Publications Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis Share Facebook LinkedIn Download 2025 | Peer-reviewed The Global EarthquakE ScEnarios (GEESE) algorithm retrieves from a seismic hazard input model the ruptures matching a set of criteria (e.g., magnitude, location, focal mechanism). We applied the GEESE algorithm to create a publicly available database (version 1.0) of finite rupture models for past earthquakes which can be used for scenario seismic hazard and risk analysis applications. To this end, we selected earthquakes with a moment magnitude larger than 7.0 and hypocentral depth less than 200 km in the ISC-GEM catalogue (version 10.0) and retrieved the best matching ruptures from the seismic hazard models in the GEM Mosaic. The GEESE algorithm also automatically computes a set of ground-motion fields using each matched rupture, which are also provided in the database. The ability of the GEESE algorithm to test whether a Mosaic model can generate a rupture sufficiently representative of a queried event is a useful means of evaluating the Mosaic model's seismic source characterisation (SSC). Sufficiently matching ruptures are retrieved from the Global Mosaic for 90 percent of the tested ISC-GEM events. The GEESE algorithm can also be used in post-event response analysis to rapidly obtain an initial finite rupture when only minimal event information is initially available. A demonstration of these capabilities of the GEESE algorithm is provided using the 2023 Morocco earthquake, the 1994 Northridge earthquake, and the 2023 Kahramanmaras earthquake.

Publications Automating building typology identification for seismic risk assessment using deep learning Share Facebook LinkedIn Download 2025 | Peer-reviewed Driven by rapid urbanization and heightened seismic risk concerns, efficient methods for developing regional seismic exposure assessments are advantageous. By leveraging deep learning and computer vision techniques, this study presents a novel approach for automating the identification of building typologies. The detailed building stock required for seismic exposure assessment has been traditionally achieved through time-consuming and costly in-person inspections. Recently, virtual inspections have emerged as a more efficient alternative, but they still require significant manual effort. This study proposes a methodology for automating the characterization of buildings, including details such as the number of stories, structural system, and construction period (pre-code or code), by implementing a convolutional neural network model that processes labeled images from Google Street View. A key innovation of this study is the integration of pre-processing techniques, including an object detector to isolate building façades and perspective correction using a keypoint model and homography transformation, enabling robust performance even with a small data set. This research advances prior methods by classifying individual stories rather than grouping them into broad taxonomic ranges, providing greater precision and applicability for seismic exposure modeling. The results show an 88% accuracy for structural system identification, a 78% accuracy for the number of stories, and a 69% accuracy for construction period determination. These characteristics are integrated into a probabilistic distribution model of building taxonomy that informs about their potential seismic vulnerability. The proposed procedures streamline the development of building stock and seismic exposure models, thus facilitating their use for seismic risk modeling at a regional scale.

OPENQUAKE ENGINE CERTIFICATION Promoting global professional standards in seismic hazard and risk modelling and building a community of certified OpenQuake Engine users committed to transparency and collaboration. OQ-engine Certified User badge Share Facebook LinkedIn Certification Information Certified OQ Users List Who it’s for At present, the certification programme is for analysts, researchers, modellers, engineers and DRR practitioners who run scenario analyses with the OpenQuake Engine and need a recognised, skills-based credential. Additional certification tracks (e.g., hazard-PSHA, risk-PSRA) are planned. This webpage will list timelines and any updates. Current pathway Certification is currently available through the annual GEM-EGU Summer School in Aveiro, Portugal (launched 2025) and the GEM course offered as part of the ROSE Masters and PhD programmes at the IUSS Pavia, Italy. Online options are planned and may be introduced if there is sufficient demand in the future. Contact us if you are interested in a remote certification option. Contact Us How certification works (step-by-step) 1. Enrol/Register in one of the two approved courses mentioned above 2. Complete the course and take the assessment test. The assessment has two parts: a. Knowledge check – short questions on input models, scenario hazard and risk concepts and OQ calculators. b. Practical task – build and run an OQ scenario; submit inputs, config, logs, and outputs (damage/loss maps/tables). 3. Evaluation and result Submissions are marked against a published rubric (correctness, reproducibility, interpretation, communication). Candidates meeting the competency threshold are awarded certification. 4. Credential and validity Successful candidates receive a digital certificate and badge, valid for three (3) years. 5. Directory and verification (Opt-in) Appear in GEM’s public registry of certified OQ users; organisations can verify certificates via a unique ID or through LinkedIn’s Certifications and Licenses. 6. Recertification Before expiry, renew by either: a. completing a short recertification exercise/quiz; b. demonstrating continuing professional development (e.g., attendance to OQ training workshops/webinars) plus a brief competency check. c. attend again one of the certification courses. Full details will be posted on this webpage soon. What you’ll be certified to do Configure and run OpenQuake Engine scenario analyses (covering ground shaking and earthquake-triggered liquefaction and landslide hazards, as well as damage and loss metrics). Create reproducible outputs (maps/tables) and explain input models, assumptions, and limitations to decision-makers. OpenQuake Engine Certified Users This section will feature the list of individuals who have completed the OpenQuake Certification Programme for Scenario Analyses. Each certified user has demonstrated competence in running and interpreting scenario risk analyses using the OpenQuake Engine. The list is currently under construction and will be updated as new certifications are awarded. List of Certified OpenQuake Engine Users Name Certification Track Status Completed Course Alexander Koelzer Scenario Assessment Valid EGU-GEM Summer School Alexandru Tiganescu Scenario Assessment Valid EGU-GEM Summer School Annisa Rizqilana Scenario Assessment Valid EGU-GEM Summer School Atefe Darzi Scenario Assessment Valid EGU-GEM Summer School Aurora Lambiasse Scenario Assessment Valid EGU-GEM Summer School Binaya Kumar Lamichhane Scenario Assessment Valid EGU-GEM Summer School Daniel Alejandro Caicedo Diaz Scenario Assessment Valid EGU-GEM Summer School Daniel Dreier Scenario Assessment Valid EGU-GEM Summer School Daniel Tomic Scenario Assessment Valid EGU-GEM Summer School Houda Delleci Scenario Assessment Valid EGU-GEM Summer School Jarod Domenge Scenario Assessment Valid EGU-GEM Summer School Khatereh Saghatforoush Scenario Assessment Valid EGU-GEM Summer School Maaike Fonteijn Scenario Assessment Valid EGU-GEM Summer School Octavi Gómez Novell Scenario Assessment Valid EGU-GEM Summer School Rachel Preca Trapani Scenario Assessment Valid EGU-GEM Summer School S Vishal Gupta Scenario Assessment Valid EGU-GEM Summer School Abdelhamid Allaoui Scenario Assessment Valid EGU-GEM Summer School

OpenQuake Engine certified user page This is to certify that Atefe Darzi has successfully completed the requirements to become a Certified OpenQuake Engine User for Scenario Assessment demonstrating the required knowledge and skills as assessed by the Global Earthquake Model (GEM) Foundation. GEM Foundation Secretary General Helen Crowley (signed) Date of Completion: Valid until: September 12, 2025 September 11, 2028

OpenQuake Engine certified user page This is to certify that Daniel Tomic has successfully completed the requirements to become a Certified OpenQuake Engine User for Scenario Assessment demonstrating the required knowledge and skills as assessed by the Global Earthquake Model (GEM) Foundation. GEM Foundation Secretary General Helen Crowley (signed) Date of Completion: Valid until: September 12, 2025 September 11, 2028

OpenQuake Engine certified user page This is to certify that Alexander Koelzer has successfully completed the requirements to become a Certified OpenQuake Engine User for Scenario Assessment demonstrating the required knowledge and skills as assessed by the Global Earthquake Model (GEM) Foundation. GEM Foundation Secretary General Helen Crowley (signed) Date of Completion: Valid until: September 12, 2025 September 11, 2028

OpenQuake Engine certified user page This is to certify that Daniel Alejandro Caicedo Diaz has successfully completed the requirements to become a Certified OpenQuake Engine User for Scenario Assessment demonstrating the required knowledge and skills as assessed by the Global Earthquake Model (GEM) Foundation. GEM Foundation Secretary General Helen Crowley (signed) Date of Completion: Valid until: September 12, 2025 September 11, 2028

OpenQuake Engine certified user page This is to certify that Binaya Kumar Lamichhane has successfully completed the requirements to become a Certified OpenQuake Engine User for Scenario Assessment demonstrating the required knowledge and skills as assessed by the Global Earthquake Model (GEM) Foundation. GEM Foundation Secretary General Helen Crowley (signed) Date of Completion: Valid until: September 12, 2025 September 11, 2028

OpenQuake Engine certified user page This is to certify that Rachel Preca Trapani has successfully completed the requirements to become a Certified OpenQuake Engine User for Scenario Assessment demonstrating the required knowledge and skills as assessed by the Global Earthquake Model (GEM) Foundation. GEM Foundation Secretary General Helen Crowley (signed) Date of Completion: Valid until: September 12, 2025 September 11, 2028

OpenQuake Engine certified user page This is to certify that Maaike Fonteijn has successfully completed the requirements to become a Certified OpenQuake Engine User for Scenario Assessment demonstrating the required knowledge and skills as assessed by the Global Earthquake Model (GEM) Foundation. GEM Foundation Secretary General Helen Crowley (signed) Date of Completion: Valid until: September 12, 2025 September 11, 2028