
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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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 2022 = $199,900.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
4111 MONARCH WAY STE 204 NORFOLK VA US 23508-2561 (757)683-4293 |
Sponsor Congressional District: |
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Primary Place of Performance: |
5115 Hampton Blvd. Norfolk VA US 23529-0001 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | S&CC: Smart & Connected Commun |
Primary Program Source: |
01002021RB NSF RESEARCH & RELATED ACTIVIT 01002223DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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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.
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