Predicting the impact of climate change on U.S. power grids and its wider implications on national security

Pak Chung Wong, L. Ruby Leung, Ning Lu, Mia Paget, James Correia, Wei Jiang, Patrick Mackey, Z. Todd Taylor, Yu Long Xie, Jianhua Xu, Steve Unwin, Antonio Sanfilippo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

We discuss our technosocial analytics research and development on predicting and assessing the impact of climate change on U.S. power-grids and the wider implications for national security. The ongoing efforts extend cutting-edge modeling theories derived from climate, energy, social sciences, and national security domains to form a unified system coupled with an interactive visual interface for technosocial analysis. The goal of the system is to create viable future scenarios that address both technical and social factors involved in the model domains. These scenarios enable policymakers to formulate a coherent, unified strategy towards building a safe and secure society. The paper gives an executive summary of our preliminary efforts in the past year and provides a glimpse of our work planned for the second year of a multi-year project1 being conducted at the Pacific Northwest National Laboratory.

Original languageEnglish
Title of host publicationTechnosocial Predictive Analytics - Papers from the AAAI Spring Symposium
Pages148-153
Number of pages6
Publication statusPublished - 2009
Externally publishedYes
Event2009 AAAI Spring Symposium - Stanford, CA, United States
Duration: 23 Mar 200925 Mar 2009

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-09-09

Conference

Conference2009 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA
Period23/03/0925/03/09

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