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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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Micenková, B., Ng, R. T., Dang, X.-H. & Assent, I. (2013). Explaining outliers by subspace separability. In H. Xiong, G. Karypis, B. Thuraisingham, D. Cook & X. Wu (Eds.), Proceedings, IEEE 13th International Conference on Data Mining (ICDM 2013) (pp. 518 - 527 ). IEEE Press. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6724379
Nielsen, M., Kjærgaard, M. B. & Grønbæk, K. (2013). Exploring Interaction Techniques and Task Types for Direct-Touch as Input Modality. Poster session presented at VAST Infovis Scivis, Atlanta, Georgia, United States.
Sonne, T. & Grønbæk, K. (2013). Exploring New Potentials in Preventing Unhealthy Computer Habits. In W. E. Mackay, S. Brewster & S. Bødker (Eds.), CHI '13 Extended Abstracts on Human Factors in Computing Systems, CHI EA '13 (pp. 487-492 ). Association for Computing Machinery. https://doi.org/10.1145/2468356.2468442
Jensen, M. M., Rasmussen, M. & Grønbæk, K. (2013). Exploring Opponent Formats: Game Mechanics for Computer-Supported Physical Games. In J. C. Anacleto, E. W. G. Clua, F. S. Correa da Silva, S. Fels & H. S. Yang (Eds.), Entertainment Computing - ICEC 2013: 12th International Conference, ICEC 2013, São Paulo, Brazil, October 16-18, 2013. Proceedings (Vol. 8215, pp. 48-60). Springer VS. https://doi.org/10.1007/978-3-642-41106-9_6

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