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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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Meyer, A., Aaløkke, S. B. & Albrechtslund, A. (2025). Tinkering with Time and Technologies in Dementia Care. In V. Peacock, M. K. Bruun, C. Dungey & M. Shapiro (Eds.), Rhythm and Vigilance: Ethnographies of Surveillance and Time (pp. 61-82). Bristol University Press. https://doi.org/10.51952/9781529246544.ch003
Singh, P., Haq, A. U. & Presser, M. (2025). Towards a Responsible AI Adoption/Adaptation (RAA) Ecosystem: Vision and Model to Keep Socio-Technological Balance. In M. Presser, A. Skarmeta & S. Krco (Eds.), Global Internet of Things and Edge Computing Summit 2025 : Second International Summit, GIECS 2025, Madrid, Spain, September 22, 2025, Proceedings (pp. 71-92). Springer. https://doi.org/10.1007/978-3-032-09555-8_5
Moradan, A., Sorkhpar, M., Miyauchi, A., Mottin, D. & Assent, I. (2025). Untapping the Power of Indirect Relationships in Entity Summarization. In WSDM 2025 : Proceedings of the 18th ACM International Conference on Web Search and Data Mining (pp. 820-828). Association for Computing Machinery. https://doi.org/10.1145/3701551.3703566

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