multilingual and multiscriptual digital humanities

Are you passionate about exploring the intersection of digital technologies and the humanities? Join our PhD course ‘An Introduction to Digital Humanities and to the digital treatment of language data’ designed specifically for PhD students interested in applying digital methods to their humanities language data, and to thereby be able to answer new kinds of research questions on large amounts of such data. In this course, we will equip you with a basic understanding of various methods, standards, and tools essential for conducting digital humanities research on language data.

Our focus of the course will be on the digital processing of text and speech, exemplified among others through the extensive digital corpora available through The Department of Nordic Studies and Linguistics. You will have hands-on experience with the corpus tool Korp, enabling you to unlock valuable insights hidden within vast amounts of textual data. Additionally, we will look into natural language processing techniques, providing you with a practical introduction to zero-shot & few-shot prompting of large language models, and machine learning with Python. Finally, you will be introduced to modern prompting and RAG (Retrieval Augmented Generation) techniques for having large language models (LLMs) assist in annotating and analysing your material. You will get the opportunity to work with these tools also on your own data.

As part of the course, you will also be introduced to CLARIN, a digital platform renowned for its research infrastructure in linguistic data. Moreover, we recognize the importance of text standards and FAIR (Findable, Accessible, Interoperable, and Reusable) data in today's scholarly landscape. The course will introduce you to these concepts, equipping you with the knowledge to ensure your research adheres to the standards of data integrity and accessibility.

Max. numbers of participants: 25 Participants must submit 1/2 page abstract about their project and the digital language data which they apply. Please submit the abstract by email to phd@hrsc.ku.dk no later than 2 March 2026.

Please register via the link in the box no later than 9 February 2026. For more information about the PhD course, please contact the PhD Administration (phd@hrsc.ku.dk).

Institutions

• PhD School at the Faculty of Humanities at University of Copenhagen