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.
Life sciences investigate living systems across multiple scales, from molecules and cells to organisms, populations and ecosystems. The SCIANCE review covers seven major research domains represented by European research infrastructures: biobanking and biomolecular resources, life-science data, marine biological research, biological and biomedical imaging, early-stage drug discovery, integrated structural biology, and microbial resource science.
Scientific challenges
Structural barriers
AI Approaches and Maturity
Europe benefits from a strong ecosystem of life-science research infrastructures including ELIXIR, Euro-BioImaging ERIC, BBMRI-ERIC, EMBRC-ERIC, Instruct-ERIC, MIRRI-ERIC, EU-OPENSCREEN, EOSC and the European Health Data Space. Together they provide advanced technologies, data resources, scientific expertise and collaborative networks supporting AI-enabled life sciences.
Life sciences are moving towards increasingly predictive, data-intensive and AI-enabled research. While AI is already transforming several domains, future progress will increasingly depend on interoperable data ecosystems, trusted infrastructures, multidisciplinary expertise and responsible governance.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI for Research & Experimental Design”, supporting the identification of strategic priorities for RAISE.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Social Sciences”, supporting the identification of strategic priorities for RAISE.
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.
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.
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.
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.
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.
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.