Imagine your city's streams as the veins of the urban landscape. When these veins get clogged with pollution or concrete, it doesn't just hurt the fish—it makes people sicker and more stressed. This project builds a digital early-warning system to spot these health risks early and suggest ways to fix the water to improve human wellbeing.
Cities suffer from degraded aquatic ecosystems that increase the risk of pathogens and human disease. Decision-makers lack the tools to link water health directly to human health outcomes for timely intervention.
An AI-based Environmental Surveillance System consisting of a digital app and a backoffice for monitoring 100 urban stream sites.
If you are a municipal engineering firm dealing with decaying urban waterways—this project developed an AI-based Environmental Surveillance System that provides effective recovery measures for aquatic health. This allows for data-driven decisions on how to redesign channels to reduce human health risks. It uses data from 100 streams to ensure the solutions work across different climates.
If you are a water quality monitoring startup dealing with a lack of standardized health indicators—this project developed a list of indicators linking water degradation to human health. By integrating these into a digital app and backoffice, you can offer cities a tool that predicts health risks rather than just measuring pollution. This leverages a network of 100 monitoring sites.
If you are a health insurance provider dealing with rising urban stress-related diseases—this project developed a system to monitor the link between nature degradation and disease severity. By using these early warning indicators, you can identify high-risk urban zones. This helps in promoting preventative health measures based on environmental data.
Based on available project data, no specific pricing or commercial cost model is mentioned; the project is funded by an EU contribution of EUR 4,939,558.
Yes, the project has already tested the system across 5 cities covering a climatic, environmental, and sociocultural gradient, monitoring a total of 100 streams.
Based on available project data, the IP and licensing terms are not specified, though the project involves 16 partners including 4 industry entities.
The project provides a digital app and backoffice designed to support decision-makers with AI-based surveillance and environmental monitoring.
The project runs from 2023-01-01 to 2026-12-31, with significant achievements reached by month 36.
The consortium is well-balanced for technology transfer, featuring a 25% industry ratio with 4 industry partners (including 4 SMEs). With 16 partners across 10 countries, the project combines deep academic research (7 universities, 3 research institutes) with practical industrial application, ensuring the AI tools are grounded in real-world urban data.
Contact Universidade de Coimbra for details on the AI Environmental Surveillance System.
Contact us to explore licensing opportunities for the OneAquaHealth digital backoffice.
