Patricia Quiroz-Palma, Ma Carmen Penadés, & Ana-Gabriela Núñez. (2020). Resilience Learning for Emergency Plan Management in Organizations. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 558–567). Blacksburg, VA (USA): Virginia Tech.
Abstract: Many governments, organizations, practitioners and researchers involved in collaboration on resilience in emergency management are agreed that this is a key aspect. The QuEP+R framework aims to improve resilience in an organization's emergency plan management, in which the stakeholders must be adequately prepared and trained for their responsibilities in the emergency plan, providing techniques that propose the improvement of the emergency plan besides resilience. However, for these techniques to be effective, organizations need the theoretical resilience proposed in QuE+R to be implemented. The CiET framework was designed for this purpose and has learning objectives and training contents related to QuEP+R techniques to train stakeholders. The CiET capability plan contents have been classified by resilience dimensions towards the optimization of resilience in emergency plan management. The integration is supported by I+R-Tool, which generates the capability plans automatically from the results of the QuEP+R assessment, which outcomes in a stakeholder's effective training, contributing to the optimization and improvement of the resilience, therefore, in improving the quality of emergency plans. Hence, the aim remains to search for the continuous improvement of the emergency plan management within organizations.
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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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Peng Xia, Ji Ruan, & Dave Parry. (2018). Virtual Reality for Emergency Healthcare Training. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 494–503). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: Given the rising trend of natural and technological disasters in recent years, the demands for emergency responders are on the rise. One main challenge is how to cost-effectively train emergency responders. In this research, we aim to explore of the usage of Virtual Reality (VR) technology in an emergency healthcare training setting. We start with the following two research questions: (1) how to implement the VR technology to be used in the emergency healthcare training; and (2) how to evaluate the effectiveness of our implementation. To address the question (1), we construct emergency healthcare workflows from reference sources, convert them into process diagrams, and develop a VR software that allows users to carry out the processes in a virtual environment. To address question (2), we design an experiment that collect participants's personal data (features such as Age, Technical background etc.) and the performance data (such as timespan, avatar moving distance, etc.) generated during the training sessions. Ten participants were recruited and each performed three training sessions. We evaluate the data collected and have the following three conclusions: (a) despite the different personal features, the participants, after repeated trainings, can improve their performance with reduced timespan and moving distance; and (b) the technical background plays the most significant role among other features in affecting timespan in our VR-based training.
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Peng Xia, Ji Ruan, Dave Parry, Jian Yu, & Sally Britnell. (2023). Enhancing Triage Training for Mass Casualty Incidents with Virtual Reality and Artificial Intelligence. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 68–76). Palmerston North, New Zealand: Massey Unversity.
Abstract: Mass casualty incidents (MCIs) occur with natural or man-made disasters. Training emergency staff for combating MCIs is essential, but the cost can be high as such incidents rarely occur, and a physical simulation is resource-intensive. Triage is a critical task in dealing with MCIs. In this paper, we propose to use Virtual Reality (VR) and Artificial Intelligence (AI) technologies to build a low-cost, high-efficient system for MCI triage training. Our system captures more comprehensive training data and utilizes state-of-the-art AI evaluation methods.
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Peter Berggren, Mateo Herrera Velasquez, Jenny Pettersson, Oscar Henning, Henrik Lidberg, & Björn J E Johansson. (2018). Reflection in Teams for Training of Prehospital Command and Control Teams. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 203–211). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Prehospital command and control (PS) is a structure for handling medical accidents in Sweden. It includes terminology, command structure, roles, and performance indicators. The concept is taught and trained at the Centre for Teaching and Research in Disaster Medicine and Traumatology (KMC). The concept is trained using a mixture of lectures, simulation based exercises, and scenario designed by the participants. The scenarios are ran in Emergo Train System (ETS), a versatile and flexible table-top simulation platform, where medical command and control can be trained and evaluated. The purpose of this study was to develop structure for feedback and reflection by using a measure of shared understanding. The empirical study presents how the Shared Priorities instrument can be used to provide structured feedback for training. The paper is concluded with a discussion on how the empirical findings can be integrated in training prehospital medical command and control.
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Jens Pottebaum, Robin Marterer, & Steffen Schneider. (2014). Taxonomy of IT support for training emergency response & management. 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. 374–378). University Park, PA: The Pennsylvania State University.
Abstract: Training is a prerequisite for effective and efficient emergency response and management. Information technology (IT) offers high potential to support various educational methods and environments. One example for interdependent use cases is given by planning, controlling, observation and debriefing of training exercises. Dedicated IT systems are available to support these use cases; nevertheless, there is no joint understanding of system use cases, types and functionality as a fundament for scientific and technological progress. This work in progress paper presents results of literature and market research complemented by expert interviews leading to a taxonomy of relevant IT components and systems.
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Rahul Pandey, Brenda Bannan, & Hemant Purohit. (2020). CitizenHelper-training: AI-infused System for Multimodal Analytics to assist Training Exercise Debriefs at Emergency Services. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 42–53). Blacksburg, VA (USA): Virginia Tech.
Abstract: The adoption of Artificial Intelligence (AI) technologies across various real-world applications for human performance augmentation demonstrates an unprecedented opportunity for emergency management. However, the current exploration of AI technologies such as computer vision and natural language processing is highly focused on emergency response and less investigated for the preparedness and mitigation phases. The training exercises for emergency services are critical to preparing responders to perform effectively in the real-world, providing a venue to leverage AI technologies. In this paper, we demonstrate an application of AI to address the challenges in augmenting the performance of instructors or trainers in such training exercises in real-time, with the explicit aim of reducing cognitive overload in extracting relevant knowledge from the voluminous multimodal data including video recordings and IoT sensor streams. We present an AI-infused system design for multimodal stream analytics and lessons from its use during a regional training exercise for active violence events.
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Rahul Pandey, Gaurav Bahl, & Hemant Purohit. (2019). EMAssistant: A Learning Analytics System for Social and Web Data Filtering to Assist Trainees and Volunteers of Emergency Services. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: An increasing number of Machine Learning based systems are being designed to filter and visualize the relevant
information from social media and web streams for disaster management. Given the dynamic disaster events, the
notion of relevant information evolves, and thus, the active learning techniques are often considered to keep
updating the predictive models for the relevant information filtering. However, the active relevant feedback
provided by the human annotators to update the models are not validated. As a result, they can introduce
unconscious biases in the learning process of humans and can result in an inaccurate or inefficient predictive
system. Therefore, this paper describes the design and implementation of an open-source technology-based
learning analytics system ? EMAssistant ? for the emergency volunteers or practitioners – referred as the trainee, to
enhance their experiential learning cycle with the cause-effect reasoning on providing relevant feedback to the
machine learning model. This continuous integration between the cause (providing feedback) and the effect
(observing predictions from the updated model) in a visual form will likely to improve the understanding of the
trainees to provide more accurate feedback. We propose to present the system design as well as provide
hands-on exercises for the conference session.
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Amy Rankin, Rita Kovordanyi, Joris Field, & Henrik Eriksson. (2012). Instructor's tasks in crisis management training. 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 crisis management exercises the instructor's performance is critical to the success of the training. It is their responsibility to monitor and evaluate the exercise, as well as appropriately adjust and adapt the scenario to the unfolding events. Despite the importance of the instructor's skills in crisis management training little has been documented regarding successful methods or common pitfalls. The study presented in this paper is exploratory and aimed at investigating how instructors monitor and control large scale crisis management exercises. The results are intended to be used as a basis for further investigation on how instructors can be supported in virtual reality training systems. A summary of results from interviews is presented and followed by observations reports from two live exercises. Finally, key areas for instructor support in virtual-reality training systems are identified. © 2012 ISCRAM.
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Christian Reuter, Volkmar Pipek, & Claudia Mueller. (2009). Computer supported collaborative training in crisis communication management. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Crisis management requires stakeholders to not only show strategic, organisational preparedness for crisis events (e.g. by systematising and professionalizing coping work), but also to develop skills to deal with unanticipated events and other stakeholders involved in the same crisis. They should not only rely on established information flows and behaviour patterns, but should be able to deal with situational aspects. This usually involves communication work within and between organisations involved in crisis management. We describe the practice of the crisis communication training of a German electricity provider and the prototype we developed, implemented and evaluated. The collaborative training tool targets not only the local practice, but aims at inter-organisational trainings that would also allow improving the mutual understanding for communication practices and information needs of other stakeholders.
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Rode-Hasinger, S., Haberle, M., Racek, D., Kruspe, A., & Zhu Xiao Xiang. (2023). TweEvent: A dataset of Twitter messages about events in the Ukraine conflict. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 407–416). Omaha, USA: University of Nebraska at Omaha.
Abstract: Information about incidents within a conflict, e.g., shelling of an area of interest, is scattered amongst different data or media sources. For example, the ACLED dataset continuously documents local incidents recorded within the context of a specific conflict such as Russia’s war in Ukraine. However, these blocks of information might be incomplete. Therefore, it is useful to collect data from several sources to enrich the information pool of a certain incident. In this paper, we present a dataset of social media messages covering the same war events as those collected in the ACLED dataset. The information is extracted from automatically geocoded Twitter text data using state-of-the-art natural language processing methods based on large pre-trained language models (LMs). Our method can be applied to various textual data sources. Both the data as well as the approach can serve to help human analysts obtain a broader understanding of conflict events.
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Beate Rottkemper, & Kathrin Fischer. (2013). Decision making in humanitarian logistics – A multi-objective optimization model for relocating relief goods during disaster recovery operations. 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. 647–657). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Disaster recovery operations rarely proceed smoothly and disruptions often require the redistribution of relief items. Such a redistribution has to be carried out taking into account both the current disruption and the uncertainty regarding possible future incidents in the respective area. As decisions have to be made fast in humanitarian operations, extensive optimization runs cannot be conducted in such a situation. Nevertheless, sensible decisions should be made to ensure an efficient redistribution, considering not only satisfaction of needs but also operational costs, as the budget is usually scarce in the recovery phase of a disaster. In this work, different scenarios are generated and then solved with a multiobjective optimization model to explore possible developments. By evaluating the results of these scenarios, decision rules are identified which can support the decision maker in the actual disaster situation in making fast, but nevertheless well-founded, decisions.
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Jan Rudinsky, & Ebba Thora Hvannberg. (2013). Communication interface for virtual training of crisis management. 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. 125–134). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Since crisis management training requires extensive resources, a computer-simulated environment where communication plays a crucial role, can be an effective and efficient way to complement real-life training. With the aim of designing a simplified communication interface for a training simulator, this paper analyzes the complex communication network of crisis management, based on observations of a real-life, large-scale exercise of emergency services. Three research objectives were pursued to reach this goal. The results show that a selection of the most useful communication metaphors suggests that face-to-face and radio should be provided in a virtual environment. Consolidation of the communication groups highlights two groups, namely, the first responders and commanders. And, the analysis of the communication flow identifies different roles and the information flow between and within the groups. With this approach we aim to provide a single, multi-role interface that will be easily scalable and reconfigurable, while saving implementation costs.
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Usha Satish, & Siegfried Streufert. (2004). Training to defend: Strategic management simulations. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 157–160). Brussels: Royal Flemish Academy of Belgium.
Abstract: Terrorism is defined by a philosophy of revolutionary violence and a commitment to the destruction of government power. Of course, one way to reduce vulnerability to these impacts is heightened security. However, we must be a step ahead of terrorists: we must prevent their intended actions whenever possible. Most measures of decision-making competence focus on “content,” i.e. on “what” decision makers know, on what their thought processes are, and on whether the decisions they make are correct. However complex, volatile, ambiguous task environments involving uncertainty and delayed feedback provide challenges and generate levels of stress, which interfere with appropriate decision making. A “correct” decision may not be easily available. Many well-trained individuals will be at a loss and may make errors (e.g., because they may select the most immediately evident, yet not the most appropriate options). The use of a well-validated methodology, Strategic Management Simulations (SMS) to assess and train decision makers is presented. © Proceedings ISCRAM 2004.
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Benjamin Schooley, Abdullah Murad, Yousef Abed, & Thomas Horan. (2013). A mHealth system for patient handover in emergency medical services. 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. 188–198). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: This research uses multiple methods to investigate the use of an enterprise mobile multimedia information system aimed at improving handover of patient and emergency incident information from pre-hospital Emergency Medical Services (EMS) to hospital emergency department providers. A field study was conducted across EMS and hospital organizations in the Boise, Idaho region of the United States for three months to examine use of the system and to assess practitioner perspectives. Findings include perceived benefits and challenges to using digital audio recordings and digital pictures, captured using a smartphone application, for improving the timeliness, completeness, accuracy, convenience, and security of patient information for handover in EMS; limitations on how much data can be collected in the field due to a wide variety of contextual constraints; and a need to better understand the value of video within the EMS handover context.
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Sebastian Schmitz, Lennart Landsberg, Tim Brüstle, Johannes Weinem, & Ompe Aimé Mudimu. (2018). Evaluation of a flying localization system for the rescue of buried victims – A scenario based training approach. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 1143–1147). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: The objective of this study was to develop various scenarios for evaluating an unmanned aerial vehicle that is developed for the localization of buried people after a building collapse. To test their concept of implementing this system into the command structure of organized first response the authors plan to carry out a tabletop exercise in laboratory scale and a large-scale exercise. Scenario based training is used as methodic approach for these exercises. To develop realistic scenarios, relevant national and international organizations and their requirements have been identified. Also, the requirements of the localization system have been taken into account. Furthermore, real incidents have been analyzed and their match with the requirements has been verified. As result one national and one international scenario, based on real incidents, are developed.
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Simone De Kleermaeker, & Loana Arentz. (2012). Serious gaming intraining for crisis response. 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 practitioner report, we present the experiences with the use of the serious game Water Coach in a national training for crisis response professionals in the Netherlands. This paper describes the set-up of the training and its learning objectives. We explain the usability of the Water Coach in such a training and the extended functionalities that were required. Finally, the evaluation of the training, in which we focus on the added value of a serious game in the training for crisis response, is presented. © 2012 ISCRAM.
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Alexander Smirnov, Mikhail Pashkin, Nikolay Shilov, & Tatiana Levashova. (2007). Intelligent support of context-based megadisaster management: Hybrid technology and case study. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 305–316). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The situation with the hurricane Katrina showed that the conventional tiered response to disaster event, whereby state and local officials are responsible for the first few days, does not work well in case of megadisasters (massive hurricanes, earthquakes, large-scale acts of terrorism, etc.). Such situations require application of new technologies for preparing the operation, interoperability between the operation participants, and decision support for officials. Here presented approach proposes a context-driven decision support schema based on integration of such technologies as context & ontology management and constraint satisfaction. The application of the approach is illustrated via a case study of a portable hospital arrangement.
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Alexander Smirnov, Nikolay Shilov, Tatiana Levashova, & Alexey Kashevnik. (2008). Web-service network for disaster 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. 516–525). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The paper addresses the issue of context-aware operational decision support in emergency situations. A decision support system (DSS) developed for this purpose is implemented as a network of a set of Web-services. The Web-services try to organise a service network according to context. Here the context is proposed to be modelled as a “problem model”. It specifies problems to be solved in a particular kind of emergency situation. Context is produced based on the knowledge extracted from the application domain (application ontology) and formalised by a set of constraints. The purpose of the service network is provision the DSS with contextualised information from diverse information sources and solving problems specified in the context. In the framework of context-aware operational decision support, composition of the application ontology for the disaster management domain from the Semantic Web Ontologies is discussed and a hybrid technology of context-aware operational decision support is presented. The technology is based on ontology management, context management, constraint satisfaction, and Web Services. Application of the ideas above is illustrated by an example of a decision support system for real-time resource coordination and situation awareness for logistics management in fire response operations.
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Kip Smith, & Ida Lindgren. (2010). Predicting group faultlines in multinational crisis response teams. 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: Education in crisis response traditionally includes formal field exercises that attempt to replicate to some extent the chaos and complexity of an emergency situation. Part of the complexity facing multinational teams of crisis response professionals is diversity within the team itself. In this paper we discuss the group faultline model of diversity and its impact on team performance. Faultlines exist wherever there is diversity. When faultlines become active – And only when they become active – They form barriers to team cohesion and impediments to team performance. We propose that it is eminently feasible to develop a toolkit that managers of multinational crisis response teams can use to identify and span group faultlines. We identify two classes of tools. The first is a questionnaire that elicits information that can be used to (1) infer faultline length and to predict the relative likelihood of activation, and (2) identify (individual) team members who can span a ruptured faultline and facilitate team cohesion. The identification suggests appropriate actions that the instructor can take to help the team bridge the rift. The second tool in the kit is a checklist of defensive routines – policies and actions that attempt to save face – That can be used to identify faultline rupture. We are currently working at developing the tools in this toolkit.
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Min Song, & Peishih Chang. (2008). Automatic extraction of abbreviation for emergency management websites. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 93–100). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we present a novel approach to reduce information proliferation and aid better information structure by automatically generating extraction of abbreviation for emergency management websites. 5.7 Giga Byte web data from 624 emergency management related web sites is collected and a list of acronyms is automatically generated by proposed system (AbbrevExtractor). Being the first attempt of applying abbreviation extraction to the field, this work is expected to provide comprehensive and timely information for emergency management communities in emergency preparedness, training and education. Future work is likely to involve more data collection and intelligent text analysis for dynamically maintaining and updating the list of acronyms and abbreviations.
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Steen-Tveit, K., Snaprud, M. H., Heinecke, J. E., & Fure Nora. (2023). Towards a Co-Created Emergency Management Collaboration Repository. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 20–32). Omaha, USA: University of Nebraska at Omaha.
Abstract: The need for information systems (ISs) to aid emergency management (EM) has been well established. Yet, despite the acknowledged benefits of ISs for EM, the support of ISs in the preparedness phase is weak. Complex EM operations require coordinated efforts across emergency organizations, which are facing enormous challenges related to the method of collaboration to cope with the impact. This paper presents an ongoing project initiated to develop an emergency management collaboration repository for a range of emergency responders, focusing on emergency cross-organizational collaboration, information sharing, exercises, and evaluations. A participatory design approach was applied for the system requirements elicitation and was carried out in two workshops with several EM stakeholders.
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J. Renze Steenhuisen, Mathijs M. De Weerdt, & Cees Witteveen. (2007). Enabling agility through coordinating temporally constrained planning agents. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 457–466). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In crisis response, hierarchical organizations are being replaced by dynamic assemblies of autonomous agents that promise more agility. However, these autonomous agents might cause a decrease in effectiveness when individually constructed plans for moderately-coupled tasks are not jointly feasible. Existing coordination techniques can be applied in the pre-planning phase to guarantee feasible joint plans for partially-ordered tasks. Temporal relations in crisis response are often more complex than the simple precedence relations in current work. Therefore, we analyze whether temporal information can be dealt with by a conversion to partially-ordered tasks with only precedence constraints. Time windows and two temporal constraints (overlaps and during) can be rewritten in such a way that the task remains partially-ordered. When other temporal constraints (meets, starts, finishes, and equals) are used, tasks become tightly-coupled, requiring coordination in the execution phase as well. This work shows the applicability of pre-planning coordination as an enabling technology for the effective formation of agile organizations.
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Siegfried Streufert. (2005). Emergency decision making and metacomplexity. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 67–73). Brussels: Royal Flemish Academy of Belgium.
Abstract: It is important to understand the cognitive processes underlying emergency decision-making. Cognitive/behavioral complexity theory has successfully predicted human decision making characteristics on a number of dimensions and for a variety of settings. Moreover, theory based training technologies have been successful. The advent of meta-complexity theory as well as the increased stressor levels generated by terrorism and other contemporary challenges, however, require that we review and extend theoretical predictions for decision processes. This paper provides a series of meta-complexity based predictions about the impact of stressor events upon nine primary decision making areas that vary from simpler trough highly complex thought and action processes.
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Sultan A. Alharthi, Nick LaLone, Ahmed S. Khalaf, Ruth Torres, Lennart Nacke, Igor Dolgov, et al. (2018). Practical Insights into the Design of Future Disaster Response Training Simulations. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 818–830). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: A primary component of disaster response is training. These educational exercises provide responders with the knowledge and skills needed to be prepared when disasters happen. However, traditional training methods, such as high-fidelity simulations (e.g., real-life drills) and classroom courses, may fall short of providing effective and cost-efficient training that is needed for today's challenges. Advances in technology open a wide range of opportunities for training using computer-mediated simulations and exercises. These exercises include the use of mixed reality games and wearable computers. Existing studies report on the usefulness of these technologies for training purposes. This review paper synthesizes prior research and development of disaster response simulations and identifies challenges, opportunities, and lessons learned. Through this review, we provide researchers and designers with an overview of current practices in designing training simulations and contribute practical insights into the design of future disaster response training.
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