News briefs: June-September 2022



Cities on Volcanoes Conference and Volcanic Risk Scenario assessment using OpenQuake

On June 16th, Catalina Yepes of the Risk Team presented virtually “Towards a Uniform Approach for Risk Assessment due to Volcanoes and Earthquakes at the 11th Cities on Volcanoes (CoV11) hybrid event held from June 12th-17th in Crete, Greece. Her presentation featured how to generate volcanic scenarios in OpenQuake. You can download Cata’s presentation here:

GEM team conducted an online training on July 8th on how to estimate the impact of a hypothetical volcanic eruption using the OpenQuake Engine, and run an example to visualise damage and loss maps (economic and human impact). The event was an off-shoot of the CoV11 international conference.

X Congreso Nacional de Ingeniería Sísmica Bogotá

On Jun17th, GEM and its TREQ project partners (SGC, EAFIT, UNGRD and the Municipality of Cali) presented virtually the paper “Exposure Model for Catastrophic Risk Assessment of Santiago de Cali” at the X Congreso Nacional de Ingeniería Sísmica of Colombia, in Bogotá. The presentation featured the methodology and results of the collaborative exposure model developed in collaboration with local stakeholders and that is currently being used in the formulation of the risk emergency plan of the city, as a result of the TREQ project.

Launch of Seismica journal

GEM is proud to support the launch of Seismica, an independent journal, designed and built by a global team of researchers to make research in earthquake science and engineering freely available. GEM’s Vitor Silva is a member of the core editorial team. More information at:

3rd European Conference on Earthquake Engineering and Seismology

Vitor Silva presented ‘The Evolution of Future Earthquake Risk’ and Luis Martins presented ‘A single deep learning model for portfolio risk analysis’ in the Third European Conference on Earthquake Engineering and Seismology held in Bucharest from 4-9 September, 2022.

Vitor’s presentation focused on identifying the drivers of earthquake risk such as global population, economic growth, climate change, and ageing infrastructure, and how risk reduction measures can be designed and implemented to achieve specific risk reduction targets.

Luis’ presentation focused on a novel end-to-end deep learning algorithm to estimate building and contents losses of a portfolio of assets directly from simple earthquake features (i.e. magnitude, distance to rupture, and ground shaking intensity) and an encoding of the building class.

You can download a copy of the proceedings at


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