Thursday 15th October from 11.00 – 17.30 | Friday 16th October from 09.00 – 12.00 | OAK Room/Cypress Suite, UCD University Club
Thursday 15th October from 11.00 – 17.30 | Friday 16th October from 09.00 – 12.00 | OAK Room/Cypress Suite, UCD University Club
AIS26
Hands-on Session | 15 October 2026 | 09:20-10:30 IST | Cedar Suite, UCD University Club
In-person and online | 15-16 October | AIS26 and via RAISE Forum
SCIANCE is launching the Registry of Good Practices in AI-enabled Science, which is a growing collection of practical examples demonstrating the effective and responsible use of AI across different scientific disciplines and research settings. The Registry is designed to capture the practical experience of the research community and identify lessons that can be shared across fields.
SCIANCE is identifying and analysing good practices in AI-enabled science. The aim is to identify transferable lessons that can inform researchers, research organisations, infrastructures and the wider European AI-in-Science community.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Science Infrastructure Landscape”, supporting the identification of strategic priorities for RAISE.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “Frugal AI for Science”, supporting the identification of strategic priorities for RAISE.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI for Open Science & Trustworthy AI”, supporting the identification of strategic priorities for RAISE.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI for Research & Experimental Design”, supporting the identification of strategic priorities for RAISE.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Social Sciences & Humanities”, supporting the identification of strategic priorities for RAISE.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Astronomy & Fundamental Physics”, supporting the identification of strategic priorities for RAISE.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Materials Science”, supporting the identification of strategic priorities for RAISE.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Earth Sciences”, supporting the identification of strategic priorities for RAISE.