Key Projects - 2013 and beyond

This project aims to enhance earthquake hazard modeling capabilities in small communities, as well as to provide better risk models

The 2.5 year-project, will be implemented in collaboration with local scientists and stakeholders in El Salvador, Nepal and Bhutan (components 1, 2, and 3), as well as small communities in the Pacific, Indian and Atlantic Oceans (component 4).

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METIS or Methods and Tools Innovation for Seismic Risk Assessment is a project that is part of the Safety margins determination for design basis-exceeding external hazards program funded by the European Commission.

Europe

Willis, a GEM Advisor Sponsor is leading a consortium to implement the project, “Developing a Disaster Risk Transfer Facility in the Central Asia Regional Economic Cooperation Region” funded by ADB.

The Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe (SERA) aims to reduce the risk posed by natural and anthropogenic earthquakes.

The goal of the Program in Central America and the Caribbean is to develop capacity in the region for earthquake risk assessment by leveraging GEM tools and resources.

The availability of new data, local and regional seismotectonic studies and recently developed methods and tools prompt the development of a new PSHA model in Sub-Saharan Africa.

The Global Facility for Disaster Reduction and Recovery (GFDRR) and the UK Department for International Development's (DFID) competitive Challenge Fund pilots new and innovative risk management approaches.

The CRAVE project, through the current GEM and GVM network tools will offer a timely and unique opportunity to advance the understanding of seismic and volcanic risk in the region.

Colombia, Indonesia and the Philippines

Initiated in 2013, the South America Risk Assessment (SARA) Project brought experts, institutions, and stakeholders from seven countries to develop a regional assessment of earthquake hazard and risk.

Modelling Exposure Through Earth Observation Routines (METEOR) takes a step-change in the application of more accurate levels of population exposure to natural hazards.