We also bring significant expertise for initiatives focused on policy monitoring, agri-environmental indicators, and agricultural data for decision support:

• Identification of data needs for agricultural policy assessment. We have collaborated with public administrations to analyse interoperability challenges and data gaps in environmental and agricultural monitoring (e.g., in Andalusia).

• Development of EU-wide reference datasets & harmonized indicators. Strong background in creating homogeneous, multi-source datasets aligned with CAP and Green Deal requirements, using advanced data engineering and statistical modelling. Our land-cover mapping methodology is transferable and designed to produce homogeneous datasets across regions and seasons, aligning with the creation of Europe-wide reference datasets.

• Monitoring of agri-environmental conditions. We develop tools for long-term monitoring of land use, crop stress, irrigation patterns, and environmental indicators through integrated satellite + ground-based data pipelines.

• New methodologies for policy performance evaluation. Including data-driven compliance assessment, automated validation pipelines, and reduced administrative burden via NLP and AI-supported reporting.

• Decision support systems for future CAP. Experience with MCDA (Multi-Criteria Decision Analysis) models and digital tools integrating public and private datasets to support scenario analysis and policy evaluation.

• Advanced use of new satellite imagery and ground sensors. We integrate Sentinel-2, ASTER, UAV imagery, and sensor networks in our geospatial workflows for environmental and agricultural monitoring.

Khaos Research is a research group at the University of Malaga specializing in data technologies, semantic interoperability, AI, and large-scale data management for agri-food and environmental domains.

We are very interested in joining a consortium that aims to address these challenges, contributing our expertise in:
• semantic data infrastructures
• FAIR data management
• geospatial analytics
• trustworthy AI for agriculture
• policy-related data engineering
• data-based service composition (via TITAN)

If this aligns with your ongoing plans or if you are forming a consortium, we would be pleased to discuss potential collaboration opportunities.

I would be happy to arrange a short meeting to explore synergies in more detail.