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Clemens Apprich works across the fields of new media studies, media theory, cultural studies, and political philosophy, with a special interest in practices and formations that have emerged in the last three decades through the engagement with digital media technologies. Currently his focus lies on the epistemological, social and technical analysis of filtering algorithms, asking how they are organising digital cultures, what role they play in the transformation of democratic societies, and to what extent they can be explained by the latest push in computation, in particular in automated data analysis and machine learning. Together with Wendy Chun, Hito Steyerl, and Florian Cramer he has co-writen a book on “Pattern Discrimination”, which investigates the centrality of race, class, gender and sexuality to big data network analytics and bridges research fields in the arts, humanities, and data sciences.

Apprich’s research is embedded in the emerging field of critical data studies, as well as a wide range of transdisciplinary activities and international networks. During his postdoctoral research fellowship at the Global Emergent Media Lab at Mel Hoppenheim School of Cinema, he is examining the reciprocity between paranoia and media in order to understand its effects for a participatory public sphere. In accordance with his previous research engagement with critical net cultures, he wants to employ the rich discourse around paranoia, ranging from the history of psychiatry, to film and literature studies, to media theory, in order to explore the ‘sub-medial spaces’ which are all too often excluded from our analysis of cultural, social and political practices in relation to digital technologies. For him, paranoia as a research method can offer ways to better understand the socio-technical implications of media technological developments, in particular in relation to the emergence of big data analysis and machine learning.


Education

  • MA in Philosophy (University of Vienna)
  • MA in Political Science (University of Vienna)
  • PhD in Cultural Theory and History (Humboldt University of Berlin)

Areas of Interest

new media theory, digital cultures, European net cultures, net critique, psychoanalysis, paranoiac knowledge, machine learning, filtering systems.

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