational methods to the study of 20th and 21st century documentary expression and visual culture. Tilton’s first book, Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Texts (2015, second edition forthcoming), built off work applying digital humanities to the study of photography for the digital, public humanities project, Photogrammar (photogrammar.org), which she directs. Her scholarship has appeared in journals such as American QuarterlyDigital Humanities QuarterlyDigital Scholarship in the Humanities, and Journal of Cultural Analytics

Her work has received support from ACLS, CLIR, NEH, and Mellon Foundation, and she recently finished a stint as a researcher with the Library of Congress as a part of the Computing Cultural Heritage in the Cloud Initiative. Her co-authored scholarship also includes Layered Lives: Rhetoric and Representation in the Southern Life History Project (layeredLives.org), which was released with Stanford University Press in 2022, and Distant Viewing: Computational Exploration of Digital Images (distantviewing.org/book), which was released with The MIT Press in 2023.  She is the co-editor of the forthcoming “Debates in the Digital Humanities: Computational Humanities” (University of Minnesota Press). She received her Ph.D. in American studies from Yale University.

Taylor Arnold

Taylor Arnold is a professor of data science and statistics at the University of Richmond, Virginia. His research applies and develops corpus-based techniques and software in order to study how messages are communicated through visual and multimodal forms. He is particularly interested in understanding the production and reception of messages transmitted through time-based media such as television and film. His research engages and collaborates with scholars from a variety of disciplines, including linguistics, statistics, epidemiology, information sciences, and media studies. 

Last updated: February 27, 2026