UNESCO launches AI disaster response system in Solomon Islands
UNESCO will implement a new AI-assisted disaster risk management system, EDiSON, in the Solomon Islands, following its selection of the solution developed by SAP Japan and disaster-prevention venture Inspiration Plus, based at Oita University.
The initiative is a significant step for disaster resilience efforts across the Asia-Pacific (APAC) region, where small island nations face heightened climate-related risks.
The project targets the unique challenges encountered by small island developing states, focusing on improving prediction and response to natural hazards such as cyclones and floods.
AI-powered predictions
EDiSON is designed to support disaster management authorities by integrating a variety of data sources, including real-time meteorological information and historical data records.
The system applies machine-learning capabilities via SAP Business AI to enhance early warning and disaster response.
The platform helps detect and forecast damage to terrain, monitor affected areas, and inform authorities' decisions on evacuation notices. It also enables coordination of emergency responses, aiming to mitigate potential harm and disruption from severe weather events and other hazards.
Model for island nations
The Solomon Islands project is part of UNESCO's wider Disaster Prevention Strengthening Programme, with operations slated to begin in 2026. It is expected to serve as a scalable model for other APAC island nations that face increasing climate-driven threats.
The goal is to offer a cost-effective, data-driven disaster-preparedness framework suitable for regions with limited analytical and financial resources.
Located in the South Pacific, the Solomon Islands experience frequent earthquakes, tsunamis, cyclones, droughts, and floods. EDiSON is expected to strengthen national preparedness and operational response for managing such recurring threats.
Integrated data sources
EDiSON integrates static and dynamic data received from government, municipal, and private-sector contributors. This approach enables real-time insights and situational awareness, supporting faster, evidence-based decision-making for authorities responsible for safeguarding population and infrastructure.
The developers designed the platform to be modular, enabling customisation without requiring extensive investment or deep in-house technical expertise.
System selection rationale
UNESCO selected EDiSON based on its prior use in Japan, where advanced disaster-management systems are common.
The system has shown its ability to address obstacles such as fragmented data, limited access to analytics, and low operational usage rates.
Its emphasis on sustainability and scalability is intended to support governments in resource-constrained APAC settings as they work to deploy sophisticated predictive and disaster-management tools efficiently.
"EDiSON represents a leap forward in how science and technology can empower vulnerable communities. By integrating AI and real-time data, we are not only improving early warning capabilities but also building a foundation for long-term resilience and sustainable development," said Soichiro Yasukawa, Chief of Disaster Risk Reduction, UNESCO.
"This project exemplifies SAP's commitment to using technology to empower resilient communities. EDiSON is a powerful example of how our cloud platform and AI capabilities can be tailored to meet the needs of communities facing real-world challenges. We're proud to support UNESCO in bringing this innovation to the Solomon Islands and beyond," said Sophia Mendelsohn, Chief Sustainability and Commercial Officer, SAP.
