Case Western Reserve University’s Department of Physics and the Baker-Nord Center for the Humanities will co-sponsor a virtual event titled “Data Science in Art: Discerning the Painter’s Hand” Thursday, Oct. 1, from 4 to 5 p.m. The colloquium will include presentations by:
Ken Singer, the Ambrose Swasey Professor of Physics;
Michael Hinczewski, the Warren E. Rupp Associate Professor of Physics;
Ina Martin, senior research associate of physics; and
Betsy Bolman, the Elsie B. Smith Professor in the Liberal Arts and chair of the Department of Art History and Art.
The colloquium will focus on the application of machine learning techniques developed by researchers from CWRU, the Cleveland Museum of Art, and the Cleveland Institute of Art. Speakers will discuss their research on the interdisciplinary role of machine learning, neural networks and confocal optical profilometry data in studying the surface topography of paintings.