Imagine a weather app that doesn't just tell you it's raining, but predicts exactly which diseases will spread in your city because of that rain. It uses AI to spot health risks from heatwaves or floods before they happen. This helps city leaders plant the right trees or prepare hospitals to save lives.
Cities in the Boreal region lack the tools to predict how climate change will trigger specific health crises. This leads to reactive rather than proactive healthcare spending and urban planning.
An AI-powered Decision Support platform, a climatic and epidemiological observatory, and city-specific risk and vulnerability plans.
If you are a municipal engineering firm dealing with urban heat islands and flood risks — this project developed a Decision Support system that recommends nature-based solutions to protect public health in 5 major Baltic cities.
If you are a software provider dealing with outdated disease tracking — this project developed an AI-powered forecasting tool and climatic observatory that predicts health impacts of climate stressors.
If you are an insurance company dealing with unpredictable climate-related health claims — this project developed risk and vulnerability plans for 8 specific cities to better assess regional risks.
Based on available project data, no specific pricing or commercial cost model is mentioned; the project is funded by an EU contribution of EUR 6,099,870.
The project demonstrates effectiveness in 5 major Baltic cities and replicates results in 3 other municipalities, suggesting a model for scaling across similar climatic zones.
Based on available project data, specific licensing terms are not provided, though the project includes dedicated exploitation activities to accelerate adoption.
The system is designed to close the gap between EU-level data and local preventive action through a climatic and epidemiological observatory.
The project period runs from 2024-09-01 to 2028-02-29, indicating the tools will be developed and validated over this timeframe.
The consortium is heavily weighted toward practical application, featuring 9 industry partners and 10 SMEs (a 35% industry ratio). This strong commercial presence, combined with 4 universities and 3 research centers across 11 countries, suggests a focus on creating a deployable product rather than just theoretical research.
Contact EXUS SOFTWARE MONOPROSOPI ETAIRISMENIS EVTHINIS in Greece
Contact us to explore licensing opportunities for the AI-driven Decision Support system.
