Data Loam: Sometimes Hard, Usually Soft.

AIL-Exchange

Illustration: Julian Palacz.
Surveillance Studies 6035, 2014

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




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


Line-Up
„Data Loam“ line-up on Friday, March 1st 2019
15:00 - 18:30

15:00 - Martin Reinhart
University of Applied Arts
Introduction to the „Data Loam“ project

15:40 - Matthias Tarasiewicz
RIAT - Institute for Future Cryptoeconomics
Archives, Artefacts and Data Marketplaces of Post-Factual Data: Future Cryptoeconomics as Data Loam

16:30 - Mattia Paganelli
Royal College of Art, London
Beyond Doubt

17:20 - Leonard Coster
Actimoto GmbH
The algorithmic approach of the „Data Loam“ project


„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 Arts & Science. It is funded by the  Austrian Science Fund (FWF)
Data Loam

Events

Opening
25. February 2019 - 19:00
Duration
26. February 2019 - 08. March 2019
AIL, Franz Josefs Kai 3, 1010 Wien
Discussion
01. March 2019 - 15:00
Line-Up: Data Loam
01. March 2019 - 15:00

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