Alessandro Faraotti, Antonella Poggi, Berardino Salvatore, & Guido Vetere. (2009). Information management for crisis response in WORKPAD. 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: WORKPAD (EU STREP project FP6-2005-IST-5-034749) is an experimental platform for Crisis Response which adopts a decentralized, event-driven approach to overcome problems and limitations of centralized systems. The flexibility of P2P networking is relevant when different organizations must get rapidly integrated the one another, without resorting on standardized ontologies and centralized middleware components. This paper illustrates the main features of the Information Integration platform we've designed. A number of relevant technical and theoretical issues related to decentralized platforms are discussed in the light of specific needs of Crisis Response.
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Alexander Smirnov, Tatiana Levashova, & Nikolay Shilov. (2013). Context-based knowledge fusion patterns in decision support system for emergency 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. 597–606). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The purpose of this paper is discovery of context-based knowledge fusion patterns. Knowledge fusion is considered as an appearance of new knowledge in consequence of processes ongoing in decision support systems. The knowledge fusion processes are considered within a system intended to support decisions on planning emergency response actions. The knowledge fusion patterns are generalized with regard to preservation of internal structures and autonomies of information and knowledge sources involved in the knowledge fusion and to knowledge fusion results. The found patterns give a general idea of knowledge fusion processes taking place at the operational stage of decision support system functioning, i.e. the stage where context-aware functions of the system come into operation. As a practical application, such patterns can support engineers with making choice of knowledge sources to be used in the systems they design.
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Anne-Marie Barthe-Delanoë, & Wenxin Mu. (2020). Towards a Context-Aware Systemic Risk Management Framework for the Crisis Response. 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. 1122–1129). Blacksburg, VA (USA): Virginia Tech.
Abstract: Crisis response is, as any other collaborative networked organization, challenged by changes and vulnerabilities. Moreover, as a complex system with distributed activities and numerous interdependencies, considering the risk of such an organization at a systemic level, including time and space dimensions, is necessary. Systemic risk management is a topic traditionally studied in the finance area. Even if a few researches now focus on the supply chain management area (a more relatable domain regarding crisis response), there is even fewer literature regarding systemic risk management for the crisis response. Thus, this paper proposes first to define systemic risk related to the case of the crisis response. Then, a framework for context-aware systemic risk management is presented, to support the design as well as the follow-up of the crisis response, meeting one of the challenges of the Sendai Framework for Disaster Risk Reduction.
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Anthony Charles, Matthieu Lauras, & Rolando Tomasini. (2009). Learning from previous humanitarian operations, a business process reengineering approach. 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: Uncertainty and risks are part of humanitarians' daily routine. Most of the time, infrastructures are damaged or non-existent, the political climate is highly volatile, communication means are insufficient, and so on. Therefore, humanitarian organizations often have to find original methods to implement their supply chains. They may also face recurrent problems, that requires them to change the way they operate. And yet, as they lack the time and resources to reflect on the lessons learnt, most of their best practices and issues are neither captured nor communicated. The aim of the study is thus to propose a framework to capitalize humanitarians' knowledge and know-how, to analyze both gaps and best practices and learn from one operation to another. To this end, we propose a framework derived from traditional Enterprise Modelling tools, adapted to fit relief chains' specificities. Field applications are then given to illustrate our approach and its beneficial effects.
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Antonio De Nicola, Maria Luisa Villani, Francesco Costantino, Andrea Falegnami, & Riccardo Patriarca. (2021). Knowledge Fusion for Distributed Situational Awareness driven by the WAx Conceptual Framework. 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. 79–85). Blacksburg, VA (USA): Virginia Tech.
Abstract: Large crisis scenarios involve several actors, acting at the blunt-end of the process, such as rescue team directors, and at the sharp-end, such as firefighters. All of them have different perspectives on the crisis situation, which could be either coherent, alternative or complementary. This heterogeneity of perceptions hinders situational awareness, which is defined as the achievement of an overall picture on the above-mentioned crisis situation. We define knowledge fusion as the process of integrating multiple knowledge entities to produce actionable knowledge, which is consistent, accurate, and useful for the purpose of the analysis. Hence, we present a conceptual modelling approach to gather and integrate knowledge related to large crisis scenarios from locally-distributed sources that can make it actionable. The approach builds on the WAx framework for cyber-socio-technical systems and aims at classifying and coping with the different knowledge entities generated by the involved operators. The conceptual outcomes of the approach are then discussed in terms of open research challenges for knowledge fusion in crisis scenarios.
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Aviv Segev. (2008). Adaptive ontology use for crisis knowledge representation. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 285–293). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: While a crisis requires quick response of emergency management factors, ontology is generally represented in a static manner. Therefore, an adaptive ontology for crisis knowledge representation is needed to assist in coordinating relief efforts in different crisis situations. The paper describes a method of ontology modeling that modifies the ontology in real time during a crisis according to the crisis surroundings. An example of ontology use based on a sample Katrina crisis blog is presented.
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Bernard Van Veelen, Patrick Storms, & Chris J. Van Aart. (2006). Effective and efficient coordination strategies for agile crisis response organizations. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 202–213). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Agile crisis response organizations can be seen as actor-Agent communities, where artificial coordination strategies are applied to manage activities. This paper provides a classification of artificial coordination strategies, specified in terms of the Rasmussen's three-level model for supervisory control: skill, rule and knowledge based. Three distinct strategies to artificial coordination based on Rasmussen's levels are described. These approaches are applied in a small case study related to the problem of medic-casualty allocation in the crisis response domain. In terms of effectiveness and efficiency, the knowledge-level coordination strategies seem to be the most effective, where the skill-level strategies are the most efficient. Concerning flexibility there is a reverse trade-off with efficiency. Opposed to skill-level strategies, knowledge-level strategies easily adjust to changing operational requirements. On all aspects, the performance of rule-level strategies is in-between knowledge-level and skill-level strategies. The results of this work can be used to improve the performance and effectiveness of actor-Agent communities for mission critical applications.
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Christian Iasio, Ingrid Canovas, Elie Chevillot-Miot, & Tendry Randramialala. (2022). A New Approach to Structured Processing of Feedback for Discovering and Investigating Interconnections, Cascading Events and Disaster Chains. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 285–298). Tarbes, France.
Abstract: Post-disaster information processing is relevant for the continuous improvement of operations and the reductionof risks. The current methodologies for post-disaster review suffer from several limitations, which reduce their use as a way of translating narrative in data for qualitative and quantitative analysis. Learning or effective knowledge sharing need a common formalism and method. Ontologies are the reference tool for structuring information in a “coded” data structure. Using the investigation of disaster management during the 2017 hurricane season in the French West Indies within the scope of the ANR “APRIL” project, this contribution introduces a methodology and a tool for providing a graphical representation of experiences for post-disaster review and lessons learning, based on a novel approach to case-based ontology development.
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Claudia Müller, & Volkmar Pipek. (2009). Socio-spatial implications of converging physical and digital infrastructures for crisis management: Ethnography of two service technician working environments of a power provider company. 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: The basis of this article is an ethnographical study conducted in a German electricity provider company. The energy supply sector is an important domain in the field of emergency management research since electricity providers maintain an important infrastructure in various crisis scenarios. There exist many dependencies and interrelations between power infrastructure providers and authorities and corporations in cases of emergency. The maintenance workers of electricity infrastructures deal on a daily basis with problems that may emerge into a crisis on a larger scale. Our paper focuses this special division of the company – service workers in two different regions, one department located in a major German city and the other in a rural area. The categories of convergence of physical and electronical working appliances and infrastructures and socio-spatially bound knowledge serve to understand and analyse the work practices of the service workers as preliminary investigations to system development. Within these categories we also comment on the methodological implications for ethnographic analysis and technology development processes.
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Connie White, Starr Roxanne Hiltz, & Murray Turoff. (2008). United we respond: One community, one voice. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 25–33). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: When emergency situations cross borders, or when newly formed groups need to work together, decision making can suffer from threat rigidity and pertinent information can be bypassed. We describe a Dynamic Delphi system under development that can create and sustain a group “voice” for an emergency response Community of Practice (CoP). We further describe its intended use for a CoP consisting of local, state and federal government responders, civilian emergency response teams (CERT), and volunteers. Community members can brainstorm, explore ideas, debate and vote iteratively to best reflect the group's opinion at any moment in time. Ongoing studies demonstrate that an online system implementing Dynamic Delphi characteristics along with Thurstone's Law of Comparative Judgment will prove conducive for building a repertoire of ideas, rules, policies or any other aspect of the community's 'voice', in such a way that the individual voices are juxtaposed in harmony to create a single song.
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David Díez, Paloma Díaz, & Ignacio Aedo. (2010). Virtual communities of practice: Design directions for technology-mediated collaboration in the early warning activity. 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: The performance of early warning activities involves the management of complex situations as uncertainty is common, information is frequently scattered and the number of stakeholders affected is large. In this context, the performance of early warning activities is distinguished by the significance of internalized experience as well as the generalized use of cultural knowledge, internalized domain knowledge and tacit knowledge. A suitable and well-known way to endorse the creation and exchange of this kind of knowledge -usually called soft knowledge- is the application of communities of practitioners. Based on the review of the communities of practice approach, its principles and rationale, this paper proposes a set of design guidelines aimed at addressing the technological design of technological platforms that support the creation, exchange and acquisition of soft knowledge for its application in early warning activities.
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Dennis Andersson, & Amy Rankin. (2012). Sharing mission experience in tactical organisations. 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: A tactical organisation can be seen as an adhocracy designed to perform missions in uncertain, ambiguous and complex environments. Flexibility, adaptability, resilience, innovation, creativity and improvisation have all been identified as key skills for successful outcome of these missions. To learn skills associated with such abilities previous research has shown that knowledge acquired through experience plays an important role. It is important that organisations share and learn from experiences to improve their ability to cope with novel situations. In literature there is a lack of consistency in how these abilities are discussed, we therefore propose the FAIRIC model. By unravelling some of the similarities and differences we create a common vocabulary to discuss knowledge gained from experience. This can help classify different experiences and provide a systematic way of gathering and modelling knowledge on situational factors to enable sharing of mission experience over boundaries of time and space. © 2012 ISCRAM.
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Dennis J. King. (2005). Humanitarian knowledge management. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 291–295). Brussels: Royal Flemish Academy of Belgium.
Abstract: International complex humanitarian emergencies present numerous challenges to aid organizations trying to manage data, information and knowledge about the situation or event. Humanitarian aid organizations should be able to identify what critical information they need, where to find it, what are the major gaps, and how best to share, present and disseminate this information. These challenges can be addressed through improved knowledge management. The faster and more efficiently humanitarian aid organizations are able to identify, collect, distill, analyze and manage the vast corpus of what they need to know, the more effectively they can plan for and respond to natural disasters and complex emergencies and the more lives are potentially saved.
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Dick Ooms, Willem-Jan van den Heuvel, & Bartel Van de Walle. (2018). A Conceptual Framework for Civil-Military Interaction in Peace Support Operations. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 1003–1015). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: In complex emergencies, civil and military organizations often find themselves being partners in an international effort aimed at peace keeping, humanitarian relief, and development support. Civil and military partners need to exchange information and to cooperate as required. This assumes effective and efficient Civil-Military Interaction (CMI). However, CMI research literature shows that, in practice, this is far from a reality. In particular, our research indicates that deficiencies in knowledge processes and knowledge management within international civil and military organizations contribute to the causes of ineffective and inefficient CMI. Our research aims to investigate the feasibility of developing technical solutions exploiting knowledge engineering, to support fieldworkers in overcoming these CMI problems. As a first step, this paper introduces a Conceptual Framework (CF) that captures reference models of the CMI domain. The CF has been developed to analyze CMI problems and underlying KM deficiencies. It is being illustrated, explored and validated using real-world case studies.
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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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Duco N. Ferro, Jeroen M. Valk, & Alfons H. Salden. (2007). A robust coalition formation framework for mobile surveillance 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. 479–488). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Given unexpected incidents on routes of guards that check security objects, like banks, one of the most challenging problems is still how to support improvisation by security personnel in taking decisions to prevent or resolve such incidents. Another as important associated problem is how a security company can naturally take advantage of its existing and novel knowledge about its organizational and ICT infrastructures, and the introduction of a decision support system to help leverage of improvisation by humans. To tackle all this, on the one hand we present a dynamic coalition formation framework that allows the (re)configurations of agents that are associated with joint tasks in situational contexts to be evaluated by appropriate value functions. On the other hand, we present a dynamic scale-space paradigm that allows a security company to distill ranked lists of robust context-dependent reconfigurations at critical scales. We highlight the merits of ASK-ASSIST as a solution to the problem of supporting human improvisation.
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El Hamali Samiha, Nouali-TAboudjnent, N., & Omar Nouali. (2011). Knowledge extraction by Internet monitoring to enhance 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 presents our work on developing a system for Internet monitoring and knowledge extraction from different web documents which contain information about disasters. This system is based on ontology of the disasters domain for the knowledge extraction and it presents all the information extracted according to the kind of the disaster defined in the ontology. The system disseminates the information extracted (as a synthesis of the web documents) to the users after a filtering based on their profiles. The profile of a user is updated automatically by interactively taking into account his feedback.
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Elena Tsiporkova, Nicolás González-Deleito, Tom Tourwé, & Anna Hristoskova. (2012). Ontology-driven multimodal interface design for an emergency response application. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: In this paper, we propose an ontology-driven modelling framework, which allows to capture the domain and expert knowledge available within the interface design community, and to support designers in their daily design tasks by eliciting user and application dependent design recommendations. We illustrate how this framework can be used in practice with a concrete case study devoted to multimodal interface design for the purpose of emergency response applications. © 2012 ISCRAM.
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Elio Rich. (2006). Modeling risk dynamics in e-operations transitions. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 239–250). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Migrations to new modes of operation are perilous times for most organizations. For firms that routinely work in high-threat, high-reward situations, the risks of innovation are particularly challenging. This paper presents a systems-based approach to understanding these risks, drawing examples from one firm migrating to e-Operations for offshore oil platforms to increase profitability. The firm recently participated in two facilitated group model building exercises to examine the effects of the migration on the organization and resources needed to safely implement multiple changes over time. Based on these exercises, a simulation model of the timing and relative levels of risk, was developed. The results of the workshop and simulation demonstrate the effect of a combined qualitative and quantitative modeling approach to understanding complex problems.
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Fabian Wucholt, Yeliz Yildirim-Krannig, Mareike Mähler, Uwe Krüger, & Clemens Beckstein. (2011). Cultural analysis and formal standardised language-A mass casualty incident perspective. 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: Handling highly dynamic scenarios as they arise in mass casualty incident (MCI) situations requires lots of information about the situation and an extremely flexible IT infrastructure that can assist in managing the inci-dent. Normally, rescue workers from different organisational cultures do not communicate across their organisa-tional boundaries, but in an MCI they have to efficiently collaborate in order to successfully manage the inci-dent. In this paper we argue that qualitative cultural analysis can provide important insights into the design of techno-logical systems that are to be deployed in inter-organisational settings like an MCI. We will show how the engi-neering of complex knowledge based systems for such scenarios can profit from the results of such an analysis.
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Fatemeh Hendijani Fard, Cooper Davies, & Frank Mauer. (2017). Agile Emergency Responses Using Collaborative Planning HTN. 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. 857–867). Albi, France: Iscram.
Abstract: Emergency response planning is a complex task due to multiple organizations involved, different planning considerations, etc. Using artificial intelligence collaborative planning helps in the automatic planning for complex situations. Analyzing all impacting factors along with plans that are executable can facilitate the decision making in Emergency Operations Centers for an agile emergency response. A main component of a planner is a knowledge base. Although many systems are developed to support decision making in emergency response or recovery, they either focus on specific or small organizations, or rely on simulations. To the best of our knowledge, there is a gap that there is no common knowledge base for provincial level mass emergencies for automatic planners. The multiplicity of the emergency response documents and their structure makes the knowledge acquisition complex. In this paper, we explain the process of extracting knowledge based on hierarchical task networks and how it speeds up the reactivity to a disaster.
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Frâncila Weidt Neiva, & Marcos R. S. Borges. (2019). Sharing Gut Feelings to Support Collaborative Decision Making. 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: Expertise-based intuition plays a key role in decision making, especially in complex environments as those
involved with crisis and emergency domains where decisions often need to be made on the basis of dynamic,
incomplete, and/ or contradictory information. In such environments, a deliberative analysis is often impossible
or inefficient. Using teams to make collaborative decisions in complex environments can bring benefits to
organizations, but the complexity of supporting this scenario also increases. The present work proposes a
solution based on graphs to support the sharing of the intuition rationale in teams aiming at an accelerated
expertise. The development of the proposal is part of a methodological context of design science research. In
this paper we report the execution of one of the expected cycles that explores the use of generated artifacts in
practice that then produced insights for the proposed computational support.
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Gaia Trecarichi, Veronica Rizzi, Lorenzino Vaccari, Maurizio Marchese, & Paolo Besana. (2009). Open Knowledge at work: Exploring centralized and decentralized information gathering in emergency contexts. 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: Real-world experience teaches us that to manage emergencies, efficient crisis response coordination is crucial. ICT infrastructures are effective in supporting the people involved in such contexts, by supporting effective ways of interaction. They also should provide innovative means of communication and information management. At present, centralized architectures are mostly used for this purpose; however, alternative infrastructures based on the use of distributed information sources, are currently being explored, studied and analyzed. This paper aims at investigating the capability of a novel approach (developed within the European project OpenKnowledge1) to support both centralized and decentralized architectures for information gathering. For this purpose, we developed an agent-based e-Response simulation environment fully integrated with the OpenKnowledge infrastructure and through which existing emergency plans are modelled and simulated. Preliminary results show the OpenKnowledge capability of supporting the two afore-mentioned architectures and, under ideal assumptions, a comparable performance in both cases.
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Gary M. Fetter, & Mauro Falasca. (2011). Establishing the need for decision support in disaster debris disposal. 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: One of the most important and costly aspects of recovery operations is debris collection and disposal. The unique nature of disaster debris and the extreme amounts generated as a result of the disaster event create challenges for decision makers that are not typically encountered during every day solid-waste disposal operations. This work-in-progress research is aimed at identifying the unique aspects of disaster debris disposal and the need for decision support, which addresses these unique aspects, to assist emergency management coordinators with allocating resources during on-going debris cleanup operations. We will present a decision support system framework, discuss aspects of the knowledge base, model base, and user interface, and show how an emergency management coordinator might use the system during ongoing daily operations using real-world data from a 2003 Atlantic hurricane.
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Gerd Van Den Eede, & Bartel A. Van De Walle. (2005). Operational risk in incident management: A cross-fertilisation between ISCRAM and IT governance. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 53–60). Brussels: Royal Flemish Academy of Belgium.
Abstract: The objectives of the research reported by the authors in this paper are threefold. First, the authors want to fine-tune the rresearch methodology on risk identification based on cognitive mapping techniques and group decision support systems (GDSS) developed earlier (Rutkowski et al., 2005). Second, the authors want to determine how High Reliability Theory (HRT) – through the characteristics of High Reliability Organisations (HROs) – can be applied in the particular organisational context of an important economic sector like banking. Third, the authors want to inquire into how Information Systems for Crisis Response and Management can benefit from experiences gained in a mainstream context. More specifically, the use of the Information Technology Infrastructure Library (ITIL) methodology will be explored from the perspective of Incident Management as a sub-process of ICT management.
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