Award Abstract # 2133336
SCC-CIVIC-FA Track B Convergence, Inventory, Matching, and Assignment (CIMA) to Optimize Post-event Housing Repair for Displaced Vulnerable Populations

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: OLD DOMINION UNIVERSITY RESEARCH FOUNDATION
Initial Amendment Date: September 16, 2021
Latest Amendment Date: July 12, 2024
Award Number: 2133336
Award Instrument: Standard Grant
Program Manager: Ralph Wachter
rwachter@nsf.gov
 (703)292-8950
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2021
End Date: September 30, 2025 (Estimated)
Total Intended Award Amount: $1,000,000.00
Total Awarded Amount to Date: $1,199,900.00
Funds Obligated to Date: FY 2021 = $1,000,000.00
FY 2022 = $199,900.00
History of Investigator:
  • Joshua Behr (Principal Investigator)
    Jbehr@odu.edu
  • Bridget Giles (Co-Principal Investigator)
  • Rafael Diaz (Co-Principal Investigator)
Recipient Sponsored Research Office: Old Dominion University Research Foundation
4111 MONARCH WAY STE 204
NORFOLK
VA  US  23508-2561
(757)683-4293
Sponsor Congressional District: 03
Primary Place of Performance: Old Dominion University
5115 Hampton Blvd.
Norfolk
VA  US  23529-0001
Primary Place of Performance
Congressional District:
03
Unique Entity Identifier (UEI): DSLXBD7UWRV6
Parent UEI: DSLXBD7UWRV6
NSF Program(s): S&CC: Smart & Connected Commun
Primary Program Source: 01002122RB NSF RESEARCH & RELATED ACTIVIT
01002021RB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 042Z
Program Element Code(s): 033Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Severe weather events have the potential to inflict wide-spread structural damage to homes, resulting in population displacement. Displaced households suffer enormously. The length of time between initial displacement and returning, once again, to stable housing varies greatly across populations, with low-to-moderate income households and medically fragile households tending to have lengthy displacements. Following an event, volunteer labor and donated materials flow into the impacted region. However, the matching of supply (donated materials and volunteer labor) with the need for repair among particularly vulnerable households is less than optimal. It is essential to more-optimally match supply with the need so that lengthy displacement times common among vulnerable households will be meaningfully reduced, thus addressing fundamental inequities in recovery and wellbeing. This project will develop, pilot, and field the Convergence, Inventory, Matching, and Assignment (CIMA) platform to provide this needed capability. CIMA, when used by nonprofit recovery organizations, will increase efficiency in matching supply with need and promises to meaningfully decrease displacement times among vulnerable households. The project will have multiple societal impacts. It will (a) lessen disparities in displacement times and, by extension, lessen longer-term disparities in health and wellbeing; (b) advance equity and justice issues in recovery; (c) partner with underserved communities; and (d) support the training of graduate students inclusive of racial and ethnic minorities and females.

This project will progress through high-level conceptual, implementation, and execution stages. More precisely, the CIMA architecture is a decentralized, stateless system conforming with Representational State Transfer (REST) in the creation of the underlying client/server protocols and Application Programmer Interfaces (APIs). The CIMA development and fielding processes shall (a) advance research in optimization and scheduling algorithms; (b) improve user experience interfaces consistent with user needs and expectations; (c) perform internal and external validation; and (d) stress test CIMA against common storm assumptions as well as outlier scenarios.

This project is part of the joint CIVIC Innovation Challenge program which includes Department of Energy Vehicle Technology Office, Department of Homeland Security Science and Technology Directorate, Federal Emergency Management Agency, and the National Science Foundation.

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.

Please report errors in award information by writing to: awardsearch@nsf.gov.

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