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Supporting the AI/ML Digital Transition of Copernicus Services

This funding call under the SPACE 2025 program focuses on integrating artificial intelligence (AI) and machine learning (ML) into the Copernicus Services to enhance their digital transformation. The call emphasizes advancing AI/ML strategies to improve the quality, reliability, and efficiency of Copernicus data and workflows while fostering user interactivity and on-demand services. Key challenges include addressing the infrastructure, know-how, and integration required for AI/ML in operational workflows. Proposals are expected to adopt cutting-edge AI/ML approaches, develop scalable solutions, and ensure alignment with Copernicus operational requirements and EU policies.

Opening: 03 Jun 2025
Deadline(s): 13 Nov 2025

Data provided by Sciencebusiness.net

This funding opportunity represents a pre-agreed draft that has not yet been officially approved by the European Commission. The final, approved version is expected to be published in the first quarter of 2025. This draft is provided for informational purposes and may be used to preliminarily form consortia and develop project ideas, but it is offered without any guarantees or warranties.

Expected Outcome

• Integrated AI/ML strategy for Copernicus Services
• Enhanced quality, timeliness, and reliability of Copernicus data
• Faster and more energy-efficient Copernicus workflows
• Improved user experience through interactive and on-demand services
• Knowledge sharing on AI/ML applications within Copernicus
• Enhanced AI-readiness of Copernicus data

Scope

• AI-supported retrieval algorithms for Copernicus missions
• Advanced methods for cloud and shadow identification in optical sensing
• Enhanced physics parameterization and numerical model optimization
• Fault and outlier detection in production workflows
• Automated pre-processing and QA/QC for improved data quality
• Innovative data fusion and compression techniques
• Improved Earth system modelling through advanced AI techniques
• Adaptive workflow optimization and interactive user interfaces
• Development of AI-driven chatbots for enhanced user support

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