DocumentCode
2196225
Title
MAEviz: Exploring Earthquake Risk Reduction Strategies
Author
Navarro, Christopher M. ; Hampton, Shawn D. ; Lee, Jong Sung ; Tolbert, Nathan L. ; McLaren, Terrence M. ; Myers, James D. ; Spencer, B.F., Jr. ; Elnashai, Amr S.
Author_Institution
Nat. Center for Supercomput. Applic., Univ. of Illinois at Urbana-Champaign, Urbana, IL
fYear
2008
fDate
7-12 Dec. 2008
Firstpage
457
Lastpage
457
Abstract
MAEviz is an open-source project that helps reduce the time from discovery gap that exists between researchers, practitioners, and decision makers by integrating the latest research findings, most accurate data, and new methodologies into a single software product. MAEviz was developed as a platform to perform seismic risk assessment based on the Mid-America Earthquake (MAE) Center research in the consequence-based risk management (CRM) framework. The CRM paradigm provides a philosophical and practical framework for the assessment of the dynamic inter-disciplinary relationship between causes, effects, and effect mitigation for major events and disaster management. MAEviz provides the medium where "what if models and risk reduction strategies can be evaluated by both researchers and decision makers in an effort to avoid a catastrophic impact on society in the event of an earthquake.
Keywords
geophysics computing; public domain software; risk management; seismology; MAE Center; MAEviz; Mid-America Earthquake Center research; consequence-based risk management framework; disaster management; open-source project; risk reduction strategies; seismic risk assessment; Buildings; Data engineering; Disaster management; Earthquake engineering; Open source software; Project management; Risk management; Road transportation; Software testing; US Department of Transportation; Cyberinfrastructure; Data; Education; Geoscience; MAEviz;
fLanguage
English
Publisher
ieee
Conference_Titel
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location
Indianapolis, IN
Print_ISBN
978-1-4244-3380-3
Electronic_ISBN
978-0-7695-3535-7
Type
conf
DOI
10.1109/eScience.2008.71
Filename
4736845
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