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Stephen C. Fortier, & Ioannis M. Dokas. (2008). Setting the specification framework of an Early Warning System using IDEF0 and information modeling. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 441–450). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Our goal is to develop an Early Warning System for an engineering system with a special interest in applying this to a material recovery facility. This on-going research points out that there is no clear definition of what Early Warning Systems are. A literature search for Early Warning Systems identifies hundred of thousands hits (Buchanan-Smith, 1999; Davies, Buchanan-Smith, Lambert, 1991). Almost all of the references had to do with financial systems for third world countries, tracking the destructive nature of violent conflicts that led to human suffering, or systems for syndromic surveillance. The goal of our research, and of this paper, is to define a framework for creating a specification that can be considered as the basis for the development of any Early Warning System-specifically for engineering systems. Therefore, we will describe Early Warning Systems and its requirements and specifications. Based on specification patterns, we have developed an abstract model of an Early Warning System; and developed an IDEF0 model of a material recovery facility that provides the framework for specifying an Early Warning System. The Early Warning System is then specified using information modeling.
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Cindy Hui, Mark Goldberg, Malik Magdon-Ismail, & William A. Wallace. (2008). Micro-simulation of diffusion of warnings. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 424–430). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper presents a unique view of modeling the diffusion of warnings in social networks where the network structure may change over time. Since the characteristics and actions of people in a community have significant influence on the flow of information through a network, we present an axiomatic framework for modeling the diffusion process through the concept of trust. This ongoing work provides a micro level view of the behavior of individuals and groups in a community. Preliminary experiments were made to explore how model parameters such as trust and the social network structure affect warning message belief and evacuation.
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Ulrich Meissen, & Agnès Voisard. (2008). Increasing the effectiveness of early warning via context-aware alerting. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 431–440). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The effective implementation of early warning is one of the best investments for disaster prevention and mitigation. In the last decade, we have witnessed strong efforts and progress towards better risk detection, monitoring and prediction. However, the best warnings are ineffective if they cannot be distributed in a timely way and targeted to people at risk. With the evolvement of new Information and Communication Technologies, we have new opportunities and face new challenges for improving classical warning processes. Based on our experience and research results from two user-centered hydro-meteorological Early Warning Systems (EWS) we present an approach for context-aware alerting that can increase considerably the effectiveness of warning. Furthermore, we introduce an applied evaluation model for the effectiveness of an EWS.
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Douglas C. Pattie, & Stefanie Dannenmann. (2008). Evaluation and strengthening of early warning systems in countries affected by the 26 December 2004 Tsunami. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 415–423). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The objective of this international initiative was to provide an integrated framework for strengthening early warning systems in the Indian Ocean region by building on existing systems and facilitating coordination among specialized and technical institutions. The project supported the development of tsunami early warning systems in collaboration with numerous United Nations and other organizations devoted to disaster risk management and risk reduction. For the practitioner of early warning systems, the project has been divided into two areas-warning system development and preparedness. As a cross-cutting theme, the project promoted multi-hazard end-to-end systems in a regional context by emphasizing (i) risk knowledge, (ii) monitoring and warning service, (iii) communications and dissemination of understandable warnings and (iv) response capability and preparedness. The activities of the project were structured into five components-system implementation, integrated risk management, public awareness and education, community-level approaches and project coordination. Practitioners should note that the work represents a first step for establishing a complete tsunami early warning system within a multi-hazard framework.
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