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.
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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 member of the Program Committee of the DFG-funded project "The Digital Image". 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 art theory, digital images and digital transformation.