Project Details
Description
Research Cluster Leadership
Datafication, platformisation, and digitalization are significantly reshaping contemporary societies and cultures, giving rise to novel cultural expressions, social practices, cultural industries, and material infrastructures.
The Digital Culture Research Cluster is dedicated to advancing research that explores the interactions between cultural dynamics and socio-technical infrastructures. The interdisciplinary nature of the work happening within DC spans across cultural theory and studies (encompassing literature, performance, musicology, sound studies, and art history), anthropology, Science and Technology Studies (STS), media and communication studies, information studies as well as critical studies in data and machine learning.
Methodologically, the cluster employs a diverse range of established qualitative and quantitative research methods, including ethnography, archival techniques, and cultural and visual analysis. Additionally, it explores emerging digital and experimental methodologies such as machine learning, digital forensics, and artistic research practices.
Organizationally, the cluster supports various research activities, including informal monthly lunch meetings, internal and external seminars, research excursions, peer-feedback sessions, and networking opportunities with other relevant research communities.
Datafication, platformisation, and digitalization are significantly reshaping contemporary societies and cultures, giving rise to novel cultural expressions, social practices, cultural industries, and material infrastructures.
The Digital Culture Research Cluster is dedicated to advancing research that explores the interactions between cultural dynamics and socio-technical infrastructures. The interdisciplinary nature of the work happening within DC spans across cultural theory and studies (encompassing literature, performance, musicology, sound studies, and art history), anthropology, Science and Technology Studies (STS), media and communication studies, information studies as well as critical studies in data and machine learning.
Methodologically, the cluster employs a diverse range of established qualitative and quantitative research methods, including ethnography, archival techniques, and cultural and visual analysis. Additionally, it explores emerging digital and experimental methodologies such as machine learning, digital forensics, and artistic research practices.
Organizationally, the cluster supports various research activities, including informal monthly lunch meetings, internal and external seminars, research excursions, peer-feedback sessions, and networking opportunities with other relevant research communities.
| Short title | Research Group |
|---|---|
| Status | Finished |
| Effective start/end date | 01/01/2024 → 31/08/2024 |