Dust and Data
Dust and Data explores the role of curators in the age of Artificial Intelligence (AI), an age in which computers not only gain an understanding of the meaning of artworks, but become creative themselves.
Photo: Christoph Panzer
Digital copies of existing artworks are already standard practice; but the ability of computers to comprehend, analyze, and catalog these copies and sort thousands of works into meaningful contexts has yet to be integrated into curatorial work.
Dust and Data searches for curatorial, architectural, and digital paths across museum collections, always guided by the premise of restoring physical form to the results. The two-year artistic research project seeks to explore the curatorial potential of AI by using the Belvedere's Online Collection and other museum collections as examples: the goal is to calculate semantic paths through the Belvedere's art collection and thus enable co-curation between humans and machines.
Cooperative project with the Academy of Fine Arts Vienna, the Institute of Computational Perception at JKU Linz, and Koerdtutech
Funding body
Austrian Science Fund (FWF), Program PEEK (FWF AR 532)
Duration
July 2019 – June 2021
Project managment
Nikolaus Wahl Nikolaus Wahl (Academy of Fine Arts)
Project partner
(Institute of Computational Perception, Johannes Kepler University Linz)
Project team
Irina Koerdt, Alexander Martos, Sanja Utech (Academy of Fine Arts)
Cooperative partners at the Belvedere
Christian Huemer, Johanna Aufreiter (Research Center)
Links
Inhalt 3
Inhalt 4