The Strategic Advisory Board (SAB) of the SCIANCE project provides high-level guidance to ensure the scientific and strategic quality of project outputs.
The Strategic Advisory Board (SAB) of the SCIANCE project provides high-level guidance to ensure the scientific and strategic quality of project outputs. Composed of leading experts from European and international organisations, the SAB advises on project outputs (research priorities, infrastructure upgrade scenarios, cooperation mechanisms, and sustainability pathways), facilitates alignment with broader European initiatives and stakeholder engagement.
Disclaimer: This project deliverable has been submitted to the European Commission and is pending formal review and approval by HaDEA.
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.
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.
The Terms of Reference for the AI in Science Working Groups (AISWGs) define the objectives, structure, roles and responsibilities, and operational modalities of the working groups covering five scientific pilot areas and five cross-cutting AI-related topics.
The Commission has published an update of the ERA Living Guidelines on the responsible use of Generative AI in research – a set of recommendations offering simple and operational guidance to the research community to foster the adoption and responsible use of generative artificial intelligence (AI).