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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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Dale, R., Fusaroli, R., Duran, N. & Richardson, D. (2013). The Self-Organization of Human Interaction. Psychology of Learning and Motivation, 59, 43-95. https://doi.org/10.1016/B978-0-12-407187-2.00002-2
Andersen, M. S., Kjærgaard, M. B. & Grønbæk, K. (2013). The SITA principle for Location Privacy: Conceptual model and architecture . In 2013 International Conference on Privacy and Security in Mobile Systems (PRISMS) (pp. 1 - 8 ). IEEE. https://doi.org/10.1109/PRISMS.2013.6927184
Andersen, M. S., Kjærgaard, M. B. & Grønbæk, K. (2013). The SITA principle for Location Privacy – Conceptual Model and Architecture. Paper presented at International Conference on Privacy and Security in Mobile Systems, Atlantic City, NJ, United States.
Kjærgaard, M. B., Blunck, H., Wüstenberg, M., Grønbæk, K., Wirz, M., Roggen, D. & Tröster, G. (2013). Time-lag Method for Detecting Following and Leadership Behavior of Pedestrians from Mobile Sensing Data. In IEEE International Conference on Pervasive Computing and Communications (PerCom), 2013 (pp. 56 - 64 ). IEEE. https://doi.org/10.1109/PerCom.2013.6526714

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