Data and Technics

Workshop, 24.–25.04.2014, Leuphana University of Lüneburg
Organized by: Scott Lash, Yuk Hui, Götz Bachmann, Paul Feigelfeld

With: Francesca Bria, Elena Esposito, Bernard Geoghegan, Scott Lash, Maurizio Lazzarato, Thomas Macho, Bernard Stiegler

Workshop Program

24 April 
13:15 – 14:00 Welcome, Concept Note
Yuk Hui, Scott Lash, Götz Bachmann

14:00 – 16:00 Panel 1: Data Infrastructures
Data, as a cycle of the given, facts and machine mediated information, is fuelled by a rapid development of infrastructures. In social media, for example, users materialize thoughts, monologues, conversations and friendships. Mobile phones, digital cameras, RFID systems and sensors detect, record and transmit data, based on software infrastructures. Algorithms in Google’s and Facebook’s server farms harvest data with exactitude and granularity. How can we understand these infrastructures? What is the infra-, and what is the -structure?

Bernard Stiegler
Florian Sprenger
Responses: Erich Hörl

16:30 – 18.30 Panel 2: Data Temporality
Data is memory. As Plato famously wrote, storage is also forgetting. At stake is a third term, too: Imagination. Imagination is a form of protention, supplementing by different forms of retentions, and it can lead us into. What consequences does this excess of memory and forgetting, of protention and retention, and of imagination and synthesis lead us into?

Elena Esposito
Thomas Macho
Responses: Markus Burkhardt

25 April (Friday)
11:00 – 13:00 Panel 3: Technics
If we follow the concept of technics into our times, we need to abandon the reduction of technics to instrumental reasons in Aristotle’s tripartite scheme. We need to place technics within an understanding of data. At the same time, data as seen from a perspective of technics would have to focus on the processes of bringing something forth to presence, moving beyond notions of taxonomies and schemas.

Scott Lash
Bernard Geoghegan
Responses: Christina Vagt

14:00 - 16:00 Panel 4: Data Politics
As data is rapidly becoming one of our most precious commodities, new forms of properties and value arise. How can we analyse our data-driven political economy? At the same time, governmentality becomes computer aided-data processing, and power takes algorithmic form. “Open data” promises alternatives, but might well produce “open washing”. What kind of redistribution of power is desirable?

Maurizio Lazzarato
Francesca Bria
Responses: Armin Beverungen