Andrea Capata, Andrea Marrella, Ruggero Russo, Manfred Bortenschlager, & Harald Rieser. (2008). A geo-based application for the management of mobile actors during crisis situations. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 219–229). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The widespread availability of network-enabled handled devices has made the development of pervasive computing applications an emerging reality particularly suitable for managing emergency/disaster situations. Moreover in emergency management scenarios, Geographic Information Systems (GIS) are gaining momentum for their capacity to capture, analyze and manage geo-referenced data. In this paper we discuss an architecture designed to support rescue teams operating in outdoor environments and equipped with mobile devices working in a P2P fashion within a Mobile Ad-hoc Network (MANET). Our system has been designed to effectively address the on-field working persons' need for geographic information that cannot be supplied by conventional paper-based maps. Our approach provides a transparent access to geo-information and to GIS functionalities, and it addresses issues specifically relevant to emergency management scenarios in open fields.
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Maurizio Marchese, Lorenzino Vaccari, Gaia Trecarichi, Nardine Osman, & Fiona McNeill. (2008). Interaction models to support peer coordination in crisis management. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 230–241). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: All phases of emergency management activities – that we will reference hereafter as eResponse activities – depend on data from a variety of sources and involve a range of different organizations and teams at various administrative levels with their own systems and services. The existence of numerous and different actors, policies, procedures, data standards and systems results in coordination problems with respect to data analysis, information delivery and resource management.. In this paper we present a novel approach based on interaction models distributed through a peer to peer infrastructure and we show how it can be applied in the context of crisis management to support coalition formation and process coordination in open environments. In particular, a prototype eResponse simulation system – built on a P2P infrastructure – has been developed to execute interaction models describing common coordination tasks in emergency response domain. Preliminary evaluation of the proposed framework demonstrates its capability to support such eResponse tasks.
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Michele Angelaccio, & Daniele Pizziconi. (2008). Adaptive process coordination through mobile file sharing: A crisis management case study analysis. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 242–248). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper describes an ongoing project that exploits the capability of mobile sharing systems for ad-hoc wireless networks (MANET) operating in a post-emergency scenario. The aim is to support an existing adaptive process management in which users handle multimedia files (e.g. disaster photos) in a nomadic way by exploiting the capability offered by mobile file sharing middleware to reduce the connection time for each nomadic operator performing emergency workflow. The paper compares user activities with and without file sharing capability in order to show the efficiency gain that could be obtained. A preliminary discussion with example of activity diagrams evidences the benefits in terms of workflow efficiency and gives the opportunity in the software project development phase to obtain a more scalable and efficiently performing mobile adaptive process management for crisis scenarios.
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