Collection, Generation and Validation of Datasets suitable for training AI Models for 6G Networks and for AIaaS

This grant funds the creation, curation, validation, and utilization of high-quality real-world and synthetic datasets for training AI models in 6G networks and AIaaS. It aims to collect data from operational networks, digital twins, emulators, and experiments, develop open-source simulators, provide frameworks for generating, processing, and auditing datasets, and ensure data quality and representativeness. The project promotes an open data space for SNS JU projects and broad adoption through standardization, industry, and community engagement. Widespread use of these datasets is targeted to improve 6G performance and facilitate AI-driven services and applications.

AgencyHORIZON (EU)
RegionEU
CountryN/A
Legal formCompany, NGO, Government organization, Other
Start date29 Jan 2026
End date29 Apr 2026
Max funding**Innovation Actions**: 8,000,000 EUR per grant, **Coordination and Support Actions**: 1,000,000–3,000,000 EUR per grant
BudgetHORIZON-JU-SNS-2026-STREAM-CSAs: 1 grant each for 1,000,000–3,000,000 EUR in 2026 HORIZON-JU-SNS-2026-STREAM-B-01 (Innovation Action): 1 grant for 8,000,000 EUR in 2026 HORIZON-JU-SNS-2026-STREAM-C-01 (RIA): 1 grant for 8,000,000 EUR in 2026
Coverage

Grant funding in accordance with Horizon Europe rules. At least half of the budget must be implemented by SNS JU members (apart from the Union) and their constituents/affiliated entities.