Data Loam - Sometimes Hard, Usually Soft
The artists and scientists of the Data Loam project, are investigating the past and future of knowledge
systems and postulating the urgent need to develop new forms of organization beyond the established categorizations and indexations. The
aim must be to liberate ourselves from traditional lexical and encyclopedic orders and dissolve the hierarchies and valuations
inscribed in them without creating new (and perhaps more profound) distortions. Instead of continuing to work towards a reductive
binary ontology, we want rather to examine information as a dynamic network of interacting particles and thus ultimately as
a form of matter in which the ambivalent, the undecidable and the ephemeral can also be integrated and depicted.
London: Johnny Golding, Mattia Paganelli
Vienna: Virgil Widrich
(project manager), Martin Reinhart, Leo Coster, Matthias Strohmaier, Marc Orou RIAT Vienna: Matthias Tarasiewicz, Andrew Newman
Barnaby Adams, Ajamu, Hans Bernhard, Barbara Böröcz, Jaya Klara Brekke, Alberto Condotta,
Leonard Coster, Juan Cruz, Johannes Frauenschuh, Maximilian Gallo, Amir George, Johnny Golding, Lauren Goode, Ivonne Gracia
Murillo, Anja Kirschner, Nora Lengyel, Monica C. LoCascio, Manu Luksch, Katarina Matiasek, Anna Nazo, Andrew Newman, Marc
Orou, Istem Özen, Mattia Paganelli, Julian Palacz, Despina Papadopoulos, Atte Penttinen, Martin Reinhart, Marthin Rozo, Aura
Satz, Marc Schuran, Emily Sparkes, Dario Srbic, Laura Stoll, Matthias Strohmaier, Mauricio Suarez, Matthias Tarasiewicz, Florian
Unterberger, Sophie-Carolin Wagner, Virgil Widrich, Despina Zacharopoulou, Jimmy Zurek.
Data Loam a PEEK project
in cooperation with the University of Applied Arts Vienna, the Royal College of Art in London, RIAT Vienna and the Master
Programme Art & Science. It is funded by the Austrian Science Fund (FWF).