OSL Skills Course: Computational Literary Studies

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Dates: 7 and 14 April, 12 and 19 May, 12:00-15:00 (onsite, Amsterdam, ) + 26 May (online only, 12:00-15:00), 2 June (online only, 13:30-16:30)
Venue: University of Amsterdam, Oudemanhuispoort 4-6, Amsterdam Room: OMHP A0.09
Organizer: Prof. dr Karina van Dalen-Oskam (University of Amsterdam)
Open to: PhDs and RMA students; OSL members have first access.
Credits: 3-6ECs. NB: Credits can only be awarded to humanities ReMA and PhD students from Dutch universities
Registration: VIA THIS LINK (registration will open 17 February 2025)

The first part of the course explores the new horizons and possibilities as well as the limitations of computational approaches in literary studies. Several computational tools will be demonstrated such as concordance software that can be used for discourse analytical approaches and specialized R-scripts for authorship attribution and stylistic analysis. The questions to be addressed in the first four sessions of the seminar include: How can different authors be distinguished from each other using computational tools? In which ways do their writing styles exactly differ? What are the options for computer-assisted discourse analysis? What kinds of reasoning and logic play a role when computational tools are applied and what are their epistemological implications? How can we evaluate the results of the new methods and techniques? Each class, a new tool will be introduced and the students will learn the basics of their use hands-on.

The second part of the course is optional and more practical. In two workshop-like hands-on meetings students will conduct small research projects of their own. In this way, they will learn to use the computational tools themselves and gain practical experience with their possibilities and limitations. The research projects can be devoted to the cases presented in the first part of the course but also be proposed by the students themselves.

Course objectives:

  • Students learn to employ empirical and computational methods in literary studies, including the selection of tools and the reflection on their possibilities and
  • Students get an overview of international discussions in the fields of computational literary studies and digital humanities and learn to relate their research to these
  • Students learn to reflect on the relation of research questions and digital methods in literary studies.

More details on the programme will follow soon.