Award Abstract # 2052930
Focused CoPe: Fundamental research to inform holistic decision-making for historically underrepresented communities impacted by coastal hazards

NSF Org: RISE
Integrative and Collaborative Education and Research (ICER)
Recipient: TEXAS A&M ENGINEERING EXPERIMENT STATION
Initial Amendment Date: August 17, 2021
Latest Amendment Date: November 22, 2024
Award Number: 2052930
Award Instrument: Standard Grant
Program Manager: Manda S. Adams
amadams@nsf.gov
 (703)292-4708
RISE
 Integrative and Collaborative Education and Research (ICER)
GEO
 Directorate for Geosciences
Start Date: August 15, 2021
End Date: December 31, 2026 (Estimated)
Total Intended Award Amount: $4,159,480.00
Total Awarded Amount to Date: $4,200,385.00
Funds Obligated to Date: FY 2021 = $4,159,480.00
FY 2023 = $40,905.00
History of Investigator:
  • Maria Koliou (Principal Investigator)
    maria.koliou@tamu.edu
  • Anand Puppala (Co-Principal Investigator)
  • James Kaihatu (Co-Principal Investigator)
  • Petros Sideris (Co-Principal Investigator)
  • Siyu Yu (Co-Principal Investigator)
Recipient Sponsored Research Office: Texas A&M Engineering Experiment Station
3124 TAMU
COLLEGE STATION
TX  US  77843-3124
(979)862-6777
Sponsor Congressional District: 10
Primary Place of Performance: Texas A&M Engineering Experiment Station
3136 TAMU
College Station
TX  US  77843-3136
Primary Place of Performance
Congressional District:
10
Unique Entity Identifier (UEI): QD1MX6N5YTN4
Parent UEI: QD1MX6N5YTN4
NSF Program(s): SSA-Special Studies & Analysis,
SPECIAL EMPHASIS PROGRAM,
CoPe-Coastlines and People
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
01002324DB NSF RESEARCH & RELATED ACTIVIT

4082CYXXDB NSF TRUST FUND
Program Reference Code(s): 4444
Program Element Code(s): 138500, 061900, 097Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

Coastal communities increasingly experience disasters due to a combination of acute and chronic hazards, including hurricanes, tsunamis, coastal storm surges, flooding, sea level rise and erosion. Enhancing community resilience to these hazards requires planning and effective use of community resources, but also new knowledge on the dynamic interplay among coastal hazards, built environment, geodemographics, and social as well as cultural factors. Particularly at risk are tribal communities along the Northern Gulf Coast, from Texas to Florida, that face similar risks as non-tribal coastal communities do but are also confronted with additional risks such as multi-hazard damages or entire loss of historical properties/sites and cultural heritage, as well as their autonomous areas that may host cultural rituals or grow traditional environmental products needed for economic and cultural traditions. This project will inform the creation of science- and evidence-based decision-making strategies and future hazard mitigation plans for marginalized communities that will be readily implementable to Northern Gulf Coast tribal communities. The research outcomes are expected to be both transferable to other locations and scalable. Through an integrative and convergent research approach, this Hub will establish an interdisciplinary framework to quantify the interdependence among coastal hazards, built environment, geodemographics, and social and cultural factors, thus informing holistic decision-making aimed at minimizing the socio-economic impact of coastal hazards to historically underrepresented communities. This project, via community events, surveys, roundtables and discussion forums, will identify critical community needs, priorities, and concerns, determine key issues, co-collect data and solicit expertise, co-develop and refine research and create evaluation metrics. This framework will be validated with empirical data collected from tribal communities in the Northern Gulf Coast and cultural preservation sites through engaged research and experiential drills in order to understand, assess, measure, and enhance resilience. The proposed research will result in a diverse set of models and decision-making tools for measuring Coastal Hazards Impact, Infrastructure Damages, Evacuation Performance, and Social Vulnerability which will all be integrated through engaged participatory research into a community resource to evaluate and optimize various adaptation and mitigation strategies and prioritize policy levers. This project will develop an engagement program to support a pipeline for high school students from tribal communities into and through graduate school.

This project will achieve a novel transdisciplinary integration of anthropology, archeology, urban planning and engineering disciplines via community engaged research. In doing so, the project will establish and sustain effective partnerships with tribal communities to pursue a systematic approach that promotes social trust to ensure community-driven research questions and decision-making are incorporated in this project. The research objectives are to: (1) Quantify coastal and coast-induced hazards; (2) Quantify the impacts of hazards on physical and social infrastructure; (3) Measure community evacuation capabilities and identify gaps for informed decision-making and emergency planning; (4) Develop theoretical-driven methods for collection and analysis of various data types and local perspectives on adaptation of social and physical infrastructure systems, and (5) Optimize and prioritize community decision-making to mitigate impacts and improve adaptation of communities according to their needs. The core community-engaged data collection will uniquely address the modeling need for quantified data on how tribal communities experience and perceive coastal hazards, how to respond to such hazards, as well as cartographic expressions (GIS maps) of at-risk resources and infrastructure.

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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(Showing: 1 - 10 of 17)
Braik, Abdullah M and Gupta, Himadri Sen and Koliou, Maria and González, Andrés D "Multihazard probabilistic risk assessment and equitable multiobjective optimization of building retrofit strategies in hurricanevulnerable communities" Computer-Aided Civil and Infrastructure Engineering , v.40 , 2025 https://doi.org/10.1111/mice.13445 Citation Details
Braik, Abdullah M and Han, Xu and Koliou, Maria "A framework for resilience analysis and equitable recovery in tornado-impacted communities using agent-based modeling and computer vision-based damage assessment" International Journal of Disaster Risk Reduction , v.121 , 2025 https://doi.org/10.1016/j.ijdrr.2025.105427 Citation Details
Braik, Abdullah M and Koliou, Maria "A digital twin framework for efficient electric power restoration and resilient recovery in the aftermath of hurricanes considering the interdependencies with road network and essential facilities" Resilient Cities and Structures , v.3 , 2024 https://doi.org/10.1016/j.rcns.2024.07.004 Citation Details
Braik, Abdullah M and Koliou, Maria "A novel digital twin framework of electric power infrastructure systems subjected to hurricanes" International Journal of Disaster Risk Reduction , v.97 , 2023 https://doi.org/10.1016/j.ijdrr.2023.104020 Citation Details
Braik, Abdullah M and Koliou, Maria "Automated building damage assessment and largescale mapping by integrating satellite imagery, GIS, and deep learning" Computer-Aided Civil and Infrastructure Engineering , 2024 https://doi.org/10.1111/mice.13197 Citation Details
Braik, Abdullah M and Koliou, Maria "Post-tornado automated building damage evaluation and recovery prediction by integrating remote sensing, deep learning, and restoration models" Sustainable Cities and Society , v.123 , 2025 https://doi.org/10.1016/j.scs.2025.106286 Citation Details
Chen, Chen and Mostafizi, Alireza and Wang, Haizhong and Cox, Dan and Cramer, Lori "Evacuation behaviors in tsunami drills" Natural Hazards , 2022 https://doi.org/10.1007/s11069-022-05208-y Citation Details
Chen, Chen and Wang, Haizhong and Lindell, Michael K. and Jung, Meen Chel and Siam, M.R.K. "Tsunami preparedness and resilience: Evacuation logistics and time estimations" Transportation Research Part D: Transport and Environment , v.109 , 2022 https://doi.org/10.1016/j.trd.2022.103324 Citation Details
Gupta, Himadri Sen and Adluri, Tarun and Sanderson, Dylan and González, Andrés D and Nicholson, Charles D and Cox, Daniel "Multi-objective optimization of mitigation strategies for buildings subject to multiple hazards" International Journal of Disaster Risk Reduction , v.100 , 2024 https://doi.org/10.1016/j.ijdrr.2023.104125 Citation Details
Gupta, Himadri Sen and Nofal, Omar M and González, Andrés D and Nicholson, Charles D and van_de_Lindt, John W "Optimal Selection of Short- and Long-Term Mitigation Strategies for Buildings within Communities under Flooding Hazard" Sustainability , v.14 , 2022 https://doi.org/10.3390/su14169812 Citation Details
Han, Xu and Koliou, Maria "Influence of testbed characteristics on community resilience using agent-based modeling" Resilient Cities and Structures , v.4 , 2025 https://doi.org/10.1016/j.rcns.2025.05.002 Citation Details
(Showing: 1 - 10 of 17)

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