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Explore how art metadata can be leveraged to understand audience interactions with art in this 44-minute seminar from GERAD Research Center. Delve into the application of computational processes such as topic models, NLP, and image extraction to analyze digitized art metadata from museums, galleries, and auction houses. Discover the potential of this unprecedented access to art-related data in improving and altering art viewing experiences. Learn about the ongoing efforts to parse metadata in traditional art world practices, moving beyond the current focus on generative AI in art and computation discourse. Gain insights into the value of operationalizing art metadata and its implications for understanding audiences' relationships with art.