AI in Science Resources

In July 2026, SCIANCE is featured in the ERCIM News special theme issue ‘E-values: Statistical Testing for the 21st Century’

The Strategic Advisory Board (SAB) of the SCIANCE project provides high-level guidance to ensure the scientific and strategic quality of project outputs.

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.

The SCIANCE Mapping Methodology provides a structured, scalable, and evidence-based approach to analysing the European landscape of Artificial Intelligence (AI) in Science.

The Project Handbook supports the consortium partners in the effective and efficient management of the activities performed in the framework of SCIANCE project.

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.

SCIANCE has concluded its call for experts for the AI in Science Working Groups (AISWG). Out of 665 applicants, 150 experts were selected.

The SCIANCE consortium has been positively evaluated and invited to enter Horizon Europe grant preparation, with Commissioner Ekaterina Zaharieva highlighting its key role in supporting the development and coordination of RAISE through a community-driven, bottom-up approach.