NSF Org:	RISE Integrative and Collaborative Education and Research (ICER)
Recipient:	NEW YORK UNIVERSITY
Initial Amendment Date:	August 25, 2024
Latest Amendment Date:	August 25, 2024
Award Number:	2435015
Award Instrument:	Standard Grant
Program Manager:	Laura Lautz llautz@nsf.gov  (703)292-7775 RISE  Integrative and Collaborative Education and Research (ICER) GEO  Directorate for Geosciences
Start Date:	November 1, 2024
End Date:	October 31, 2026 (Estimated)
Total Intended Award Amount:	$200,000.00
Total Awarded Amount to Date:	$200,000.00
Funds Obligated to Date:	FY 2024 = $200,000.00
History of Investigator:	Andrea Silverman (Principal Investigator) as10872@nyu.edu Giuseppe Mascaro (Co-Principal Investigator) Stanislav Sobolevsky (Co-Principal Investigator) Graham Dove (Co-Principal Investigator) Charlie Mydlarz (Co-Principal Investigator)
Recipient Sponsored Research Office:	New York University 70 WASHINGTON SQ S NEW YORK NY  US  10012-1019 (212)998-2121
Sponsor Congressional District:	10
Primary Place of Performance:	New York University 70 WASHINGTON SQ S NEW YORK NY  US  10012-1019
Primary Place of Performance Congressional District:	10
Unique Entity Identifier (UEI):	NX9PXMKW5KW8
Parent UEI:
NSF Program(s):	CHIRRP: Hzrds & Resilient Plnt
Primary Program Source:	01002425DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):
Program Element Code(s):	297Y00
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.050

ABSTRACT

Of the many Earth system hazards that are expected to increase with climate change, urban flooding is one of the most dangerous and costly by negatively impacting public health, safety, infrastructure, and mobility. Multiple stakeholders, including the National Weather Service, city agencies, emergency management teams, community members, and Earth Science researchers, require real-time, quantitative, and accurate data on ongoing and past flood events. To address this need, low-cost water level sensors are being developed by the FloodNet project in New York City to collect, transmit, and provide data on flood depth to stakeholders. The ultimate goal is to make flood data and monitoring tools accessible and useful to stakeholders to ultimately advance flood risk knowledge and mitigation and build community flood resilience. However, there remain open questions related to flood data use by different stakeholders and strategies needed to clean, analyze, and distribute the data to meet desired use cases. The main goal of this planning grant is to develop collaborative partnerships with government agencies, the National Weather Service, and Earth Science researchers, and use the extensive dataset being produced by FloodNet to co-identify and refine research questions aimed at using flood sensor data to better understand and predict urban flooding, as well as implement community-level actions toward adaptation and mitigation.

This project will be conducted through the following objectives: (1) develop and optimize data processing tools to prepare the flood dataset for actionable use; (2) assess desired use cases for flood data at real-time, intermediate, and long-term time scales, and needs for integrating data into existing information systems; and (3) share flood data with stakeholders to co-identify research questions related to flood risk mitigation and needs for design of new tools for data integration and sensemaking, to ultimately co-develop actionable tools and services to aid flood adaptation and mitigation.

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.