In the Computational Social Science Lab, we combine computational methods with theories and questions from the social sciences. We bring together students, researchers, and collaborators who are curious about the intersection of data, algorithms, and society and somehow want to understand and make things better.
[#] How we work
We work with an interdisciplinary range of tools and methods, in particular:
- [*] Controlled experiments to uncover causal mechanisms
- [*] Large-scale data analyses for field studies and system audits
- [*] Mixed-methods inquiry for a deeper interpretation of what's going on
- [*] Interactive prototypes to explore future interaction possibilities
[?] Projects & topics
- [~] Can people detect AI-generated language?
- [~] How does perceived AI authorship affect interactions?
- [~] Do algorithms influence politics and social trust?
- [~] How do algorithmic tools change political debates?
- [~] What role can digital technologies play in the climate crisis?
By diagnosing emerging problems and working towards early solutions, we contribute to a safer and more democratic information ecosystem.
[=] Teaching
Our courses connect hands-on data analysis, social science methods, and critical reflection:
- [>] Measuring Society: Quantitative Methods
- [>] Research Seminar: AI & Society Research
- [>] Transfer Project: Digital Ventures Lab
[+] Work with us
We welcome students & collaborators who are passionate about understanding and shaping the societal impact of digital technologies. Whether through research projects, thesis work, or joint initiatives, we are always looking for curious minds ready to explore the future of human–technology interaction.
Visit us on csslab.net or send an email to maurice.jakesch[at]uni-weimar.de.