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Author Brian Fisher; Richard Arias-Hernandez
Title Message from the conference chairs Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up)
Abstract
Address
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved
Call Number Serial 494
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Author Leon J.M. Rothkrantz; Jozef Ristvej.; Zeno Franco
Title Message from the program chairs Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up)
Abstract
Address
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved
Call Number Serial 893
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Author L. Rothkrantz, J. Ristvej, Z.Franco
Title ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Type Conference Volume
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up)
Abstract The proceedings contain 140 papers. The topics discussed include: for whom the siren sounds: public perceptions of outdoor warning sirens in Northeast Alabama; design and initial validation of the raster method for telecom service availability risk assessment; using document-based databases for medical information systems in unreliable environments; integrating national tsunami early warning systems – towards ocean-wide system-of-systems networks; an agent-based approach for safety analysis of safety-critical organizations; a pragmatic approach to smart workspaces for crisis management; reducing workload by navigational support in dynamic situations; exploring the design of technological platforms for virtual communities of practices; and emergency response in rural areas – how new ways of organizing and supporting first responders can apply to crisis management.
Address
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Proceeding Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 15
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Author Katarína Zánická Holla; Ladislav Simak; Jozef Ristvej.
Title Systematic method of risk assessment in industrial processes Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Accidents; Disasters; Industrial hygiene; Information systems; Occupational diseases; Hazardous substances; Industrial accident; Industrial accident assessments; Industrial processs; Research activities; Technological process; Technological system; Theoretical aspects; Risk assessment
Abstract The mankind has passed through a significant historical frontier, including technological processes where hazardous substances are the potential threats for the employees, the public, environment and property and therefore it is inevitable to pay increased attention to the occurrence of the industrial accidents and mainly to their prevention. The area of safety of technical and technological systems is very closely connected not only with the reliability of the processes but also with the technical as well as social, legal and other aspects. There exist several systematic approaches, methods and techniques to assess industrial processes and risks linked to these processes on the European Union level and also on the national level of each member state. We can mention some basic systematic approaches – MOSAR, CPQRA, ARAMIS, PRA (PSA) widely used in this area. But according to the analyst's needs they usually miss structured and systematic approach, how to complete the risk assessment in steps and what the content of each of these steps is. The main focus of this paper is to discuss the theoretical aspects of the risk assessment in industrial processes and to show the possible approach of structured and systematic methods with support of logical diagrams to fulfill all tasks concerning the industrial accident assessment. Last but not least it is to present the research activities of the Department of Crisis Management, University of Žilina in Žilina, Slovakia. © 2012 ISCRAM.
Address University of Žilina, Slovakia
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Poster Session Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 132
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Author Aygul Gabdulkhakova; Birgitta König-Ries; Dmitry Rizvanov
Title Rational resource allocation in mass casualty incidents – Adaptivity and efficiency Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Agents; Information systems; Semantics; Adaptivity; Allocation methods; Efficiency of the suggested approaches; Mass casualty incidents; Real-world; Resource usage; Semantic service; Theoretical evaluation; Resource allocation
Abstract Mass casualty incidents (MCI) are highly dynamic situations in which limited available resources need to be quickly and efficiently allocated. In this paper, we suggest considerable extensions to an allocation method that we presented in earlier work. The extensions address two major challenges: First, the need to balance real-world resource usage and second, the need to adapt to changing situations. Additionally, a theoretical evaluation of the efficiency of the suggested approach is described. © 2012 ISCRAM.
Address Institute of Computer Science, Friedrich-Schiller-University, Jena, Germany; Department of Computer Science and Robotics, Ufa State Aviation Technical University, Russian Federation
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Track Decision Support Methods for Complex Crises Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 41
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Author Rita Kovordanyi; Rudolf Schreiner; Jelle Pelfrene; Johan Jenvald; Henrik Eriksson; Amy Rankin; Michael Morin
Title Real-time support for exercise managers' situation assessment and decision making Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Aggregates; Decision making; Decision support systems; Information systems; Managers; Ontology; Personnel training; Query languages; Semantics; Crisis management; Monitoring and controlling; Multiple response; Ontological representation; Semantic event processing; Situation assessment; Stream-based; Topic Maps; Human resource management
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.
Address Linköping University, Sweden; Object Security, Sweden; Space Applications Solutions, Sweden; VSL Systems, Sweden
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Event-Driven Techniques and Methods for Crisis Management Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 143
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Author Robert Lawatscheck; Stephan Düsterwald; Carsten Wirth; Torsten Schröder
Title ALARM: A modular IT solution to support and evaluate mass casualty incident (MCI) management Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Alarm systems; Drilling; Information systems; Patient treatment; Personnel training; Radio frequency identification (RFID); Starting; Telemedicine; Alarm; Mass casualty incidents; Mission Report; Performance indicators; Tactical Worksheet; Triage; Information management
Abstract ALARM is a modular IT-solution to support emergency medical service (EMS) providers and rescue staff in mass casualty incident response and training. Seven modules were implemented, covering the entire process from preliminary triage, treatment support and resource management to tactical information and registration. Communication technology is used to close information and documentation gaps. The system uses medical algorithms and telemedicine to improve patient treatment. The ALARM system generates logs automatically including procedural time stamps and outcome factors such as triage and transport categories. This allows an objective analysis and comparison of missions and opens a new approach to evidence based MCI management and training. © 2012 ISCRAM.
Address Telemedizincentrum, Charité – Universitätsmedizin Berlin, Germany; Klinik für Anästhesiologie mit Schwerpunkt operative Intensivmedizin, Charité – Universitätsmedizin Berlin, Germany; Technische Universität Berlin, DAI-Labor, Germany
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Healthcare Crisis Management Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 151
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Author Alexander Kiselev; Sergey Bogatov
Title Model PROLOG for countermeasures efficacy assessment and its calculation algorithm verification on the base of the Chazhma Bay accident data Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Algorithms; Cobalt compounds; Dispersions; Efficiency; Information systems; Landforms; Radioactivity; Calculation algorithms; Complex terrains; Computational model; Dry deposition velocities; Gaussian dispersions; Methodical approach; Radioactive contamination; Surface contaminations; Accidents
Abstract Methodical approaches used in the computational model “PROLOG” are given in the paper. This model is intended for assessing radiological situations and an efficiency of counter measures after short term radioactive releases. Basic local Gaussian dispersion algorithm is supplemented with modules for assessing a plume rise, dry deposition velocities, effect of buildings and complex terrain, etc. The modules provide a compromise between simplicity, shortage of initial data and adequacy of the model in case of real accident. Approaches to assess the dose and countermeasure efficiency are presented as well. Plume rise, complex terrain and contaminant polydispersity modeling approaches were tested on the basis of comparison of calculation and experimental results for dose rate and Co-60 surface contamination measured after the Chazhma bay accident in 1985. © 2012 ISCRAM.
Address IBRAE RAN, Russian Federation
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Analytical Modelling and Simulation Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 140
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Author Duncan T. Wilson; Glenn I. Hawe; Graham Coates; Roger S. Crouch
Title Estimating the value of casualty health information to optimization-based decision support in response to major incidents Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Algorithms; Combinatorial optimization; Decision support systems; Information systems; Optimization; Accurate modeling; Computational experiment; Decision supports; Emergency response; Health informations; Optimization algorithms; Uncertain features; Work-in-progress; Emergency services
Abstract In this paper we describe a work-in-progress decision support program designed for use in the response to major incidents in the UK. The proposed program is designed for use in a continuous fashion, where the updating of its model, the search for solutions to the model through an optimization algorithm, and the issuing of these solutions are carried out concurrently. The model facilitates the inclusion of dynamic and uncertain features of emergency response. The potential of such an approach to deliver high-quality response plans through enabling more accurate modeling is evaluated through focusing on the case of casualty health information. Computational experiments show there is significant value in monitoring the dynamic and uncertain health progression of casualties and updating the model accordingly. © 2012 ISCRAM.
Address School of Engineering and Computing Sciences, Durham University, Durham, United Kingdom
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Track Decision Support Methods for Complex Crises Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 240
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Author Kui Wang; Jose Marti; Ming Bai; K.D. Srivastava
Title Optimal decision maker algorithm for disaster response management with I2Sim applications Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Algorithms; Computer software; Disasters; Emergency services; Information systems; Lagrange multipliers; Optimization; Human-readable; I2Sim toolbox; Infrastructure interdependencies; Infrastructure resources; Infrastructures interdependencies; Optimization algorithms; Software simulation; University of British Columbia; Decision making
Abstract Disaster response management has become an important area of research in recent years, with authorities spending more resources in the area. Infrastructure resource interdependencies are key critical points for a system to operate optimally. After a disaster occurs, infrastructures would have sustained certain degrees of damage, the allocation of limited resources to maximize human survival becomes a top priority. The I2Sim (Infrastructures Interdependencies Simulator) research group at the University of British Columbia (UBC) has developed a software simulation toolbox to help authorities plan for disaster responses. This paper presents an optimization decision algorithm based on Lagrange multipliers, which provides the theoretical basis for I2Sim software decision maker layer. There is a simple scenario of three hospitals constructed with the I2Sim toolbox to illustrate the interdependencies of water and electricity. © 2012 ISCRAM.
Address
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Track Decision Support Methods for Complex Crises Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 235
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Author Benjamin Heuer; Jan Zibuschka; Heiko Roßnagel; Johannes Maucher
Title Empirical analysis of passenger trajectories within an urban transport hub Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Algorithms; Information systems; Trajectories; Urban transportation; Central stations; Data mining algorithm; Empirical analysis; Empirical data; Passenger movements; Simulation framework; Urban transport; Data mining
Abstract In this contribution we present an analysis of passenger trajectories in an urban transportation hub. We collected an extensive amount of empirical data consisting of both gate and individual stalking observation in the central station of Cologne. Three different data mining algorithms are used to analyze this data, producing both data that may be used as input for simulation frameworks, and, as an aside, visualizations of passenger movements that could be of high interest to transport and emergency managers. © 2012 ISCRAM.
Address Hochschule der Medien (HdM), Germany; Fraunhofer IAO, Germany
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Analytical Modelling and Simulation Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 129
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Author José H. Canós-Cerdá; Carmen Penadés; Abel Gómez; Marcos R. S. Borges
Title SAGA: An integrated architecture for the management of advanced emergency plans Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Architecture; Civil defense; Disasters; Information services; Information systems; Life cycle; Risk management; Advanced process; Automatic tools; Document management; Emergency management; Emergency plans; Emergency response; Integrated architecture; Software and hardwares; Human resource management
Abstract Despite the significant advances that software and hardware technologies have brought to the emergency management field, some islands remain where innovation has had little impact. Among them, emergency plan management is of particular relevance due to their key role in the direction of teams during responses. Aspects like coordination, collaboration, and others are spread in plain text sentences, impeding automatic tool support to improve team per-formance. Moreover, administrative management of plans becomes a mere document management activity. In this paper, we present SAGA, an architecture that supports the full lifecycle of advanced emergency plan management. By advanced we mean plans that include new types of interaction such as hypermedia and advanced process definition languages to provide precise specification of response procedures. SAGA provides all the actors involved in plan management a number of tools supporting all the stages of the plan lifecycle, from its creation to its use in training drills or actual responses. It is intended to be instantiated in systems promoted by civil defense agencies, providing administrative support to plan management; additionally, editing tools for plan designers and tools for analysis and improvement of such plans by organizations are provided. Plan enactment facilities in emergency response are also integrated. To our knowledge, it is the very first proposal that covers all the aspects of plan man-agement. © 2012 ISCRAM.
Address ISSI, DSIC, Universitat Politécnica de Valéncia, Spain; Programa de Pós Graduaçao em Informática, Departamento de Ciéncia da Computaçao, Universidade Federal do Rio De Janeiro, Brazil
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Planning and Foresight Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 88
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Author Alexandre Ahmad; Olivier Balet; Jesse Himmelstein; Arjen Boin; Maaike Schaap; Paolo Brivio; Fabio Ganovelli; Enrico Gobbetti; Giovanni Pintore; Jean-Baptiste De La Riviere
Title Interactive simulation technology for crisis management and training: The INDIGO project Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Artificial intelligence; Augmented reality; Decision support systems; Image reconstruction; Information systems; Managers; Mobile devices; Personnel training; Common operational picture; Crisis management; Crisis simulations; Image-Based Rendering; Interactive simulations; Simulation software; Visualization systems and software; White board; Computer software
Abstract To face the urgent need to train strategic and operational managers in dealing with complex crises, we are researching and developing an innovative decision support system to be used for crisis management and interactive crisis training. This paper provides an overview of current decision-support systems, simulation software and other technologies specifically designed to serve crisis managers. These findings inform the design of a new interactive simulation technology system, where a 3D Common Operational Picture (COP) is shared between tactile digital whiteboard in the command center and mobile devices in the field. © 2012 ISCRAM.
Address DIGINEXT, France; CRISIS PLAN, France; ISTI, CNR, France; CRS4, Italy; IMMERSION, France
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Open Track Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 68
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Author Ali Khalili-Araghi; Uwe Glässer; Hamed Yaghoubi Shahir; Brian Fisher; Piper Jackson
Title Intelligent decision support for emergency responses Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Artificial intelligence; Command and control systems; Decision support systems; Dynamics; Information systems; Intelligent agents; Adaptive information; Command and control; Dynamic resource configurations; Emergency response; Heterogeneous resources; Intelligent decision support; Intelligent decision support systems; Situational awareness; Information management
Abstract With a coastline touching upon the Pacific and Atlantic Oceans, the Great Lakes and the Arctic Sea, the Canadian MSOCs are faced with a daunting task. They are responsible for both routine duties, including patrolling coastal areas and collecting satellite data, as well as critical missions, such as emergency response and crime intervention. Both kinds of mission require the fusion of data from a variety of sources and the orchestration of myriad heterogeneous resources over great physical distances. They must deal with uncertainty, both in terms of what can be known and also in the outcomes of actions, and must interact with an environment prone to dynamic change. We present the architecture and core mechanisms of a decision support system for marine safety and security operations (Glässer, Jackson, Araghi, When and Shahir, 2010). The goal of this system is to enhance complex command and control tasks by improving situational awareness and automating task assignments. This system concept includes adaptive information fusion techniques integrated with decentralized control mechanisms for dynamic resource configuration management and task execution management under uncertainty. Autonomously operating agents employ collaboration and coordination to collectively form an intelligent decision support system. © 2012 ISCRAM.
Address School of Interactive Arts and Technology, Simon Fraser University, Canada; School of Computing Science, Simon Fraser University, Canada
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Poster Session Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 139
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Author Huizhang Shen; Jingwen Hu; Jidi Zhao; Jing Dong
Title Ontology-based modeling of emergency incidents and crisis management Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Artificial intelligence; Database systems; Decision support systems; Information systems; Ontology; Reusability; Risk management; Semantics; Crisis management; Crisis response; Decision supports; Emergency Decision-making; Emergency Incidents; Emergency management systems; Emergency response; Relational Database; Information management
Abstract With the frequent occurrence of emergency incidents in recent years, developing intelligent and effective decision support systems for emergency response and management is getting crucial to the government and public administration. Prior research has made many efforts in constructing crisis databases over the decades. However, existing emergency management systems built on top of these databases provide limited decision support capabilities and are short of information processing and reasoning. Furthermore, ontology based on logic description and rules has more semantics description capability compared to traditional relational database. Aiming to extend existing studies and considering ontology's reusability, this paper presents an approach to build ontology-based DSSs for crisis response and management. © 2012 ISCRAM.
Address Department of Management Information Systems, Shanghai Jiao Tong University, Shanghai, 200052, China; Department of Public Administration, East China Normal University, Shanghai, 200062, China
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Intelligent Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 206
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Author Stella Moehrle
Title Generic self-learning decision support system for large-scale disasters Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Artificial intelligence; Decision making; Decision support systems; Disaster prevention; Disasters; Information systems; Complex structure; Decision makers; Decision making process; Decision process; Disaster management; Emergency response; Large-scale disasters; Work in progress; Emergency services
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.
Address Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Germany
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Track Decision Support Methods for Complex Crises Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 171
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Author Felix Wex; Guido Schryen; Dirk Neumann
Title Operational emergency response under informational uncertainty: A fuzzy optimization model for scheduling and allocating rescue units Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Artificial intelligence; Decision support systems; Fuzzy set theory; Information systems; Monte Carlo methods; Optimization; Computational evaluation; Coordination; Decision support models; Fuzzy optimization model; Heuristic solutions; Informational uncertainty; Linguistic assessment; Operational emergency; Scheduling
Abstract Coordination deficiencies have been identified after the March 2011 earthquakes in Japan in terms of scheduling and allocation of resources, with time pressure, resource shortages, and especially informational uncertainty being main challenges. We suggest a decision support model that accounts for these challenges by drawing on fuzzy set theory and fuzzy optimization. Based on requirements from practice and the findings of our literature review, the decision model considers the following premises: incidents and rescue units are spatially distributed, rescue units possess specific capabilities, processing is non-preemptive, and informational uncertainty through linguistic assessments is predominant when on-site units vaguely report about incidents and their attributes, or system reports are not exact. We also suggest a Monte Carlo-based heuristic solution procedure and conduct a computational evaluation of different scenarios. We benchmark the results of our heuristic with results yielded through applying a greedy approach. The results indicate that using our Monte Carlo simulation to solve the decision support model inspired by fuzzy set theory can substantially reduce the overall harm. © 2012 ISCRAM.
Address Albert-Ludwigs-Universität Freiburg, Germany; Universität Regensburg, Germany
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Intelligent Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 238
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Author Felix Riedel; Fernando Chaves
Title Workflows and decision tables for flexible early warning systems Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Artificial intelligence; Decision support systems; Information systems; Decision supports; Flexibility; Rules; Usability; Work-flows; Decision tables
Abstract Today's decision support systems for crisis management are mostly designed to support a fixed process that integrates a given set of information sources. This means policies that govern the crisis management process are tightly integrated with the implementation, which makes it hard to adapt the system to changing requirements. Modern systems are expected to be adaptable and need to evolve along with the availability of new information sources and changing business processes. Previous work suggested using workflow systems to manage crisis management processes. Current approaches that use workflow systems are not end-user friendly or not flexible enough. In this paper we present our approach that combines workflows and decision tables for creating more flexible decision support systems. While workflows are used to orchestrate services and implement information logistics in the decision support processes, embedded rule sets are used to provide flexibility and adaptability of workflows. The rule sets are authored using decision tables which are an easy-to-use representation that allows end-users to express rules in an intuitive way. © 2012 ISCRAM.
Address Fraunhofer IOSB, Germany
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Early Warning and Expert Systems for Disaster Management Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 194
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Author Kate Starbird; Grace Muzny; Leysia Palen
Title Learning from the crowd: Collaborative filtering techniques for identifying on-the-ground Twitterers during mass disruptions Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Artificial intelligence; Information systems; Learning systems; Social networking (online); Support vector machines; Crisis informatics; Human computation; Mass disruption; Microblogging; Political protest; Behavioral research
Abstract Social media tools, including the microblogging platform Twitter, have been appropriated during mass disruption events by those affected as well as the digitally-convergent crowd. Though tweets sent by those local to an event could be a resource both for responders and those affected, most Twitter activity during mass disruption events is generated by the remote crowd. Tweets from the remote crowd can be seen as noise that must be filtered, but another perspective considers crowd activity as a filtering and recommendation mechanism. This paper tests the hypothesis that crowd behavior can serve as a collaborative filter for identifying people tweeting from the ground during a mass disruption event. We test two models for classifying on-the-ground Twitterers, finding that machine learning techniques using a Support Vector Machine with asymmetric soft margins can be effective in identifying those likely to be on the ground during a mass disruption event. © 2012 ISCRAM.
Address University of Colorado, Boulder, United States; University of Washington, Seattle, United States
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Social Media and Collaborative Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 208
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Author Jack Pagotto; Darrell O'Donnell
Title Canada's multi-agency situational awareness system – Keeping it simple Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Atoms; Bioinformatics; Civil defense; Computer architecture; Disasters; Geographic information systems; Information dissemination; Information systems; Maps; Risk management; Virtual reality; Cap; Collaboration; Common alerting protocols; Data aggregation; Emergency management; GeoRSS; Hub; Incident; Information exchanges; Multi agencies; Open Standards; Situational awareness; System-of-systems; Information management
Abstract The Canadian Multi-Agency Situational Awareness System (MASAS) is rapidly becoming Canada's national system for exchanging emergency management incident-relevant information amongst multiple agencies and jurisdictions. Through the use of structured information aligned with open standards, and a centrally managed open architecture, MASAS provides a trusted virtual community with the ability to seamlessly exchange emergency management information. MASAS offers an information exchange architecture that is based around a highly resilient system of data aggregation hubs that are easily accessible directly or through third party commercial tools by emergency management officials at all levels, from the smallest community in the most remote areas of Canada's north to key federal stakeholders such as the federal Government Operations Centre or the Canadian military. This paper highlights the key design principles, experimental activities, and technology implementation strategies that are positioning MASAS as a Canadian success story in the making – from coast to coast to coast. © 2012 ISCRAM.
Address Centre for Security Science, Canada; Continuum Loop Inc., Canada
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Inter-Organizational Exercises and Operations Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 182
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Author Murray E. Jennex
Title Social media – Truly viable for crisis response? Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Availability; Hardware; Cell phone; Crisis events; Crisis response; San Diego; Social media; Information systems
Abstract On September 8, 2011 the Great San Diego/Southwest Blackout occurred. Approximately 5 million people were affected by this blackout. This paper explores the availability of social media following such a crisis event. Contrary to expectations, the cell phone system did not have the expected availability and as a result, users had a difficult time using social media to status/contact family and friends. This paper presents a survey exploring the use and availability of social media during the Great San Diego/Southwest Blackout event. © 2012 ISCRAM.
Address San Diego State University, United States
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Social Media and Collaborative Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 23
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Author Kim Weyns; Martin Höst
Title Risk analysis for critical systems with reliability block diagrams Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Availability; Hospital data processing; Information systems; Reliability analysis; Risk assessment; Complex failure; Critical systems; Government; Patient data; Reliability block diagrams; Relief activities; Risk analysis methods; Vulnerability analysis; Risk analysis
Abstract Governmental organisations are becoming more critically dependant on IT systems such as communication systems or patient data systems, both for their everyday tasks and their role in crisis relief activities. Therefore it is important for the organisation to analyse the reliability of these systems as part of the organisation's risk and vulnerability analysis process. This paper presents a practical risk analysis method for critical, large-scale IT systems in an organisation. The method is based on reliability block diagram modelling and was adapted to fit the requirements of governmental organisations and to reduce the effort required to capture complex failure behaviour. The paper first explicitly lists the requirements that such a risk analysis method must fulfil, then presents the proposed risk analysis method and finally outlines the planned evaluation of this method. © 2012 ISCRAM.
Address Lund University, Sweden
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Planning and Foresight Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 239
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Author Eelco Vriezekolk; Roel Wieringa; Sandro Etalle
Title Design and initial validation ofthe Rastermethod for telecom service availability risk assessment Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Availability; Information systems; Societies and institutions; Telecommunication services; Commercial structures; Crisis response; Crisis situations; Government agencies; Problem domain; Risk assessment methods; Service Level Agreements; Telecom services; Risk assessment
Abstract Crisis organisations depend on telecommunication services; unavailability of these services reduces the effectiveness of crisis response. Crisis organisations should therefore be aware of availability risks, and need a suitable risk assessment method. Such a method needs to be aware of the exceptional circumstances in which crisis organisations operate, and of the commercial structure of modern telecom services. We found that existing risk assessment methods are unsuitable for this problem domain. Hence, crisis organisations do not perform any risk assessment, trust their supplier, or rely on service level agreements, which are not meaningful during crisis situations. We have therefore developed a new risk assessment method, which we call RASTER. We have tested RASTER using a case study at the crisis organisation of a government agency, and improved the method based on the analysis of case results. Our initial validation suggests that the method can yield practical results. © 2012 ISCRAM.
Address Radiocommunications Agency Netherlands, University of Twente, Netherlands; Eindhoven University of Technology, University of Twente, Netherlands
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Planning and Foresight Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 233
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Author Ahmed Nagy; Jeannie Stamberger
Title Crowd sentiment detection during disasters and crises Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Bayesian networks; Emergency services; Information systems; Risk management; Social networking (online); Crisis management; Disaster response; Emergency management; Short message; Twitter; Disasters
Abstract Microblogs are an opportunity for scavenging critical information such as sentiments. This information can be used to detect rapidly the sentiment of the crowd towards crises or disasters. It can be used as an effective tool to inform humanitarian efforts, and improve the ways in which informative messages are crafted for the crowd regarding an event. Unique characteristics of microblogs (lack of context, use of jargon etc) in Tweets expressed by a message-sharing social network during a disaster response require special handling to identify sentiment. We present a systematic evaluation of approaches to accurately and precisely identify sentiment in these Tweets. This paper describes sentiment detection expressed in 3698 Tweets, collected during the September 2010, San Bruno, California gas explosion and resulting fires. The data collected was manually coded to benchmark our techniques. We start by using a library of words with annotated sentiment, SentiWordNet 3.0, to detect the basic sentiment of each Tweet. We complemented that technique by adding a comprehensive list of emoticons, a sentiment based dictionary and a list of out-of-vocabulary words that are popular in brief, online text communications such as lol, wow, etc. Our technique performed 27% better than Bayesian Networks alone, and the combination of Bayesian networks with annotated lists provided marginal improvements in sentiment detection than various combinations of lists. © 2012 ISCRAM.
Address Carnegie Mellon Silicon Valley, IMT Lucca Institute of Advanced Studies, United States; Disaster Management Initiative, Carnegie Mellon Silicon Valley, United States
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Social Media and Collaborative Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 173
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Author Eli Rohn; Gil Erez
Title Fighting agro-terrorism in cyberspace: A framework for intention detection using overt electronic data sources Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords (up) Bioterrorism; Chemical detection; Data mining; Information retrieval; Information systems; Risk assessment; World Wide Web; Authorship; Cyber-terrorism; Digital shadow; Intelligence; Text mining; Terrorism
Abstract Agro Terrorism is “a hostile attack, towards an agricultural environment, including infrastructures and processes, in order to significantly damage national and international political interests”. This special session within the early warning track is aimed at reducing agro-terrorism related risks by either means of prevention (intelligence gathering using data mining and chatter mining, for example) or means to response to such an attack by early detection of exotic/foreign pathogenic agents, early prediction of disease dispersion patterns, implementation of biosecurity measures, and the development of future methodologies and techniques related to food defense and post-event response. This paper focuses on intention detection using overt data sources on the World Wide Web as they relate to agro-terrorism threats. The paper focuses on early detection that can lead to prevention of such acts, yet a variety of the techniques presented here are also useful for helping in post-event perpetrators detection. © 2012 ISCRAM.
Address Software and Information Systems Engineering Department, Ben Gurion University, Israel; Counter Agro Terrorism Research Center, Israel
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Planning and Foresight Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 196
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