Common European Data Spaces and Robust AI for Transparent Public Governance
The world is currently confronting unprecedented challenges, encompassing a global pandemic, ongoing conflicts, and environmental and energy crises. In response to these crises, there has been a significant surge in emergency public spending, accompanied by a relaxation of due diligence checks and oversight.
Consequently, this has given rise to patterns of corruption and fraudulent activities, exerting profound and detrimental impacts on the European economy, society, environment, and politics.
CEDAR sees these challenges as catalysts for research, innovation, and collaboration.
GOAL 1 - IDENTIFY
Collect, generate, harmonise, synchronise, protect, and share new large-scale, high-quality, high-value datasets.
GOAL 2 - BUILD
Improve methods and tools for effective data management and machine learning (ML) operations (DataOps, MLOps).
GOAL 3 - DEVELOP
New data analytics and machine learning methods for robust, data-efficient, human-centric, and well-informed decision making.
GOAL 4 - VALIDATE
Promote CEDAR results with relevant public and private stakeholders and generate direct and tangible impacts on the European economy, society, and environment.
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