News International Conference for the Decade Memory of the Wenchuan Earthquake By: Jul 12, 2018 Share Facebook LinkedIn The 4th International Conference on Continental Earthquakes organized by the China Earthquake Administration (CEA) was held from May 12-14, 2018 in Chengdu, Sichuan, China to commemorate the 10th anniversary of the Wenchuan earthquake. “It has been 10 years since the great earthquake of Wenchuan, Sichuan, southwest China. The impact of that devastating event on either natural science or social sustainability was so important that a decade review will be of no doubt worth for further development,” said Prof. Guoguang Zheng, conference convener and Director of China Earthquake Administration. In line with this, GEM’s Marco Pagani with CEA’s Prof. Mengtan Gao co-organized a session on the activities promoted by Global Earthquake Model. In this session, Anirudh Rao from the GEM Risk Team presented how the OpenQuake engine could be used to assess earthquake risk. Examples of annual average losses, exposure and vulnerability models were presented to emphasize the scientific features of the engine. Anirudh also emphasized the importance of open tools and open data being promoted by GEM. This conference had also been a venue to report the progress of GEM-CEA collaboration to implement China’s national earthquake hazard model on OpenQuake. The collaboration, which started in 2017 hopes to update China’s hazard model for better understanding of future earthquakes in the country. The GEM-CEA technical partnership aims to further fine tune the model for mitigation purposes. In one of the presentations, Professor Tso-Chien Pan from the Institute of Catastrophe Risk Management-NTU Singapore showed a case-study using OpenQuake to investigate the effects of high-resolution location-based exposure data on seismic risk estimates of urbanized regions in Southeast Asia. About the Wenchuan earthquake Sichuan earthquake of 2008, also called Wenchuan earthquake or Great Wenchuan Earthquake, Chinese Wenchuan dizhen or Wenchuan Da Dizhen, massive and enormously devastating earthquake that occurred in the mountainous central region of Sichuan province in southwestern China on May 12, 2008. The epicentre of the magnitude-7.9 quake (measured as magnitude 8.0 by the Chinese) was located near the city of Dujiangyan, about 50 miles (80 km) west-northwest of Chengdu, the provincial capital, at a depth of 11.8 miles (19 km) below the surface. The May 2008 quake flattened some four-fifths of the structures in the affected area. Whole villages and towns in the mountains were destroyed, and many schools collapsed. Almost 90,000 people were counted as dead or missing and presumed dead in the final official Chinese government assessment; the officially reported total killed included more than 5,300 children, the bulk of them students attending classes.(source: https://www.britannica.com/event/Sichuan-earthquake-of-2008) No images found. GALLERY 1/0 VIDEO RELATED CONTENTS

News Sura and GEM continue collaboration to understand earthquake risk for Latin America By: Mar 17, 2020 Share Facebook LinkedIn https://www.suramericana.com/index.html Suramericana S.A., an insurance company with presence in nine countries in Latin America and the Caribbean (Argentina, Brazil, Chile, Colombia, Dominican Republic, El Salvador, Mexico, Panama, Uruguay), most of which have significant earthquake risk, will work with GEM to further enhance the understanding of seismic risk in the region. The project, which will run for two years to the end of 2021, continues the partnership with Suramericana which, over the past 6 years, has contributed significantly to GEM’s hazard and risk information and models in Latin America. In the area of seismic hazard, the new project will focus on the implementation of site response analysis in the OpenQuake engine, which will enable GEM to implement Sura’s information on site conditions, and on the development of improved tools to reduce the uncertainty in the estimation of earthquake hazard in the region. In seismic risk, the project will focus on validation, testing and calibration of building vulnerability models, with a particular focus on high-rise structures, and on assessing losses due to business interruption and human fatalities. No images found. GALLERY 1/0 VIDEO RELATED CONTENTS

News A glance at the OQ hazard component By: Jul 2, 2018 Share Facebook LinkedIn A paper recently published on the latest issue of Seismic Research Letters presents the main features of the OQ-engine hazard component, and particularly how they have been developed, the process adopted and their possible applications in earthquake hazard modelling. As quality assurance (QA) and testing in hazard analysis, and in scientific computing in general, are becoming critical elements of any practical application, the paper concentrates also on describing the manner in which the OQ-engine, and its development process, fulfils these important requirements. Learn more about the OQ-engine and take the chance to test it yourself through OATS system (OpenQuake Alpha Testing Service). No images found. GALLERY 1/0 VIDEO RELATED CONTENTS

News 100 Resilient Cities CoLab Workshop in Cali, Colombia By: Jul 2, 2018 Share Facebook LinkedIn 100 Resilient Cities – pioneered by the Rockefeller Foundation (100RC), held a collaborative workshop (CoLab) in Cali, Colombia from 20-22 February on the resilience of school infrastructure. Cali is located in the southwestern part of the country and is Colombia’s third largest city, with a metropolitan population of about 2-1/2 million people. Cali is at very high at risk from earthquake, as well as flood and landslide hazards. John Schneider, GEM Secretary General was invited to attend the CoLab workshop on behalf of GEM as a prospective partner in 100RC, potentially to work with Cali and other cities in the 100RC network to improve understanding of earthquake risks. He said “the 100RC CoLab workshop was a great way to meet 100RC partners, city officials and other stakeholders committed to developing resilient cities, and to see how reducing risks to disasters such as earthquakes can play an important part in the process.” The CoLab was attended by about 50 people, the majority from the Municipality of Cali (Mayor’s office as well as departments of education, risk management, and planning), and the remainder from the 100RC team (led by Vivian Argueta Bernal, Cali Chief Resilience Officer), together with international partners including AIR Worldwide (Alvaro Farias); International Code Council (Alberto Herrera); Build Change (Anna Pavan); Geohazards International (Janise Rodgers); and World Bank (Fernando Ramirez and Fred Krimgold). The workshop focused on Cali’s ambitious USD 170 million dollar program called “My Community, My School” which seeks to improve the quality of Cali’s public educational system. The aim is to fund improvements to about 150 schools over the next several years, including improving physical infrastructure (e.g., new construction and seismic retrofit), as well as making qualitative improvements in school programs. Some of the key discussion points in the workshop were to consider how to design (or redesign) schools to be centers of their local communities, to be safe and sustainable, and to be the foundations for a resilient Cali. Cali Mayor Maurice Armitage said, “Cuando hablo de resiliencia, que es una palabra rara en Colombia, me refiero a buscar que esos colegios que estamos remodelando o que estamos construyendo se conviertan en los establecimientos donde la gente se puede refugiar." (When I speak of resilience, which is a rare word in Colombia, I mean to look for those schools that we are remodeling or that we are building to become the establishments where people can take refuge.)(Source: http://www.cali.gov.co/resiliencia/publicaciones/139149/colab-es-una-gran-oportunidad-para-invertir-de-manera-resiliente-en-educacion-armitage/ ) The workshop promoted interaction between local and international experts to exchange ideas about the design of safe and sustainable schools, and the importance of schools as part of a resilient community. The workshop also produced a set of recommendations for projects for consideration by the Mayor as part of a master plan for the development and maintenance of the school system. As part of the visit to Cali, John also met with Hans Jürgen Meyer and Cristina Rosales of Corporación OSSO, a non-profit and public-good organization based in Cali and devoted to natural hazard and risk research and applications to society. OSSO works closely with the Department of Planning in Cali to develop flood, earthquake and landslide hazard maps. GEM is now assisting OSSO to use the OpenQuake suite of tools for earthquake hazard and risk assessment, which has resulted in a pilot study of earthquake risk in Cali. OSSO has also contributed improvements to GEM’s IDC tools, including a Spanish version of the mobile app. GEM looks forward to working with OSSO in the future on urban risk assessment issues. No images found. GALLERY 1/0 VIDEO RELATED CONTENTS

Publications The 2018 version of the Global Earthquake Model: Hazard component Share Facebook LinkedIn Download 2020 | Peer-reviewed In December 2018, at the conclusion of its second implementation phase, the Global Earthquake Model (GEM) Foundation released its first version of a map outlining the spatial distribution of seismic hazard at a global scale. The map is the result of an extensive, joint effort combining the results obtained from a collection of probabilistic seismic hazard models, called the GEM Mosaic. Together, the map and the underlying database of models provide an up-to-date view of the earthquake threat globally. In addition, using the Mosaic, a synopsis of the current state-of-practice in modeling probabilistic seismic hazard at national and regional scales is possible. The process adopted for the compilation of the Mosaic adhered to the maximum extent possible to GEM’s principles of collaboration, inclusiveness, transparency, and reproducibility. For each region, priority was given to seismic hazard models either developed by well-recognized national agencies or by large collaborative projects involving local scientists. The version of the GEM Mosaic presented herein contains 30 probabilistic seismic hazard models, 14 of which represent national or sub-national models; the remainder are regional-scale models. We discuss the general qualities of these models, the underlying framework of the database, and the outlook for the Mosaic’s utility and its future versions.

News FSEC and Atlantic Re Become First GEM Sponsors from Africa By: Jul 7, 2025 Jul 7, 2025 Share Facebook LinkedIn The Global Earthquake Model (GEM) Foundation has signed landmark agreements with Morocco’s Fonds de Solidarité contre les Événements Catastrophiques (FSEC) and with Atlantic Re, marking the Foundation’s first-ever public and private sector sponsorships from Africa. The agreement with FSEC was formalised on 27 June during GEM’s Summer Governing Board meeting, held as part of the Foundation’s semesterly governance session. The agreement with Atlantic Re was signed shortly after, on 7 July, when the CEO, Ms. Ouafae Mriouah visited the GEM headquarters in Pavia. In addition to signing sponsorship agreements, the three parties intend to also establish a tripartite collaboration which would outline plans to jointly develop Morocco’s first openly available national seismic hazard and risk model, in close cooperation with Moroccan scientists, engineers and institutions. The initiative aims to strengthen earthquake risk understanding in Morocco and support the development of science-based resilience strategies. “We are very pleased to welcome FSEC and Atlantic Re to the GEM family,” said Helen Crowley, GEM Secretary General. “This marks a major milestone for GEM – our first new public sponsor in seven years, and the first time we welcome both public and private sector sponsorship from the same country, and from Africa.” Established in 2019, FSEC is Morocco’s national solidarity fund mandated to provide compensation to victims of catastrophic events and to promote financial protection through insurance and reinsurance mechanisms. Atlantic Re, formerly known as Société Centrale de Réassurance (SCR), is a leading reinsurer headquartered in Casablanca with operations in more than 70 countries and a strategic focus on expanding its presence across the African continent and the Middle East. The collaboration reflects a growing recognition in Morocco of the need for robust seismic risk models to support national resilience planning. Situated at the convergence of the African and Eurasian tectonic plates, Morocco is exposed to moderate to high seismic risk, as highlighted by the 2023 Al Haouz earthquake, which caused at least 2900 fatalities. For FSEC, the partnership represents an increasing commitment to integrating scientific data and modelling into national disaster preparedness and financial protection strategies. “Joining GEM aligns with FSEC’s mission to strengthen Morocco’s resilience to catastrophic events through better risk understanding. This collaboration will contribute to building a scientific foundation for future public policy and financial protection strategies,” said Nouaman Al Aissami, Director, FSEC. Being part of CDG Groupe, the largest public investment fund in Morocco, Atlantic Re’s engagement complements this effort by bringing the private sector into a shared resilience agenda – one that connects earthquake risk reduction with sustainable insurance solutions. “This partnership reflects our shared commitment to reducing the protection gap in Northern Africa. By working with GEM and FSEC, we aim to support the development of scientific tools and risk models that benefit not only Morocco’s insurance sector, but also the broader public by promoting disaster preparedness and resilience,” said Abderrahim Oulidi, Head of CAT Risk department at Atlantic Re. Atlantic Re's CEO, Ms. Ouafae Mriouah (left) and GEM's Secretary General, Helen Crowley. GEM champions open access to its global data, models and tools, all freely downloadable from its website. Sponsorship, however, enables institutions to engage more deeply through tailored training, advanced models, technical collaboration and participation in global initiatives. Public sponsors also benefit from partnerships with leading research and government institutions worldwide, while private sponsors gain opportunities to collaborate with global experts. Work on the Moroccan model is expected to begin in the second half of 2025, with a kick-off workshop currently being planned. The collaboration is designed to support long-term knowledge sharing and help reduce disaster risk across the region. For more information on how to become a GEM public or private sponsor, or to discuss tailored technical cooperation, please get in touch with info@globalquakemodel.org or visit https://www.globalquakemodel.org/get-involved . No images found. GALLERY IMG_0355.HEIC gem fsec signing 1 IMG_0356.HEIC gem fsec signing 2 PXL_20250707_113741769_edited.jpg IMG_0355.HEIC gem fsec signing 1 1/11 VIDEO RELATED CONTENTS

News Natural Catastrophe Risks workshops with ICRM-NTU Singapore and GEM By: Oct 7, 2019 Share Facebook LinkedIn Anirudh Rao presents the Myanmar residential exposure model. The GEM Hazard and Risk teams represented by Marco Pagani, Vitor Silva, Anirudh Rao and Robin Gee visited China and Singapore from September 26 to October 1 to participate in Nat Cat Risks Workshops co-organized by GEM and the Institute of Catastrophe Risk Management, Nanyang Technological University ( ICRM-NTU ), Singapore. The first leg of the natcat risks workshop was held in Guangzhou, China from September 26-27. Robin and Marco of Hazard Team presented the seismic hazard for the Pearl River Delta Region. They also presented the OpenQuake suite - engine, hazard library and model building toolkits, and presented fragility and vulnerability models, with a focus on the PRD. In addition, Jian Ma of Beijing Normal University (BNU) presented GEM's work on exposure modelling for the Pearl River Delta in China with assistance from GEM’s Anirudh and Robin. The Pearl River Delta also known as the Golden Delta of Guangdong, is formed by three major rivers, the Xi Jiang (West River), Bei Jiang (North River), and Dong Jiang (East River). It is considered as a megalopolis with an estimated population of 120 million people, and rapidly urbanizing.( Wiki ) The high population, rapid urbanization and other socio-economic factors underpin the interest in assessing the changing nature of earthquake and flood risk of the river delta. In the second leg of the journey, GEM Hazard and Risk teams had productive discussions on seismic risk assessment for the ASEAN countries at the Nanyang Technological University, Singapore from September 30-October 1. Anirudh presented the development of exposure models for the ASEAN countries, and Vitor presented GEM’s seismic risk assessment for the same countries. Vitor and Anirudh also presented fragility and vulnerability models for the ASEAN countries with a focus on Indonesia, the Philippines, and Thailand. Colleagues from Singapore, Lao PDR, Malaysia, Indonesia, Vietnam, Thailand, and the Philippines participated in the two-day event. The NATCAT risks workshops aimed to share and improve on Asia’s catastrophe insurance and reinsurance through data exchange; and how the ASEAN Disaster Risk Financing and Insurance – Phase 2 (ADRFI-2) program can help equip Member States with risk management and risk transfer capabilities that will enable them to overcome financial burdens caused by disasters. ( asean.org ) No images found. GALLERY Anirudh Rao presents the Myanmar residential exposure model. Vitor Silva presents the exposure model for Southeast Asia against seimic hazard. Robin Gee presents the seismic hazard for PRD region, China. Anirudh Rao presents the Myanmar residential exposure model. 1/5 VIDEO RELATED CONTENTS

Country model to assess potential financial losses to commercial, industrial and residential buildings due to earthquakes Project Name Products Colombia Financial Loss Model Country model to assess potential financial losses to commercial, industrial and residential buildings due to earthquakes Share Facebook LinkedIn Description The GEM Colombia model is based upon GEM’s regional model for South America first developed from 2013 to 2015 within the South America Risk Assessment (SARA) project funded by the Swiss Re Foundation and updated in 2018. The development process involved dozens of local scientists and engineers from earthquake-prone countries in South America, resulting in an open product for analyzing ground-up loss from ground shaking for residential, commercial, and industrial buildings. This model has been further improved with local information, such as local construction practices, replacement costs and level of enforcement of the seismic regulations. Further technical information can be found in the documentation. GEM extensively collaborated with its private and public partners to test and validate the model against industry standards in order to produce a new model that represents GEM’s view of risk. The model is available in Oasis and Touchstone formats, as well as through the NASDAQ platform. How to cite this work N.A. Available Versions The latest version (v2021) created by GEM can be requested by clicking on the "License Request", where a specific license will be provided, depending on the use case. The model is also available through NASDAQ and Verisk by clicking on the links in the right panel. License information Currently, the model is only available under a restricted license that has to be tailored for each specific use case. Share License Custom license Available resources NASDAQ Access Verisk Access Documentation License Request Facebook LinkedIn text Map View Search Popup title Close Country/Region Available Resources Afghanistan Exposure Africa Exposure Alaska Exposure Albania Exposure Algeria Exposure American Samoa Exposure Andorra Exposure Angola Exposure Anguilla Exposure Antigua and Barbuda Exposure Arabia Exposure Argentina Exposure Armenia Exposure Aruba Exposure Australia Exposure Austria Exposure Azerbaijan Exposure Bahamas Exposure Bahrain Exposure Bangladesh Exposure Barbados Exposure Belarus Exposure Belgium Exposure Belize Exposure Benin Exposure Bhutan Exposure Bolivia Exposure Bosnia and Herzegovina Exposure Botswana Exposure Brazil Exposure British Virgin Islands Exposure Brunei Exposure Bulgaria Exposure Burkina Faso Exposure Burundi Exposure Cambodia Exposure Cameroon Exposure Canada Exposure Cape Verde Exposure Caribbean Central America Exposure Cayman Islands Exposure Central African 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Exposure North Africa Exposure North America Exposure North Asia Exposure North Korea Exposure North Macedonia Exposure North and South Korea Exposure Northeast Asia Exposure Northern Mariana Islands Exposure Northwest Asia Exposure Norway Exposure Oceania Exposure Oman Exposure Pacific Islands Exposure Pakistan Exposure Palau Exposure Palestine Exposure Panama Exposure Papua New Guinea Exposure Paraguay Exposure Peru Exposure Philippines Exposure Poland Exposure Portugal Exposure Puerto Rico Exposure Qatar Exposure Romania Exposure Russia Exposure Rwanda Exposure Saint Kitts and Nevis Exposure Saint Lucia Exposure Saint Vincent and the Grenadines Exposure Samoa Exposure Sao Tome and Principe Exposure Saudi Arabia Exposure Senegal Exposure Serbia Exposure Seychelles Exposure Sierra Leone Exposure Singapore Exposure Slovakia Exposure Slovenia Exposure Solomon Islands Exposure Somalia Exposure South Africa Exposure South America Exposure South Asia Exposure South Korea Exposure Country/Region Available Resources Afghanistan Vulnerability Africa Vulnerability Alaska Vulnerability Albania Vulnerability Algeria Vulnerability American Samoa Vulnerability Andorra Vulnerability Angola Vulnerability Anguilla Vulnerability Antigua and Barbuda Vulnerability Arabia Vulnerability Argentina Vulnerability Armenia Vulnerability Aruba Vulnerability Australia Vulnerability Austria Vulnerability Azerbaijan Vulnerability Bahamas Vulnerability Bahrain Vulnerability Bangladesh Vulnerability Barbados Vulnerability Belarus Vulnerability Belgium Vulnerability Belize Vulnerability Benin Vulnerability Bhutan Vulnerability Bolivia Vulnerability Bosnia and Herzegovina Vulnerability Botswana Vulnerability Brazil Vulnerability British Virgin Islands Vulnerability Brunei Vulnerability Bulgaria Vulnerability Burkina Faso Vulnerability Burundi Vulnerability Cambodia Vulnerability Cameroon Vulnerability Canada Vulnerability Cape Verde Vulnerability Caribbean Central America Vulnerability 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Vulnerability Palau Vulnerability Palestine Vulnerability Panama Vulnerability Papua New Guinea Vulnerability Paraguay Vulnerability Peru Vulnerability Philippines Vulnerability Poland Vulnerability Portugal Vulnerability Puerto Rico Vulnerability Qatar Vulnerability Romania Vulnerability Russia Vulnerability Rwanda Vulnerability Saint Kitts and Nevis Vulnerability Saint Lucia Vulnerability Saint Vincent and the Grenadines Vulnerability Samoa Vulnerability Sao Tome and Principe Vulnerability Saudi Arabia Vulnerability Senegal Vulnerability Serbia Vulnerability Seychelles Vulnerability Sierra Leone Vulnerability Singapore Vulnerability Slovakia Vulnerability Slovenia Vulnerability Solomon Islands Vulnerability Somalia Vulnerability South Africa Vulnerability South America Vulnerability South Asia Vulnerability South Korea Vulnerability Country/Region Resource Url Afghanistan Risk Profile Africa Risk Profile Alaska Risk Profile Albania Risk Profile Algeria Risk Profile American Samoa Risk Profile Andorra Risk Profile Angola Risk Profile Anguilla Risk Profile Antigua and Barbuda Risk Profile Arabia Risk Profile Argentina Risk Profile Armenia Risk Profile Aruba Risk Profile Australia Risk Profile Austria Risk Profile Azerbaijan Risk Profile Bahamas Risk Profile Bahrain Risk Profile Bangladesh Risk Profile Barbados Risk Profile Belarus Risk Profile Belgium Risk Profile Belize Risk Profile Benin Risk Profile Bhutan Risk Profile Bolivia Risk Profile Bosnia and Herzegovina Risk Profile Botswana Risk Profile Brazil Risk Profile British Virgin Islands Risk Profile Brunei Risk Profile Bulgaria Risk Profile Burkina Faso Risk Profile Burundi Risk Profile Cambodia Risk Profile Cameroon Risk Profile Canada Risk Profile Cape Verde Risk Profile Caribbean Central America Risk Profile Cayman Islands Risk Profile Central African Republic Risk Profile Central Asia Risk Profile Chad Risk Profile Chile Risk Profile China Risk Profile Colombia Risk Profile Comoros Risk Profile Congo Risk Profile Conterminous US Risk Profile Cook Islands Risk Profile Costa Rica Risk Profile Croatia Risk Profile Cuba Risk Profile Cyprus Risk Profile Czechia Risk Profile Democratic Republic of the Congo Risk Profile Denmark Risk Profile Djibouti Risk Profile Dominica Risk Profile Dominican Republic Risk Profile East Asia Risk Profile Ecuador Risk Profile Egypt Risk Profile El Salvador Risk Profile Equatorial Guinea Risk Profile Eritrea Risk Profile Estonia Risk Profile Eswatini Risk Profile Ethiopia Risk Profile Europe Risk Profile Fiji Risk Profile Finland Risk Profile France Risk Profile French Guiana Risk Profile Gabon Risk Profile Gambia Risk Profile Georgia Risk Profile Germany Risk Profile Ghana Risk Profile Gibraltar Risk Profile Greece Risk Profile Grenada Risk Profile Guadeloupe Risk Profile Guam Risk Profile Guatemala Risk Profile Guinea Risk Profile Guinea Bissau Risk Profile Guyana Risk Profile Haiti Risk Profile Hawaii Risk Profile Honduras Risk Profile Hong Kong Risk Profile Hungary Risk Profile Iceland Risk Profile India Risk Profile Indonesia Risk Profile Iran Risk Profile Iraq Risk Profile Ireland Risk Profile Isle of Man Risk Profile Israel Risk Profile Italy Risk Profile Ivory Coast Risk Profile Jamaica Risk Profile Japan Risk Profile Jordan Risk Profile Kazakhstan Risk Profile Kenya Risk Profile Kiribati Risk Profile Kosovo Risk Profile Kuwait Risk Profile Kyrgyzstan Risk Profile Laos Risk Profile Latvia Risk Profile Lebanon Risk Profile Lesotho Risk Profile Liberia Risk Profile Libya Risk Profile Liechtenstein Risk Profile Lithuania Risk Profile Luxembourg Risk Profile Macao Risk Profile Madagascar Risk Profile Malawi Risk Profile Malaysia Risk Profile Mali Risk Profile Malta Risk Profile Marshall Islands Risk Profile Martinique Risk Profile Mauritania Risk Profile Mauritius Risk Profile Mexico Risk Profile Micronesia Risk Profile Middle East Risk Profile Moldova Risk Profile Monaco Risk Profile Mongolia Risk Profile Montenegro Risk Profile Montserrat Risk Profile Morocco Risk Profile Mozambique Risk Profile Myanmar Risk Profile Namibia Risk Profile Nauru Risk Profile Nepal Risk Profile Netherlands Risk Profile New Caledonia Risk Profile New Zealand Risk Profile Nicaragua Risk Profile Niger Risk Profile Nigeria Risk Profile Niue Risk Profile North Africa Risk Profile North America Risk Profile North Asia Risk Profile North Korea Risk Profile North Macedonia Risk Profile North and South Korea Risk Profile Northeast Asia Risk Profile Northern Mariana Islands Risk Profile Northwest Asia Risk Profile Norway Risk Profile Oceania Risk Profile Oman Risk Profile Pacific Islands Risk Profile Pakistan Risk Profile Palau Risk Profile Palestine Risk Profile Panama Risk Profile Papua New Guinea Risk Profile Paraguay Risk Profile Peru Risk Profile Philippines Risk Profile Poland Risk Profile Portugal Risk Profile Puerto Rico Risk Profile Qatar Risk Profile Romania Risk Profile Russia Risk Profile Rwanda Risk Profile Saint Kitts and Nevis Risk Profile Saint Lucia Risk Profile Saint Vincent and the Grenadines Risk Profile Samoa Risk Profile Sao Tome and Principe Risk Profile Saudi Arabia Risk Profile Senegal Risk Profile Serbia Risk Profile Seychelles Risk Profile Sierra Leone Risk Profile Singapore Risk Profile Slovakia Risk Profile Slovenia Risk Profile Solomon Islands Risk Profile Somalia Risk Profile South Africa Risk Profile South America Risk Profile South Asia Risk Profile South Korea Risk Profile Search Found Country/Region Resource Url Afghanistan Exposure Africa Exposure Alaska Exposure Albania Exposure Algeria Exposure American Samoa Exposure Andorra Exposure Angola Exposure Anguilla Exposure Antigua and Barbuda Exposure Arabia Exposure Argentina Exposure Armenia Exposure Aruba Exposure Australia Exposure Austria Exposure Azerbaijan Exposure Bahamas Exposure Bahrain Exposure Bangladesh Exposure Barbados Exposure Belarus Exposure Belgium Exposure Belize Exposure Benin Exposure Bhutan Exposure Bolivia Exposure Bosnia and Herzegovina Exposure Botswana Exposure Brazil Exposure British Virgin Islands Exposure Brunei Exposure Bulgaria Exposure Burkina Faso Exposure Burundi Exposure Cambodia Exposure Cameroon Exposure Canada Exposure Cape Verde Exposure Caribbean Central America Exposure Cayman Islands Exposure Central African Republic Exposure Central Asia Exposure Chad Exposure Chile Exposure China Exposure Colombia Exposure Comoros Exposure Congo Exposure Conterminous US Exposure Cook Islands Exposure Costa Rica Exposure Croatia Exposure Cuba Exposure Cyprus Exposure Czechia Exposure Democratic Republic of the Congo Exposure Denmark Exposure Djibouti Exposure Dominica Exposure Dominican Republic Exposure East Asia Exposure Ecuador Exposure Egypt Exposure El Salvador Exposure Equatorial Guinea Exposure Eritrea Exposure Estonia Exposure Eswatini Exposure Ethiopia Exposure Europe Exposure Fiji Exposure Finland Exposure France Exposure French Guiana Exposure Gabon Exposure Gambia Exposure Georgia Exposure Germany Exposure Ghana Exposure Gibraltar Exposure Greece Exposure Grenada Exposure Guadeloupe Exposure Guam Exposure Guatemala Exposure Guinea Exposure Guinea Bissau Exposure Guyana Exposure Haiti Exposure Hawaii Exposure Honduras Exposure Hong Kong Exposure Hungary Exposure Iceland Exposure India Exposure Indonesia Exposure Iran Exposure Iraq Exposure Ireland Exposure Isle of Man Exposure Israel Exposure Italy Exposure Ivory Coast Exposure Jamaica Exposure Japan Exposure Jordan Exposure Kazakhstan Exposure Kenya Exposure Kiribati Exposure Kosovo Exposure Kuwait Exposure Kyrgyzstan Exposure Laos Exposure Latvia Exposure Lebanon Exposure Lesotho Exposure Liberia Exposure Libya Exposure Liechtenstein Exposure Lithuania Exposure Luxembourg Exposure Macao Exposure Madagascar Exposure Malawi Exposure Malaysia Exposure Mali Exposure Malta Exposure Marshall Islands Exposure Martinique Exposure Mauritania Exposure Mauritius Exposure Mexico Exposure Micronesia Exposure Middle East Exposure Moldova Exposure Monaco Exposure Mongolia Exposure Montenegro Exposure Montserrat Exposure Morocco Exposure Mozambique Exposure Myanmar Exposure Namibia Exposure Nauru Exposure Nepal Exposure Netherlands Exposure New Caledonia Exposure New Zealand Exposure Nicaragua Exposure Niger Exposure Nigeria Exposure Niue Exposure North Africa Exposure North America Exposure North Asia Exposure North Korea Exposure North Macedonia Exposure North and South Korea Exposure Northeast Asia Exposure Northern Mariana Islands Exposure Northwest Asia Exposure Norway Exposure Oceania Exposure Oman Exposure Pacific Islands Exposure Pakistan Exposure Palau Exposure Palestine Exposure Panama Exposure Papua New Guinea Exposure Paraguay Exposure Peru Exposure Philippines Exposure Poland Exposure Portugal Exposure Puerto Rico Exposure Qatar Exposure Romania Exposure Russia Exposure Rwanda Exposure Saint Kitts and Nevis Exposure Saint Lucia Exposure Saint Vincent and the Grenadines Exposure Samoa Exposure Sao Tome and Principe Exposure Saudi Arabia Exposure Senegal Exposure Serbia Exposure Seychelles Exposure Sierra Leone Exposure Singapore Exposure Slovakia Exposure Slovenia Exposure Solomon Islands Exposure Somalia Exposure South Africa Exposure South America Exposure South Asia Exposure South Korea Exposure Preview Preview is not available. 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News USGS presentation by GEM’s Vitor Silva: Annual Risk Community of Practice Meeting By: Sep 21, 2020 Share Facebook LinkedIn USGS office Vitor Silva recently participated in the virtual USGS Annual Risk Community of Practice Meeting to share his experiences at GEM on the meaning of risk analysis, how it is done, and what it looks like in the end. Vitor was joined by three other Risk Analysis panel speakers - Robyn Wilson of Ohio State University who discussed the development of strategic communication efforts, and the design of decision support tools that assist individuals in making more informed choices; Megan Linkin of Swiss Re who discussed innovative parametric solutions to cover natural catastrophe exposure for a range of client segments, including public sector buyers and large corporates; and Katherine Greig of Flood Re who discussed recovery and resiliency focused on climate change, flood insurance, and building mitigation. The Risk Analysis Panel sessions tackled the tools of the trade, current state of knowledge, processes used in risk analysis, risk analysis in structured decision-making and some examples of products and applications being used for analyzing risks. Vitor shared his experiences in the development of several vulnerability and risk studies at the urban, national and global scale; the assessment of the impact of earthquakes in dozens of regions around the world, and capacity building events he had conducted with the GEM team covering more than 500 participants from more than 60 countries. He also discussed his most recent research that focused on the integration of machine learning in risk analysis, forecasting of earthquake risk into the future and interaction of natural hazards and the ongoing COVID19 pandemic. The Risk Analysis Panel discussions concluded with planning for the next year’s meeting. Topics discussed in three breakout groups ranged from how to effect knowledge transfer as a community; how to facilitate making connections across a virtual space; and what’s needed as a community to build capacity in risk research and applications. Vitor’s full presentation is available . No images found. GALLERY Vitor Silva presenting at a USGS webinar Vitor Silva presenting at a USGS webinar 1/1 Gallery VIDEO RELATED CONTENTS

Publications The OpenQuake Engine Brochure V1 Share Facebook LinkedIn Download 2012 | Brochure The OpenQuake Engine is GEM’s state-of-the-art software for seismic hazard and risk assessment at varying scales of resolution, from global to local. It can be used on a cluster, in the cloud or on a laptop. It is open-source, fully transparent and can be used with GEM or user-developed models to carry out scenario-based and probabilistic calculations and produce a great variety of outputs.