Imagine having a high-tech weather map that doesn't just show rain, but tells you exactly how that rain will hit your wallet and your local supply chain. It connects climate data with economic reality to show where the real dangers are. It's like a GPS for business resilience, helping you avoid costly mistakes when planning for the future.
Companies struggle to quantify the exact financial risk of climate events because climate data is often separated from economic data. This leads to poor investment decisions and inefficient adaptation spending.
A Decision Support System (DSS) platform and a harmonised data repository containing high-resolution hazard indicators at NUTS2 and NUTS3 scales.
If you are a regional insurance provider dealing with unpredictable extreme weather claims — this project developed a Decision Support System (DSS) that quantifies costs of emergent socio-economic risks at NUTS3 level. This allows for more accurate premium pricing and risk mapping.
If you are an agri-investment firm dealing with crop failure risks from droughts and heatwaves — this project developed a tool that integrates bio-geophysical knowledge with economic data. This helps in choosing cost-effective adaptation options for specific rural regions.
If you are a transport operator dealing with infrastructure damage from storms and snow — this project developed a cross-sectoral risk assessment tool. It provides evidence to inform investment decisions for more resilient transport corridors.
Based on available project data, no pricing model or licensing fee is mentioned; the project is funded by an EU contribution of EUR 3,444,624.
Yes, the project targets NUTS2 and NUTS3 regional scales across 9 countries, indicating a design meant for wide geographic and industrial application.
Based on available project data, specific IP or licensing agreements are not listed, though it involves a consortium of 15 partners including 3 SMEs.
The system integrates complex information from climate risk data sets and non-climatic sectoral data collected during the project.
The project period runs from 2024-01-01 to 2026-12-31, suggesting the final ready-to-use solution will be available by the end of 2026.
The consortium is well-balanced for technology transfer, consisting of 15 partners across 9 countries. With a 20% industry ratio (3 industry partners, including 3 SMEs), there is a clear bridge between the 7 universities and 2 research centers and the commercial market, ensuring the tool is designed for practical business use rather than just academic publication.
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