If you are a reinsurance provider dealing with unpredictable climate losses—this project developed AI-driven predictive models and GIS tools that improve risk assessment across borders. This allows for more accurate pricing of policies in high-risk zones like Spain and Portugal.
Cross-Border Disaster Management System for Climate and Geological Risk Reduction
Imagine if every country had a different playbook for fighting a wildfire that crosses a border, causing chaos and delays. This project creates one shared rulebook and a digital toolkit so everyone speaks the same language during a crisis. It uses satellites and AI to predict where disasters will hit and how to recover faster.
What needed solving
Emergency responses to climate disasters are currently fragmented by national borders and sector silos. This lack of coordination increases socio-economic losses and slows down recovery times.
What was built
A unified set of protocols for disaster risk management and a digital toolkit combining AI predictive models, Earth observation, and GIS decision support.
Who needs this
Who can put this to work
If you are a freight operator dealing with supply chain breaks due to floods—this project developed harmonised protocols for emergency management that optimize response mechanisms. This helps maintain route viability and reduces downtime during geological disasters.
If you are a software developer dealing with fragmented data silos in crisis apps—this project developed a unified system integrating Earth observation and AI. This enables the creation of tools that work across different national borders and sectors.
Quick answers
What is the cost or price for implementing these protocols?
Based on available project data, there is no specific commercial pricing mentioned; however, the project is supported by an EU contribution of EUR 2,999,943.
Can this be scaled to an industrial level?
Yes, the project includes replication guidelines specifically designed to support scaling up the systemic approach across different areas in Europe.
How is the IP or licensing handled for the AI models?
Based on available project data, specific licensing terms are not provided, but the project focuses on creating harmonised protocols for transnational use.
What regulations does this help with?
It addresses the need for standardized environmental impact assessments and emergency management protocols across EU borders.
When will the results be ready for business use?
The project period runs from 2025-09-01 to 2028-08-31, suggesting full results will be available by late 2028.
Who built it
The consortium is heavily weighted toward operational implementation, featuring 17 partners from 10 countries. With 4 industry partners and 4 SMEs (a 24% industry ratio) and 9 'Other' entities (likely public authorities or emergency services), the group is structured for real-world deployment rather than academic research, as evidenced by the total absence of universities.
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Talk to the team behind this work.
Contact us to connect with the HARMONY consortium for pilot integration.