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.
- New
approaches to AI, cybernetics, and cryptoeconomics in the context of contemporary art
- Alternative models
of data mining, indexing, correlation
- The significance of knowledge in the 21st century as an expression
of sense/sensuality, experiment, risk
AUTHOR INFORMATION
Johnny
Golding, Royal College of Art, London
Martin Reinhart, filmmaker, Vienna
Mattia
Paganelli, Royal College of Art, London
