On Thursday, September 24, 6pm (CEST), Federico Boschetti of the Cnr-Istituto di Linguistica Computazionale “Antonio Zampolli” (CNR-ILC) will present as keynote speaker the contribution “Context Engineering for AI-assisted Digital Scholarly Editing: Workflows, Infrastructures, and Modal Logics from the Italian Research Landscape” at the Machine Learning for Digital Scholarly Editions Summer School (Graz, 21-25th September 2026). This contribution offers a methodological reflection on context engineering applied to digital scholarly editing, drawing on experiences from the Italian research landscape.
About the Summer School
Machine learning is increasingly shaping research in the Digital Humanities, offering powerful tools for analyzing and enriching textual data. Using the Python library BERTopic, participants will explore various steps of topic modeling. Building upon BERTopic’s modular architecture, students will be introduced to several essential machine learning methods, such as embedding, dimensionality reduction, and clustering. Through practical sessions, students will learn to apply these techniques to historical texts. 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.
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).