Christine Adler, Marion Krüsmann, Thomas Greiner-Mai, Anton Donner, Javier Mulero Chaves, & Àngels Via Estrem. (2011). IT-supported management of mass casualty incidents: The e-triage project. 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: Voice, analogue mobile radio, and paper have een successfully used for decades for coordination of emergencies and disasters, but although being simple and robust this approach cannot keep pace with todays requirements any more. Emerging and established digital communication standards open the door to new applications and services, but the expected benefit needs to be carefully evaluated against robustness, interoperability, and user-friendliness. This paper describes a framework for IT-supported management of mass casualty incidents, which is currently under implementation and study. The four pillars of the concept are handheld devices for use both in daily rescue operations and in disasters, autonomous satellite-based communication infrastructure, a distributed database concept for maximal availability, and psychological acceptance research.
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Tim J. Grant, F.L.E. Geugies, & Peter A. Jongejan. (2013). Social media in command & control: A proof-of principle experiment. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 52–61). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The literature on the organizational use of social media in crisis response and management is largely concerned with communication between organizations and the general public (“citizens”). By contrast, there are few papers on the use of social media within organizations for operational purposes. One essential operational capability in such organizations is Command & Control (C2) or its equivalent. Our research focuses on the use of social media in C2 for crisis management at the operational and tactical levels. To enable the use of social media in C2, Jongejan and Grant (2012) extended Reuter, Marx and Pipek's (2011) theoretical framework. In the research reported in this paper, the extended framework was tested by performing a proof-of-principle experiment for a famine relief scenario with human subjects in the laboratory. The results show that more extensive concept demonstrations and field experimentation are justified.
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Nicholas Palmer, Roelof Kemp, Thilo Kielmann, & Henri Bal. (2012). RAVEN: Using smartphones for collaborative disaster data collection. 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 describe our work in progress on RAVEN, a framework, which makes it possible to build applications for collaborative editing of structured data on Android. RAVEN offers developers compile time tools, which use only the schema to generate all database handling components, edit and list user interfaces, as well as those needed for data synchronization, significantly reducing development effort. In addition, RAVEN also offers the ability to do the same work, entirely at runtime, using only a smartphone. With RAVEN it is possible to construct data oriented applications on phone at any time, including during a disaster. Users can share their applications simply by sharing the database and corresponding schema. Thus, RAVEN enables completely decentralized application creation, sharing, and data distribution, avoiding issues of connectivity to centralized resources. In this paper we show that with RAVEN it is possible to construct a new application at runtime and compare the results with an equivalent custom-built application. © 2012 ISCRAM.
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Thomas Plagemann, Katrine S. Skjelsvik, Matija Puzar, Aslak Johannessen, Ovidiu Drugan, Vera Goebel, et al. (2008). Cross-layer overlay synchronization in sparse MANETs. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 546–555). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Mobile Ad-Hoc Networks maintain information in the routing table about reachable nodes. In emergency and rescue operations, human groups play an important role. This is visible at the network level as independent network partitions which are for some time stable before their members change through merging or partitioning. We use the information from stable routing tables to optimize the synchronization of Mediators in a Distributed Event Notification System. In a stable partition each node has the same information, thus a single Mediator can efficiently coordinate the synchronization, while all other Mediators just receive updates. We show in our experiments that just a few seconds are needed until routing tables stabilize and all nodes have a common view of the partition. We present a heuristic to determine the proper time to synchronize. Furthermore, we show how exceptions, like disappearing coordinating Mediators and unexpected messages, can be efficiently handled.
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Ka-Ping Yee, Dieterich Lawson, Dominic König, & Dale Zak. (2011). The tablecast data publishing protocol. 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: We describe an interoperability challenge that arose in Haiti, identify the parameters of a general problem in crisis data management, and present a protocol called Tablecast that is designed to address the problem. Tablecast enables crisis organizations to publish, share, and update tables of data in real time. It allows rows and columns of data to be merged from multiple sources, and its incremental update mechanism is designed to support offline editing and data collection. Tablecast uses a publish/subscribe model; the format is based on Atom and employs PubSubHubbub to distribute updates to subscribers.
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