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Exhibition View: Data Loam. Sometimes Hard, Usually Sof

Research Presentation from 2019

Exploration of past and future knowledge systems

exhibition view | Image by ©
exhibition view | Image by ©
exhibition view | Image by ©
exhibition view | Image by ©
exhibition view | Image by ©

Artists and scientists from the Data Loam Project explore past and future knowledge systems and underline the urgent need of new forms of organization beyond standardized categorization and indexation.

We need to overcome traditional lexical and encyclopedic methods of organization and break with their intrinsic hierarchies and value judgments, without creating new and possibly more serious impediments.

Instead of consistently working towards the short-hand of a binary ontology, we should think of information as a dynamic network of interacting particles and regard it in terms of a materiality that comprises ambivalent, undecidable and ephemeral elements.

Contribuitons:
Barnaby Adams, Ajamu, Hans Bernhard, Barbara Böröcz, Jaya Klara Brekke, Alberto Condott, Leonard Coster, Juan Cruz, DARC, Johannes Frauenschuh, Maximilian Gallo, Johnny Golding, Ivonne Gracia Murillo, Nora Lengyel, Monica C. LoCascio, Manu Luksch, Anna Nazo, Istem Özen, Mattia Paganelli, Julian Palacz, RIAT, Martin Reinhart, Henry Rogers, Marthin Rozo, Aura Satz, Marc Schuran, Laura Stoll, Matthias Strohmaier, Mauricio Suarez, Matthias Tarasiewicz, Florian Unterberger, Sophie-Carolin Wagner, Virgil Widrich, Despina Zacharopoulou, Jimmy Zurek

Supported by: AIL, Angewandte, FWF, Royal College of Art, RIAT

Photos: Ulrich Dertschei