Guido Bruinsma, & Robert De Hoog. (2006). Exploring protocols for multidisciplinary disaster response using adaptive workflow simulation. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 53–65). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: The unique and dynamic changing nature in which a disaster unfolds forces emergency personnel involved with the mitigation process to be greatly flexible in their implementation of protocols. In past disasters the incapability of the disaster organization to swiftly adjust the workflow to the changing circumstances, has resulted in unnecessary delays and errors in mitigation. Addressing this issue, we propose and demonstrate a method for simulating disasters for work and protocol optimization in disasters response (TAID), based on the BRAHMS multi-agent modeling and simulation language. Our hypothesis is that this low fidelity simulation environment can effectively simulate work practice in dynamic environments to rearrange workflow and protocols. The results from an initial test simulation of the Hercules disaster at Eindhoven airport in the Netherlands look promising for future and broader application of our disaster simulation method.
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José H. Canós-Cerdá, Juan Sánchez-Díaz, Vicent Orts, Carmen Penadés, Abel Gómez, & Marcos R. S. Borges. (2014). Turning emergency plans into executable artifacts. 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. 498–502). University Park, PA: The Pennsylvania State University.
Abstract: On the way to the improvement of Emergency Plans, we show how a structured specification of the response procedures allows transforming static plans into dynamic, executable entities that can drive the way different actors participate in crisis responses. Additionally, the execution of plans requires the definition of information access mechanisms allowing execution engines to provide an actor with all the information resources he or she needs to accomplish a response task. We describe work in progress to improve the SAGA's Plan definition Module and Plan Execution Engine to support information-rich plan execution.
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Cossentino, M., Guastella, D. A., Lopes, S., & Sabatucci, L. (2023). Adaptive Execution of Workflows in Emergency Response. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 784–796). Omaha, USA: University of Nebraska at Omaha.
Abstract: In emergencies, preparation is of paramount importance but it is not sufficient. As we know, emergency agencies develop extensive (text) plans to deal with accidents that could occur in their territories; their personnel train to enact such procedures, but, despite that, the unpredictable conditions that occur during an emergency require the ability to adapt the plan promptly. This paper deals with the last mile of a process we defined for enabling the adaptive execution of such emergency plans. In previous works, we discussed how to convert a free-text plan into a structured-text form, represent this plan using standard modelling notations, and extract goals that plans prescribe to be fulfilled. In this paper, we propose an approach for executing these plans with a workflow execution engine enriched by the capability to support runtime adaptation.
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Wendy A. Edwards, Awais Vaid, & Ian S. Brooks. (2010). INDICATOR: An open-source cyberenvironment for biosurveillance. 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: In this paper, we discuss the architecture and implementation of INDICATOR, a free open source cyberenvironment for disease surveillance. Biosurveillance entails numerous tasks, including data acquisition and preparation, analysis, and reporting. These tasks can be modeled and executed as a workflow. Workflows encapsulate data, tools, and metadata. Cyberenvironments provide integrated, user-friendly sets of tools and services to marshal resources and help researchers analyze, visualize, and model their data. INDICATOR uses an Eclipse-based cyberenvironment that supports interactive workflow creation, connection to data and event streams, provenance tracking, and reuse of workflows and fragments to acquire, analyze, and visualize public health data.
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Marlen Hofmann, Stefan Sackmann, & Hans Betke. (2013). A novel architecture for disaster response workflow management systems. 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. 338–343). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Due to the shared focus of disaster response management (DRM) and business process management on activities as well as the obvious similarity of disaster response processes (DRP) and business processes, the application of workflow management systems (WfMS) has been discussed as a promising approach to manage DRP. However, the application of WfMS in DRM has not yet been realized in practice. One reason for this is the lack of methods and tools in WfMS for taking interdependencies between activities, time, resource, and place into consideration. This considerably restricts the variety of DRP. Therefore, a novel architecture for a disaster response workflow management system is discussed. A special focus lies on the management and analysis of interdependencies that is seen as very promising to improve future DRM.
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Jan Martin Jansen, Bas Lijnse, & Rinus Plasmeijer. (2010). Towards dynamic workflow support for crisis management. 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: Current process support technology for crisis management is often limited to either sharing of information or hard-coded process support through dedicated systems. Workflow management systems have the potential to improve crisis response operations by automating coordination aspects. Unfortunately most contemporary systems can only support static workflows, hence yielding inflexible support systems. Recent work on the use of functional programming techniques for workflow modeling has led to the development of the iTask system. It uses function combination to model dynamic data-driven processes and generates executable workflow support systems. Because of its focus on dynamic processes it appears promising for development of flexible crisis response systems. In this paper we present an initial discussion of the potential of the iTask system for crisis management applications. We give an overview of the iTask system, and discuss to what extent it meets the requirements of the crisis management domain.
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Johan Jenvald, Michael Morin, Toomas Timpka, & Henrik Eriksson. (2007). Simulation as decision support in pandemic influenza preparedness and response. 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. 295–304). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Outbreak of a destructive pandemic influenza threatens to disrupt societies worldwide. International agencies and national governments have prepared plans and recommendations, but it is often decision-makers with the local authorities that are responsible for implementing the response. A central issue for these decision makers is what interventions are available and effective for the specific local community. The paper presents a simulator architecture and its relation to a workflow for decision support in influenza preparedness and response. The simulator can simulate pandemic scenarios, using localized community models, in the presence of various interventions to support an evaluation of potential response strategies. The architecture includes a customized modeling tool, separated from the simulation engine, which facilitates swift scenario modification and recalculation. This flexibility is essential both to explore alternative solutions in planning, and to adapt to changing requirements, information, and resources in outbreak response. An example simulation, based on actual population data from a reference city, illustrates the approach.
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Bas Lijnse, Jan Martin Jansen, Ruud Nanne, & Rinus Plasmeijer. (2011). Capturing the Netherlands Coast Guard's SAR workflow with iTasks. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The dynamic nature of crisis response operations and the rigidity of workflow modelling languages are two things that do not go well together. A recent alternative approach to workflow management systems that allows for more flexibility is the iTask system. It uses an embedded functional language for the specification of workflow models that integrates control-flow with data-flow in dynamic data-dependent workflow specifications. Although there is a variety of publications about the iTask workflow definition language (WDL) and its implementation, its applications have been limited to academic toy examples. To explore the iTasks WDL for crisis response applications, we have developed an iTask specification of the Search And Rescue (SAR) workflow of the Netherlands Coast Guard. In this specification we capture the mix of standard procedures and creative improvisation of which a SAR operation exists.
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Marlen Hofmann, Hans Betke, & Stefan Sackmann. (2015). Automated Analysis and Adaptation of Disaster Response Processes with Place-Related Restrictions. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: For recent years, disaster response management is considered as a promising field for applying methods and tools from business process management. Especially the development of adaptive workflow management systems (WfMS) brought a process-oriented management of highly dynamic disaster response processes (DRP) within tangible reach. However, time criticality, unpredictability or complex and changing disaster reality make it impossible to analyze and adapt ongoing DRP within reasonable time manually. Hence, to foster the application of disaster response WfMS in practice, it becomes mandatory to develop methods supporting an (semi-)automated analyses and adaption of ongoing DRP. Addressing this research gap, we present a novel method called DRP-ADAPT which analyzes given DRP models with respect to place-related conflicts and resolves inoperable response activities (semi-)automatically by process adaptation.
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Matthias Max, & Johannes Sautter. (2013). Analysis of a German first responder exercise: Requirements for exercise-support and simulation. 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. 923–924). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The work of first responders is marked by unpredictable situations, quick decisions and peak performance. Gathering all important information related to an emergency situation forms the basis for a meaningful and purposeful planning and action. For example during an accident scene the execution of complex individual orders is crucial. The many rescue facilities, rescue vehicles, and first responders needed lead to complex workflows. Real-life exercises are necessary to train controllers and first responders in handling these special situations, but are difficult and costly to organize. This paper gives a short overview of such an exercise and draws a rough practitioner-based vision of a potential simulation-based interactive system that could support exercise leaders and decision makers towards an effective utilization of real-life exercise data.
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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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Stefan Sackmann, Marlen Hofmann, & Hans Betke. (2013). Towards the Integration of Place-related Information in Disaster Response Processes. 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. 78–83). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Processes in disaster response management (DRM) and business processes are similar due to their general structure and goals. This encourages us to analyze the suitability of business process management tools and methods in the domain of DRM. One main challenge is the coverage of disaster specific aspects by existing process modeling languages. Since interdependencies between time, activities, and place are critical for process planning, we discuss the necessity for model extension. A special focus lies on the integration of place-related information as well as interdependencies resulting from stationary and mobile activities and resources. The integration of such place-related information is discussed as pre-condition for effective and efficient planning of disaster response processes and their successful management by disaster response workflow management systems.
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Christian Sell, & Iris Braun. (2009). Using a workflow management system to manage emergency plans. 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: In the event of a disaster in Germany a so-called executive staff is set up. In support of their work they refer to emergency plans, which describe the chronological order of a set of suitable measures for a dedicated event e.g. an evacuation. These plans only exist in the form of large printed documents. Hence, the technical support for executing emergency plans is very limited. In this paper we present a model for a workflow management system (WfMS) for supporting the modeling, execution and management of emergency plans before and during a disaster. It is based on the idea that emergency plans are similar to business processes and can therefore be modeled as workflows. In contrast to most traditional WfMS, the introduced approach supports unstructured activities and their delegation as well as the management of resources. Furthermore, we analyze drawbacks of the current process for disaster management using emergency plans.
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Maarten Van Someren, Niels Netten, Vanessa Evers, Henriette Cramer, Robert De Hoog, & Guido Bruinsma. (2005). A trainable information distribution system to support crisis management. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 203–206). Brussels: Royal Flemish Academy of Belgium.
Abstract: Crisis response and management involve multiple collaborative actors who execute tasks in a dynamic setting. For the effectiveness of collaboration and crisis fighting it is essential that all actors have access to relevant information necessary for their tasks. Managing the information flow, i.e. presenting the right information to the right person at the right time, is of great importance. However, the complexity of a crisis event makes it very difficult to keep an overview of all ongoing activities and information flow within the entire crisis environment. In this paper we address the problem of selecting and distributing information to users as a function of their characteristics, tasks and the state of their workflows in a collaborative setting. In particular, we propose a trainable system for information distribution that will be able to support the dynamic nature of collaborative processes and provide users with task-relevant information. We expect that this will reduce problems due to information overload and will lead to more effective collaboration between all actors in the crisis management environment.
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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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