Enhancing particle physics analysis reproducibility with agentic systems
Resources
Explore resources about AI-enabled scientific research in Europe
CMS FlashSim
End-to-end generative AI for simulation and reconstruction in high-energy physics experiments
How RAISE is taking shape?
SCIANCE session at AIS26
SCIANCE activities during 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.
AISWG Workshop (open for AIS26 attendees): Shaping the RAISE SRIA: Open Science and Trustworthy AI for European Research
ERCIM News: SCIANCE: AI for Scientific Discovery in Europe
In July 2026, SCIANCE is featured in the ERCIM News special theme issue ‘E-values: Statistical Testing for the 21st Century’
RAISE Secretariat Terms of Reference
The Terms of Reference for the RAISE Secretariat pilot, hosted by the European Science Foundation, outlines the scope, roles, responsibilities and processes governing Secretariat activities in the context of the SCIANCE Coordination and Support Action.
Strategic Advisory Board Engagement Plan
The Strategic Advisory Board (SAB) of the SCIANCE project provides high-level guidance to ensure the scientific and strategic quality of project outputs.
Data Management Plan
The Data Management Plan for the SCIANCE project focuses on data collection, usage and sharing activities within the project. It also describes how data is protected, made accessible and available according to existing regulations and the project’s Grant Agreement.
Mapping Methodology
The SCIANCE Mapping Methodology provides a structured, scalable, and evidence-based approach to analysing the European landscape of Artificial Intelligence (AI) in Science.
Project Handbook
The Project Handbook supports the consortium partners in the effective and efficient management of the activities performed in the framework of SCIANCE project.
Communication, Dissemination and Exploitation Strategy
The SCIANCE Communication, Dissemination, and Engagement framework defines an integrated approach to building visibility, fostering stakeholder engagement, and ensuring the uptake, exploitation, and long-term impact of project results within the emerging European AI in Science ecosystem.