Award Abstract # 2227467
BRITE Fellow: A New Paradigm of Equitable and Smart Multi-Hazard Resilience Modeling (ENSURE)

NSF Org: CMMI
Division of Civil, Mechanical, and Manufacturing Innovation
Recipient: WILLIAM MARSH RICE UNIVERSITY
Initial Amendment Date: December 2, 2022
Latest Amendment Date: December 2, 2022
Award Number: 2227467
Award Instrument: Standard Grant
Program Manager: Giovanna Biscontin
gibiscon@nsf.gov
 (703)292-2339
CMMI
 Division of Civil, Mechanical, and Manufacturing Innovation
ENG
 Directorate for Engineering
Start Date: March 1, 2023
End Date: February 29, 2028 (Estimated)
Total Intended Award Amount: $999,944.00
Total Awarded Amount to Date: $999,944.00
Funds Obligated to Date: FY 2023 = $999,944.00
History of Investigator:
  • Jamie Padgett (Principal Investigator)
    jamie.padgett@rice.edu
Recipient Sponsored Research Office: William Marsh Rice University
6100 MAIN ST
Houston
TX  US  77005-1827
(713)348-4820
Sponsor Congressional District: 09
Primary Place of Performance: William Marsh Rice University
6100 MAIN ST
Houston
TX  US  77005-1827
Primary Place of Performance
Congressional District:
09
Unique Entity Identifier (UEI): K51LECU1G8N3
Parent UEI:
NSF Program(s): BRITE-BoostRschIdeasTransEquit
Primary Program Source: 01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 036E, 041E, 042E, 1057, 9102, CVIS
Program Element Code(s): 192Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

This Boosting Research Ideas for Transformative and Equitable Advances in Engineering (BRITE) Fellow project seeks to disrupt and transform the way we model infrastructure resilience and support just investments in infrastructure. Reliable, effective functioning of infrastructure during and following hazard events, like earthquakes, hurricanes, and floods, is essential to public safety, economic vitality and quality of life. Risk-informed decisions that promote resilience (or the ability of infrastructure to withstand, adapt to and recover from such stressors) require confident predictions of system performance now and into the future. However, this future brings uncertainties regarding dynamic, evolving conditions; challenges with respect to a legacy of disparate impacts of natural hazards and infrastructure (under)investment; and opportunities related to smart systems and emerging data and algorithms. The new paradigm of Equitable and Smart Multi-Hazard Resilience Modeling (ENSURE) provides the methodological advances and contextual fabric for transforming infrastructure resilience modeling to a practice that is both smart and equitable. Resulting benchmarks and opensource tools not only propel research advances in this field, but can benefit society through improved infrastructure safety and socially equitable quality of service in hazard-prone regions.

The specific goals of this project are to: 1) Infuse intelligence into resilience modeling (i.e., emerging data from smart systems and intelligent algorithms) to capture uncertain, evolving conditions. 2) Uncover and overcome inequities in data and algorithms that underpin such resilience quantification, essential to inform just resilience enhancement. 3) Design and disseminate benchmark studies across hazards, systems, and scales to evaluate the new paradigm of Equitable and Smart Multi-Hazard Resilience Modeling (ENSURE). 4) Facilitate community-engaged learning and implementation of ENSURE with a diverse team of students and community partners, while having a lasting impact on student training and broadening participation. 5) Initiate a virtual community of practice (VCoP) to support networking, exchange, and mentoring related to advancement of female faculty in the resilience modeling field. Overall, this high-risk, high-reward pursuit formulates a new infrastructure resilience modeling framework that can, for the first time, evolve with dynamic, uncertain conditions while uniquely targeting socially equitable data collection and model performance. New strategies will be posed to quantify and overcome the disparities not only in resilient infrastructure performance across socially vulnerably populations, but also inequities in our ability confidently predict this performance and support just interventions.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Padgett, J_E and Rincon, R. and Panakkal, P. "Future cities demand smart and equitable infrastructure resilience modeling perspectives" npj Natural Hazards , v.1 , 2024 https://doi.org/10.1038/s44304-024-00028-5 Citation Details
Panakkal, Pranavesh and Padgett, Jamie Ellen "More eyes on the road: Sensing flooded roads by fusing real-time observations from public data sources" Reliability Engineering & System Safety , v.251 , 2024 https://doi.org/10.1016/j.ress.2024.110368 Citation Details
Rincon, Raul and Padgett, Jamie_Ellen "Fragility modeling practices and their implications on risk and resilience analysis: From the structure to the network scale" Earthquake Spectra , v.40 , 2024 https://doi.org/10.1177/87552930231219220 Citation Details

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