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CORDIS

AI Readiness for Social Impact

Objective

The adoption of AI in science has shown immense potential to advance research, particularly in the life and physical sciences. With the rapid growth in the availability and power of AI models, we stand at a critical juncture: all scientific fields must prepare to benefit from AI while avoiding resource fragmentation. At the same time, the principles of open science and trustworthy AI must be integrated throughout research lifecycles, from design to execution, supported by best practices and environments for AI-based open science.
The AI4SOCIAL+ project advances AI readiness and machine actionability within the European Open Source Cloud ecosystem through three actions: (1) building a common AI Readiness Framework to assess the adoption of AI across research lifecycles with best data practices and stewardship; (2) Bringing tools for machine-actionability in federated data repositories; and (3) Implementing a user-friendly and portable AI-ready infrastructure platform. These efforts ensure that the benefits of AI reach all areas of scientific research. Starting with the social sciences and humanities, AI4SOCIAL+ will enable effective and positive societal change.
Our approach is interdisciplinary and based on co-design. We engage community stakeholders, developers, researchers, and AI engineers to co-design the AI Readiness Framework through five diverse use cases. These AI-assisted research cases provide evidence-based validation for the iterative development and extensibility of the project’s actions. A sustainable Competence Centre will support continuous learning and community engagement, driving cultural and practical change in AI adoption. By aligning with EU AI strategies, AI4SOCIAL+ empowers researchers to conduct novel AI-based studies while ensuring scientific integrity, data quality, transparency, reuse, and verification. The project will expand beyond academia to foster a dynamic community of AI champions across industry, IT, and public administration.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-INFRA-2025-01

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Coordinator

BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 135 521,47
Address
CALLE JORDI GIRONA 31
08034 BARCELONA
Spain

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Region
Este Cataluña Barcelona
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (13)

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