Andreas Sudmann

How is Artificial Intelligence Changing Science?

Research in the Era of Learning Algorithms

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PD Dr. Andreas Sudmann

Applicant, Planning Grant

Media Studies
Main Research Area: History and Medial Infrastructures of Artificial Intelligence, Digital Culture, Aesthetics and Politics of Visual Media

Center for International and Transnational Area Studies (CITAS)
University of Regensburg

Universitätsstraße 31
93053 Regensburg
Germany

Tel: +49 151 23 011 799
Mail: Andreas.Sudmann@sprachlit.uni-regensburg.de

Education

  • 2016: Habilitation at Ruhr-University Bochum (Media Studies)
  • 2005: Dissertation, Georg August University Göttingen (Media and Communication Studies)
  • 2000: Diploma, Hannover University (Social Sciences)

Research Experience

  • Since 2020: Professor for Spaces of Virtual Communication at University of Regensburg (Acting Professor)
  • Since 2020: Coordinator of the Research Project „How is AI Changing Science“
  • Since 2019: Director of the Project „Media and Infrastructures of Artificial Intelligence. Computer Vision, Transfer Learning, and Artificial Neural Networks as Black Box“., funded by the German Research Foundation (This project is currently on hold and will continue soon)
  • 2019: Fellowship, International Research Center for Cultural Studies, University of Art and Design Linz
  • 2018/19: Visiting Professor in Media Studies, Philipps University Marburg
  • Since 2017: Privatdozent (Adjunct Professor) at Institute for Media Studies in Bochum
  • 2017: Fellowship, Center for Advanced Internet Studies (CAIS), Ruhr-University Bochum
  • 2016: Fellowship, Spaces of Anthropological Knowledge, Ruhr-University Bochum
  • 2013–2016: Post-Doc, Project „Digital Seriality: The Serial Aesthetics and Practice of Digital Games“, John F. Kennedy Institute, Free University, Berlin
  • 2004–2013: Assistant Professor (Wiss. Mitarbeiter) at Georg-August University Göttingen and University of Regensburg (2009–2010)

Relevant Publications

  • Sudmann, A. (2015). Deep Learning als dokumentarische Praxis. Sprache Und Literatur, 46(1–2), 155–170.
  • Sudmann, A. (2019a). On the Media-Political Dimension of Artificial Intelligence. Deep Learning as a Black Box and OpenAI. In A. Sudmann (Ed.), The Democratization of Artificial Intelligence. Net Politics in the Era of Learning Algorithms (pp. 223–244). transcript. https://doi.org/10.25969/mediarep/13536
  • Sudmann, A. (2019b, February 8). KI-Phantasien: Kommt jetzt der Terminator mit Pinsel. CCB Magazin. https://www.creative-city-berlin.de/de/ccb-magazin/2019/2/8/andreas-sudmann-ki-forschung
  • Sudmann, A. (2020). Künstliche neuronale Netzwerke als Black Box. In P. Klimczak, C. Petersen, & S. Schilling (Eds.), Maschinen der Kommunikation: Interdisziplinäre Perspektiven auf Technik und Gesellschaft im digitalen Zeitalter (pp. 189–199). Springer Fachmedien. https://doi.org/10.1007/978-3-658-27852-6_10
  • Sudmann, A., & Engemann, C. (2018). Zur Einführung. Medien, Infrastrukturen und Technologien des maschinellen Lernens. Transcript.
  • Sudmann, A., Ernst, C., Schröter, J., & Kaldrack, I. (Eds.) (2019). Künstliche Intelligenzen. Zeitschrift Für Medienwissenschaft, 21.