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History of the future
Umeå University, Faculty of Science and Technology, Umeå School of Architecture.ORCID iD: 0009-0005-5735-1084
2024 (English)Artistic output (Unrefereed)
Physical description [en]

Video installation, 2d prints on metal, and AI generated sculptures.

Description [en]

A group show of comisioned work at the Cloud Art Museum Shenzhen, China from 26 Jun 2022 → 25 Aug 2022

Abstract [en]

F.N.S.X. @ History of the Future" exhibition is currently opened in Cloud Art Museum til 25 Aug, 2022. Four artists, Fei Jun, Daniel Shanken, Peter Nelson and Xu Yibo, are invited to participate in this exhibition curated by Janet Fong. The exhibition attempts to explore more possibilities on the correlation between physical spaceas and virtual spaces. It also takes the historical perspective of a microhistory[ “In the 1970s and 1980s, microhistory provided a revolutionary new perspective… its focus was not on what a specific person looked like at a particular moment… it could serve as a clue leading us to the ‘culture’ of a society, and its various linked systems” Sarah Maza, Thinking About History, p.303-307. ]: it attempts to study, against an art history context of object-and-space field, what possibilities the four participating artists can bring to the narrating images, objects, and spaces created with the visual tools of new technology. Each work exhibited can be seen as a medium with its own characteristics and historical temporality, and individual art histories can be seen as the trajectories of different visual presentations. This exhibition, interpenetrated with three perspectives —space correlation (空間關聯時態), hypermaterialities (超)物質性), visualizations and narrative (視覺化敘事)—depicts the influence that the four artists’ works may exert on the future of artistic exploration, and reflects the possibilities and opportunities brought by digital technology and virtual space to the research of art history.

Place, publisher, year, pages
Shenzhen, 2024.
Publication channel
Cloud Art Museum, Shenzhen, China
Keywords [en]
Artificial Intelligence, AI, Video Art
National Category
Visual Arts Artificial Intelligence
Research subject
Artistic research
Identifiers
URN: urn:nbn:se:umu:diva-234570OAI: oai:DiVA.org:umu-234570DiVA, id: diva2:1931033
Available from: 2025-01-24 Created: 2025-01-24 Last updated: 2025-02-21Bibliographically approved

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Shanken, Daniel

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf