Header - Acronym and Title

icon priority
2 - Green and resilient shared environment
SO 2.1 - Climate change adaptation

AI RESONANCE

Natural risk prevention and management through physics based methods and AI

Information - Card

Information

Start date
01/09/2026
End date
28/02/2029
Total budget
1.310.242.50
Partnership
IT - 2
HR - 3
Project typology:
Standard project

Project specific objectives - Card

Project specific objectives

1. Strengthen coastal observation across six case studies in Italy and Croatia through joint surveys, multidisciplinary monitoring and an updated WebGIS platform, helping authorities understand how climate change affects Adriatic coasts.

2. Combine physical and numerical modelling with monitoring data to investigate waves, coastal flooding, landslides and shoreline retreat, and assess how AI can support climate adaptation and coastal risk management.

3. Increase climate awareness among younger generations through school and university seminars, educational exchanges and dialogue with experts on coastal change, adaptation and the role of AI.

Project main outputs - Card

Project main outputs

Integrated coastal monitoring pilot action. One joint pilot action across the selected Adriatic sites will test complementary survey methods and new wave and ground motion sensors. The action will strengthen the evidence available for coastal risk assessment and management.
Joint climate adaptation solution. One solution will combine monitoring data, physical and numerical models and AI to support the assessment of coastal hazards and identify adaptation options. The project will also investigate thresholds for early warning and develop a flood early warning prototype in Conero Regional Park.
Cross border public event and intergenerational dialogue. One jointly organised public event will bring together experts, young people and stakeholders from Italy and Croatia to discuss project findings, coastal adaptation and the opportunities and limitations of AI.

About section

About

AI RESONANCE builds on the results of the Interreg Italy–Croatia RESONANCE project to strengthen understanding and management of climate-related coastal risks across the Adriatic. It combines expanded monitoring datasets, marine geophysics, remote sensing, numerical modelling and Artificial Intelligence (AI) to investigate and predict coastal erosion, retreat, landslides and flooding driven by climate and human-induced change.

The initiative will expand the RESONANCE database with new case studies in Italy and Croatia, continue monitoring pilot sites, update bathymetric data and deploy new sensors to improve wave and geomorphological modelling. AI will then be used to analyse monitoring data and simulation results, helping identify future risk patterns and define thresholds for early warning systems. An early warning system will be established in Conero Regional Park in Italy, supporting the protection of people, infrastructure and natural heritage.

The project will also share its results with coastal authorities, researchers, schools and universities. Student and teacher exchanges between the Universities of Urbino and Rijeka, educational activities and a public event will promote knowledge exchange and intergenerational dialogue on Adriatic coastal resilience and the role of AI in climate adaptation.
 

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Lead partner

The Lead partner represents and takes full financial and legal responsibility for the entire partnership.

University of Urbino "Carlo Bo"
Department of Pure and Applied Sciences

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