GRAPHIA Project: Introduction to LLMs Webinar and Use Cases Call
Ursula Rabar
Hi all,
GRAPHIA, an European research project building an open knowledge graph to connect Social Sciences and Humanities (SSH) data has 2 opportunities to engage: a new webinar in our 2026 series focused on Large Language Models and call for commercial and industry organisations to provide use cases.
This webinar offers an accessible introduction to how large language models (LLMs) work - and what they can (and cannot) do for research in the social sciences and humanities. Using GRAPHIA as a case study, the session walks participants through the lifecycle of an LLM, from pre-training to domain adaptation, while introducing core concepts such as tokenisation, embeddings, transformer architecture, and prompting. We will also present the ongoing GRAPHIA LLM4SSH initiative, aimed at developing a suite of models tailored to scholarly needs, and demonstrate how researchers can access and experiment with LLMs through the GRAPHIA LLM Gateway.
When: 19th March at 2 PM CET
Register here: https://us02web.zoom.us/meeting/register/Tp0tOOV3RS2uyehZ5iyYdA#/registration
2. GRAPHIA Call for Use Cases
GRAPHIA invites industry and commercial organisations working with Social Sciences and Humanities (SSH) content to explore how the GRAPHIA knowledge graph infrastructure can support real-world products, services, and workflows.
Who is this for?
Organisations based in the European Research Area such as (but not limited to) scholarly and trade publishers, EdTech providers, data aggregators, SMEs, start-ups, consultancies, or other organisations working with SSH data.
If you are not an organisation as described above but you know some that might be interested, feel free to share it with them.
Benefits:
Early access to tools, services, and infrastructure
Collaboration with SSH, data, and AI experts
Visibility for your organisation on the GRAPHIA website and communications
Deadline for expressions of interest: 5 March 2026
Full details and the short form to express interest can be found here.
We hope you’ll consider engaging with GRAPHIA, both are opportunities to help shape how knowledge graphs can meaningfully support SSH research.
With best regards,
Ursula