The DMADD Project aims to develop an innovative, impact-based Multi-Hazard Early Warning System (MHEWS) for the Maldives. By harnessing digital technology and collaboration between key agencies, this initiative focuses on enhancing climate resilience, ensuring the safety of communities, and enabling timely responses to natural hazards, especially in Fuvahmulah City.
Phase 1 focuses on creating a prototype that integrates data and
digital tools for effective early warning of natural hazards in Fuvahmulah City.
Phase 2 involves customizing and expanding the MHEWS for use across Fuvahmulah City, with plans for
future implementation throughout the Maldives. This phase includes testing, user training, and
building local capacity.
The project emphasizes outreach and training, ensuring that local communities and agencies are equipped with the knowledge and tools needed to respond to climate risks, making Fuvahmulah City a model for disaster resilience.
Establishing a network between agencies like MMS, NDMA, and local councils ensures a seamless flow
of information and resources for effective early warning and disaster response in the
Maldives.
The creation of a digital platform will centralize climate and hazard data, providing stakeholders
with actionable insights to enhance decision-making and enable a proactive response to
climate-related threats.
The DMADD Project is led by the Ministry of Climate Change, Environment, and Energy (MoCCEE) of the Maldives, with support from the World Bank. Key partners include the Maldives Meteorological Service (MMS), National Disaster Management Authority (NDMA), and the University of Salford’s THINKlab. THINKlab brings expertise in digital solutions and multi-hazard forecasting, playing a vital role in developing the innovative early warning system for Fuvahmulah City. Together, we work to strengthen disaster preparedness and response in the Maldives.
Reach out to the University of Salford THINKlab team for more information on how we are building a safer and more resilient future through the DMADD Project.