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.

John Craig Freeman, Virtual U.S./Mexico Border (2017), Augmented Reality – Art Walk in juxtaposition with Eric Corriel, Water will be Here (2010), in front of Stavanger Maritime Museum during Screen City Biennial 2017. Photo by Oddbjørn Erland Aarstad.

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. 










Name Title Phone E-mail
Ag, Tanya Ravn Assistant Professor +4535321265 E-mail
Eigtved, Michael Associate Professor +4535331486 E-mail
Ekman, Ulrik Associate Professor +4535329278 E-mail
Meleschko, Sara Kepinska PhD Fellow   E-mail
Michelsen, Anders Ib Associate Professor +4527584257 E-mail
Raasted, Kristoffer PhD Fellow +4525473200 E-mail
Skovmøller, Amalie Assistant Professor - Tenure Track +4535325749 E-mail
Thylstrup, Nanna Bonde Associate Professor - Promotion Programme +4535334024 E-mail
Valtýsson, Bjarki Associate Professor - Promotion Programme +4535328237 E-mail
Veel, Kristin Associate Professor - Promotion Programme +4520404914 E-mail
Wellendorf, Kassandra Charlotte Teaching Associate Professor +4528197656 E-mail
Wiehn, Tanja Anna Postdoc +4535321262 E-mail


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)