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 multi-hazard events like ground shaking, landslides, and building damage in near real-time after an earthquake. Key components of the project include: The research will be demonstrated on multiple global earthquake events. The project also includes a $54,789 sub-award to Stanford University to work on the causal modeling and inference aspects. Overall, this NSF-funded project aims to enhance the accuracy, timeliness, and scalability of post-earthquake disaster response and resilience planning through advanced data integration and analysis techniques.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $392.0k | 1/4/24 |
Grant Number | Description | Subgrantee | Prime Award | Dollars Obligated (Click to sort descending) | Updated At (Click to sort ascending) |
|---|---|---|---|---|---|
2006321182S | The Leland Stanford Junior University | Project Grant 2242590 | $276.1k | 1/13/25 |