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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


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Kjærgaard, M. B., Blunck, H., Godsk, T., Toftkjær, T., Christensen, D. L. & Grønbæk, K. (2010). Demonstrating Tools and Results of a Measurement Campaign for Indoor GPS Positioning. Poster session presented at The Eight International Conference on Pervasive Computing, Helsinki, Finland.
Olesen, F. (2010). Den forstærkede patient: Om patientbegreber og empowerment. In U. Juul Jensen, M. Nissen & K. Thorgaard (Eds.), Viden, virkning og virke: Forslag til forståelser i sundhedspraksis (pp. 307-332). Roskilde Universitetsforlag.
Rico, J., Jacucci, G., Reeves, S., Hansen, L. K. & Brewster, S. (2010). Designing for performative interactions in public spaces. In Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing (pp. 519-522). ACM-SIAM. https://doi.org/10.1145/1864431.1864503
Assent, I., Kranen, P., Baldauf, C. & Seidl, T. (2010). Detecting Outliers on Arbitrary Data Streams using Anytime Approaches. In International Workshop on Novel Data Stream Pattern Mining Techniques (StreamKDD 2010) in conjunction with 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA (2010) https://doi.org/10.1145/1833280.1833282

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