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Steven Curnin, & Christine Owen. (2013). A typology to facilitate multi-agency coordination. 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. 115–119). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Multi-agency coordination in emergency management presents many challenges. Agencies that normally operate independently have to assemble into a unified supra organization to achieve a common goal. To achieve successful multi-agency coordination organizations need to span organizational boundaries and provide linkages with multiple agencies. This requires interorganizational compatibility of information and communication systems. Necessary for this success are the stakeholders responsible for facilitating these organizational boundary spanning activities. This paper proposes that the preliminary research findings can create a typology of dimensions crucial to facilitating multi-agency emergency management coordination. It is envisaged that the typology will culminate into a diagnostic tool that will enable stakeholders to examine the breakdowns and successes of multi-agency emergency management coordination.
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Alayne Da Costa Duarte, Marcos R. S. Borges, Jose Orlando Gomes, & De Paulo V. R. Carvalho. (2013). ASC model: A process model for the evaluation of simulated field exercises in the emergency domain. 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. 551–555). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The undefined flow of execution of activities in an evaluation process hampers its implementation. A consistent evaluation process defines interrelated methodological steps that make it easier for the evaluator to lead the process. This article presents a process model for the evaluation of simulated field exercises in the emergency domain, including their sub processes and activities. The proposed model was derived from observations made during real situations of a simulated evacuation exercise of communities in high-risk areas in Rio de Janeiro (Brazil). The motivation came from the finding that the assessment of simulated field exercises is conducted by completing an activity report that does not follow a structural model, an evaluation program or a formal standard. The results of this research show the experts' satisfaction with the application of the model proposed for the development of an evaluation process. The same occurs when comparing to reports currently used by them for this purpose.
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Daniel Auferbauer, Christoph Ruggenthaler, Gerald Czech, & Ivan Gojmerac. (2019). Taxonomy of Community Interaction in Crises and Disasters. 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: Taxonomies are integral to systems engineering, as they structure our knowledge of a field and so provide the
foundation for technological development. We contribute such taxonomies for the field of Community
Interaction and Engagement in Crisis and Disaster Management, which represents the interface between
members of the public who commit to relief efforts and established organisations that have a pre-defined role in
crisis management. These actors are unified in their purpose to help those in need, but also set apart by their
organisational structures and modes of operation. We classify the actors of Community Interaction and
Engagement, as well as the interactions between them. Our contribution outlines areas where the application of
Information and Communication Technology can offer benefits to Community Interaction and Engagement.
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Daniel Auferbauer, Roman Ganhör, & Hilda Tellioglu. (2015). Moving Towards Crowd Tasking for Disaster Mitigation. 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: Advancements in information and communication technology (ICT) offer new possibilities when dealing with crisis situations. In this paper we present the design for a crowd tasking tool (CTT) that is currently under development. We describe how the tool can assist disaster relief coordinators during a crisis by selectively distributing tasks to a crowd of volunteers. We also compare the CTT with an already existing ICT based solution for supporting volunteerism during crisis. The differences between these two tools are addressed and the implications for volunteerism are discussed. The paper concludes with an outlook on future work emphasizing a form of volunteer involvement that offers potential for gathering information that is more relevant and easier to digest for decision-making than information provided solely by self-organised volunteers through social media.
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Daniel Auferbauer, Roman Ganhör, Hilda Tellioglu, & Jasmin Pielorz. (2016). Crowdtasking: Field Study on a Crowdsourcing Alternative. 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: In this paper we elaborate on the concept of crowdtasking as a form of crowdsourcing. The paper describes the setup and boundaries of a first controlled live field test of a prototypical implementation of a possible crowdtasking workflow. The implemented workflow allows crisis managers rapid intelligence gathering due to direct and tailored task distribution. Practitioners of Crisis and Disaster Management and volunteer managers who were present during the field test made favourable comments on the approach and its implementation. The analysis of the records and the conducted interviews give new insights and ideas for further development.
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Daniel Iland, & Elizabeth Belding. (2016). Dynamic, Data-Driven Optimization of Solar Powered Charging Kiosks for Crisis Response. 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: In this paper, we describe methodologies for using portable, solar powered charging kiosks to provide mobile phone charging to communities following a disaster. We do not strive to provide a comprehensive alternative to grid power, rather we focus on charging mobile phones and other battery-powered devices. The small size of portable solar systems come with a trade-off: demand for power may exceed battery capacity and solar power generation. In such cases, power output must be regulated in order to maintain the functionality of the system, or the system may be modified to produce more power by adding more solar panels, or to store more power by adding additional batteries. We model user demand for power and kiosk power generation, battery status, and power output to inform the development, deployment, operation and reconfiguration of such kiosks following a disaster.
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Daniel Lichte, Dustin Witte, & Kai-Dietrich Wolf. (2020). Comprehensive Security Hazard Analysis for Transmission Systems. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 1145–1153). Blacksburg, VA (USA): Virginia Tech.
Abstract: Critical energy infrastructures are more and more focused upon by politics and society. Modern society depends on these structures, since they enable the steady support of electricity and other types of energy. Deliberately precipitated hazards of certain critical parts of electrical transmission systems (ETS) can lead to catastrophic consequences. Therefore, the analysis of feasible security hazards and resulting consequences for the operation of transmission systems are a concern to transmission system operators (TSO). Alas, there is no common method available that comprehensively identifies these feasible security related scenarios and classifies them according to their overall criticality for the safe operation of the ETS. To tackle this challenge, we propose a comprehensive, yet easy-to-apply method to systematically identify and assess the criticality of security threat scenarios. It is conducted in four steps and consists of a matrix based consistency check of threat scenarios in a defined solution space and a convenient semi-quantitative assessment of a risk factor for the ETS. The approach is illustrated by the simplified generic example of an EETS.
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Dario Salza, Edoardo Arnaudo, Giacomo Blanco, & Claudio Rossi. (2022). A 'Glocal' Approach for Real-time Emergency Event Detection in Twitter. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 570–583). Tarbes, France.
Abstract: Social media like Twitter offer not only an unprecedented amount of user-generated content covering developing emergencies but also act as a collector of news produced by heterogeneous sources, including big and small media companies as well as public authorities. However, this volume, velocity, and variety of data constitute the main value and, at the same time, the key challenge to implement and automatic detection and tracking of independent emergency events from the real-time stream of tweets. Leveraging online clustering and considering both textual and geographical features, we propose, implement, and evaluate an algorithm to automatically detect emergency events applying a ‘glocal’ approach, i.e., offering a global coverage while detecting events at local (municipality level) scale.
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L.T. Darryl Diptee, & Jason Baker. (2013). Tackling wicked problems: Suicide in the US military. 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. 931–940). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Every 24 hours a member of the United States (US) Armed Forces commits suicide, while every hour a US veteran takes his own life. These statistics illuminate a deeply-rooted social crisis which eludes experts and military leaders to this day. Billions of dollars invested in suicide prevention seem to offer little relief for active duty servicemen and veterans alike. Military suicide is framed as a wicked problem and the new and exciting theory of Chronic Emotional Atrophy (CEA) is proposed to help explain causes of suicidal ideation in the military. A holistic crisis management strategy via information systems is presented in this work. Depressive symptoms exhibited by military members in emotionally suppressed environments closely parallel those phenomena exhibited by medical patients suffering from frontal lobe damage. The prospective psychiatric information system solution provides frontal lobe stimulation (FLS) to mitigate CEA and suicidal ideation.
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Dashley K. Rouwendal van Schijndel, Jo E. Hannay, & Audun Stolpe. (2020). Simulation Vignette Generation from Answer Set Specifications. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 110–121). Blacksburg, VA (USA): Virginia Tech.
Abstract: We investigate an approach that allows exercise managers to design simulations with an explicit focus on building skills, rather than having to focus on all the objects and interactions that a simulation must have. Exercise managers may design exercises at various levels of abstraction and always independently of how those sessions are implemented in simulations, while simulation components that implement the design are assembled and to some extent, automatically, behind the scenes. We outline (1) how Answer Set Programming can assist exercise managers in exercise planning and (2) how automated stage and content generation may be used to invoke appropriate simulation components to realize the design. For deliberate and recurrent training of decision-making skills, stages and content must vary to avoid familiarity (testing effects). We conclude by distilling a main research hypothesis that stipulates how (1) and (2) represent two modes of automated reasoning (so-called deductive versus abductive) and how that distinction clarifies the planning task.
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Shideh Dashti, Leysia Palen, Mehdi P. Heris, Kenneth M. Anderson, T. Jennings Anderson, & Scott Anderson. (2014). Supporting disaster reconnaissance with social media data: A design-oriented case study of the 2013 Colorado floods. 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. 632–641). University Park, PA: The Pennsylvania State University.
Abstract: Engineering reconnaissance following an extreme event is critical in identifying the causes of infrastructure failure and minimizing such consequences in similar future events. Typically, however, much of the data about infrastructure performance and the progression of geological phenomena are lost during the event or soon after as efforts move to the recovery phase. A better methodology for reliable and rapid collection of perishable hazards data will enhance scientific inquiry and accelerate the building of disaster-resilient cities. In this paper, we explore ways to support post-event reconnaissance through the strategic collection and reuse of social media data and other remote sources of information, in response to the September 2013 flooding in Colorado. We show how tweets, particularly with postings of visual data and references to location, may be used to directly support geotechnical experts by helping to digitally survey the affected region and to navigate optimal paths through the physical space in preparation for direct observation.
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Dragos Datcu, & Leon J.M. Rothkrantz. (2007). The use of active appearance model for facial expression recognition in crisis environments. 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. 515–524). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In the past a crisis event was notified by local witnesses that use to make phone calls to the special services. They reported by speech according to their observation on the crisis site. The recent improvements in the area of human computer interfaces make possible the development of context-aware systems for crisis management that support people in escaping a crisis even before external help is available at site. Apart from collecting the people's reports on the crisis, these systems are assumed to automatically extract useful clues during typical human computer interaction sessions. The novelty of the current research resides in the attempt to involve computer vision techniques for performing an automatic evaluation of facial expressions during human-computer interaction sessions with a crisis management system. The current paper details an approach for an automatic facial expression recognition module that may be included in crisis-oriented applications. The algorithm uses Active Appearance Model for facial shape extraction and SVM classifier for Action Units detection and facial expression recognition.
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Dragos Datcu, & Leon J.M. Rothkrantz. (2008). A Dialog Action Manager for automatic crisis management. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 384–393). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper presents the results of our research on the development of a Dialog Action Manager-DAM as part of a complex crisis management system. Imagine the utility of such an automatic system to detect the crisis and to provide support to people in contexts similar to what happened recently at the underground in London and Madrid. Preventing and handling the scenarios of terrorism and other crisis are nowadays maybe the most important issues for a modern and safe society. In order to automate the crisis support, DAM simulates the behavior of an employee at the crisis centre handling telephone calls from human observers. Firstly, the system has to mimic the natural support for the paradigm 'do you hear me?' and next for the paradigm 'do you understand me?'. The people witnessing the crisis event as well as human experts provide reports and expertise according to their observations and knowledge on the crisis. The system knowledge and the data communication follow the XML format specifications. The system is centered on the results of our previous work on creating a user-centered multimodal reporting tool that works on mobile devices. In our paper we describe the mechanisms for creating an automatic DAM system that is able to analyze the user messages, to identify and track the crisis contexts, to support dialogs for crisis information disambiguation and to generate feedback in the form of advice to the users. The reasoning is done by using a data frame and rule based system architecture and an alternative Bayesian Network approach. In the paper we also present a series of experiments we have attempted in our endeavor to correctly identify natural solutions for the crisis situations.
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David Paulus, Kenny Meesters, & Bartel Van de Walle. (2018). Turning data into action: supporting humanitarian field workers with open data. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 1030–1039). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: In the aftermath of disasters, information is of the essence for humanitarian decision makers in the field. Their concrete information needs is highly context-influenced and often they find themselves unable to access the right information at the right time. We propose a novel ICT-based approach to address these information needs more accurately. First, we select a group of in-field decision makers and collect their concrete information needs in the disaster aftermath. We then review to what extent existing data and tools can already address these needs. We conclude that existing solutions fall short in meeting important information needs of the selected group. We describe the design of an information system prototype to address these gaps more accurately. We combine data of the International Aid Transparency Initiative and the Humanitarian Data Exchange to form the data-backend of our system. We describe our implementation approach and evaluation plan.
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David Paulus, Kenny Meesters, Gerdien de Vries, & Bartel Van de Walle. (2019). The reciprocity of data integration in disaster risk analysis. 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: Humanitarian organizations are increasingly challenged by the amount of data available to drive their decisions. Useful data can come from many sources, exists in different formats, and merging it into a basis for analysis and planning often exceeds organizations? capacities and resources. At the same time, affected communities? participation in decision making processes is often hindered by a lack of information and data literacy capacities within the communities. We describe a participatory disaster risk analysis project in the central Philippines where the community and a humanitarian NGO worked towards a joint understanding of disaster risks and coping capacities through data integration and IT-supported analysis. We present findings from workshops, focus group discussions and semi-structured interviews, showing the reciprocal effects of the collaborative work. While the community valued the systematically gathered and structured evidence that supported their own risk perceptions and advocacy efforts, the humanitarian NGO revisited established work practices for data collection for analysis and planning.
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David Wodak, & Kenny Meesters. (2021). How To Improve HO/TO's: An Exploratory Study on The Alignment Between Information, Technology And Crisis teams. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 459–470). Blacksburg, VA (USA): Virginia Tech.
Abstract: In the last decade, the number of crises has increased, and have become more complex. Crisis response does not only focus on rescue operations, or separate stages but rather it is an integrated and continuous process. During this continuous process, several handovers take place. A handover is an important, critical but challenging moment during a crisis, due to the organizational factors that influence the handover and the technology used to transfer information. Since these are crucial elements of a Crisis handover, it would indicate that the alignment between these factors could lead to the improvement of Crisis handovers. However, certain barriers resulted in a lack of alignment. An important barrier originates from the organizational processes. These have a lack of focus on which crisis managers are involved in the handover and thus create a lack of alignment between the systems and information used by various crisis teams.
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Mark De Bruijne. (2007). Networked reliability: From monitoring to incident 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. 385–393). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The environment of many HROs in modern, western countries have undergone dramatic changes in the last decades. They have changed from High Reliability Organizations (HROs) into High Reliability Networks (HRNs). In nearly all industries, the formerly vertically integrated, state-owned monopolies were 'unbundled' and in many segments, competition was introduced. Consequently, the services of modern-day large-scale technical systems are provided by networks of organizations. In-depth research in a number of infrastructure industries explored the consequences of these changes for the reliable provision of services in networks of organizations. In networks of organizations, reliability is increasingly achieved through 'real-time' management. This paper highlights three important consequences of these findings and provides some tentative conclusions about their effect on the design and use of Information Systems in complex, large-scale technical systems.
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Tom De Groeve, & Patrick Riva. (2009). Early flood detection and mapping for humanitarian response. 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: Space-based river monitoring can provide a systematic, timely and impartial way to detect floods of humanitarian concern. This paper presents a new processing method for such data, resulting in daily flood magnitude time series for any arbitrary observation point on Earth, with lag times as short as 4h. Compared with previous work, this method uses image processing techniques and reduces the time to obtain a 6 year time series for an observation site from months to minutes, with more accurate results and global coverage. This results in a daily update of major floods in the world, with an objective measure for their magnitude, useful for early humanitarian response. Because of its full coverage, the grid-based technique also allows the automatic creation of low-resolution flood maps only hours after the satellite passes, independent of cloud coverage.
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Tom De Groeve, Luca Vernaccini, & Alessandro Annunziato. (2006). Modelling disaster impact for the global disaster alert and coordination system. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 409–417). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: The Global Disaster Alert and Coordination System, jointly developed by the European Commission and the United Nations, combines existing web-based disaster information management systems with the aim to alert the international community in case of major sudden-onset disasters and to facilitate the coordination of international response during the relief phase of the disaster. The disaster alerts are based on automatic hazard information retrieval and real-time running of impact models. This paper describes impact models for earthquakes, tsunamis and tropical cyclones.
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Tom De Groeve, Zsofia Kugler, & G. Robert Brakenridge. (2007). Near real time flood alerting for the global disaster alert and coordination system. 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. 33–39). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: A new flood monitoring module is in development for the Global Disaster Alert and Coordination System (GDACS). GDACS is an information system designed to assist humanitarian responders with their decisions in the early onset after a disaster. It provides near-real time flood alerts with an initial estimate of the consequences based on computer models. Subsequently, the system gathers information in an automated way from relevant information sources such as international media, mapping and scientific organizations. The novel flood detection methodology is based on daily AMSR-E passive microwave measurement of 2500 flood prone sites on 1435 rivers in 132 countries. Alert thresholds are determined from the time series of the remote observations and these are validated using available flood archives (from 2002 to present). Preliminary results indicate a match of 47% between detected floods and flood archives. Individual tuning of thresholds per site should improve this result.
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Gonçalo De Jesus, Anabela Oliveira, Maria A. Santos, & João Palha-Fernandes. (2010). Development of a dam-break flood emergency information system. 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 presents a new information system, SAGE-B, structured to support all fundamental data related to dams and the elements associated to an emergency in case of a dam-break flood. Data such as information about the population located in the areas at risk or the vehicles available for rescue that are located in the areas impacted by the predicted flood are always changing. In order to support an effective update of the required information for emergency management, an emergency information system was conceived and proposed. This paper describes the motivation for this research and the basic requirements from an emergency management perspective. The platform has a modular architecture, developed in open and free technologies, which allows a continuous development and improvement. Examples of future developments include a multichannel emergency warning system, flood wave real-time forecast and dam-breaching real-time monitoring models.
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Simone De Kleermaeker, & Jan Verkade. (2013). A decision support system for effective use of probability forecasts. 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. 290–295). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Often, water management decisions are based on hydrological forecasts, which are affected by inherent uncertainties. It is increasingly common for forecasters to make explicit estimates of these uncertainties. Associated benefits include the decision makers' increased awareness of forecasting uncertainties and the potential for risk-based decision-making. Also, a more strict separation of responsibilities between forecasters and decision maker can be made. A recent study identified some issues related to the effective use of probability forecasts. These add a dimension to an already multi-dimensional problem, making it increasingly difficult for decision makers to extract relevant information from a forecast. Secondly, while probability forecasts provide a necessary ingredient for risk-based decision making, other ingredients may not be fully known, including estimates of flood damage and costs and effect of damage reducing measures. Here, we present suggestions for resolving these issues and the integration of those solutions in a prototype decision support system (DSS). A pathway for further development is outlined.
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Lisette De Koning, Lottie Kuijt-Evers, Nicolet Theunissen, Richelle Van Rijk, & Huis In 't Veld, M. (2011). Multidisciplinary cooperation in crisis management teams: A tool to improve team situation awareness. 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: When a crisis occurs, people from different organizations, on different hierarchical levels have to deal with unexpected situations that require coordinated effort. The goal of this research is to improve multidisciplinary cooperation for crisis management teams. We developed a tool, the Multi-mono guide, which helps team members to share information at the right time, with the right person, in the right way. A pre-test post-test intervention experiment was conducted with 8 professional teams to evaluate the effect of the tool on individual competencies, team situation awareness and process satisfaction. The experimental group was more satisfied with the meetings and about the way they shared information. Participants reported that the Multi-mono guide makes them aware of sharing information. We didn't find significant differences for individual competencies and team situation awareness. This is may be because the teams that participated were very experienced. Participants did find the Multi-mono guide useful for trainees.
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Lisette De Koning, Van Buul-Besselink, K., Dianne Van Hemert, Mirjam Huis In 'T Veld, Kees Van Dongen, & Rosie Paulissen. (2012). MIRROR: Improving coordination in multidisciplinary crisis management teams. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: In crisis situations different organizations have to cooperate to gain shared situation awareness and to take accurate decisions. However, several evaluation studies of crisis mitigation processes indicate that it is hard to effectively coordinate efforts of all organizations involved. The goal of our project is to improve coordination in crisis management teams, by improving the interaction processes in a crisis management team. The project consists of two main steps. First, the development of MIRROR, i.e. an overview of 16 relevant factors that influence team interaction. Second, the development of a training based on MIRROR. We expect MIRROR and its training module to be a useful tool for team members of crisis teams. In addition, MIRROR has the advantage that it can be applied in non-crisis teams, during daily situations, as well. This enlarges the chances for potential team members of crisis teams to increase their team interactions skills. © 2012 ISCRAM.
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Alvaro Pemartin De La Calle, & Murray Turoff. (2011). Three hundred decisions a day: A case study of local crisis 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: This paper is a case study of an emergency medical dispatch system that describes its operations and difficulties Emergency Management in Andalusia is the responsibility of the Internal Affairs Authority that operates in each province a Coordination Center that receives Emergency Calls and in cases where there is a medical emergency, passes the information to the Emergency Coordination Centers. The 112 Centers gather all the information generated in emergency situations and supposedly coordinate the response of the several emergency services (Police, and Fire Departments) that operate their own coordination centers. If necessary they send a medical request to the 112 Center that, acting as a hub, sends to EPES the information about the medical incident.
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