Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Community-informed Decisions for Efficient, Cost-effective, and Integrative Disaster Resilience planning (Co-DECIDR): Implementation with Natural Language Processing and Large Language Models

Published

Author(s)

Jennifer Helgeson, Steven Gray, Mahdi Zareei, Carissa Knox, Richard Sadler, Laura Schmitt Olabisi, Chelsea Wentworth, Nathan Brugnone
Citation
NIST Research Brief (RB) - 6
Report Number
6

Citation

Helgeson, J. , Gray, S. , Zareei, M. , Knox, C. , Sadler, R. , Schmitt Olabisi, L. , Wentworth, C. and Brugnone, N. (2025), Community-informed Decisions for Efficient, Cost-effective, and Integrative Disaster Resilience planning (Co-DECIDR): Implementation with Natural Language Processing and Large Language Models, NIST Research Brief (RB), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.RB.6, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=959898 (Accessed April 13, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created April 8, 2025