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Author Tina Comes; Claudine Conrado; Michael Hiete; Michiel Kamermans; Gregor Pavlin; Niek Wijngaards pdf  openurl
  Title An intelligent decision support system for decision making under uncertainty in distributed reasoning frameworks Type Conference Article
  Year 2010 Publication ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings Abbreviated Journal ISCRAM 2010  
  Volume Issue Pages  
  Keywords Automation; Civil defense; Decision making; Decision support systems; Disasters; Expert systems; Information systems; Intelligent systems; Multi agent systems; Risk management; Decision making under uncertainty; Distributed decision support systems; Distributed reasonings; Emergency management; Intelligent decision support systems; Multi-criteria decision analysis; Scenario-based; Theoretical framework; Information filtering  
  Abstract This paper presents an intelligent system facilitating better-informed decision making under severe uncertainty as found in emergency management. The construction of decision-relevant scenarios, being coherent and plausible descriptions of a situation and its future development, is used as a rationale for collecting, organizing, filtering and processing information for decision making. The development of scenarios is geared to assessing decision alternatives, thus avoiding time-consuming analysis and processing of irrelevant information. The scenarios are constructed in a distributed setting allowing for a flexible adaptation of reasoning (principles and processes) to the problem at hand and the information available. This approach ensures that each decision can be founded on a coherent set of scenarios, which was constructed using the best expertise available within a limited timeframe. Our theoretical framework is demonstrated in a distributed decision support system by orchestrating both automated systems and human experts into workflows tailored to each specific problem.  
  Address Institute for Industrial Production, Karlsruhe Institute of Technology (KIT), Germany; D-CIS Lab / Thales Research and Technology, Netherlands  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Seattle, WA Editor S. French, B. Tomaszewski, C. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN Medium  
  Track Intelligent Systems Expedition Conference 7th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 406  
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Author Ali Khalili-Araghi; Uwe Glässer; Hamed Yaghoubi Shahir; Brian Fisher; Piper Jackson pdf  isbn
openurl 
  Title Intelligent decision support for emergency responses Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Artificial intelligence; Command and control systems; Decision support systems; Dynamics; Information systems; Intelligent agents; Adaptive information; Command and control; Dynamic resource configurations; Emergency response; Heterogeneous resources; Intelligent decision support; Intelligent decision support systems; Situational awareness; Information management  
  Abstract With a coastline touching upon the Pacific and Atlantic Oceans, the Great Lakes and the Arctic Sea, the Canadian MSOCs are faced with a daunting task. They are responsible for both routine duties, including patrolling coastal areas and collecting satellite data, as well as critical missions, such as emergency response and crime intervention. Both kinds of mission require the fusion of data from a variety of sources and the orchestration of myriad heterogeneous resources over great physical distances. They must deal with uncertainty, both in terms of what can be known and also in the outcomes of actions, and must interact with an environment prone to dynamic change. We present the architecture and core mechanisms of a decision support system for marine safety and security operations (Glässer, Jackson, Araghi, When and Shahir, 2010). The goal of this system is to enhance complex command and control tasks by improving situational awareness and automating task assignments. This system concept includes adaptive information fusion techniques integrated with decentralized control mechanisms for dynamic resource configuration management and task execution management under uncertainty. Autonomously operating agents employ collaboration and coordination to collectively form an intelligent decision support system. © 2012 ISCRAM.  
  Address School of Interactive Arts and Technology, Simon Fraser University, Canada; School of Computing Science, Simon Fraser University, Canada  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Poster Session Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 139  
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Author Oduor Erick Nelson Otieno; Anna Gryszkiewicz; Nihal Siriwardanegea; Fang Chen pdf  openurl
  Title Concept for intelligent integrated system for crisis management Type Conference Article
  Year 2010 Publication ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings Abbreviated Journal ISCRAM 2010  
  Volume Issue Pages  
  Keywords Artificial intelligence; Decision support systems; Information systems; Cell phone; Crisis management; Integrated systems; Intelligent decision support; Significant points; Standalone applications; Support systems; User friendly interface; Decision making  
  Abstract In this document, we describe the need for providing a uniform common picture that is missing in several crisis management decision support tools. Through research, we have reviewed some existing crisis management support systems in use and noted key user requirements that these tools are missing. A significant point of this research is to stress the importance of developing a decision support system that would improve the way an ideal support system would collect, analyze and disseminate necessary information to a crisis management decision maker. We also note the importance of ensuring that such a tool presents information to its user over a user friendly interface. The structure thus developed should be a standalone application that could be incorporated into existing platforms (Rinkineva, 2004) such as cell phones, PDAs and laptops.  
  Address Chalmers Institute of Technology, Sweden; Chalmers Institute of Technology, Computer Science and Engineering, Sweden  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Seattle, WA Editor S. French, B. Tomaszewski, C. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN Medium  
  Track Intelligent Systems Expedition Conference 7th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 820  
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Author Jim Steel; Renato Iannella; Ho-Pun Lam pdf  isbn
openurl 
  Title Using ontologies for decision support in resource messaging Type Conference Article
  Year 2008 Publication Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2008  
  Volume Issue Pages 276-284  
  Keywords Civil defense; Disasters; Information systems; Ontology; Risk management; Decision supports; Emergency management; Intelligent decision support; Message format; Ontology matching; Organizational boundaries; Resource management; Decision support systems  
  Abstract Emergency management is by its nature, and in some jurisdictions by its definition, an activity that requires a concerted effort by a number of governmental and non-governmental agencies. There is a growing appreciation that collaboration between these parties is best served through the use of interoperable standards for message formats for purposes such as alerting and resource exchange. However, it is also important to realize that, although much advantage can be drawn from standardizing certain aspects of communication, such as the structure of messages, different agencies will use different vocabularies. In this paper we discuss how ontologies can be used with standard messaging formats for resource messaging to enable intelligent decision support mechanisms in the presence of differing vocabularies across organizational boundaries. We also present a survey of the opportunities for using ontologies in emergency management, and the issues that must be addressed.  
  Address University of Queensland, NICTA, Australia  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Washington, DC Editor F. Fiedrich, B. Van de Walle  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780615206974 Medium  
  Track Ontologies for Crisis Management Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 972  
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Author Felix Wex; Guido Schryen; Dirk Neumann pdf  isbn
openurl 
  Title Intelligent decision support for centralized coordination during Emergency Response Type Conference Article
  Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011  
  Volume Issue Pages  
  Keywords Information systems; Intelligent systems; Optimization; Resource allocation; Allocation mechanism; Comparative analysis; Coordination; Distributed resource allocation; Emergency operations centers; Emergency response systems; Intelligent decision support; Monte-Carlo simulations; Decision support systems  
  Abstract Automated coordination is regarded as a novel approaches in Emergency Response Systems (ERS), and especially resource allocation has been understudied in former research. The contribution of this paper is the introduction of two variants of a novel resource allocation mechanism that provide decision support to the centralized Emergency Operations Center (EOC). Two quantitative models are computationally validated using real-time, data-driven, Monte-Carlo simulations promoting reliable propositions of distributed resource allocations and schedules. Various requirements are derived through a literature analysis. Comparative analyses attest that the Monte-Carlo approach outperforms a well-defined benchmark.  
  Address Albert-Ludwigs-Universität Freiburg, Germany; Universität Regensburg, Germany  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Intelligent Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1077  
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