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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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Dahler-Larsen, A. M., Andersen, P. T. & Olesen, F. (2024). Arrangements of wash toilets and ageing bodies–an exploratory study: An explorative study. Disability and Rehabilitation: Assistive Technology, 19(3), 721-729. https://doi.org/10.1080/17483107.2022.2120640
Fumel, J., Bahuaud, D., Weed, E., Fusaroli, R. & Basirat, A. (2024). A Systematic Review and Bayesian Meta-Analysis of Acoustic Measures of Prosody in Parkinson's Disease. Journal of Speech, Language, and Hearing Research, 67(8), 2548-2564. https://doi.org/10.1044/2024_JSLHR-23-00588
Corrigan, G., Fusaroli, R., Weed, E., Fein, D. & Naigles, L. (2024). Autistic and neurotypical child-to-caregiver alignment in a cooperative task. Poster session presented at 16th Annual International Congress for the Study of Child Language, Prague, Czech Republic.
Hansen, S. M., Assent, I. & Schulz, H.-J. (2024). A Web Framework for Explainable and Malleable Visualisation. In K. Kucher, A. Diehl & C. Gillmann (Eds.), EuroVisPosters2024: Poster Proceedings of the 26th Eurographics Conference on Visualization The Eurographics Association. https://doi.org/10.2312/evp.20241080

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