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.
Resources
Explore resources about AI-enabled scientific research in Europe
AI in Science Infrastructure Landscape
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.
Frugal AI for Science
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.
AI for Open Science & Trustworthy AI
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.
AI for Research & Experimental Design
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.
AI in Social Sciences & Humanities
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.
AI in Astronomy & Fundamental Physics
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.
AI in Materials Science
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.
AI in Earth Sciences
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.
AI in Life Sciences
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Life Sciences”, supporting the identification of strategic priorities for RAISE.
AI for Data Science & Advanced Analytics
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI for Data Science & Advanced Analytics”, supporting the identification of strategic priorities for RAISE.
SuperCode
AI-assisted optimisation of scientific software for sustainable computing