Aarhus University Seal

DATALAB

  • Center for Digital Social Research

About DATALAB


DATALAB – Center for Digital Social Research is an interdisciplinary research center established in 2016 under the School of Communication and Culture at Aarhus University, Denmark. Led by Professor Anja Bechmann, the center conducts forefront research on algorithmic communication platforms and citizens, collectives, and populations in datafied societies. The center focuses on AI-powered platforms, associated socio-technical actors, patterns of agency and influence, and effects on communication flows. 

DATALAB hosts fundamental research projects that are theoretically based, empirically tested, and often including large-scale trace data. Our research has also contributed to informing decisions on policy and regulatory frameworks (e.g. in relation to platforms and AI). The projects at the center utilize a wide range of methods from computational social science often combining learning models with experiments, surveys, digital ethnography, and interviews.   

DATALAB researchers and projects share a vision and fundamental interest in creating novel methods and reinterpreting theories to better understand platforms and the modern techno-social fabric. Our projects provide novel knowledge on algorithmic and data-driven agency and societies with a particular sensitivity towards principles of democracy, human rights, and ethics.


Contact


Anja Bechmann

Center Director
anjabechmann@cc.au.dk
+45 5133 5138





Recent Publications


Sort by: Date | Author | Title

Tran, H. V., Zhang, Z., Pham, T. D., Doan, N. P., Hoang, A.-T., Li, P., Vandierendonck, H., Assent, I. & Mai, T. S. (2025). InteDisUX: intepretation-guided discriminative user-centric explanation for time series. Proceedings of the AAAI Conference on Artificial Intelligence, 39(20), 20921-20928. https://doi.org/10.1609/aaai.v39i20.35387
Lunding, R. S., Feuchtner, T. & Grønbæk, K. (2025). Investigating AR Assistance for Human-Robot Collaboration in Mould Assembly 'in the Wild'. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction (pp. 540-549). IEEE. https://doi.org/10.1109/HRI61500.2025.10973920
Rolighed, M. L. & Hansen, L. K. (2025). Invitation to an Under-ground Party: Designing for extending human sensibilities into the soil of their plants. In Conference Proceedings: Computing X Crisis - 6th Decennial Aarhus Conference, AAR Adjunct 2025 Article 2 Association for Computing Machinery. https://doi.org/10.1145/3737609.3747107
de Soto, P., Pažout, A., Brughmans, T., Vahlstrup, P. B., Auir, Á., Bongers, T., Christoffersen, J. E. B., Crépy, M., Johansen, M. H., Lewis, J., Manière, L., Massa, M. R., Møller, L. M. H., Redon, B., Renda, G., Şahin, H., Sobotková, A., Spatzek, A. L., Verhagen, P. & Weissova, B. (2025). Itiner-e: A high-resolution dataset of roads of the Roman Empire. Scientific Data, 12(1), Article 1731. https://doi.org/10.1038/s41597-025-06140-z

Latest activities



Latest Media Apperances