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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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Nielsen, M., Elmqvist, N. & Grønbæk, K. (2016). Scribble query: fluid touch brushing for multivariate data visualization. In C. Parker (Ed.), Proceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016 (pp. 381-390). Association for Computing Machinery. https://doi.org/10.1145/3010915.3010951
Tomlein, M. & Grønbæk, K. (2016). Semantic Model of Variability and Capabilities of IoT Applications for Embedded Software Ecosystems. In Proceedings - 2016 13th Working IEEE/IFIP Conference on Software Architecture, WICSA 2016 (pp. 247-252). Article 7516835 IEEE Press. https://doi.org/10.1109/WICSA.2016.17
Nielsen, M., Brewer, R. S. & Grønbæk, K. (2016). Supporting interactive visual analytics of energy behavior in buildings through affine visualizations. In C. Parker (Ed.), Proceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016 (pp. 238-247). Association for Computing Machinery. https://doi.org/10.1145/3010915.3010950
Mitkidis, P., Ayal, S., Shalvi, S., Heimann, K., Levy, G., Kyselo, M., Wallot, S., Ariely, D. & Roepstorff, A. (2016). The Psychological Effects of Extreme Rituals on Moral Behavior. Abstract from SABE/IAREP Conference 2016, Wageningen, Netherlands. http://www.wur.nl/upload_mm/1/8/3/6f122c43-49dd-47fd-9cc1-390abcedeb8d_Book%20of%20abstracts.pdf

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