Flávio E. A. Horita, & João Porto De Albuquerque. (2013). An approach to support decision-making in disaster management based on volunteer geographic information (VGI) and spatial decision support systems (SDSS). 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. 301–306). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The damage caused by recent events in Japan in 2011 and USA in 2012 highlighted the need to adopt measures to increase the resilience of communities against extreme events and disasters. In addition to the conventional and official information that is necessary for adaptation to disasters, recently, common citizens residents in the affected areas also began contributing with voluntary qualified and updated information. In this context, this work-in-progress presents an approach that uses voluntary information – Also known by VGI (Volunteered Geographic Information) – As a data source for Spatial Decision Support Systems (SDSS) in order to assist the decision-making in disaster management. Our approach consists of a framework that integrates voluntary and conventional data, a SDSS and processes and methods for decision-making. As a result, it is expected that this approach will assist official organizations in disaster management by providing mechanisms and information.
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Flávio E. A. Horita, Maria C. Fava, Eduardo M. Mendiondo, Jairo Rotava, Vladimir C. Souza, Jo Ueyama, et al. (2014). AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring. 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. 304–313). University Park, PA: The Pennsylvania State University.
Abstract: Flood management is an important approach to reduce damage caused by floods. In this context, technological architectures which work in real-time are needed. However, Brazil has faced many structural difficulties in obtaining updated information on the current state of its rivers. To address this problem, this paper outlines a geosensor dashboard called AGORA-GeoDash, which processes data streams from wireless sensor networks and makes them available in the form of a set of performance indicators that are essential to support real-time decision-making in flood risk monitoring. The dashboard was built on open-source frameworks, made use of geoservices that comply with the standards of Open Geospatial Consortium, and established a Wireless Sensor Network which monitors the rivers of São Carlos/SP in Brazil. The analysis of the indicators available in two rainfall events revealed that the dashboard can provide the key information required for the decision-making process involved in flood risk management.
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Xiaofeng Hu, Shifei Shen, & Jiansong Wu. (2012). Modeling of attacking and defending strategies in situations with intentional threats. 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: Intentional threats including terrorism have become a worldwide catastrophe risk since recent years. To protect the cities from being attacked, the macro-level study of decision analysis should be given more considerations. In this paper, we proposed a model for describing the strategic game between attackers and defenders based on the methodology of matrix game. This model can be employed to determine which target will be selected by attackers and which attacking strategy and defending strategy will be chosen by attackers and defenders respectively. Furthermore, the defenders of the city can use this model to set priorities among their defending strategies. The importance of this work is to establish a reasonable framework for modeling the attacking and defending strategies rather than assessing the real risk of urban targets, so the model is illustrated by using fictitious numbers. The model proposed in this paper can provide scientific basis for macroscopic decision making in responding to intentional threats. © 2012 ISCRAM.
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Yasir Javed, Tony Norris, & David Johnston. (2010). Design approach to an emergency decision support system for mass evacuation. 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: This paper is directed primarily to investigating the information needs of emergency managers following recognition of a risk of volcanic eruption. These needs include type of information required during the collection, integration, synthesis, presentation, and sharing of information. This will identify and model the processes underpinning the design of an emergency decision support system (EDSS). Exploration of the information needs, flows, and processes involved in emergency decision making can improve the design of EDSS both in terms of their content and the all-important human-system interfaces that determine their usability.The information attributes and flows then lead to the development of a prototype system that can be evaluated to test and refine the concepts.
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Yasir Javed, Tony Norris, & David Johnston. (2011). Ontology-based inference to enhance team situation awareness in emergency management. 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: In this paper, we propose the use of an ontology-based and semantic technologies approach to improving shared situation awareness amongst teams dealing with emergency situations. We have also identified that shared and team situation awareness tends to be viewed only in terms of cooperative task completion and so we have tried to describe their important relationship with team decision making. The applicability of our approaches is demonstrated by a case study of mass evacuation in the case of a tsunami event. We show how ontology can be used to represent context-based situations and how the axioms and rules can improve team situation awareness.
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Yasir Javed, Tony Norris, & David Johnston. (2012). Evaluating SAVER: Measuring shared and team situation awareness of emergency decision makers. 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: Large scale emergencies are usually responded to by a team of emergency managers or a number of sub teams for safety and efficiency. Team coordination has attracted considerable research interest, especially from the cognitive, human factors, and ergonomic aspects because shared situation awareness (SSA) and team situation awareness (TSA) of team members are critical for optimal decision making. This paper describes the development of an information system (SAVER) based on SSA and TSA oriented systems design. Validation and evaluation of the implemented design show that decision performance is improved by the SAVER system. © 2012 ISCRAM.
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Jennings Anderson, Marina Kogan, Melissa Bica, Leysia Palen, Kenneth Anderson, Rebecca Morss, et al. (2016). Far Far Away in Far Rockaway: Responses to Risks and Impacts during Hurricane Sandy through First-Person Social Media Narratives. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: When Hurricane Sandy swept over the US eastern seaboard in October 2012, it was the most tweeted about event at the time. However, some of the most affected areas were underrepresented in the social media conversation about Sandy. Here, we examine the hurricane-related experiences and behaviors shared on Twitter by residents of Far Rockaway, a New York City neighborhood that is geographically and socioeconomically vulnerable to disasters, which was significantly affected by the storm. By carefully filtering the vast Twitter data, we focus on 41 Far Rockaway residents who offer rich personal accounts of their experience with Sandy. Analyzing their first-person narratives, we see risk perception and protective decision-making behavior in their data. We also find themes of invisibility and neglect when residents expressed feeling abandoned by the media, the city government, and the overall relief efforts in the aftermath of Sandy.
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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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Satria Hutomo Jihan, & Aviv Segev. (2013). Context ontology for humanitarian assistance in crisis response. 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. 526–535). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Massive crisis open data is not fully utilized to identify humanitarian needs because most of it is not in a structured format, thus hindering machines to interpret it automatically and process it in a short time into useful information for decision makers. To address these problems, the paper presents a method which merges ontologies and logic rules to represent the humanitarian needs and recommend appropriate humanitarian responses. The main advantage of the method is to identify humanitarian needs and to prioritize humanitarian responses automatically so that the decision makers are not overwhelmed with massive and unrelated information and can focus more on implementing the solutions. The method is implemented on real data from the Hurricane Wilma crisis. The use of the method in the hurricane Wilma crisis shows the potential abilities to identify the humanitarian needs in specific places and to prioritize humanitarian responses in real time.
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Jill L. Drury, Gary L. Klein, Jennifer Mathieu, Yikun Liu, & Mark Pfaff. (2013). Sympathetic decisions: Incorporating impacts on others into emergency response decision spaces. 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. 199–209). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: We designed two decision support tools and employed them during a one-week, simulation-driven experiment that included emergency responders acting in their real-life roles. Each tool visualized a “decision space”: A diagrammatic depiction of the relative desirability of one option versus another, including the inherent uncertainty in the potential outcomes. One requirement was to develop a tool accounting for the impacts of decisions on others, so that emergency responders can make “sympathetic decisions.” For example, one decision space enabled responders to request resources from surrounding jurisdictions while also considering the potential negative effects on the lending organizations. Another decision space enabled responders to engage in a strategic dialogue with the public: “listening” to the public's greatest concerns by mining social media to measure emotion, and thereby suggesting strategic communications addressing those concerns. We report how we designed the decision spaces and the qualitative results of using these spaces during the experiment.
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Katherine Lamb, Martijn Boosman, & Jim Davies. (2015). Introspect Model: Competency Assessment in the Virtual World. 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: Over the last decade the number of operational incidents responded to, has the UK Fire and Rescue Service has diminished by approximately 40% (Knight, 2013). This reduction in incident number and consequential experiential learning opportunities has resulted in a deterioration of incident evaluation skills by the incident commanders. This paper will detail the application of the ?Introspect model? in conjunction with the use of XVR simulation software, within Oxfordshire Fire & Rescue Service (OFRS). The model has been applied in development sessions and during competence assessment over the last 6 years. In 2009, only 45% of those candidates assessed, demonstrated the desired level of competence, compared to over 70% in 2014. The ?Introspect model?focuses on the understanding of decision rationale, striving towards a state of unconscious competence within the crisis decision maker at the incident, to effectively compensate for the skill fade or inexperience, due to diminished incident exposure.
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Mohammadreza Khalilbeigi, Immanuel Schweizer, Dirk Bradler, Florian Probst, & Jürgen Steimle. (2010). Towards computer support of paper workflows in emergency 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: A crucial aspect for large-scale disaster management is an efficient technology support for communication and decision-making processes in command and control centers. Yet, experiences with the introduction of novel technologies in this setting show that field professionals tend to remain attached to traditional workflows and artifacts, such as pen and paper. We contribute the results of a comprehensive field study which analyzes how the information flow is currently performed within different units and persons in the command and control center. These findings provide insights into key aspects of current workflows which should be preserved by novel technological solutions. As our second contribution, by using a participatory design approach and based on our findings, we present a novel approach for computer support in command and control centers. This relies on digital pens and paper and smoothly integrates traditional paper-based workflows with computing, thereby combining the advantages of paper and those of computers.
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Rita Kovordanyi, Rudolf Schreiner, Jelle Pelfrene, Johan Jenvald, Henrik Eriksson, Amy Rankin, et al. (2012). Real-time support for exercise managers' situation assessment and decision making. 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: Exercise managers and instructors have a particularly challenging task in monitoring and controlling on-going exercises, which may involve multiple response teams and organizations in highly complex and continuously evolving crisis situations. Managers and instructors must handle potentially incomplete and conflicting field-observation data and make decisions in real-time in order to control the flow of the exercise and to keep it in line with the training objectives. In simulation-based exercises, managers and instructors have access to a rich set of real-time data, with an increased potential to closely monitor the trainees' actions, and to keep the exercise on track. To assist exercise managers and instructors, data about the on-going exercise can be filtered, aggregated and refined by real-time decision-support systems. We have developed a model and a prototype decision-support system, using stream-based reasoning to assist exercise managers and instructors in real-time. The approach takes advantage of topic maps for ontological representation and a complex-event processing engine for analyzing the data stream from a virtual-reality simulator for crisis-management training. Aggregated data is presented both on-screen, in Twitter, and in the form of topic maps. © 2012 ISCRAM.
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Kimmo Laakso. (2012). On improving emergency preparedness and management with Delphi. 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: An emergency brings together a group of individuals who often represent different organizations, resources, and roles. In order to be able to make the right decisions, individuals need to understand each other although they may be from different lines of business. In our research the target is to stress the importance of a common language in emergency management. Our plan is to gather a group representing the authorities, i.e. public sector actors, and a group representing companies, i.e. private sector actors, to communicate with the Delphi method on possible differences in the language used in different lines of business. The aim of this paper is to discuss the possibilities of using the Delphi method to make improvements to emergency management and to evaluate which kinds of organizations should be represented in our Delphi panel. This paper forms a part of a larger research study, the results of which will be useful, for example when improving the interoperability of management and communications systems. © 2012 ISCRAM.
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Leire Labaka, Josune Hernantes, Tina Comes, & Jose Mari Sarriegi. (2014). Defining policies to improve critical infrastructure resilience. 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. 429–438). University Park, PA: The Pennsylvania State University.
Abstract: Industrial accidents increasingly threaten society and economy; the increasing exposure and vulnerability of our modern interlaced societies contributes to intensifying their impact. Critical Infrastructures (CIs) have a prominent role, since they are vital for the welfare of the population and essential for the economic growth. As hazards are hard to predict, decision-makers need to implement adequate adaptation and mitigation strategies to improve CI resilience. Although CI resilience has attracted increasing attention, empirical studies are rare. Research on the implementation of policies aiming at identifying a clear sequence of measures to improve CI resilience is lacking. Therefore, we present a framework to identify resilience policies across four dimensions (technical, organizational, economic and social) and to define the temporal order in which the policies should be implemented. This research provides a framework grounded in our empirical work. Future work will aim at developing quantitative approaches to complement our results.
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Vitaveska Lanfranchi, Stuart N. Wrigley, Neil Ireson, Uta Wehn, & Fabio Ciravegna. (2014). Citizens' observatories for situation awareness in flooding. 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. 145–154). University Park, PA: The Pennsylvania State University.
Abstract: Citizens' observatories are emerging as a means to establish interaction and co-participation between citizens and authorities during both emergencies and the day-to-day management of fundamental resources. In this paper we present a case study in which a model of citizens' observatories is being been translated into practice in the WeSenseIt project. The WeSenseIt citizens' observatory provides a unique way of engaging the public in the decision-making processes associated with water and flood management through a set of new digital technologies. The WeSenseIt citizens' observatory model is being implemented in three case studies based in the UK, the Netherlands and Italy. We describe the findings and our experiences following preliminary evaluations of the technologies and the model of co-participation and describe our future research plans.
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Benedikt Ley, Volkmar Pipek, Christian Reuter, & Torben Wiedenhöefer. (2012). Supporting inter-organizational situation assessment in crisis management. 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 assess current situation properly is crucial for effective decision-making in crisis management. However, gathering accurate information from incidence sites and providing appropriate support for assessment practices faces several challenges. The unique information demands of each crisis situation, the information availability or inter-organizational problems and obstacles to information exchange are important factors that need to be considered in designing ICT. In this contribution we present results from an empirical study about decision-making practices in scenarios of medium to large power outages in Germany. We focused on the needs and practices on information exchange at the level of inter-organizational cooperation. We examined the cooperation of fire departments, police, public administration, electricity infrastructure operators and citizens. Our empirical material reflects particularly conditions and challenges in current situation assessment practices, and we were able to derive design requirements for an inter-organizational situation assessment client as a complementary tool for existing crisis management infrastructures. © 2012 ISCRAM.
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Michael K. Lindell. (2011). Evacuation modelling: Algorithms, assumptions, and data. 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: Survey researchers need to, Find out what assumptions evacuation modelers are making and collect empirical data to replace incorrect assumptions;, Obtain data on the costs of evacuation to households, businesses, and local government; and, Extend their analyses to address the logistics of evacuation and the process of re-entry. Evacuation modelers need to, Incorporate available empirical data on household evacuation behavior, and, Generate estimates of the uncertainties in their analyses. Cognitive scientists need to, Conduct experiments on hurricane tracking and evacuation decision making to better understand these processes, and, Develop training programs, information displays, and performance aids to assist local officials who have little or no previous experience in hurricane evacuation decision making.
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Ma Ma, Shengcheng Yuan, H. Zhang, & Yi Liu. (2013). Framework design for operational scenario-based emergency response system. 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. 332–337). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The present paper introduces a scenario-based framework design for connecting emergency response system with human behavior analysis and social information processing, which aims at improving its comprehensive capability in dealing with unexpected situations caused by physical, social and psychological factors during a crisis. The overall framework consists of four function modules: Scenario awareness, scenario analysis, scenario evolvement and scenario response. A detailed function design for each module is presented as well as the related methodologies used for integration of four modules. The contribution of this paper includes two aspects. One is realizing the integration of incident evolution, information-spreading and decision-making by taking account of physical, social and psychological effects during emergency. The other is improving the efficiency of decisionmaking through dynamic optimization process.
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Lachlan MacKinnon, & Liz Bacon. (2012). Developing realistic 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: Current crisis management training, at the strategic level, is predominantly focused on two approaches, table-top exercises and large-scale physical simulations. Unfortunately, neither of these approaches provides the necessary realism to accurately prepare trainees for the stress, volume and speed of decision-making required in an actual crisis situation. The development of virtual environments, rich multimedia, and games technologies has resulted in considerable work in developing new training support tools. Some of this work has introduced more realistic stress into the training environment, but to date there has been no systematic approach to the creation and management of stress in crisis management training. The Pandora project has built from existing models taken from crisis management Gold Commander training, timeline-based event network modelling, augmented and virtual reality serious games environments, affective computing research, and emotional ambience models from film and TV, to develop a rich multimedia training environment offering just such an approach. © 2012 ISCRAM.
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Marcos R. S. Borges, Kelli De Faria Cordeiro, Maria Luiza M Campos, & Tiago Brade Marino. (2011). Linked open data and the design of information infrastructure for emergency management systems. 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: Correct information is a vital resource during disasters. Without adequate information, response actions may be ineffective. What is the source of information of emergency management systems? Besides that originated from sensors, the emergency team and the public in general, a very relevant source is government data, such as demographic and geographic data, road maps, etc. The heterogeneity of information formats is a well-known problem that affects organizations and communities that want to access public data. Today, most public agencies provide access to their data, but the great majority is unreadable by automated mechanisms. Besides, most of them do not provide a dictionary meaning for the published content. A solution to this problem is of particular importance to emergency response organizations that need access to all information available to better respond to disasters and crisis. The linked open data (LOD) initiative allows the interconnection of data, using standards in the context of the semantic web approach. In ideal conditions, government agencies publish their public data, thus allowing the use of automated data concerned consumers, whether they are other government agencies or citizens. Efforts aimed to link government data are growing in several countries around the world. This talk presents the LOD concepts and describes an architecture that uses LOD in the design of an Emergency Management System. It describes a scheme for collecting available data from government agencies, such as departments of health, transport, works, that can supply information needs during an emergency response operation.
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Jennifer Mathieu, Mark Pfaff, Gary L. Klein, Jill L. Drury, Michael Geodecke, John James, et al. (2010). Tactical robust decision-making methodology: Effect of disease spread model fidelity on option awareness. 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: We demonstrate a method of validating the utility of simpler, more agile models for supporting tactical robust decision making. The key is a focus on the decision space rather than the situation space in decision making under deep uncertainty. Whereas the situation space is characterized by facts about the operational environment, the decision space is characterized by a comparison of the options for action. To visualize the range of options available, we can use computer models to generate the distribution of plausible consequences for each decision option. If we can avoid needless detail in these models, we can save computational time and enable more tactical decision-making, which will in turn contribute to more efficient Information Technology systems. We show how simpler low fidelity, low precision models can be proved to be sufficient to support the decision maker. This is a pioneering application of exploratory modeling to address the human-computer integration requirements of tactical robust decision making.
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John M. McGuirl, Nadine B. Sarter, & David D. Woods. (2008). Seeing is believing?: The effects of real-time, image-based feedback on emergency management decision-making. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 406–414). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Emergency management personnel often face feedback delays and a lack of reliable information. To address this problem, new information technologies have been developed that can provide real-time, image-based feedback. While potentially useful, this trend represents a fundamental shift in both the timing and format of the information used by incident commanders (ICs). Eight ICs took part in a simulation exercise to determine the potential impact of real-time imaging on their decision-making. Nearly all of the ICs failed to detect important changes in the situation that were not captured in the imaging but that were available via other, more traditional data sources. It appears that the ICs placed an inappropriately high level of trust in the imaging data, resulting in reduced data search activities and hypothesis generation. This research helps practitioners anticipate and guard against undesirable effects of introducing similar technologies on training and operational procedures.
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Mickael Babin, Nada Matta, Guillaume Delatour, Paul Henri Richard, & Patrick Laclemence. (2022). How to Support Situation Awareness in Operational Crisis Management: Case Studies. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 225–232). Tarbes, France.
Abstract: Situation awareness is created through the dynamic process of perception and action and serves as a foundation of overall performance throughout many different domains, such as education, military operations, air traffic control, driving, search and rescue, and crisis management [Endsley, 2006]. Information sharing is an important factor to be consider in situation awareness. In this paper, we present how tools can support information sharing in crisis management. So, we study how crisis management team dealt with two exercises using firstly whiteboards and secondly, CRIMSON a digital decision support tool.
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Stella Moehrle. (2012). Generic self-learning decision support system for large-scale disasters. 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: Large-scale disasters, particularly failures of critical infrastructures, are exceptional situations which cannot be solved with standard countermeasures. The crises are complex and the decision makers face acute time pressure to respond to the disaster. IT based decision support systems provide potential solutions and assist the decision making process. Many decision support systems in emergency response and management concentrate on one kind of disaster. Moreover, complex structures are modeled and recommendations are made rule-based. This work in progress paper describes the first steps towards the development of a generic and self-learning decision support system. The methodology used is case-based reasoning. The paper concludes with a sample emergency decision process. © 2012 ISCRAM.
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