Workshop Report “Automation of Lab Workflows & Collaboration”

This report presents the state-of-the-art review on AI in science carried out by the SCIANCE project, providing a structured, evidence-based assessment of five scientific pilot domains: Astronomy and Fundamental Physics, Earth Sciences, Life Sciences, Materials Science, and Social Sciences and Humanities.

This report reviews the state of the art in artificial intelligence research and technological development for scientific research.

This report describes the structured directory of European infrastructures, initiatives, platforms and projects relevant to Artificial Intelligence in Science, together with an analytical assessment of the current landscape on AI in science in Europe.

This report presents the development of a cross-domain registry of good practices in AI-enabled science.

This report documents the findings and co-creation outcomes of the European SCIANCE workshop titled
“Automation of Lab Workflows & Collaboration,” which aimed to define strategic research and innovation priorities
for Europe’s upcoming AI-in-Science infrastructure roadmap

This report presents the findings and co-creation outcomes of the European SCIANCE workshop on “Experimental
Design & Policy Support,” a key initiative under the Resource for AI Science in Europe (RAISE) project framework.

RAISE brings together information, infrastructures, initiatives and knowledge to support the development of AI-enabled scientific research across Europe. The aim is to provide an integrated gateway where scientists, AI researchers, infrastructure providers, innovators and policymakers can explore the ecosystem, collaborate and contribute to shape the future of AI in Science.

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.