Tanja Anna Wiehn

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Tanja Wiehn is a researcher in the field of critical data and algorithm studies. She currently holds a postdoctoral position in the project Don't take it personal, funded by DFF.

Previously, she was a research assistant at the Departement of Communication, teaching and supervising BA and MA students in digital media & culture, theory of science and design & mediation. 

In 2021, Wiehn received her PhD degree from the Department of Arts and Cultural Studies at Copenhagen University. Her PhD thesis Algorithmic Intimacies formulates a theoretical framework for a cultural study of algorithms. By proposing the concept of algorithmic intimacies, the dissertation investigates the ways in which machine learning algorithms become part and significantly impact on socio-political structures. The dissertation contributes to interdisciplinary ways for the study of algorithms.

Wiehn has an academic background in cultural and communications studies. For her MA, she studied at the European University Viadrina in Frankfurt (Oder) and at Malmö University. She holds a BA in cultural studies from University of Potsdam.

Tanja Wiehn is a member of the Digital Culture research group at the Department of Arts and Cultural Studies and affiliated with the Network Algorithmic Software Culture.

Research profile:

• Critical data and algorithm studies
• Synthetic data
• Digital culture
• Cultural studies
• Feminist epistemologies
• Platforms 
• Influencers

Teaching:

• Platformed Cultures: Influencers, Followers and Digital Media Production (BA & MA)
• Digital culture (BA)
• Theory of science (BA)
• Design and mediation (BA)
• Internship Course (BA & MA)