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Alec Pawling, Tim Schoenharl, Ping Yan, & Greg Madey. (2008). WIPER: An emergency response system. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 702–710). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper describes the WIPER system, a proof of concept prototype, and progress made on its development to date. WIPER is intended to provide emergency response managers with an integrated system that detects possible emergencies from cellular communication data, attempts to predict the development of emergency situations, and provides tools for evaluating possible courses of action in dealing with emergency situations. We describe algorithms for detecting anomalies in streaming cellular communication network data, the implementation of a simulation system that validates running simulations with new real world data, and a web-based front end to the WIPER system. We also discuss issues relating to the real-time aggregation of data from the cellular service provider and its distribution to components of the WIPER system.
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Kees Boersma, Peter Groenewegen, & Pieter Wagenaar. (2009). Emergency response rooms in action: An ethnographic case-study in Amsterdam. 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: During the last decades there has been a lot of attention to issues of safety, emergency response and crisis management. Emergency response rooms (ERRs) are interesting public sector organizational arrangements in this respect. In our paper we pay attention to emergency response rooms in the Netherlands and especially in Amsterdam. Using an ethnographic approach, we studied the fire brigades (red), the medical services (white) and the police (blue) including their back-office organizations, their habits, and the systems in-use. As could be predicted, the (technical) integration of ERR systems in the Netherlands was not unproblematic. In our contribution we will make clear that the organization of the safety response in Amsterdam is rather fragmented. The latest discussion in the field is about the introduction of net-centric work, a concept based upon the interactive internet 2.0. Yet, it is not so much the technology, as well as the institutional arrangements that are at stake.
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Oduor Erick Nelson Otieno, Anna Gryszkiewicz, Nihal Siriwardanegea, & Fang Chen. (2010). Concept for intelligent integrated system for crisis management. 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: 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.
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Paola Pagliara, Angela Corina, Alessandro Burastero, Paolo Campanella, Luca Ferraris, Marina Morando, et al. (2011). Dewetra, coping with emergencies. 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: Dealing with multi-risk assessment needs reliable forecasting and warning systems able both to rapidly make available observational data and to make accessible forecast tools to the Decision Makers. In this paper we present Dewetra, a real-time integrated system for risk forecasting, monitoring and prevention. We provide a description of its features and examples of its operational use at the Italian Prime Minister Office – National Department for Civil Protection- Centro Funzionale Centrale. In particular is presented its application to flood risk management and to wild fire risk management.
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Tim Schoenharl, Greg Madey, Gábor Szabó, & Albert-László Barabási. (2006). WIPER: A multi-agent system for emergency response. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 282–287). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: This paper describes the proposed WIPER system. WIPER is intended to provide emergency planners and responders with an integrated system that will help to detect possible emergencies, as well as to suggest and evaluate possible courses of action to deal with the emergency. The system is designed as a multi-agent system using web services and the service oriented architecture. Components of the system for detecting and mitigating emergency situations can be added and removed from the system as the need arises. WIPER is designed to evaluate potential plans of action using a series of GIS enabled Agent-Based simulations that are grounded on realtime data from cell phone network providers. The system relies on the DDDAS concept, the interactive use of partial aggregate and detailed realtime data to continuously update the system and allow emergency planners to stay updated on the situation. The interaction with the system is done using a web-based interface and is composed of several overlaid layers of information, allowing users rich detail and flexibility.
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