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      Data Materiality

      Electronic Visualisation and the Arts (EVA 2014) (EVA)

      Electronic Visualisation and the Arts (EVA 2014)

      8 - 10 July 2014

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          Abstract

          This demonstration develops a series of illustrated case studies based on data-driven artworks developed by the author in the last five years. The artworks all examine the notion of using data as a raw material that can be filtered, manipulated or moulded into representations which suggest an experience of the data, rather than an understanding of it. The preoccupation of these works Isn’t finding meaning or answers in the data, but rather to evoke Impressions in the viewer, to provide alternative perspectives, or perhaps pose new questions. Aesthetic considerations are also derived from the unique nature of each individual dataset, in the same way one would engage with any other type of raw material. The interactive presentation will reflect on and situate these works according to theories, ideas and paradoxes within the current discourse on data art, for instance data as anti-information, anti-sublime, as an immaterial material and or as a found object.

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          Author and article information

          Contributors
          Conference
          July 2014
          July 2014
          : 277-278
          Affiliations
          Ryerson University

          Toronto, Canada
          Article
          10.14236/ewic/EVA2014.65
          © David Bouchard Published by BCS Learning and Development Ltd. Electronic Visualisation and the Arts (EVA 2014), London, UK

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Electronic Visualisation and the Arts (EVA 2014)
          EVA
          London, UK
          8 - 10 July 2014
          Electronic Workshops in Computing (eWiC)
          Electronic Visualisation and the Arts (EVA 2014)
          Product
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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