# Planning: AI-Ready: TRACE: Testbed for Disaster Resilience Auditing and Crisis Evaluation

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · University of Maryland Baltimore County (MD) · $200,000

## 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-Physical Systems (CPS), Internet of Things (IoT), Robotics, and AI/ML technologies. TRACE is designed to assist multidisciplinary search and rescue teams in accelerating mission-critical response and recovery operations in post-disaster scenarios. The project's integrative approach aims to build a scalable, multidimensional, and resilient AI-ready testbed to assess the effects of natural hazards—including fires, earthquakes, floods, hurricanes, and tornadoes—on the built environment (buildings, bridges), infrastructure (roads, utilities), and communities. By combining TRACE with scalable AI/ML algorithms, the project will support community-level disaster resilience through: (i) Characterization of risks and vulnerabilities, (ii) Anticipation of failures and losses, (iii) Data-driven planning and decision-making in partnership with civic agencies. Resilience metrics will be quantified at both system and application levels and reevaluated in terms of community strategies across the five d

## Key facts

- **NSF award ID:** 2509680
- **Awardee organization:** University of Maryland Baltimore County (MD)
- **SAM.gov UEI:** RNKYWXURFRL5
- **PI:** Nirmalya Roy
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** —
- **Estimated total:** $200,000
- **Funds obligated:** $200,000
- **Transaction type:** Standard Grant
- **Period:** 08/15/2025 → 07/31/2027

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2509680

## Citation

> US National Science Foundation, Award 2509680, Planning: AI-Ready: TRACE: Testbed for Disaster Resilience Auditing and Crisis Evaluation. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2509680. Licensed CC0.

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