Explore how AI can accelerate scientific discovery while safeguarding research integrity, transparency and human accountability. Exchange practical experiences, discover AI in Science best practices from across Europe and contribute to discussions on responsible institutional AI adoption.
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.
Join us on 12 November 2026, from 15:30 to 16:30 CET, for the webinar ‘Shaping AI in Science in Europe, by Scientists and for Scientists’, organised by the SCIANCE project as part of AI Innovation Month.
Session curated by SCIANCE at AIS2614.45 – 15.30 (45min), Thursday 15 October 2026
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 session at AIS26
On 15 and 16 October 2026, the AI in Science Summit 2026 (AIS26), organised by the European Commission and the Irish Presidency of the Council, will take place in Dublin, Ireland.
In July 2026, SCIANCE is featured in the ERCIM News special theme issue ‘E-values: Statistical Testing for the 21st Century’