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.
Resources
Explore resources about AI-enabled scientific research in Europe
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.
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.