400002 FK Computational Social Sciences and the use of AI in empirical research (2025W)
Forschungskolloquium
Prüfungsimmanente Lehrveranstaltung
Labels
VOR-ORT
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 01.09.2025 09:00 bis Di 23.09.2025 23:59
- Abmeldung bis Mi 15.10.2025 09:00
Details
max. 15 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 16.10. 09:45 - 13:00 Seminarraum 15, Kolingasse 14-16, OG01
- Donnerstag 30.10. 09:45 - 13:00 Seminarraum 15, Kolingasse 14-16, OG01
- N Donnerstag 13.11. 09:45 - 13:00 Seminarraum 15, Kolingasse 14-16, OG01
- Donnerstag 27.11. 09:45 - 13:00 Seminarraum 15, Kolingasse 14-16, OG01
- Donnerstag 11.12. 09:45 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Donnerstag 15.01. 09:45 - 13:00 Seminarraum 15, Kolingasse 14-16, OG01
- Donnerstag 22.01. 09:45 - 13:00 Seminarraum 6, Kolingasse 14-16, EG00
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Oral 25%, Written 75%
Mindestanforderungen und Beurteilungsmaßstab
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%).
Prüfungsstoff
NA
Literatur
tba
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 22.09.2025 09:47