Database aesthetics [electronic resource]

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  • Database aesthetics [electronic resource] Book Detail

  • Author : Viktorija Vesna Bulajić
  • Release Date : 2007
  • Publisher : U of Minnesota Press
  • Genre :
  • Pages : 327
  • ISBN 13 : 1452913064
  • File Size : 31,31 MB

Database aesthetics [electronic resource] by Viktorija Vesna Bulajić PDF Summary

Book Description: Database Aesthetics examines the database as cultural and aesthetic form, explaining how artists have participated in network culture by creating data art. The essays in this collection look at how an aesthetic emerges when artists use the vast amounts of available information as their medium. Here, the ways information is ordered and organized become artistic choices, and artists have an essential role in influencing and critiquing the digitization of daily life. Contributors: Sharon Daniel, U of California, Santa Cruz; Steve Deitz, Carleton College; Lynn Hershman Leeson, U of California, Davis; George Legrady, U of California, Santa Barbara; Eduardo Kac, School of the Art Institute of Chicago; Norman Klein, California Institute of the Arts; John Klima; Lev Manovich, U of California, San Diego; Robert F. Nideffer, U of California, Irvine; Nancy Paterson, Ontario College of Art and Design; Christiane Paul, School of Visual Arts in New York; Marko Peljhan, U of California, Santa Barbara; Warren Sack, U of California, Santa Cruz; Bill Seaman, Rhode Island School of Design; Grahame Weinbren, School of Visual Arts, New York. Victoria Vesna is a media artist, and professor and chair of the Department of Design and Media Arts at the University of California, Los Angeles.

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Database aesthetics [electronic resource]

Database aesthetics [electronic resource]

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Database Aesthetics examines the database as cultural and aesthetic form, explaining how artists have participated in network culture by creating data art. The

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Database Aesthetics examines the database as cultural and aesthetic form, explaining how artists have participated in network culture by creating data art. The

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Edited by Joke Brouwer and Arjen Mulder. Essays by Lev Manovich, Brian Massumi, Rafael Lazano-Hemmer, Scott Lash, Sher Doruff and Joel Ryan.