Multimodal Cinemetrics

How can we engage in distant viewing of film and television at scale? How can we work with AI/ multimodal models to help us uncover patterns in how stories are told such as how shots are ​composed and dialogue is paced?  What new questions might this open for researchers, filmmakers, and critics? This talk is an exploration of these questions through the lens of what we are calling "multimodal cinemetrics”, which is a framework for AI-driven analysis of time-based media.   

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Lauren Tilton is the E. Claiborne Robins Professor of Liberal Arts and Digital Humanities at the University of Richmond. She specializes in computational approaches to studying 20th and 21st century visual culture. Her most recent co-authored books include Distant Viewing: Computational Exploration of Digital Images (MIT Press), Humanities Data in R 2nd Edition (Springer), and Computational Humanities (University of Minnesota Press). Her award-winning scholarship has received funding from the American Council of Learned Societies, National Endowment for the Humanities, and Mellon. She is Editor-in-Chief of Computational Humanities, an open access journal with Cambridge University Press. She is President of the Association for Computers and the Humanities (ACH), the scholarly association for digital humanities in the United States, and President of the Association of Digital Humanities Organization (ADHO), the global DH association. She earned her PhD in American Studies from Yale University.