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Abbas Ganji, Negin Alimohammadi, & Scott Miles. (2019). Challenges in Community Resilience Planning and Opportunities with Simulation Modeling. 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: The importance of community resilience has become increasingly recognized in emergency management and
post-disaster community well-being. To this end, three seismic resilience planning initiatives have been
conducted in the U.S. in the last decade to envision the current state of community resilience. Experts who
participated in these initiatives confronted challenges that must be addressed for future planning initiatives.
We interviewed eighteen participants to learn about the community resilience planning process, its
characteristics, and challenges. Conducting qualitative content analysis, we identify six main challenges to
community resilience planning: complex network systems; interdependencies among built environment systems;
inter-organizational collaboration; connections between the built environment and social systems;
communications between built environment and social institutions? experts; and communication among
decision-makers, social stakeholders, and community members. To overcome the identified challenges, we
discuss the capability of human-centered simulation modeling as a combination of simulation modeling and
human-centered design to facilitate community resilience planning.
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Abdelgawad, A. A. (2023). An Updated System Dynamics Model for Analysing the Cascading Effects of Critical Infrastructure Failures. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 595–608). Omaha, USA: University of Nebraska at Omaha.
Abstract: Aiming at examining the cascading effects of the failure of Critical Infrastructure (CI), this work-in-progress research introduces an improved System Dynamics model. We represent an improvement over the previous models aimed at studying CIs interdependencies and their cascading effects. Our model builds on earlier models and corrects their flaws. In addition to introducing structural enhancements, the improvements include using unpublished data, a fresh look at a previously collected dataset and employing a new data processing to address and resolve some longstanding issues. The dataset was fed to an optimisation model to produce a new dataset used in our model. The structure of our SD model, its dataset and the data processing techniques we employed to create this dataset are all described in the study. Although the model has passed the fundamental validation criteria, more validation testing and scenario exploration are yet to be conducted.
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Adam Widera, Sandra Lechtenberg, Gaby Gurczik, Sandra Bähr, & Bernd Hellingrath. (2017). Integrated Logistics and Transport Planning in Disaster Relief Operations. 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. 752–764). Albi, France: Iscram.
Abstract: Decision making in the area of humanitarian logistics and supply chain management often suffers because of the interrelations between planning horizons, tasks, and crisis management lifecycle phases. In this paper, we present a method, an exemplary prototypical implementation and its evaluation within a relief organization. Based on a structured literature analysis (a review of existing information systems as well as a consideration of ongoing research projects), basic requirements for an integrated logistics and transport planning approach were derived. Together with end-user involvement, these results were used to design and prototype a concept of an appropriate information system, which was applied and evaluated in a tabletop exercise. The generated results are promising in terms of having a positive impact on the logistics effectiveness. In combination with the identified limitations, our results promise to have an impact on future ISCRAM research.
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Kpotissan Adjetey-Bahun, Babiga Birregah, Eric Châtelet, Jean-Luc Planchet, & Edgar Laurens-Fonseca. (2014). A simulation-based approach to quantifying resilience indicators in a mass transportation system. 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. 75–79). University Park, PA: The Pennsylvania State University.
Abstract: A simulation-based model used to measure resilience indicators of the railway transportation system is presented. This model is tested through a perturbation scenario: the inoperability of a track which links two stations in the system. The performance of the system is modelled through two indicators: (a) the number of passengers that reach their destination and (b) the total delay of passengers after a serious perturbation. The number of passengers within a given station at a given time is considered as early warning in the model. Furthermore, a crisis management plan has been simulated for this perturbation scenario in order to help the system to recover quickly from this perturbation. This crisis management plan emphasizes the role and the importance of the proposed indicators when managing crises.
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Alexandre Ahmad, Olivier Balet, Jesse Himmelstein, Arjen Boin, Maaike Schaap, Paolo Brivio, et al. (2012). Interactive simulation technology for crisis management and training: The INDIGO project. 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: To face the urgent need to train strategic and operational managers in dealing with complex crises, we are researching and developing an innovative decision support system to be used for crisis management and interactive crisis training. This paper provides an overview of current decision-support systems, simulation software and other technologies specifically designed to serve crisis managers. These findings inform the design of a new interactive simulation technology system, where a 3D Common Operational Picture (COP) is shared between tactile digital whiteboard in the command center and mobile devices in the field. © 2012 ISCRAM.
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Ahmed Abdeltawab Abdelgawad. (2019). Reliability of expert estimates of cascading failures in Critical Infrastructure. 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: Owing to the complexity of Critical Infrastructures and the richness of issues to analyze, numerous approaches are used to model the behavior of CIs. Organizations having homeland security as mission often conduct desktop-based simulations using judgmental assessment of CI interdependencies and cascading failures. Expert estimates concern direct effects between the originally disrupted CI sector and other sectors. To better understand the magnitude of aggregate cascading effects, we developed a system dynamics model that uses expert estimates of cascading failures to compare the aggregate effect of cascading failures with the primary direct cascading failures. We find that the aggregate effect of compounded cascading failures becomes significantly greater than the primary cascading failures the longer the duration of the original disruption becomes. Our conceptually simple system dynamics model could be used to improve desktop-based exercises, since it illustrates consequences that go beyond judgmental assessment.
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Ahmed Laatabi, Benoit Gaudou, Chihab Hanachi, Patricia Stolf, & Sébastien Truptil. (2022). Coupling Agent-based Simulation with Optimization to Enhance Population Sheltering. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 116–132). Tarbes, France.
Abstract: Population sheltering is a recurrent problem in crisis management that requires addressing two aspects: evacuating vulnerable people using emergency vehicles and regulating movements of pedestrians and individual vehicles towards shelters. While these aspects have received considerable attention in modeling and simulation literature, very few approaches consider them simultaneously. In this paper, we argue that Agent-Based Modeling and Simulation (ABMS) and Optimization are two complementary approaches that can address the problem of sheltering globally and efficiently and be the basis of coherent frameworks for decision- and policy-making. Optimization can build efficient sheltering plans, and ABMS can explore what-if scenarios and use geospatial data to display results within a realistic environment. To illustrate the benefits of a framework based on this coupling approach, we simulate actual flash flood scenarios using real-world data from the city of Trèbes in South France. Local authorities may use the developed tools to plan and decide on sheltering strategies, notably, when and how to evacuate depending on available time and resources.
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Ahmed S. Khalaf, Poom Pianpak, Sultan A. Alharthi, Zahra NaminiMianji, Ruth Torres, Son Tran, et al. (2018). An Architecture for Simulating Drones in Mixed Reality Games to Explore Future Search and Rescue Scenarios. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 971–982). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: The proliferation of unmanned aerial systems (i.e., drones) can provide great value to the future of search and rescue. However, with the increase adoption of such systems, issues around hybrid human-drone team coordination and planning will arise. To address these early challenges, we provide insights into the development of testbeds in the form of mixed reality games with simulated drones. This research presents an architecture to address challenges and opportunities in using drones for search and rescue. On this architecture, we develop a mixed reality game in which human players engage with the physical world and with gameplay that is purely virtual. We expect the architecture to be useful to a range of researchers an practitioners, forming the basis for investigating and training within this unique, new domain.
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Amanda Jaber, Björn Johan Erik Johansson, Linnea Bergsten, Joeri Laere van, & Peter Berggren. (2019). Evaluating the observation protocol of the Team Resilience Assessment Method for Simulation (TRAMS). 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: This work in progress paper presents an initial evaluation of the observation protocol of the Team Resilience Assessment Method for Simulation (TRAMS) conducted in a crisis response simulation project. TRAMS is designed to assess the resilience of crisis response teams. The TRAMS observation protocol uses six core resilience functions from the Systemic Resilience Model as its theoretical foundation. Three independent observers used the protocol during a pilot study and six actual simulation games. Strategies relating to three out of six core resilience functions could be identified. The observations made were distributed similarly among the observers, indicating that the components of the TRAMS protocol are stable enough to continue developing the protocol. This study describes changes made to the protocol since the original design, and describes how the strategies relating to the six core resilience functions can be identified in the simulation games.
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Anne Marie Barthe, Sébastien Truptil, & Frédérick Bénaben. (2015). Towards a taxonomy of crisis management simulation tools. 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: Experimentation is an essential element to improve crisis management and to assess crisis management tools. Unfortunately, for the moment, real crisis management experimentations are episodic and generally focus on a specific geographical and/or thematic area. This is why the European DRIVER project aims to provide a test-bed platform where crisis management testing and experimentation can be carried out with a mix of live and simulated actions. To achieve this goal, simulation tools have to be identified, described and classified in order to (i) help the user to select tools and models based on the experimentation requirements and (ii) to allow the DRIVER platform to insure exchange information between simulated actions and live actions. This paper focuses on the taxonomy used to classify simulation tools relevant for crisis management. This taxonomy is divided into three main categories of characteristics: (i) business (type/topic of the simulation), (ii) legal (terms of use), (iii) technical (integration within the DRIVER platform and/or other crisis management (simulation) tools).
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Anying Chen, Guofeng Su, & Manchun Liang. (2019). Simulation of Crowd Response During Emergency Considering People's Rational and Irrational Thinking. 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: Human beings have been facing numerous emergencies which could threaten their property or even their lives in all ages. In order to learn how people respond to the emergencies like earthquakes and fire disasters, a two-stage simulation considering people?s rational thinking and irrational thinking was conducted. Results show that people?s irrational thinking, like the herd effect, could exaggerate people?s behavior of conformity, and it changes the spatial features that stronger herd effect leads to higher cohesion level. It is also worth mentioning that crowd response of condition of smaller population is harder to predict because of its instability, and the response of the very first part of people who make decisions could make great changes to the whole crowd?s response. These results could give some enlightenment on the evacuation instruction during emergencies and future research works.
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B. Betting, E. Varea, & B. Patte-Rouland. (2017). Smoke dynamics in compartment fires: large scale experiments and numerical simulations. 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. 879–889). Albi, France: Iscram.
Abstract: Today, during compartments fire, the decision-making of the rescue teams is mainly based on human decisions, which are the results of gathered experiences. However, a perfect knowledge of the situation, its evolution over time and the dangers that may appear is impossible. The transition between a localized fire and a generalized fire can take several forms. One of the most important vectors in the propagation of combustion for compartment fires is smoke due to its high temperature and the large amounts of energy it contains. Despite its extreme danger, smoke remains important to study because it convey valuable information, especially on the appearance of thermal phenomena feared by firemen. To carry out this study, a large scale experimental cell is used. A burner fueled with propane produces hot fumes in a so-called “real fire” configuration. All the measurements carried out are compared with LES (Large Eddy Simulation) simulations of the experiment using FDS. The numerical component allows defining scenarios (fire fully developed, fire under ventilated ...), which are verified by the experiments. The dual competence numerical /experimental data is essential in this type of study since the experimental data suffer from a lack of resolution (spatial, temporal) but nevertheless represent information necessary for validating the codes.
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Jane Barnett, William Wong, David Westley, Rick Adderley, & Michelle Smith. (2011). Startle points: A proposed framework for identifying situational cues, and developing realistic emergency training scenarios. 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: Real-world crises are not prescriptive and may contain unexpected events, described here as startle points. Including these events in emergency training simulator scenarios is crucial in order to prepare for startle points that may arise in the real world. Startle points occur when individuals who assess and monitor emergency scenarios, are suddenly faced with an unexpected event, and are unsure how to proceed. This paper offers a non-empirical framework that explores how cues generated by startle points affect decision making. Future research will use the framework to explore how experts and novices experience, and then adapt to startle points, as a function of decision mode, situation awareness, and emotional arousal. The resulting data can then be used to identify cues surrounding startle points and as a consequence, create dynamic scenarios for online training simulators so that individuals can prepare and adapt to them, and transfer acquired skills to real-world emergencies.
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Narjès Bellamine-Ben Saoud, Julie Dugdale, Bernard Pavard, Mohamed Ben Ahmed, Tarek Ben Mna, & Néjia Ben Touati. (2004). Towards planning for emergency activities in large-scale accidents: An interactive and generic agent-based simulator. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 173–177). Brussels: Royal Flemish Academy of Belgium.
Abstract: In this paper we describe the design and development of an interactive and generic agent based simulator, providing valuable support for organizing the emergency rescue plans of a large-scale accident. Analysis of real rescue activities has been conducted in collaboration with medical experts in order to understand the collaborative process and the involved actors and features. Based on the emergency analysis, an agent-based model and simulator was constructed including (1) the autonomous Agents – representing victims with evolving illness and rescuers (doctors, nurses, fireman) collaborating to rescue the first ones; (2) the Environment -representing the accident site having obstacles and dangerous areas and where the victims are initially spread and the doctors move to explore -perceive – treat and helpers evacuate; (3) the Interactions between rescuers – exploring collectively, evacuating by pairs, communicating directly or via artefacts- (4) the Organization of actors as distributed “independent” sub-teams in various site sub-zones or as a centralized whole team conducted by the rescue chief; and (5) the User interfaces allowing mainly initial configuration of the simulations (e.g. number of victims and states, followed strategies, rescuers behaviours), continuous visual control of the process of rescuing (e.g. site overview with acting-interacting agents, graphics, text descriptions), dynamic changes of parameters of an on-going simulation (e.g. adding new victims, adding new rescuers, or adding dangerous zones or new obstacles on sites) as well as step-by-step simulation. This simulation shows that it is possible to create a virtual environment with cooperating agents interacting in a dynamic environment. On-line and off-line analysis of simulation traces and results enable us first understanding complex situations in rescuing activities in large-scale accidents, and than planning for responding to crisis situation. This simulation approach is useful for identifying the best scenarios and eliminating potential catastrophic combinations of parameters and values, where rescue performance could be significantly impacted. © Proceedings ISCRAM 2004.
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T. Benjamins, & Leon J.M. Rothkrantz. (2007). Interactive simulation in crisis management. 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. 571–580). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Experiments in crisis management are expensive and difficult to realize. There is also a lack of training facilities in real crisis environments. Serious games and simulation can provide an alternative. We developed a system which enables interactive simulation for crisis management. It is called IMACSIM (Interactive Multi Agent Crisis Simulator Interpreter and Monitor). It is composed of the following components: First a software based platform for dynamic simulating of disasters. Next an event generator which can generate different crises situations. We designed a communication infrastructure that allows agents participants in the simulation to exchange messages. Every agent is able to observe the results of crisis events, process these events and initiate appropriate actions via a waypoint system. The decision making process is distributed among autonomous agents. Some actions may have an impact on the event generator, so there is an interaction between agents and event generator. We developed a first prototype. The design and test results will be described in this paper.
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Thomas Bernard, Mathias Braun, Olivier Piller, Denis Gilbert, Jochen Deuerlein, Andreas Korth, et al. (2013). SMaRT-OnlineWDN: Online security management and reliability toolkit for water distribution networks. 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. 171–176). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Water distribution Networks (WDNs) are critical infrastructures that are exposed to deliberate or accidental contamination. Until now, no monitoring system is capable of protecting a WDN in real time. In the immediate future water service utilities that are installing water quantity and quality sensors in their networks will be producing a continuous and huge data stream for treating. The main objective of the project SMaRT-OnlineWDN is the development of an online security management toolkit for water distribution networks that is based on sensor measurements of water quality as well as water quantity and online simulation. Its field of application ranges from detection of deliberate contamination, including source identification and decision support for effective countermeasures, to improved operation and control of a WDN under normal and abnormal conditions.
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Nitesh Bharosa, Marijn Janssen, & Harry Bouwman. (2010). Ex-ante evaluation of disaster information systems: A gaming-simulation approach. 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: Failures in coordination and information sharing between relief agencies have increased the number of calls for innovative information system (IS) designs. While both the academic and the industrial communities have proposed many IS designs, methodologies for the ex-ante evaluation of such IS designs are scarce. Consequently, disaster IS architects are offered little guidance in the ex-ante evaluation process. Not only is it difficult to evaluate IS designs in practice, it is also difficult to include the conditions of disaster situations in the evaluation process. This paper explores the difficulties of ex-ante evaluation and discusses the suitability of the gaming-simulation methodology for the evaluation of principle-based IS designs. Gaming-simulation entails the use of professionals, scenarios and prototypes and can be adapted to a quasi-experimental form enabling researchers to control contextual interferences and rule out alternative explanations. This paper concludes with some discussions on the advantages and pitfalls of employing gaming-simulation for IS evaluation.
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Nitesh Bharosa, Sebastiaan Meijer, Marijn Janssen, & Fritjof Brave. (2010). Are we prepared? Experiences from developing dashboards for disaster preparation. 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: Relief agency managers show growing interest in dashboards for assessing multi-agency disaster preparedness. Yet, there is a dearth of research on the development and use of dashboards for disaster preparation. Consequently, information system architects in the disaster management domain have little guidance in developing dashboards. Here, dashboards refer to digitalized visualizations of performance indicators. In this paper, we discuss the experiences gained from an action research project on the development of dashboards for assessing disaster preparedness. The objective of this paper is to discuss experiences and tradeoffs extracted from the development of dashboards in practice. We organized a two-day gaming-simulation with relief agency managers for the evaluation of the dashboards. While the relief agency managers acknowledged the usefulness of dashboards in the disaster preparation process and expressed their intention to use these in practice, they suggested that the formulation and clustering of performance indicators requires further research.
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Björn Johan Erik Johansson, Joeri van Laere, & Peter Berggren. (2018). Evaluating Team Resilience in Simulator-Based Crisis Management Training. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 914–923). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Currently, there is a lack of assessment approaches for evaluation of resilient capabilities in simulation games. This paper presents work-in-progress to create such an instrument to be used in crisis management simulation games for the fuel, food, and finance sectors. The “Team Resilience Assessment Method for Simulation” (TRAMS) is based on the Systemic Resilience Model and departs from the assumption that resilient crisis management teams will be able to develop strategies for assuring that anticipation, monitoring, response, recovery, and learning are established and maintained in their respective organizations as well as in the crisis management team. A prototype version of the TRAMS, based on the experiences of representatives from the involved sectors and firmly related to resilience theory, is presented and discussed. The TRAMS instrument will be tested in 30 planned simulations games including participants from the fuel, food, and finance sectors.
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Robert T. Brigantic, David S. Ebert, Courtney D. Corley, Ross Maciejewski, George A. Muller, & Aimee E. Taylor. (2010). Development of a quick look pandemic influenza modeling and visualization tool. 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: Federal, State, and local decision makers and public health officials must prepare and exercise complex plans to contend with a variety of possible mass casualty events, such as pandemic influenza. Through the provision of quick look tools (QLTs) focused on mass casualty events, such planning can be done with higher accuracy and more realism through the combination of interactive simulation and visualization in these tools. If an event happens, the QLTs can then be employed to rapidly assess and execute alternative mitigation strategies, and thereby minimize casualties. This can be achieved by conducting numerous “what-if” assessments prior to any event in order to assess potential health impacts (e.g., number of sick individuals), required community resources (e.g., vaccinations and hospital beds), and optimal mitigative decision strategies (e.g., school closures) during the course of a pandemic. In this presentation, we overview and demonstrate a pandemic influenza QLT, discuss some of the modeling methods and construct and visual analytic components and interface, and outline additional development concepts. These include the incorporation of a user selectable infectious disease palette, simultaneous visualization of decision alternatives, additional resource elements associated with emergency response (e.g., first responders and medical professionals), and provisions for other potential disaster events.
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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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Gaoussou Camara, Rim Djedidi, Sylvie Despres, & Moussa Lo. (2012). Towards an ontology for an epidemiological monitoring system. 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: Epidemiological monitoring systems are used to control the evolution of disease spreading and to suggest action plans to prevent identified risks. In this domain, risk prediction is based on quantitative approaches that are hardly usable when data collection is not possible. In this paper, a qualitative approach based on an epidemiological monitoring ontology is proposed. We describe the design of this ontology and show how it fits into classical monitoring systems and helps overcoming limits related to quantitative approaches. © 2012 ISCRAM.
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Bruce D. Campbell, Konrad E. Schroder, & Chris E. Weaver. (2010). RimSim visualization : An interactive tool for post-event sense making of a first response effort. 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: Upon developing a software agent-based simulator for training roles in emergency response scenarios, the PARVAC team at the University of Washington has pursued building a tool for better investigative review and insight generation on the performance of an emergency response game session team. While our RimSim Response software included the opportunity to re-run a simulated team performance in order to review player and agent behavior, we did not provide our trainees the ability to visually query their performance outside of a sequential review of the emergency response effort. By integrating our RSR visualization components with an existing visual query software package called Improvise, we were able to construct highly-coordinated visualizations of our data model for the ability to apply a sense making approach in the investigation of live player and software agent-based behavior – both as individual players and as combinations of players working on tasks associated with an emergency response scenario. The resultant tool is now our primary visualization tool for discussing first responder team performance and supports the overall RSR objective of training teams to make the most effective, recognition-primed decisions when a real emergency crisis occurs in their community. This paper reviews our visualization tool and demonstrates its use.
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Carole Adam, & Eric Andonoff. (2019). Vigi Flood: a serious game for understanding the challenges of crisis communication. 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: Emergency managers receive communication training about the importance of being ?first, right and credible?,
which is not easy. For instance, in October 2018, the Aude department in the South-West of France was hit by
intense rain. Flash floods were hard to forecast and only the ?orange? level of vigilance could be raised initially, but
the population dismissed this very usual warning in that season. The ?red? level was then raised too late, leading
to high criticism. The main problem here is the loss of trust induced by too many ?false alarms?. In this paper
we propose a serious game called VigiFlood for raising awareness in the population about the difficulty of crisis
communication and their own responsibility for reacting to the alerts. The implemented game still has limited
functionality but already shows interesting results in helping the user to visualise and understand the trust dynamics
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Carole Adam, & Hélène Arduin. (2022). Finding and Explaining Optimal Screening Strategies with Limited Tests during the COVID-19 Epidemics. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 102–115). Tarbes, France.
Abstract: The COVID-19 epidemics has now lasted for 2 years. A vaccine has been found, but other complementary measures are still required, in particular testing, tracing contacts, isolating infected individuals, and respecting sanitary measures (physical distancing, masks). However these measures are not always well accepted and many fake news circulate about the virus or the vaccine. We believe that explaining the mechanisms behind the epidemics and the reasons for the sanitary measures is key to protect the general population from disinformation. To this end, we have developed a simple agent-based epidemic simulator that includes various screening strategies. We show that it can be used to compare the efficiency of various targeting strategies, starting date, and number of daily tests. We also ran an optimisation algorithm that proves that the best strategies consist in testing widely and early. Our simulator is already available to play online, to raise awareness in the general population.
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