Call

HORIZON-INFRA-2025-01-EOSC-05

Grant agreement

No.101292597

Starting date

1 June 2026

Ending date

31 May 2029

Project funding

€8.391.245,00

UniPD funding

682.000,00

Role

EOSC-ARENA


AI Research Enhancement through Networked Agents

Abstract

EOSC-ARENA is a Horizon Europe project that aims to establish a sovereign, generative, and agentic AI ecosystem integrated with the European Open Science Cloud (EOSC). The project seeks to transform how AI supports scientific research by providing an intelligent assistant that spans the full research lifecycle, from knowledge discovery and hypothesis generation to analysis, reporting, and provenance tracking. Building on a multi-agent architecture and a dedicated marketplace for generative AI services, EOSC-ARENA will enable federated training and inference, secure and interoperable AI workflows, and integration with EOSC through existing European e-infrastructures. The initiative is strongly grounded in principles of data and model sovereignty, human-centred AI, transparency, and research integrity, while addressing the growing need for advanced AI/ML services in science. The consortium, coordinated by Poznan Supercomputing and Networking Center IBCh (PSNC), brings together European partners with expertise in AI, data science, research infrastructures, bioinformatics, and Open Science. Among the partners, the BioComputing UP laboratory at the University of Padova (UNIPD) contributes expertise in bioinformatics, Open Science, and AI best practices and standards, with strong capabilities in semantic interoperability and the development of transparent and trustworthy AI applications. This expertise is further reinforced by its internationally recognised knowledge in protein science and structural biology, including the development and maintenance of DisProt, one of the project’s 12 interdisciplinary use cases.



Funded by the European Union, HORIZON-INFRA-2025-01 under Grant Agreement 101292597. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

Funded by the European Union, HORIZON-INFRA-2025-01 under Grant Agreement 101292597. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.