Imagine having a high-tech early warning system that doesn't just see a storm coming, but predicts exactly which city streets will flood and where food shortages might trigger social unrest. It mixes satellite images with social media trends and weather reports to spot danger signs before they happen. It's like a weather forecast that also tells you how people and economies will react to the disaster.
Climate change acts as a threat multiplier, where natural disasters like floods trigger secondary crises such as food insecurity and political instability. Businesses and governments lack integrated tools to anticipate these knock-on effects before they escalate into full-scale emergencies.
Service pipelines for generating urban flood and food/water insecurity indicators, including multi-criteria analysis tools and composite risk indexes.
If you are a reinsurance firm dealing with unpredictable urban flood claims — this project developed composite risk indexes that allow for better impact assessment of flood-related threats to assets and infrastructure. This helps in pricing premiums more accurately based on anticipative response data.
If you are a trading company dealing with volatile crop yields in fragile regions — this project developed indicators for food and water insecurity. By monitoring these crisis indexes, you can anticipate political instability and displacements that disrupt supply chains.
If you are a city manager dealing with aging drainage systems and increasing storms — this project developed service pipelines for urban flood monitoring. This allows for better preparedness and protection of population and critical infrastructure.
Based on available project data, no specific pricing or cost structure is mentioned as it is an EU-funded research project.
The project is currently implementing service pipelines and iterating through data and analytics integration, suggesting it is moving toward a scalable pilot phase.
Based on available project data, licensing details are not provided; however, the project is coordinated by E-GEOS SPA with a consortium of 14 partners.
It integrates heterogeneous sources including Copernicus services, meteorological data, socio-economic data, and sensors like social media.
The project period runs from 2022-12-01 to 2026-03-31.
The consortium is heavily weighted toward commercial application, with a 57% industry ratio comprising 8 companies, including 4 SMEs. With 14 partners across 7 European countries, the project balances academic research (1 university, 4 research centers) with strong industrial execution led by E-GEOS SPA, indicating a high likelihood of practical, market-oriented outputs.
Contact E-GEOS SPA in Italy for technical inquiries regarding Copernicus service integration.
Contact us to find out how to integrate these climate risk indexes into your corporate risk management strategy.
