In September 2025, SCC participated in several applications submitted under the Horizon Europe Work Program Research Infrastructures, Destination INFRAEOSC - Enabling an operational, open and FAIR EOSC ecosystem (2025). To our great delight, four submitted proposals were accepted and funded! In the coming months and over the next three years, researchers from the Data Analytics, Access and Applications (D3A) department will be working on the EOSC-ARENA, GenAI4Earth, FLUID-AI and EOSC-Mesh projects.
EOSC-ARENA is a consortium of 19 partners from nine EU countries and Switzerland, with KIT represented by SCC and the Institute of Microstructure Technology (IMT). The project aims to develop a multi-agent GenAI system as a virtual scientific assistant, covering the entire end-to-end research-data lifecycle. Special emphasis is placed on the integration of GenAI capabilities, sovereignty in AI systems, responsible AI usage, and the research community engagement.
GenAI4Earth brings together 17 partners from eight EU countries and the UK, with KIT participating through SCC and the Institute for Meteorology and Climate Research Atmospheric Environmental Research (IMKIFU). The consortium is going to unlock generative AI’s potential by embedding it responsibly within the European Open Science Cloud (EOSC) and implementing services tailored for the Earth System Sciences (ESS) communities. Objectives include making datasets FAIR-by-design and GenAI-ready, advancing machine-actionable research data and GenAI services across EOSC infrastructures, validating and demonstrating GenAI services through real-world scientific pilots in ESS, and contributing to policies and standardisation.
FLUID-AI unites 28 partners from ten EU countries, with KIT contributing through SCC and IMKIFU. Participants are going to significantly enhance the interoperability, machine-actionability, and AI readiness of data and models across European Research Infrastructures (RI) and EOSC by introducing an innovative new approach to (re-)define the Data and Models Liquidity concept within the RIs and EOSC. The project also aims to foster a collaborative AI research community in the EOSC and beyond.
EOSC Mesh will establish a distributed Hub of seven collaborating EOSC Nodes (three horizontal: EGI, Scholarly Communication, EUDAT; and four thematic: ENVRI Cluster, SSHOC Cluster, BBMRI, CERN), offering a catalogue of 25 integrated Federating Capabilities across Core, Generic, and Thematic layers. The consortium comprises 30 beneficiaries and 16 affiliated entities from 15 countries, with KIT participating through SCC. SCC contributes to the delivery of Core Federating Capabilities, including Helpdesk-as-a-Service and integration options for Mesh Nodes. The project targets more than 2,000 research centres across 40+ countries, while also supporting the enrolment of additional Nodes into the EOSC Federation through open calls, and an adoption programme for both providers and research communities.
Contact at SCC for EOSC-ARENA, GenAI4Earth, and FLUID-AI: Dr. Valentin Kozlov
Contact at SCC for EOSC-Mesh: Dr. Pavel Weber