Beschreibung
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
Liska Surkemper is a Ph.D. candidate for architectural and cultural theory at the Technical University Munich. She conducts research on visual epistemology and the interrelationship of pictures, architecture and economy. From 2010 to 2014, she was a researcher and lecturer at the Department of Art Research and Media Philosophy at the University of Arts and Design Karlsruhe. She was also coordinator for the DH project "Memory of Scientific Knowledge and Artistic Approaches", which was supported by the German Federal Ministry of Education and Research (BMBF). Together with computer scientists, designers and arts scholars she helped develop the web application "Presenter": a tool for visualizing, sharing and archiving scientific and artistic knowledge.
Herstellerkennzeichnung:
BoD - Books on Demand
In de Tarpen 42
22848 Norderstedt
DE
E-Mail: info@bod.de
