Big Image Data (BID) is perceived in some quarters as a threat—lack of familiarity with digital technology awakens fears that art historians as traditionally conceived of them will be supplanted by screen-bound technophiles stripped of all aesthetic sensibility. But while some may say that theory and methodological approaches past and present will become wholly obsolete thanks to Big Data, we beg to differ. We believe that as well as expanded access to image banks, BID will also provide art historians with a whole new set of analytic tools, adding new tonal range to our discipline without discarding any of the traditional art historical methods.
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.
is co-founder and editor of DAHJ. Previously, she has worked as Research Assistant in Architectural and Cultural Theory at the TUM Munich from 2014 to 2017. From 2010 until 2014 she coordinated a digital humanities project at the University of Arts and Design Karlsruhe, funded by the German Federal Ministry of Education and Research (BMBF).