Cultural data analysis and visualization are important methods and research fields both for art historians and information scientists. Thus, the goal of this Spring School is to bring art historians and information scientists together to work on data.

Art history is on the brink of new research methods. Qualitative research is being augmented with digital methods. While the traditional approach of art history is to compare single artworks and place them in the historic context of the history of art (close viewing), the computer can process and compare whole databases with millions of images which allows new insights into collections and oeuvres (distant viewing). Art historians have always used data – visual data. The slide library has been the resource of reproduction from original artworks. With image databases in use that contain digital visual data, that information can be subject to computer aided analysis. This is an opportunity for art historical research and will impact information science as well.

Participants should apply with a short motivation statement including their interests, expertise and affiliation. Applications accepted until January 10, 2017 via this application form. Notifications can be expected by January 15. If you have any questions, please don’t hesitate to get in contact with us at

More information on the website Coding Dürer