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Dynamic emergency response management for large scale decision making in extreme events
Murray Turoff
author
Connie White
author
Linda Plotnick
author
Starr Roxanne Hiltz
author
2008
Information Systems for Crisis Response and Management, ISCRAM
Washington, DC
English
Effective management of a large-scale extreme event requires a system that can quickly adapt to changing needs of the users. There is a critical need for fast decision-making within the time constraints of an ongoing emergency. Extreme events are volatile, change rapidly, and can have unpredictable outcomes. Large, not predetermined groups of experts and decision makers need a system to prepare for a response to a situation never experienced before and to collaborate to respond to the actual event. Extreme events easily require a hundred or more independent agencies and organizations to be involved which usually results in two or more times the number of individuals. To accomplish the above objectives we present a philosophical view of decision support for Emergency Preparedness and Management that has not previously been made explicit in this domain and describe a number of the current research efforts at NJIT that fit into this framework.
Civil defense
Decision support systems
Information systems
Philosophical aspects
Risk management
Decision supports
Effective management
Emergency management
Emergency preparedness
Emergency response management
Extreme events
Muddling through
Time constraints
Decision making
exported from refbase (http://idl.iscram.org/show.php?record=1025), last updated on Sun, 09 Aug 2015 07:11:05 +0200
text
http://idl.iscram.org/files/turoff/2008/1025_Turoff_etal2008.pdf
MurrayTuroff_etal2008
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2008
F. Fiedrich
B
Van
de
Walle
editor
5th International ISCRAM Conference on Information Systems for Crisis Response and Management
2008
Information Systems for Crisis Response and Management, ISCRAM
Washington, DC
conference publication
462
470
9780615206974
2411-3387
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