The use of the computer in Art History is changing the approach towards our objects of research. Now, we are able to compute more images than a human can see in a lifetime. That, in turn, calls for a new definition of the role of the researcher and the tools being used. The access to large amounts of visual data stands in a tradition of conventional methods of Art History, but also augments them with quantity. This article proposes a theoretical model on which to build an understanding of the meta image with which we interactively derive our conclusions.
is co-founder and editor of DAHJ. He is Assistant Professor at the LMU Munich and responsible for the Ph.D. program "Digital Art History". He holds a Ph.D. in Art History and a Master in Business Informatics and has been a Visiting Scholar at Columbia University and researcher at Volkswagen.