W26 GIRS Seminars: Harmonizing Autonomous Vehicle Safety Performance: A Standardized Oversight Framework for Local Governance
/Thursday, January 29, 2026 at 1:00pm PT
Read MoreThursday, January 29, 2026 at 1:00pm PT
Read MoreWhen: Thursday, January 29, 2026 at 6:00pm PT
Where: UCLA Tannas Alumni Suite (Engineering 6 BLDG, 1st Floor)
Anthony— welcome to the Garrick Institute!
Read MoreRisk Institute faculty demonstrate how data is collected to support long-term monitoring and inform models for post-wildfire hydrology, sediment movement and infrastructure resilience.
Read MoreThursday, December 04, 2025 at 12:00pm PT
Read MoreYuying— welcome to the Garrick Institute!
Read MoreThursday, November 20, 2025 at 1:00pm PT
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A recent paper developed through the (Fault Displacement Hazard Initiative) research program, led by (Professor Yousef Bozorgnia), has been selected as the Editor’s Choice for the November 2025 issue of Earthquake Spectra, the premier journal in earthquake engineering.
The paper, authored by Alex Sarmiento in collaboration with members of the Fault Displacement Hazard Initiative, is titled “Comparisons of FDHI fault displacement models for principal and aggregate displacement.” It presents a comprehensive summary and comparison of a set of new fault displacement models to support practitioners applying the new models. This recognition highlights the impactful research being carried out by the Natural Hazards Risk and Resiliency Research Center.
The paper is available with free public access throughout November 2025 as part of the Earthquake Spectra Editor’s Choice Collection:
Thursday, November 06, 2025 at 1:00pm PT
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Ekaterina Chizhevskaya via UCLA Newsroom
Risk Institute researchers join more than 100 engineers, utility leaders, scientists, and public officials to collaborate on innovative strategies and technologies that can build more resilient infrastructure, recognizing the challenges of climate and disaster risks. Complete article available at UCLA NEWSROOM.
Dr. Tingting Cheng— your Risk Institute family is proud and we will be rooting for you on November 12, 2025.
Read MoreDr. Cheng presented on HRA at PSA 2025 in Chicago, Illinois.
Read MoreThursday, October 23, 2025 at 1:00pm PT
Read MoreDr. Sertel— welcome to the Garrick Institute!
Read MoreAvailable for download now!
Read MoreCongrats Professor Stewart!
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The relationship between California’s IOU and wildfire risk is bidirectional. In one direction, wildfires pose a direct threat to electric infrastructure, which is often located in high-risk zones. These events can significantly reduce the reliability of the electric grid and dramatically increase operational costs, ultimately resulting in higher rates for consumers. In the other direction, electric infrastructure itself can be a significant source of wildfire risk for the surrounding environment. Equipment failures in the electric network or its interaction with nearby vegetation can cause ignitions, which in turn can function as originating events for catastrophic wildfires.
As a response to these events, electric IOUs operating in California are mandated to develop and submit Wildfire Mitigation Plans (WMPs), outlining strategies to assess, quantify, and mitigate wildfire risks associated with utility operations. However, implementing these mitigation measures, many of which involve expensive retrofitting programs, has significantly increased costs for consumers raising concerns about affordability and ratepayer burden. Consequently, high-cost grid expansion and mitigation projects, whose effects on wildfire risk will extend many years into the future, should be evaluated with consideration of long-term climate trends that may impact the service territory.
The core deliverable of this proposal is an open-source software platform that will enable California IOUs to efficiently quantify and manage mid- and long-term wildfire risk in a bidirectional manner. For this, the platform will consist of three core modules, integrated to enable all the data and analytical capabilities proposed in the project.
Module #1: Cloud architecture environment, optimized to serve geospatial data produced by the California’s Fifth Assessment and the Pyregence Consortium through solicitation EPC 18-206, in addition to other datasets generated as a result of this Agreement.
Module #2: State-of-the-art data-driven modules, to estimate wildfire risk posed by the environment to the electrical utility and by the utility to the environment and society.
Module #3: User interface, to enable the interaction between the user and the first two components, in addition to the easy incorporation of user-defined models into the application.
The project aims to enhance IOUs' wildfire risk quantification and management capabilities, particularly over mid- and long-term timeframes, to support accurate evaluation of grid expansion and mitigation projects. Additionally, the project also aims to expand access to geospatial data produced by California's Fifth Assessment and the Pyregence Consortium through the development of a scalable, cloud-optimized data architecture. This will generate benefits for ratepayers in terms of increased safety, lower costs, and greater operational reliability. Multiple objectives are set in place:
Engage with key stakeholders through multiple instances to understand their needs, requirements, and technological barriers within their own infrastructures.
Evaluate the benefits of the project using quantifiable metrics. While the primary focus is on benefits for ratepayers, the project’s team will also measure and deliver value to other key stakeholders.
Design and implement an open-source cloud infrastructure capable of serving optimized geospatial data derived from California’s Fifth Assessment and the Pyregence Consortium.
Develop several data-driven models, incorporating state-of-the-art approaches, to quantify wildfire probability and consequence following a bidirectional conception of risk.
Develop and implement an easy-to-use, open-source user interface that allows users to access, interact, and customize the developed analytics methods for decision support and wildfire risk management capabilities.
Provide extensive documentation about all the products of the project, enabling utilities and other interested stakeholders to use the platform, as well as modify and integrate it into their own digital infrastructure.
The research will improve earthquake hazard characterization and seismic risk analysis of transportation structures, particularly bridges.
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