| Dozent/in |
Dr. Jonathan Bright |
| Veranstaltungsart |
Masterseminar |
| Code |
HS261619 |
| Semester |
Herbstsemester 2026 |
| Durchführender Fachbereich |
Politikwissenschaft |
| Studienstufe |
Master |
| Termin/e |
Di, 15.09.2026, 14:15 - 16:00 Uhr, Online
Di, 13.10.2026, 14:15 - 18:00 Uhr, Online
Di, 20.10.2026, 14:15 - 18:00 Uhr, Online
Di, 03.11.2026, 14:15 - 18:00 Uhr, Online
Di, 10.11.2026, 14:15 - 18:00 Uhr, Online
Di, 17.11.2026, 14:15 - 18:00 Uhr, Online
Di, 24.11.2026, 14:15 - 18:00 Uhr, Online
Di, 01.12.2026, 14:15 - 16:00 Uhr, Online |
| Umfang |
2 Semesterwochenstunden |
| Turnus |
Blockveranstaltung |
| Inhalt |
This theory and literature driven course will look at the wide variety of ways in which computational social science has been applied in the social sciences, from testing long standing theories about the nature of social life and interpersonal relationships to the development of entirely new ways of conducting the social sciences themselves. Students will be required to engage with a wide range of reading material for the course, and familiarise themselves with a considerable body of both theoretical and methodological literature. Computational social science is a discipline tied together by a methods focus, hence in each week we will look at a family of methodological approaches, for example social media trace data collection, network science, agent based modelling or machine learning, and review key elements of each technique. However we will use this as a jumping off point to also discuss key bodies of theory, and look at how leading scientists in the discipline have engaged with data driven theory testing. In so doing, we will also try and tease out broader reflections on the future of the social sciences as a whole in an era where science seems increasingly likely to be driven by agentic artificial intelligence.
Students will be assessed through their active participation in the class and in particular through the preparation and delivery of a presentation on a subject of their choice which is related to the overall themes of the class.
|
| Lernziele |
- A general familiarity with a range of methods in computational social science (though the idea is not to look in detail at how these methods can be executed)
- An appreciation of the range of theory and subject areas addressed by the field of computational social science
- An understanding of how CSS methods are applied to carry out data driven social science projects
|
| Sprache |
Englisch |
| Begrenzung |
Priority for LUMACSS students in case of too many registrations. |
| Anmeldung |
***Wichtig*** Um Credits zu erwerben ist die Anmeldung zur Lehrveranstaltung über das UniPortal zwingend erforderlich. Die Anmeldung ist ab zwei Wochen vor bis zwei Wochen nach Beginn des Semesters möglich. An- und Abmeldungen sind nach diesem Zeitraum nicht mehr möglich. Die genauen Anmeldedaten finden Sie hier: http://www.unilu.ch/ksf/semesterdaten |
| Leistungsnachweis |
Presentation, active participation / 4 credits |
| Abschlussform / Credits |
Presentation, Active Participation / 4 Credits
Aktive Teilnahme (Textlektüre) / 4 Credits
|
| Hörer-/innen |
Nach Vereinbarung |
| Kontakt |
jonathan.bright@pattrn.ai |
| Literatur |
The reading list will be circulated before the beginning of class, students should expect to read 2-4 pieces of literature per double session, of varying lengths. |