Tina Comes, Brice Mayag, & Elsa Negre. (2015). Beyond Early: Decision Support for Improved Typhoon Warning Systems. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Warnings can help prevent damage and harm if they are issued timely and provide information that help responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor systems that are designed to reduce disaster risks, or issue early warnings. In this paper we analyze the different systems in the light of the initial decisions that need to be made in the response to sudden onset disasters. We outline challenges of current practices and methods, and provide an agenda for future research.
To illustrate our approach, we present a case study of Typhoon Haiyan. Although meteorological services had issued warnings; relief goods were prepositioned; and responders predeployed, the delivery of aid was delayed in some of the worst hit regions. We argue for an integrated consideration of preparedness and response to provide adequate thresholds for early warning systems that focus on decision-makers needs.
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Toshihisa Toyoda. (2008). Economic impacts of Kobe Earthquake: A quantitative evaluation after 13 years. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 606–617). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The importance of distinguishing between direct and indirect losses of disasters is stressed. In order to estimate indirect losses, a conceptual framework of direct and indirect losses is presented. For the case of the Great Hanshin-Awaji (Kobe) Earthquake of 1995, direct stock losses of both the manufacturing and the commercial sectors record almost same size of big damage. As for indirect flow losses, the commercial and the other services sectors show far greater damage than the manufacturing sector. A careful statistical analysis of indirect losses using the gross regional product in the stricken area presents a new finding that the lost product and income in terms of estimated indirect losses are quite large and continue to arise for longer than 10 years, mounting to some 14 trillion yen (about US$0.13 trillion). Disaster management policy should be improved by paying attention not only to direct losses but also to indirect losses.
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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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Kim Weyns, & Martin Höst. (2009). Dependability of IT systems in municipal emergency management. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In recent years governmental actors have become more and more dependent on IT systems for their responsibilities in a crisis situation. To avoid unexpected problems with the dependability of IT systems in the aftermath of a crisis it is important that such risks are identified and that measures can be taken to reduce the dependence on systems that could be unreliable. This paper describes two case studies exploring how Swedish municipalities incorporate IT systems in their emergency planning. The study focuses especially on how different actors within a municipality cooperate to analyse the risks of depending on IT systems in critical situations. The study shows that today there is much room for improvement, especially in the communication between IT personnel and emergency managers. Finally, this paper describes the requirements for a process improvement framework that can assist governmental actors in analysing and improving their dependency on IT systems in emergency management.
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Gerhard Wickler, & Stephen Potter. (2010). Standard Operating Procedures: Collaborative development and distributed use. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper describes a system that supports the distributed development and deployment of Standard Operating Procedures. The system is based on popular, open-source wiki software for the SOP development, and the I-X task-centric agent framework for deployment. A preliminary evaluation using an SOP for virtual collaboration is described and shows the potential of the approach.
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Gerhard Wickler, Austin Tate, & Stephen Potter. (2007). Integrating discrete event and process-level simulation for flexible training in the I-X framework. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 355–359). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The aim of this paper is to describe I-Sim, a simulation tool that is a fully integrated part of the underlying agent framework, I-X. I-Sim controls a discrete event simulator, based on the same activity model that is shared between all I-X components, and multiple process-level simulators that model the continuous change caused by actions that are considered as primitives by the rest of the system. The primary purpose of this tool is to support instructors during exercises that are used for training in emergency response. The main advantage the I-Sim tool gives the instructors is flexibility, allowing them to orchestrate and modify existing training scenarios on the fly, adapting them to trainees' needs as required.
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Simone Wurster, & Ulrich Meissen. (2014). Towards an economic assessment approach for early warning systems: Improving cost-avoidance calculations with regard to private households. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 439–443). University Park, PA: The Pennsylvania State University.
Abstract: In recent years, Early Warning Systems (EWS) have proven their value by saving many lives. However, most in-vestments into EWS were motivated directly by experienced disaster events and rarely pro-actively by possible up-coming threats. In order to change that we think that besides ethical and humanitarian reasons also the positive economic effects should be analyzed. EWS also help to protect property, but their contribution is not as obvious in that field due to the lack of quantitative models. This paper presents a disaster-independent formula that shows the benefits of EWS. Additional value to existing approaches is based on its advanced focus on behavioral aspects and the benefits of EWS in comparison to warnings issued via social media. We consider this work as an important contribution for future investments into warning technologies. However, yet this model just provides a theoretical framework for necessary empirical studies that are subject of further research.
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Yan, S. (2005). Design of enterprise crisis predicting system based on cluster and outlier data mining. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 143–145). Brussels: Royal Flemish Academy of Belgium.
Abstract: In order to solve such problems as half-structured and non-structured data analysis in enterprise crisis predicting system, a predicting system based on cluster and outlier data mining is put forward. The system organization, frame construction, function and working principles are illustrated. And the working process is showed by an example of cheat predicting. The experimental results show that this method is efficient and it is a new way to solve such problems.
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Zeno Franco, Nina Zumel, & Larry E. Beutler. (2007). A ghost in the system: Integrating conceptual and methodology considerations from the behavioral sciences into disaster technology research. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 115–124). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: As the complexity of disasters increases, a transdisciplinary conceptual framework designed to address three key variables-technology, disaster severity, and human characteristics-must be developed and elaborated. Current research at the nexus of disaster management and information science typically addresses one or two of these factors, but rarely accounts for all three adequately-thus rendering formal inquiry open to a variety of threats to validity. Within this tripartite model, several theories of human behavior in disaster are explored using the response of the Federal Government and the general public during Hurricane Katrina as an illustrative background. Lessons learned from practice-based scientific inquiry in the social sciences are discussed to address concerns revolving around measurement and statistical power in disaster studies. Finally, theory building within the transdisciplinary arena of disaster management and information science is encouraged as a way to improve the quality of future research.
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Hans Zimmermann. (2005). Recent developments in emergency telecommunications. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 327–334). Brussels: Royal Flemish Academy of Belgium.
Abstract: Recent Developments in the telecommunication technology offer a number of additional tools not only for the providers of emergency and disaster response, but may also facilitate early warning. Their application depends, however, on the regulatory framework governing telecommunications and on their appropriateness for the specific requirements in the pre-, peri- and postimpact phases of an event. Telecommunications are a key element for to the success of emergency preparedness and response, and the application of all available technologies and networks saves lives. The recent events in the Indian Ocean Region will have to be the subject of detailed analysis and evaluation of all existing mechanisms, hopefully leading to improvements in the organizational and operational field. First information available already in the immediate aftermath of the events of 26 December 2004 has been applied to the considerations in the present paper.
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Dimitris Zisiadis, Spyros Kopsidas, Vassilis Grizis, George Thanos, George Leventakis, & Leandros Tassiulas. (2012). STAR-TRANS Modeling Language (STML) modeling risk in the STAR-TRANS risk assessment framework for interconnected transportation systems. 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: The present paper introduces a high level modeling language, capable of expressing the concepts and processes of the Strategic Risk Assessment and Contingency Planning in Interconnected Transportation Networks (STAR-TRANS) framework. STAR-TRANS is a comprehensive transportation security risk assessment framework for assessing related risks that provides cohered contingency management procedures for interconnected, interdependent and heterogeneous transport networks. STAR-TRANS modeling Language (STML) is a domain specific language combining language simplicity with a very clear syntax, providing all the necessary elements (assets, threats, incidents, consequences etc.) to model the STAR-TRANS risk assessment framework. © 2012 ISCRAM.
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Christopher W. Zobel. (2011). Representing the multi-dimensional nature of disaster resilience. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Although quantitative analytical information systems are an important resource for supporting decision-making in disaster operations management, not all aspects of a disaster situation can be easily quantified. For example, although the concept of the disaster resilience of a community has a technical dimension within which one can measure the resistance of the infrastructure against, and the speed of its recovery from, a disaster event, it also has social, organizational, and economic dimensions within which these characteristics may be more difficult to measure. This work-in-progress paper introduces a quantitative framework within which the multi-dimensional nature of such disaster resilience can be represented in a concise manner. This can help to improve understanding of the complexities associated with the concept, and thus directly support decision-making in disaster operations planning and management.
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