BIL: Integrating Social and Meteorological Data to Assess the Dynamics of Flood Hazards and Impacts: An Interdisciplinary Approach to Leveraging AI, Risk Communication, and Data Sciences

Amy McGovern; Ann Bostrom; Julie Demuth; David John Gagne; Gabrielle Wong-Parodi; John Williams

doi:10.25923/na23oar4050503i

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

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BIL: Integrating Social and Meteorological Data to Assess the Dynamics of Flood Hazards and Impacts: An Interdisciplinary Approach to Leveraging AI, Risk Communication, and Data Sciences

08/01/2023
By Amy McGovern ; Ann Bostrom ; Julie Demuth ; ...

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Personal Author:

Amy McGovern ; Ann Bostrom ; Julie Demuth ; David John Gagne ; Gabrielle Wong-Parodi ; ... More +

Amy McGovern ; Ann Bostrom ; Julie Demuth ; David John Gagne ; Gabrielle Wong-Parodi ; John Williams Less -
Corporate Authors:

AI2ES/University of Oklahoma ; University of Washington ; National Center for Atmospheric Research ; Stanford University ; The Weather Company/IBM

AI2ES/University of Oklahoma ; University of Washington ; National Center for Atmospheric Research ; Stanford University ; The Weather Company/IBM Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; WPO (Weather Program Office)

OAR (Oceanic and Atmospheric Research) ; WPO (Weather Program Office) Less -
Description:

This project aims to provide insights into how physical and social science data can be integrated to better understand risk perceptions, response, and impacts to inland flooding hazards. Additionally, this project aims to expand their previously developed longitudinal survey methodology to collect real-time data on people's risk perceptions, response, and impacts to inland flooding events.
Content Notes:

Award amount: $1,034,942
Keywords:

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DOI:

https://doi.org/10.25923/na23oar4050503i
ISSN:

0000 0005 0384 6885
Identifier:

https://doi.org/10.13039/100018606
Format:

htm
Publisher:

National Oceanic and Atmospheric Administration ; OAR (Oceanic and Atmospheric Research) ; WPO (Weather Program Office)

National Oceanic and Atmospheric Administration ; OAR (Oceanic and Atmospheric Research) ; WPO (Weather Program Office) Less -
Document Type:

Grant
Funding:

Grant no. NA23OAR4050503I
Is Part Of:

Cooperative Agreement;Bipartisan Infrastructure Law (BIL);
Type:

Noncompetitive RFA
Main Document Checksum:

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urn:sha-512:cf83e1357eefb8bdf1542850d66d8007d620e4050b5715dc83f4a921d36ce9ce47d0d13c5d85f2b0ff8318d2877eec2f63b931bd47417a81a538327af927da3e
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BIL: Integrating Social and Meteorological Data to Assess the Dynamics of Flood Hazards and Impacts: An Interdisciplinary Approach to Leveraging AI, Risk Communication, and Data Sciences

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