Project Grant G15AP00028

This $175,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports research to develop an AI model for understanding fault dynamics and earthquake hazards in complex fault networks. The project, led by the California Institute of Technology (Caltech), aims to build a multiphysics fault network model to discover reduced-order governing equations for the evolution of stress in fault systems. This work will enable improved assessment of regional...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $650,000 over a 3-year period to the University of Southern California to develop an AI model that can better understand fault dynamics and earthquake hazards in heavily faulted geologic basins. The project builds a multiphysics fault network model to discover reduced-order governing equations for the evolution of stress in complex fault systems, using the Southern Permian Basin in the...

This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $189,438 to The University Corporation at California State University, Northridge will support a two-phase research effort to model the earthquake dynamics of complex thrust fault systems in the Western Transverse Ranges of California. In the first phase, undergraduate student researchers will conduct a series of simulations to determine physics-based rules governing when an earthquake rupture is...

This $310,085 National Science Foundation project grant will fund the development of a unified numerical framework for understanding co-seismic slope failures at complex sites. Funded under the Engineering program (CFDA 47.041), the two-year award made to Virginia Polytechnic Institute & State University will advance the fundamental understanding of earthquake-triggered slope failures and help predict, reduce, and mitigate their destructive consequences. The grantee will develop and validate...

The National Science Foundation (NSF) Directorate for Engineering has awarded a $391,951 Project Grant to The Johns Hopkins University to develop a novel system for rapidly and accurately assessing cascading seismic hazards and impacts using satellite imagery and causal modeling. The project, funded under the NSF Engineering program (CFDA 47.041), aims to integrate satellite data with existing geophysical and structural fragility models to jointly estimate the occurrence and location of...

This $171,824 Project Grant from the National Science Foundation's Geosciences Program (CFDA 47.050) was awarded to the San Jose State University (SJSU) Research Foundation to characterize the geometry and activity of faults making up the San Andreas Fault system in the San Francisco Bay Area. The two-year project, entitled "EMBRACE-EAR-SEED: Transformative Research Experiences in Earthquake Science," will integrate geological field mapping, LiDAR data, and computer modeling to...

The California Department of Conservation was awarded a $366,310.54 Project Grant from the U.S. Geological Survey's Cooperative Landslide Hazard Mapping and Assessment Program (CFDA 15.821) to develop five new or significantly updated landslide hazard awareness publications for various audiences in California. The project period runs from July 1, 2025 to June 30, 2026. The five deliverables include: 1) a "What Are Landslides?" fact sheet, 2) a "Landslide Hazards in...

This $110,662 federal Project Grant award, funded by the U.S. Geological Survey (USGS) under the Earthquake Hazards Program Assistance (CFDA 15.807), aims to develop a framework for continuously updating ground motion prediction equations. The proposed research by Virginia Polytechnic Institute & State University (Virginia Tech) involves collecting and processing seismic data to create physics-based and engineering-based ground motion models, leveraging a Bayesian regression approach to...

This collaborative research project grant of $249,272, awarded January 1, 2026, through December 31, 2028, by the National Science Foundation's Office of Integrative Activities under the Geosciences program (CFDA 47.050), supports the development of physics-based machine learning techniques to generate synthetic earthquake ground motions. The primary deliverable is an Operator Inference (OPINF) model order reduction technique that will create time-dependent parametric surrogate models capable of...

The National Science Foundation awarded a $174,000 two-year Project Grant to researchers at the University of California, Berkeley under the Geosciences program (CFDA 47.050). The grant will support research into the spatiotemporal scales of transient slow slip on the San Andreas Fault near San Juan Bautista, Central California, and the implications for seismic hazard assessment in the region. Specifically, the funding will allow researchers to conduct fieldwork and analyses to better understand...