Data-Driven Art History: Framing, Adapting, Documenting

Data-Driven Art History: Framing, Adapting, Documenting
This is the first post in Data Praxis,Ā a new series edited by Thomas PadillaĀ  Matthew Lincoln is a PhD candidate in Art History at theĀ University of Maryland, College Park. Matthew isĀ interested in the potential for computer-aided analysis of cultural datasets to help model long-term artistic trends in iconography, art markets, and social relations between artists ...