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400002 FK Computational Social Sciences and the use of AI in empirical research (2025W)
Research colloquium
Continuous assessment of course work
Labels
ON-SITE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 01.09.2025 09:00 to Tu 23.09.2025 23:59
- Deregistration possible until We 15.10.2025 09:00
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 16.10. 09:45 - 13:00 Seminarraum 15, Kolingasse 14-16, OG01
- Thursday 30.10. 09:45 - 13:00 Seminarraum 15, Kolingasse 14-16, OG01
- Thursday 13.11. 09:45 - 13:00 Seminarraum 15, Kolingasse 14-16, OG01
- Thursday 27.11. 09:45 - 13:00 Seminarraum 15, Kolingasse 14-16, OG01
- Thursday 11.12. 09:45 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 15.01. 09:45 - 13:00 Seminarraum 15, Kolingasse 14-16, OG01
- Thursday 22.01. 09:45 - 13:00 Seminarraum 6, Kolingasse 14-16, EG00
Information
Aims, contents and method of the course
The Research Workshop Computational Social Sciences and the Use of AI in Empirical Research is for those who have already collected empirical materials (or are close to collecting such materials) and are interested in applying Computational and/or AI based methodologies (incl. generative AI) for the analysis of such materials. The workshop sets out by providing an overview of the state-of-the-art. We then discuss and critically reflect on the appropriateness of different methodologies and the limitations with regards to the different research interests and materials and provide guidance as to the actual implementation. Quality criteria such as validity or reproducibility are then discussed with regards to computational and AI based methods, and we will reflect on and design procedures to ensure high quality of the different research outputs. The Research Workshop will use an interactive approach and strongly rely on inputs from students and peer feedback. After completion, participants should have either a clear pathway towards their analytical strategies or have obtained thorough feedback on applied methodologies.
Assessment and permitted materials
Oral 25%, Written 75%
Minimum requirements and assessment criteria
Active participation (10%); Presentation of research aim, empirical materials and initial analysis strategy (15%), Two rounds of peer feedback (25%), Final paper with analysis strategy, procedures to meet quality criteria and critical reflection (50%).
Examination topics
NA
Reading list
tba
Association in the course directory
Last modified: Mo 22.09.2025 09:47