As a reaction
to the dominant effect and interpretive authority of the digital, Data Loam combines radical approaches based on
positions taken in the international practice of contemporary art.
Previously: insistence on indexicality
and the instrumental reduction of knowledge. Instead: a new metric that requires play, curiosity, experiment, and risk. As
an urgent response to the continually growing flood of information that libraries, search engines, and cultural institutions
are exposed to, the authors develop approaches that suggest and permit sensual logic, causal permeability, and new forms of
man–machine interaction.
Data Loam focuses on the future of knowledge systems in texts
about artificial intelligence, cybernetics, and cryptoeconomics – as a means of counteracting end-of-the-world fears.
Johnny Golding, Royal College of Art, London
Martin Reinhart, Department
of Art and Science, University of Applied Arts Vienna
Mattia Paganelli, Royal College of Art, London
