The Adriatic-Ionian area is subject to high hydrogeological risk, with morphological processes that can drastically alter the natural landscape and cause significant damage to communities, nature and infrastructure. Considering the irreversibility of extreme weather events linked to climate change, a joint effort across the macro-region is needed to invest in forecasting, prevention and mitigation measures in order to reduce the territory’s vulnerability to landslides.

Landslides are a frequent phenomenon in this macro-region, closely interlinked with other variables. In recent years, several factors have contributed to worsening the frequency, impact and extent of landslides, including anthropogenic changes (deforestation, increasing urbanisation and inappropriate land use), extreme weather events (droughts followed by heavy rainfall) and a lack of effective monitoring systems.

To address these challenges, the following priorities have been identified:

• shared risk perception, to develop a common understanding of landslide threats in the ADRION region;
• a transnational approach, with the collection and analysis of data from monitoring systems, shared among the countries affected by landslides;
• updating historical databases on landslide phenomena, updated to address climate change;
• artificial intelligence and big data, to improve landslide prediction and management;
• predictive models to understand the link between landslides and climate change.

The project focuses on six pilot cases chosen from among the partner countries, with different morphologies and hydrogeological structures. The aim is to develop and test an early warning system based on artificial intelligence and big data to reduce the risks associated with climate change.

To find out more:
>> Download the Newsletter here
>> AIMS Project website
>> Download the Newsletter, Volume 2 (March 2026)

The transnational approach of AIMS promotes the exchange of innovation and knowledge and facilitates the transfer of a predictive model based on artificial intelligence that has been tested and validated in specific areas and can be adapted and replicated in other areas.

This will help accelerate progress towards the common goal of preventing and managing landslides in different territories. The transnational approach will also enable partners to influence policies, regulations and regulatory frameworks at regional, national and even European level. The main beneficiaries of the results developed will be local/regional/national public authorities, infrastructure builders and urban planners in their land management functions.

• Polytechnic University of Marche – Italy (lead partner)
• Geological Survey of Slovenia – Slovenia
• Albanian Geological Survey – Shqipëria, Albania
• Resource Environmental Centre – Bosnia and Herzegovina
• Croatian Geological Survey – Croatia
• University of Patras – Greece
• Romagna Tech – Italy
• Regional Development Agency Eastern Serbia – Serbia