Planning: AI-Ready: TRACE: Testbed for Disaster Resilience Auditing and Crisis Evaluation — NSF Award to University of Maryland Ba
The increasing frequency and severity of natural disasters—such as forest fires, earthquakes, snowstorms, tornadoes, and hurricanes—are significantly impacting U.S. cities and coastal communities, displacing thousands of people and incurring billions of dollars in government spending. To address these growing challenge
| Award title | Planning: AI-Ready: TRACE: Testbed for Disaster Resilience Auditing and Crisis Evaluation |
|---|---|
| Award ID | 2509680 |
| Awardee | University of Maryland Baltimore County |
| City | BALTIMORE |
| State | MD |
| Amount obligated | $200,000 |
| Principal investigator | Nirmalya Roy |
| Program | TIP-CHIPS KTA-1 AI-ML |
| Start date | 08/15/2025 |
| Abstract | The increasing frequency and severity of natural disasters—such as forest fires, earthquakes, snowstorms, tornadoes, and hurricanes—are significantly impacting U.S. cities and coastal communities, displacing thousands of people and incurring billions of dollars in government spending. To address these growing challenges, this project proposes the development of TRACE (Testbed for Disaster Resilience Auditing and Crisis Evaluation), an innovative cross-cutting platform integrating Social Cyber-Ph |
| Source | NSF Awards |
$799/mo
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