Anne-Marie Barthe-Delanoë, Sébastien Truptil, Nelly Olivier-Maget, & Frédérick Bénaben. (2018). Towards an Organizational and Socio-Technical Context-Aware Adaptation of Emergency Plans. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 212–217). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: In France, facilities listed under environment protection regulations are required to draw up emergency plans. During a crisis situation, facing an unexpected event, these plans may be irrelevant. They have to be adapted to the current crisis situation and its observed or anticipated evolutions, using data emitted by the crisis ecosystem. But this adaptation requires lots of effort and is time-consuming. This article aims at presenting an approach to ensure the dynamic adaptation of emergency plans. We propose to identify generic configuration variables (representing interactions of physical phenomena and human factors on the facility) and to feed these configuration variables by collecting and processing data emitted by sensors, social networks, official reports, etc. Therefore, emergency plans could natively integrate agility by their ability to detect and take into account a change in the crisis situation and decision makers will be supported since the early stage of the crisis response.
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Edward J. Glantz, & Frank E. Ritter. (2017). Integrative Risk Identification Approach for Mass-Gathering Security. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 363–373). Albi, France: Iscram.
Abstract: Effective risk management begins with successful risk identification. Unfortunately, traditional approaches may lead to haphazard and incomplete results. To overcome this, we present a new integrative approach to improve risk identification that sequentially investigates protector-views and narrow scopes using literature review, ethnography, and subject matter expertise. This paper illustrates this approach by identifying man-made and natural threats to mass-gathering events in general, and stadium security as an example. Improving risk identification enhances resilience to known risks by enabling planning and development of targeted response strategies. Working from a more complete portfolio of risk resilience strategies may also improve flexibility and agility to respond to new and emerging risks.
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Per Wikberg, Dennis Andersson, & Björn Johansson. (2017). Assessing command and control teams' performance and agility. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 204–219). Albi, France: Iscram.
Abstract: Crisis response organizations and military units must be agile and able to adapt to dynamic situations. The ability to adapt includes command and control agility, organizational adaptability and individual adaptability. An exploratory study of these adaptability traits were undertaken during a naval exercise. The exercise scenario was designed to progressively become more challenging, suggesting decreased performance and adaptability over time. The study objectives were to develop a data collection approach for adaptability traits and to investigate association between these traits and performance. Data collected from four command teams were evaluated in terms of response rate and item variation. Principal component analysis was used to explore latent structures and relationships. The results indicate acceptable survey response rates and trends showing a decrease in organizational adaptability and C2 agility over time while individual adaptability increased. The analysis also identified five partially independent components in the latent structure.
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Audrey Fertier, Aurélie Montarnal, Anne-Marie Barthe-Delanoë, Sébastien Truptil, & Frédérick Bénaben. (2016). Adoption of Big Data in Crisis Management. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Most agree that the innate complexity and uncertainty of a crisis compel the stakeholders to coordinate in a hurry, despite their heterogeneity or the volume of data to process. Supporting their coordination is now possible, thanks to a mediation system combined with big data management tools. The GéNéPi1 project explores this possibility and proposes to improve the generation of collaborative processes offered by the MISE2?s solution. The idea is to increase the number of usable data sources. To do that, in a fixed time-frame, the situation models have to be instantly generated upon sets of raw data. This new methodology holds the key to a new big data era: an age where global understanding reigns.
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Anne Marie Barthe, Sébastien Truptil, & Frédérick Bénaben. (2014). Agility of crisis response: Gathering and analyzing data through an event-driven platform. 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. 250–254). University Park, PA: The Pennsylvania State University.
Abstract: The goal of this article is to introduce a platform (called Agility Service) that gathers and analyses data coming from both crisis response and crisis field by using the principles of Complex Event Processing. As a crisis situation is an unstable phenomenon (by nature or by effect of the applied response), the crisis response may be irrelevant after a while: lack of resources, arrival of a new stakeholder, unreached objectives, over-crisis, etc. Gathering data, analyze and aggregate it to deduce relevant information concerning the current crisis situation, and making this information available to the crisis cell to support decision making: these are the purposes of the described platform. A use case based on the Fukushima's nuclear accident is developed to illustrate the use of the developed prototype.
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