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Rob Grace, & Hossein Baharmand. (2022). 19th ISCRAM Conference Proceedings. In ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 1–1080). Tarbes, France.
Abstract: The theme of ISCRAM 2022 was The Future Vision of Large-scale Crisis Management in a Post-COVID World. These proceedings highlight the range of interdisciplinary research required to understand the design, behavior, and performance of crisis and emergency management systems. We are pleased to present the included papers, which offer excellent contributions on a wide range of topics related to the use of information systems in crisis response and management.
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Per-Anders Oskarsson, Niklas Hallberg, Johan Nordström, Magdalena Granåsen, & Mari Olsén. (2022). Assessment of Collaborative Crisis Management Capability by Generic Questions. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 385–391). Tarbes, France.
Abstract: Societies need the ability to respond to crises such as terrorism, pandemics and natural disasters. Hence, it is essential to ensure that the capability of crisis management is attained, maintained, and developed. Since large crises cannot be handled by single organizations, collaborative crisis management capability is needed. The objective of this work was to provide support by an instrument for assessment of collaborative crisis management capability. The work was iteratively performed in a workgroup. The outcome was two templates with sets of generic questions, one for assessment of the actual capabilities and one for assessment of the preconditions of the capabilities. The templates mainly focus on assessment of collaborative crisis management capability. However, since the questions are generically formulated, they should be usable for assessments of any type of crisis management capability.
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Pauline Tobergte, Alena Knispel, Lennart Landsberg, & Ompe Aimé Mudimu. (2022). Evaluation of Tabletop Exercises in Emergency Response Research and Application in the Research Project SORTIE. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 415–427). Tarbes, France.
Abstract: This paper presents the fields of application of the tabletop exercise in emergency response by explaining the method in emergency response research. The authors illustrate the tabletop exercise of the Institute for Rescue Engineering and Civil Protection (IRG) of the TH Köln in a research project on Sensor Systems for Localization of Trapped Victims in Collapsed Infrastructure (acronym: SORTIE) as an application example. Subsequently, the quantitative and qualitative evaluation methods used generally and specifically for the tabletop exercise of the research project SORTIE are considered, and the technical implementation is explained. The evaluation method used in the tabletop exercise consists of three sub-areas (participant survey; exercise observation; photo, video and audio recordings). Further, the analysis of the evaluation using statistical tools is explained. Finally, this paper refers to possible sources of error in the evaluation of tabletop exercises, such as exercise artificiality and subjectivity of the exercise observers.
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Ophélie Morand, Caroline Rizza, Stéphane Safin, & Robert Larribau. (2022). Improving Cardiopulmonary Resuscitation by Building Trust between Dispatchers and Citizens through Simulation Workshop. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 791–802). Tarbes, France.
Abstract: Improving the survival rate of Out-of-Hospital Cardiac Arrest (OHCA) remains an important public health issue. Indeed, current survival rates are approximately 10% and can be significantly enhanced by early Cardiopulmonary reanimation (CPR) and early defibrillation. Bystanders are most likely to perform these acts, but few resources (such as digital apps) are dedicated to them due to a lack of confidence in their abilities from them and from the professionals. In order to build trust and collaboration between the dispatchers and the bystanders, an OHCA simulation workshop was conducted involving the whole survival chain. The main idea consisted in getting the participants to interact via an application dedicated to bystanders which provided a CPR demonstration video. The aim was to analyze the effects of this video on the CPR itself and especially on the lived-experience of the participants. A further objective was to assess how the shared workshop would affect the relationship between the stakeholders.
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Nils Bourgon, Benamara Farah, Alda Mari, Véronique Moriceau, Gaetan Chevalier, Laurent Leygue, et al. (2022). Are Sudden Crises Making me Collapse? Measuring Transfer Learning Performances on Urgency Detection. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 701–709). Tarbes, France.
Abstract: This paper aims at measuring transfer learning performances across different types of crises related to sudden or unexpected events (like earthquakes, terror attacks, explosions, technological incidents) that cannot be foreseen by emergency services and on the occurrence of which they have virtually no control. Although sudden crises are present in most existing crisis datasets, as far as we are aware, no one studied their impact on classifiers performances when evaluated in an out-of-type scenario in which models are tested on a particular type of crisis unseen during training. Our contribution is threefold: (1) A new dataset of about 3,800 French tweets related to four sudden events that occurred in France annotated for both relatedness (i.e., useful vs. not useful for emergency responders) and urgency (i.e., not useful vs. urgent vs. not urgent), (2) A set of monotask and multitask zero-shot learning experiments to transfer knowledge across events and types, and finally, (3) Experiments involving few-shot learning to measure the amount of sudden events instances needed during training to guarantee good performances. When compared to a cross-event setting, our preliminary results are encouraging and show that transfer from predictable ecological crisis to sudden events is feasible and constitutes a first step towards real-time crisis management systems from social media content.
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