In February 2025, several days of intense rainfall caused a fatal rockfall that struck the Dubrovnik’s main state road, a critical transport and evacuation route, resulting in significant damage and the loss of life. Only one month later, another period of heavy rainfall led to the collapse of a retaining wall within the urban area, highlighting the vulnerability of ageing infrastructure and the growing risks associated with climate change. The visit to Dubrovnik in June focused on locations most affected by slope instability. UNIZG project participants inspected damaged retaining walls and visited several high-risk hillside areas where rockfalls pose a significant threat to infrastructure, transport routes, and public safety. These field assessments will help define the optimal locations for sensor deployment and provide valuable information for calibrating AI models according to the local geological and environmental conditions.

During the visit to Brussels, partners from UNIZG met with representatives of the City of Brussels to discuss the implementation of the AI-Warn system and the specific requirements of the pilot area. The coordinators from UNIZG also carried out a field inspection in Laken, where the proposed monitoring locations were assessed to identify the most suitable sites for the installation of sensors that will collect real-time environmental data for flood monitoring and support the AI-driven Early Warning System. The knowledge gained from both pilot areas will directly support the integration of artificial intelligence, remote sensing technologies, sensor networks, and predictive analytics into the existing municipal data platforms and monitoring systems of the Cities of Brussels and Dubrovnik.