The researchers within Computational Social Sciences are analyzing social media and other data to extend the knowledge about the drivers of human behavior and the most common patterns of interaction.
In the research, they are conducting online experiments and experiments based on mobile apps. They are also building social simulation models based on empirical data (e.g. deriving from the activities above).
The research group is open to work with external partners. Computational social science research is often used, for instance, as a support for policy making or to help the governance of large organizations.
Computational Social Sciences is an application area within the Linnæus University Centre of Excellence (LNUC) for Data Intensive Sciences and Applications.
At DISA, we encourage and support seed projects. Seed projects are intended to promote and nurture excellence research, development and innovation within data intensive sciences and applications with cross-discipline collaboration.
Seed projects at Computational Social Sciences
Project: Modelling institutional dynamics in historical commons (MIDI) The MIDI project adopts an interdisciplinary perspective to contribute empirically-grounded and systematic knowledge of the mechan…
Project: One-stop-shop business model for energy renovation of detached houses The goal of this study is to develop, implement and test a one-stop-shop business model for energy renovation of detached …
- Online experiments on collective action problems in climate change mitigation
- Simulation of resource-scarcity-driven conflicts
- ESF-COST action TD1306: New Frontiers of Peer Review (PEERE)
- Annelie Ekelin Senior lecturer
- Elizaveta Kopacheva Doctoral student
- Giangiacomo Bravo Professor
- Karl Loxbo Associate Professor
- Magnus Hagevi Professor
- Staffan Andersson Associate Professor