AI-Warn

Overview

Description

AI-Warn aims to develop a specialized, holistic early warning system (EWS) for climate-induced hazards, such as geo-related instabilities in upland Europe and urban floods in lowland Europe. By leveraging remote sensing, Earth Observation (EO) and UAV technologies, IoT-based embedded sensors, and AI-driven data analytics for the EWS decision layer, the system will support emergency responders, infrastructure managers, and local authorities in making timely, evidence-based decisions to safeguard lives and assets. The project will actively engage communities through targeted awareness campaigns and crowdsourcing initiatives, promoting preparedness and fostering local participation. AI-Warn will be linked with the Copernicus Emergency Management Service (CEMS) On-Demand Preparedness Mapping, ensuring that real-time geospatial intelligence enhances decision-making during critical events. Focusing on regions already experiencing the impacts of climate-related hazards, including Dubrovnik (representative of upland Europe) and Brussels (representative of lowland Europe), AI-Warn will embed local knowledge into a region-specific EWS framework that is interoperable with the existing IT systems of relevant stakeholders. In doing so, the project directly addresses the core objectives of the KAPP call: increasing risk awareness and establishing an effective, integrated early warning system.

Project content

News

AI-WARN Consortium Meeting Focuses on Monitoring and Data

The consortium met in Dubrovnik to further define monitoring and data integration approaches for the project’s case studies in Dubrovnik and Brussels.

AI-WARN Field Visit in Dubrovnik: Defining Sensor Locations

In September, the AI-WARN team visited five locations in Dubrovnik to assess and define suitable positions for sensor installation.

AI-Warn Case Studies: Brussels and Dubrovnik

AI-Warn UNIZG partners visited Brussels and Dubrovnik case study areas to assess climate risks and support AI-driven early warning system development.

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