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Jian Wang, Daniela Rosca, Williams Tepfenhart, & Allen Milewski. (2006). Incident command system workflow modeling and analysis: A case study. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 127–136). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: The dynamics and volunteer-based workforce characteristics of incident command systems have raised significant challenges to workflow management systems. Incident command systems must be able to adapt to ever changing surroundings and tasks during an incident. These changes need to be known by all responsible parties, since people work in shifts, get tired or sick during the management of an incident. In order to create this awareness, job action sheets and forms have been created. We propose a paperless system that can dynamically take care of these aspects, and formally verify the correctness of the workflows. Furthermore, during an incident, the majority of workers are volunteers that vary in their knowledge of computers, or workflows. To address these challenges, we developed an intuitive, yet formal approach to workflow modeling, modification, enactment and validation. In this paper, we show how to apply this approach to address the needs of a typical incident command system workflow.
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Jian Wang, Tim Yardley, Himanshu Khurana, & Liying Wang. (2010). LENS: Location-based emergency notification service. 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: University campuses and municipalities are currently spending large sums of money to acquire systems that allow dissemination of information in emergency situations. The majority of these are mass notification systems that first register multiple contacts for community residents (email, phone, pager, etc.) and then deliver information to those residents at the push of a button to leave a message. Motivated by the limitations of such approaches, in this work we explore the use of existing metropolitan network infrastructures to design a new Location-Based Emergency Notification Service (LENS). LENS selectively redirecting residents to safety information using existing communication channels (e.g., Web browsing over HTTP). LENS eliminates the need for registration, provides minimal interruption to users and involves a low-cost setup. We prototype LENS using off-the-shelf components and demonstrate efficiency and scalability for a 60,000 user campus environment.
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