معرفی
Prof. Dr. Bernhard Dotzler serves as Professor of Media Studies at the Institute for Information and Media, Language and Culture (I:IMSK) within the Faculty of Languages, Literature and Cultural Studies at the University of Regensburg since 2004. His academic journey includes significant appointments as Charlotte M. Craig Distinguished Visiting Professor at Rutgers University (2018) and Visiting Kade Professor at UC Santa Barbara (2010). Previously, he held research leadership positions at Berlin's Center for Literary Research and the University of Cologne's Cultural Studies Research Center.
Dotzler's research spans IT History, Archaeology of Media Theory, and Media and Science History, with notable contributions to understanding computational culture through historical and philosophical lenses. His work frequently bridges literary studies with media theory, examining how technological developments reshape cultural and scientific paradigms. Recent publications explore AI's cultural implications, digital humanities methodologies, and advertising's evolving role in media ecosystems.
His prolific scholarship demonstrates consistent engagement with Michel Foucault's theories, cybernetics history, and media archaeology. Dotzler's publications reveal evolving research trajectories from early work on computer culture to contemporary investigations of AI and digital platforms, maintaining critical perspectives on technological determinism while exploring media's constitutive role in knowledge production.
- Charlotte M. Craig Distinguished Visiting Professor (Rutgers University, 2018)
- Visiting Kade Professor (UC Santa Barbara, 2010)
Dotzler leads the Regensburg Advertising Research Consortium (RVW), publishing annual thematic volumes on advertising phenomena. His collaborative projects with institutions like the Max Planck Society demonstrate interdisciplinary reach across media studies, computer science, and cultural history. Current work focuses on AI's cultural dimensions, particularly examining ChatGPT and large language models through historical media theory frameworks.
