Digital culture
The Digital Culture Research Cluster advances research that explores the interactions between cultural dynamics and socio-technical infrastructures. The interdisciplinary work happening within DC ranges from cultural theory and studies (encompassing literature, performance, musicology, sound studies, and art history) to digital humanities, anthropology, Science and Technology Studies (STS), media and communication studies, information studies and critical data, ML and AI studies.
The group conducts research on a wide range of subjects related to digital culture in a broad sense. These include digital cultural heritage, digital art, digital literature, digital cultural politics, digital labour, social media, big data, artificial intelligence, machine learning, remixing, censorship, surveillance, privacy, smart cities, digital archives, databases, sound, curation, data practices, data politics, data subjectivities, computational aesthetics, computer and machine vision, neural networks, algorithmic curating and decision making, technologies of control, data reuse, data ethics, and everyday cultural practices and infrastructures.
The group applies an array of mostly qualitative but also quantitative methods inspired by digital humanities and social sciences. These include:
Sensory ethnography, netnography, social network analysis, qualitative and quantitative content analysis, discourse analysis, document analysis, platform analysis, cultural analysis, aesthetic analysis, observations, data visualisation, visual methods, computational analysis, social data science, interviews, focus groups, walkthrough methods, art- and practice based methodologies, film and sound methodologies, and institutional analysis.
Critical data, algorithm and AI studies
The research cluster examines the production, distribution and reception of data, models and machine learning technologies, with a particular sensitivity to gendered, racialized, colonial and class-based dimensions of computational regimes, among other things through the Critical Data and Machine Learning Lecture Series organized by AI REUSE and DALOSS.
Digital art & aesthetics
The cluster investigates the cultural roles, emergences, and imaginaries of digital art and artistic research practices, including new media art, music and sound art, video games, expanded reality and virtual worldmaking. Current projects investigate the aesthetic and creative implications of algorithmic behaviours and cultures, genre and the authenticity of data and digital objects.
Everyday use of technology
The research cluster examines the ways in which digital technologies are ingrained in everyday lives – as habits, as mundane practices, as addictions, as algorithmic anticipations that affect the way humans relate, sense and engage with each other (intimacies and communities) as well as their environments (homes, cities, landscapes).
Digital infrastructures
The research cluster investigates the complex interplay between digital infrastructures and forms of materiality in the digital age. A focus of the research cluster lies in the acceleration of platformised distribution and consumption, and the geopolitical potential of digital mediators as well as their relation to the materiality of infrastructures.
Digitalization and platformization of cultural production, industries and institutions
Digitalization of cultural production and institutions impact on a range of economic, political, and aesthetic aspects. Current research projects in the cluster focus on the ways in which forms of digitalization facilitate new socio-cultural practices and cultural imaginaries. Furthermore research projects in the cluster investigate how cultural industries and cultural-economic models shift due to the influence of digitalization, and how digital platforms shape and reconfigure cultural, political and socio-economic landscapes.
Projects
- Algorithms in Art: Displacements with Algorithmic Culture in Danish Art since 1990
- Data loss (DALOSS): the politics of disappearance, destruction and dispossession in digital societies
- Don’t Take It Personal: Information and Privacy in the Algorithmic Age
- Follow Me: The Influence of Danish Digital Media Creators
- HomeCTRL
- The platformisation of culture: Cultural policy, art museums and digital communities in the age of tech giants (in Danish)
- Uncertain Archives
Networks
Researchers
Internal
| Name | Title | Phone | |
|---|---|---|---|
| Ag, Tanya Ravn | Assistant Professor | +4535321265 | |
| Eigtved, Michael | Associate Professor | +4535331486 | |
| Ekman, Ulrik | Associate Professor | +4535329278 | |
| Meleschko, Sara Kepinska | PhD Fellow | ||
| Michelsen, Anders Ib | Associate Professor | +4527584257 | |
| Raasted, Kristoffer | PhD Fellow | +4525473200 | |
| Skovmøller, Amalie | Assistant Professor - Tenure Track | +4535325749 | |
| Thylstrup, Nanna Bonde | Associate Professor - Promotion Programme | +4535334024 | |
| Valtýsson, Bjarki | Associate Professor - Promotion Programme | +4535328237 | |
| Veel, Kristin | Associate Professor - Promotion Programme | +4520404914 | |
| Wellendorf, Kassandra Charlotte | Teaching Associate Professor | +4528197656 | |
| Wiehn, Tanja Anna | Postdoc | +4535321262 |
External
Daniela Agostinho, assistant professor (Aarhus University)
Tanja Wiehn, research assistant (Department of Communication UCPH)
Jack Andersen, associate professor (Department of Communication, UCPH)
Karen Louise Grova Søilen, (Department of Communication, UCPH)
Pepita Hesselberth, university lecturer (Leiden University)
Nanna Bonde Thylstrup, associate professor (CBS)
Ekaterina Kalinina, postdoc (Södertörn University)
Johan Lau Munkholm, PhD student (Department of Communication, UCPH)
Eva Pina Myrczik, postdoc (Department of Communication, UCPH)
Melanie Diane Feinberg, associate professor (UNC School of Information and Library Science)
Morten Søndergaard, associate professor (Aalborg University)
Katrine Dirckinck-Holmfeld
Sille Obelitz Søe, assistant professor (Department of Communication, UCPH)
Seyda Bagdogan, PHD student (CBS)