International Journal for Digital Art History: Issue 2, 2016
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Big Data and Big Image Data (BID) open up tantalizing new vistas to the art historian. BID as a sub-category or - better yet - an extension of Big Data affords the possibility of processing and analyzing massive amounts of visual material using computational methods. BID will 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.

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Produktbeschreibung
Big Data and Big Image Data (BID) open up tantalizing new vistas to the art historian. BID as a sub-category or - better yet - an extension of Big Data affords the possibility of processing and analyzing massive amounts of visual material using computational methods. BID will 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.
Autorenporträt
Harald Klinke has a Ph.D. in art history and a Master of Science in Information Systems. Currently he is Assistant Professor at the Ludwig Maximilian University, Munich, and responsible for the doctoral program "Digital Art History". He conducts research on visual communication, digital media, and Big Image Data in art-historical contexts. From 2008 to 2009, he worked as a Lecturer of Visual Studies (Bildwissenschaft) at the Art History Department of the University of Göttingen. From 2009 to 2010, he conducted research, supported by a grant from the German Research Foundation (DFG), as a Visiting Scholar at Columbia University, New York. He has published books on American history paintings, digital images and art theory as visual epistemology.