Machine Learning for Digital Scholarly Editions - CLARIAH-AT Summer School 2026
When: Monday, September 21 - Friday, September 25, 2026
Where: Department of Digital Humanities (University of Graz)
Elisabethstraße 59/III, 8010 Graz, Austria
Registration: The submission deadline has already passed (15.5.2026).
Organisation: Martina Scholger, Roman Bleier, Lucija Brozić, Selina Galka, Gunter Vasold, Klara Venglarova and Elisabeth Raunig (all Universität Graz ), in cooperation with the Institute for Documentology and Scholarly Editing (IDE) and CLARIAH-AT.
Machine learning is increasingly shaping research in the Digital Humanities, offering powerful tools for analyzing and enriching textual data. In this summer school, participants will use the Python library BERTopic to explore various steps of topic modeling. Building upon BERTopic’s modular architecture, students will be introduced to essential machine learning techniques, such as embedding, dimensionality reduction, and clustering. Through practical sessions using historical texts, students will learn to apply, interpret, and critically assess these techniques. The aim is to give non-experts a high-level practical overview of how to use the BERTopic library and the essential theory behind its modules. The school is intended for both students and researchers with an interest in the intersection between digital scholarly editing and Machine Learning. After attending the school, participants will have a basic understanding of machine learning algorithms and be able to assess their possible applications as well as strengths and limitations. Participants will be able to practically use BERTopic on their own data.
Website: Machine Learning for Digital Scholarly EditionsFunding, Organizers and Hosting Institution
This one-week school is generously funded by CLARIAH-AT and the Univerisity of Graz. It will be hosted by the Department of Digital Humanities of the University of Graz in collaboration with the Institute for Documentology and Scholarly Editing (IDE).
Requirements
A basic understanding of digital editions, the Text Encoding Initiative (TEI), and Python programming is expected for participation. Participants will work with Jupyter Notebooks, Google Colab and GitHub.
Fees
There are no fees for the summer school. However, participants must arrange and cover the costs of their travel, accommodation, and meals.
Application
The school is limited to 24 participants. If you are interested in participating, please submit a letter of application including a short CV (max 2 pages) to Roman Bleier ( roman.bleier@uni-graz.at ) and Martina Scholger ( martina.scholger@uni-graz.at ).
The deadline for submissions is 15 May 2026. The summer school committee will evaluate each application and select participants by 31 May 2026.