Eucentre is a non-profit private law foundation whose mission is to conduct research and provide training and services in earthquake and safety engineering 
Eucentre promotes science, research and innovation for the benefit of the community, offering targeted methodologies and concrete solutions for prevention, safety and resilience. It collaborates with institutions and companies to disseminate competencies for the common good.
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Eucentre carries out research activities in earthquake engineering and risk reduction through laboratory testing and numerical analysis, aiming to improve the seismic performance of structures and soils and to develop innovative seismic retrofitting techniques.
The Foundation promotes diverse and high-quality training activities aimed at academic and professional contexts, with constantly updated and innovative programs and initiatives designed to meet the evolving needs of the sector and society 
Eucentre ensures communication aimed at informing institutions, professionals, and citizens about ongoing activities and projects, with the goal of disseminating useful and accessible content and knowledge. It contributes to promoting a shared and informed culture of prevention and resilience.
In the field of seismic risk reduction and natural disaster management, the ability to communicate events quickly to the community is crucial. The Eucentre Foundation is actively involved in developing early warning systems that monitor territory and infrastructure in real time and provide early warnings in the event of potential danger.
Eucentre takes a multidisciplinary scientific approach, integrating seismic engineering, advanced sensors, artificial intelligence and digital technologies to create effective solutions that support civil protection, local authorities and infrastructure managers.
The early warning systems developed within the projects in which Eucentre participated are based on a network of intelligent instruments that are capable of:
- automatically detect the response of any type of structure under any type of stress;
- automatically analyse data in real time to report events based on their origin, and they have the potential to integrate artificial intelligence and machine learning technologies;
- provide timely alerts, enabling the relevant authorities to activate evacuation, inspection or damage containment protocols, and to communicate effectively with affected users, supporting them during the emergency.
Early warning systems represent a technological frontier for mitigating the effects of events on communities. Reliable, scalable and adaptable to different needs, they are fundamental tools for building a more resilient, prepared and risk-aware society.
