Call for Contributions DARIAH-CH Study Day 2026
- Cristina Grisot
- 17 hours ago
- 3 min read
AI in Digital Humanities for Teaching, Research and Data Management
About the Study Day
Each year, DARIAH-CH brings together researchers, PhD students, data stewards and other data management professionals and the interested public for a one-day event dedicated to digital humanities in Switzerland. For its 5th edition, hosted by the University of Geneva, the Study Day turns to the question that is reshaping every corner of the field: how is artificial intelligence transforming the way we teach, research, and manage humanities data?
The programme will include a keynote by Isabella di Lenardo (EPFL) in the form of a public conference at the Bibliothèque de Genève, a live demonstration of model training, and contributions from the DARIAH-CH community.
Call for contributions
We invite researchers from Swiss universities and universities of applied sciences, PhD students, cultural heritage professionals, and data management specialists to submit a short contribution on any aspect of AI and digital humanities. Contributions from data and research infrastructure professionals — not only from academic researchers — are explicitly welcome: a well-run data pipeline, a documented governance decision, or a hard-won lesson from a failed AI experiment is exactly the kind of practical knowledge this Study Day exists to share.
As in previous editions, contributions will take the form of short oral pitches and posters. This year, we are also introducing a new, more hands-on format — see below.
Topics
Contributions are invited to one or more of the following categories:
A. AI Methods and Tools for Humanities Research
Applications of generative AI, large language models, computer vision, or other AI techniques to humanities research questions and cultural data — case studies, methodological reflections, and preliminary or completed results are all welcome.
B. AI in Teaching and Digital Literacy
Experiences of integrating AI tools into digital humanities curricula and training, critical and pedagogical approaches to AI literacy, and reflections on how AI is changing what and how we teach.
C. Data Management, FAIR/CARE and Responsible AI Governance
Data stewardship in the age of AI: documentation, provenance, and metadata practices for training and research data; ethical and legal challenges; balancing FAIR and CARE principles; institutional and disciplinary frameworks for responsible AI use.
D. AI and Cultural Heritage Collections
Automated processing and enrichment of archival, museum, and library collections: OCR/HTR, image recognition, automatic metadata generation, and other AI-assisted approaches to digitisation and access, including their limits and failure modes.
E. Infrastructure, Tools and Reproducibility
Open-source pipelines, computing infrastructure, benchmarking, interoperability, and reproducibility practices for AI-driven digital humanities work — including software and tools built for reuse by others.
Contributions format
Short oral contribution : A concise, pitch-style presentation of a project, method, dataset, or reflection, in the spirit of previous Study Days' pitch sessions.
Poster: A visual presentation of a project or idea, well suited to work in progress, student projects, or infrastructure and tool demonstrations. Posters will be on display for the full day, with a dedicated poster session for informal discussion.
New this year — AI Show & Tell : A hands-on complement to the pitch and poster formats: show us a tool, workflow, prompt pipeline, or notebook in action rather than only talking about it. Bring a live demo, a short screen recording, or a working notebook, and share a link (repository, Colab/Binder notebook, or demo page) that other participants can try during the breaks. This format is deliberately open to unfinished, experimental, or even unsuccessful demos — a well-documented dead end is often as useful to the community as a polished result.
How to submit
Please provide the following information using the online submission form:
• Title of your contribution
• Name(s), affiliation(s) of first author and co-authors
• Preferred format: short oral contribution, poster, or AI Show & Tell
• Topic category (see above)
• An abstract of 250 words
We particularly encourage submissions from PhD students and early-career professionals.
Accepted contributions will be compiled into a book of abstracts, as in previous editions.
Key dates
Call for contributions opens | 1 September 2026 |
Submission deadline | 17 October 2026 |
Notification of acceptance | 31 October 2026 |
Registration deadline | 24 November 2026 |
DARIAH-CH Study Day 2026 | 1 December 2026 — Bibliothèque de Genève |
Contact and organisers
Study Day 2026 is organised by Béatrice Joyeux-Prunnel (University of Geneva) and Cristina Grisot (DARIAH-CH).
For questions about this call, please contact dariah-ch@dasch.swiss.
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