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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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Mitchell L. Moss, & Anthony M. Townsend. (2006). Disaster forensics: Leveraging crisis information systems for social science. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 305–312). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: This paper contributes to the literature on information systems in crisis management by providing an overview of emerging technologies for sensing and recording sociological data about disasters. These technologies are transforming our capacity to gather data about what happens during disasters, and our ability to reconstruct the social dynamics of affected communities. Our approach takes a broad review of disaster research literature, current research efforts and new reports from recent disasters, especially Hurricane Katrina and the Indian Ocean Tsunami. We forecast that sensor networks will revolutionize conceptual and empiricial approaches to research in the social sciences, by providing unprecedented volumes of high-quality data on movements, communication and response activities by both formal and informal actors. We conclude with a set of recommendations to designers of crisis management information systems to design systems that can support social science research, and argue for the inclusion of post-disaster social research as a design consideration in such systems.
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Elena Tsiporkova, Nicolás González-Deleito, Tom Tourwé, & Anna Hristoskova. (2012). Ontology-driven multimodal interface design for an emergency response application. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: In this paper, we propose an ontology-driven modelling framework, which allows to capture the domain and expert knowledge available within the interface design community, and to support designers in their daily design tasks by eliciting user and application dependent design recommendations. We illustrate how this framework can be used in practice with a concrete case study devoted to multimodal interface design for the purpose of emergency response applications. © 2012 ISCRAM.
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Anne-Marie Barthe-Delanoë, & Wenxin Mu. (2020). Towards a Context-Aware Systemic Risk Management Framework for the Crisis Response. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 1122–1129). Blacksburg, VA (USA): Virginia Tech.
Abstract: Crisis response is, as any other collaborative networked organization, challenged by changes and vulnerabilities. Moreover, as a complex system with distributed activities and numerous interdependencies, considering the risk of such an organization at a systemic level, including time and space dimensions, is necessary. Systemic risk management is a topic traditionally studied in the finance area. Even if a few researches now focus on the supply chain management area (a more relatable domain regarding crisis response), there is even fewer literature regarding systemic risk management for the crisis response. Thus, this paper proposes first to define systemic risk related to the case of the crisis response. Then, a framework for context-aware systemic risk management is presented, to support the design as well as the follow-up of the crisis response, meeting one of the challenges of the Sendai Framework for Disaster Risk Reduction.
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