What to expect:
- A walk-through of working with Claude, Claude Code, and local LLMs in practice, including honest time estimates and a case where it didn't work
- An introduction to MCP servers and how they connect AI to institutional tools like CRIS platforms and repository systems
- A demo of the SURF AI Hub and ORI DataLake Chatbot as a middle path within institutional frameworks
- A hands-on discussion block where we route real cases through a draft decision tree (data sensitivity, scale, reproducibility, auditability)
- A concrete takeaway: one sentence, document, or pilot you can bring to your own institution board
Come with one task: please think of one concrete task you're currently unsure how to handle with AI, something you tried and abandoned, are considering, or a colleague asked about. We'll collect these on the day to stress-test the framework together.
Full agenda and pre-meeting details to follow closer to the date.
Organised by Nick Veenstra (RUG) and Maurice Vanderfeesten (SURF)
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