Data Science for the Arts and Humanities

Explore the intersection of data science with the humanities and arts in this 51-minute talk featuring Dr. Katie McDonough and Dr. Daniel Wilson from The Alan Turing Institute. Discover how their research bridges the gap between these disciplines, with a particular focus on the MapReader software developed for large-scale map and image analysis. Learn about the growing applications of data science techniques in historical research, digital humanities, and the analysis of cultural artifacts. Gain insights into how computational methods are transforming traditional approaches to studying art, literature, and historical documents.