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Author Bartel A. Van De Walle
Title Conference welcome on behalf of the ISCRAM board Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 4
Keywords (up)
Abstract
Address
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved
Call Number Serial 225
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Author T. Comes; F. Fiedrich; S. Fortier; J. Geldermann; T. Müller
Title ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages
Keywords (up)
Abstract The proceedings contain 137 papers. The topics discussed include: power outage communications: survey of needs, infrastructures and concepts; case study on risk analysis for critical systems with reliability block diagrams; the effect of age on technology acceptance among field police officers; crisis clever, a system for supporting crisis managers; dealing with information overload when using social media for emergency management: emerging solutions; 'do-it-yourself justice': considerations of social media use in a crisis situation: the case of the 2011 Vancouver riots; locating emergency responders using mobile wireless sensor networks; near real-time forensic disaster analysis; combining real and virtual volunteers through social media; emergency management: identifying problem domains in communication; and a cross impact scenario model of organizational behavior in emergencies.
Address
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 54
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Author Jürgen Beyerer; Thomas Usländer
Title ISCRAM2013 conference proceedings – Editorial Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 3
Keywords (up)
Abstract
Address Fraunhofer IOSB, Germany
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 318
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Author Robert Munro; Tyler Schnoebelen; Schuyler Erle
Title Quality analysis after action report for the crowdsourced aerial imagery assessment following hurricane sandy Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 929-930
Keywords (up)
Abstract
Address Idibon, United States
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Practitioners Track Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 795
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Author Kimmo Laakso
Title Emergency management: Identifying problem domains in communication Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 724-729
Keywords (up) Accidents; Civil defense; Communication; Disasters; Information systems; Risk analysis; Risk assessment; Delphi method; Emergency management; Major accidents; Organizational cultures; Problem domain; Response plans; Short term planning; Situational awareness; Risk management
Abstract In emergency management, the identification of hazards, analysis of risks, development of mitigation and response plans, maintaining of situational awareness and support of response and recovery are all complex responsibilities. A major accident brings together individuals belonging to many different organizations, having backgrounds in different fields of operation, and representing different organizational cultures. They have to absorb a large amount of information about the accident over a short period of time. In order to take effective action, actors are expected to work smoothly together, thus the flow of information from and to the actors involved is crucial. Nevertheless, there are certain problem domains in the different phases of emergency management, which may weaken the flow of information. In this paper we present the findings of the first round of a Delphi study in which we identified problem domains in communication both in long-term and short-term planning for major accidents.
Address Finland Futures Research Centre, Ahma Engineers Ltd., University of Turku, Finland
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Planning and Foresight Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 668
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Author Eduard Santamaria; Florian Segor; Igor Tchouchenkov
Title Rapid aerial mapping with multiple heterogeneous unmanned vehicles Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 592-596
Keywords (up) Aircraft accidents; Information systems; Mapping; Unmanned aerial vehicles (UAV); Unmanned vehicles; Complete coverages; Crisis management; Ground control stations; Natural disasters; Planning capability; Sensor footprints; Unmanned aircrafts; Work-load distribution; Motion planning
Abstract In this article, work in progress on a system for rapid aerial mapping is presented. We believe that a tool able to quickly generate an up-to-date high resolution aerial view, e.g. shortly after a natural disaster or a big incident occurs, can be a highly valuable asset to help first responders in the decision making. The presented work focuses on the path planning capabilities of the system, together with the area partitioning and workload distribution among a team of multi-rotor unmanned aircraft. Sensor footprint and range of the involved aircraft may differ. The presented approach is based on an approximate cellular decomposition of the area of interest. The results of this work will be integrated into an existing system which already provides a mobile ground control station able to supervise and control multiple sensor carriers.
Address Fraunhofer IOSB, Germany
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Innovations in Research Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 910
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Author Duncan T. Wilson; Glenn I. Hawe; Graham Coates; Roger S. Crouch
Title Scheduling response operations under transport network disruptions Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 683-687
Keywords (up) Algorithms; Decision theory; Disasters; Emergency services; Information systems; Optimization; Stochastic systems; Disaster response; Optimization algorithms; Predictive performance; Real-time information; Road transport networks; Routing; Scheduling problem; Transport networks; Scheduling
Abstract Modeling the complex decision problems faced in the coordination of disaster response as a scheduling problem to be solved using an optimization algorithm has the potential to deliver efficient and effective support to decision makers. However, much of the utility of such a model lies in its ability to accurately predict the outcome of any proposed solution. The stochastic nature of the disaster response environment can make such prediction difficult. In this paper we examine the effect of unknown disruptions to the road transport network on the utility of a disaster response scheduling model. The effects of several levels of disruption are measured empirically and the potential of using real-time information to revise model parameters, and thereby improve predictive performance, is evaluated.
Address School of Engineering and Computing Sciences, Durham University, Durham DH1 3LE, United Kingdom
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Intelligent Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1093
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Author Kostas Kolomvatsos; Kakia Panagidi; Stathes Hadjiefthymiades
Title Optimal spatial partitioning for resource allocation Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 747-757
Keywords (up) Algorithms; Disaster prevention; Disasters; Image segmentation; Information systems; Particle swarm optimization (PSO); Risk management; Disaster management; Emergency management; Emergency response; Intelligent techniques; Numerical results; Particle swarm optimization algorithm; Pso; Spatial partitioning; Resource allocation
Abstract Spatial partitioning consists of the problem of finding the best segmentation of an area under specific conditions. The final goal is to identify parts of the area where a number of resources could be allocated. Such cases are common in disaster management scenarios. In this paper, we consider such a scenario and propose a methodology for the resource allocation for emergency response. We utilize an intelligent technique that is based on the Particle Swarm Optimization algorithm. We define the problem by giving specific formulations and describe the proposed algorithm. Moreover, we provide a method for separating the area into cells and describe a technique for calculating cell weights based on the underlying spatial data. Finally, we present a case study for allocating a number of ambulances and give numerical results concerning the run time and the total coverage of the examined area.
Address Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Planning and Foresight Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 658
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Author Richard Arias-Hernandez; Brian Fisher
Title An interaction approach to enhance situational awareness and the production of anticipatory actions in emergency operation centers Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 488-496
Keywords (up) Alignment; Risk management; Anticipation; Emergency operation centers; Human-centered designs; Interaction design; Joint actions; Situational awareness; Design
Abstract Recent findings from fieldwork conducted at emergency operation centers (EOC) suggest that currently deployed emergency management information systems (EMIS) are not supporting properly the anticipation of individual actions in cooperative work. We present these findings in this paper and introduce joint action theory as an interaction approach to design technologies that explicitly provide for this kind of support. Our main arguments are: (1) contemporary EMIS are affecting negatively cooperative work at EOCs due to their lack of support for the anticipation of individual actions; (2) Available theory that emphasizes the role of anticipation on cooperative work is not impacting on the design of EMIS due to misalignments between the theory and contemporary situations; (3) Joint action theory provides an alternative framework to correct these misalignments; and (4) Joint action theory provides designers of EMIS with guides for an interaction design that supports anticipatory actions in EOCs.
Address Simon Fraser University, Canada
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Emergency Management Information Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 271
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Author Timothy Clark; Rich Curran
Title Geospatial site suitability modeling for US department of defense humanitarian assistance projects Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 463-467
Keywords (up) Analytic hierarchy process; Decision support systems; Disaster prevention; Disaster mitigation; Disaster preparedness; Geo-spatial analysis; Multicriteria decision; Suitability analysis; Information systems
Abstract The purpose of this paper is to outline the requirement for data-driven methods for determining optimal geographic locations of United States Department of Defense (DOD) Humanitarian Assistance (HA) resources, including disaster mitigation and preparedness projects. HA project managers and tactical implementers charged with cost-efficient deployment of HA resources are challenged to produce measurable effects, in addition to contributing to broader Joint and Interagency-informed security assistance strategies. To address these issues, our ongoing research advocates geospatial multi-criteria site suitability decision support capabilities that leverage 1) existing geospatial resource location-allocation methodology as applied in government, retail, and commercial sectors; 2) user-generated criteria and objective preferences applied in widely-used decision frameworks; 3) assessments of the feasibility of obtaining data at a geographic scale where DOD tactical/operational level users can benefit from the model outputs; and 4) social science theory related to the HA domain criteria that form the foundation of potential decision models.
Address Army Geospatial Center, US Army Corps of Engineers, United States; Engineer Research and Development Center, US Army Corps of Engineers, United States
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Emergency Management Information Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 401
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Author Muhammad Imran; Shady Elbassuoni; Carlos Castillo; Fernando Díaz; Patrick Meier
Title Extracting information nuggets from disaster- Related messages in social media Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 791-801
Keywords (up) Artificial intelligence; Data visualization; Disasters; Information retrieval; Information systems; Learning systems; Social networking (online); Emergency responders; Extracting information; Machine learning methods; Situational awareness; Social media; Supervised classification; Twitter; Visualization system; Emergency services
Abstract Microblogging sites such as Twitter can play a vital role in spreading information during “natural” or man-made disasters. But the volume and velocity of tweets posted during crises today tend to be extremely high, making it hard for disaster-affected communities and professional emergency responders to process the information in a timely manner. Furthermore, posts tend to vary highly in terms of their subjects and usefulness; from messages that are entirely off-topic or personal in nature, to messages containing critical information that augments situational awareness. Finding actionable information can accelerate disaster response and alleviate both property and human losses. In this paper, we describe automatic methods for extracting information from microblog posts. Specifically, we focus on extracting valuable “information nuggets”, brief, self-contained information items relevant to disaster response. Our methods leverage machine learning methods for classifying posts and information extraction. Our results, validated over one large disaster-related dataset, reveal that a careful design can yield an effective system, paving the way for more sophisticated data analysis and visualization systems.
Address University of Trento, Italy; American Univ. of Beirut, Lebanon; QCRI, Qatar; Microsoft Research, Qatar
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Social Media Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 613
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Author Flávio E. A. Horita; João Porto De Albuquerque
Title An approach to support decision-making in disaster management based on volunteer geographic information (VGI) and spatial decision support systems (SDSS) Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 301-306
Keywords (up) Artificial intelligence; Decision making; Decision support systems; Disaster prevention; Information systems; Disaster management; Extreme events; Geographic information; Spatial decision support systems; Updated informations; Vgi; Volunteered geographic information; Work-in-progress; Disasters
Abstract The damage caused by recent events in Japan in 2011 and USA in 2012 highlighted the need to adopt measures to increase the resilience of communities against extreme events and disasters. In addition to the conventional and official information that is necessary for adaptation to disasters, recently, common citizens residents in the affected areas also began contributing with voluntary qualified and updated information. In this context, this work-in-progress presents an approach that uses voluntary information – Also known by VGI (Volunteered Geographic Information) – As a data source for Spatial Decision Support Systems (SDSS) in order to assist the decision-making in disaster management. Our approach consists of a framework that integrates voluntary and conventional data, a SDSS and processes and methods for decision-making. As a result, it is expected that this approach will assist official organizations in disaster management by providing mechanisms and information.
Address Department of Computer Systems, ICMC University of São Paulo, São Carlos/SP, Brazil
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Decision Support Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 592
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Author Stella Moehrle
Title Modeling of countermeasures for large-scale disasters using high-level petri nets Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 284-289
Keywords (up) Artificial intelligence; Decision support systems; Disaster prevention; Information systems; Petri nets; Automatic processing; Disaster management; Generic approach; Generic decisions; High-level Petri nets; Large-scale disasters; Disasters
Abstract In order to support decision-making in large-scale disasters, IT-based decision support systems provide appropriate countermeasures to respond to the event. For the implementation of measures, logical and temporal dependencies have to be considered. Furthermore, factors influencing the choice of measures should be taken into account. This paper presents a generic approach to modeling sequences of countermeasures using Highlevel Petri Nets including information about the influencing factors and endangered objects. Moreover, an approach to combining several nets is proposed, which establish new sequences for recommendation. The research is part of the development of a generic decision support system for large-scale disasters. Consequently, the focus is on modeling in a generic manner and on automatic processing.
Address Institute for Nuclear and Energy Technologies, Germany
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Decision Support Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 777
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Author Simone De Kleermaeker; Jan Verkade
Title A decision support system for effective use of probability forecasts Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 290-295
Keywords (up) Artificial intelligence; Decision support systems; Forecasting; Hydrology; Information systems; Uncertainty analysis; Water management; Decision support system (dss); Hydrological forecast; Management decisions; Multidimensional problems; Predictive uncertainty; Probabilistic forecasts; Probability forecasts; Risk-based decisions; Decision making
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.
Address Deltares, Delft, Netherlands; Water Management Centre of Netherlands, Ministry of Infrastructure and the Environment, Storm Surge Forecasting Service, Lelystad, Netherlands; Delft University of Technology, Delft, Netherlands
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Decision Support Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 432
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Author Alexander Smirnov; Tatiana Levashova; Nikolay Shilov
Title Context-based knowledge fusion patterns in decision support system for emergency response Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 597-606
Keywords (up) Artificial intelligence; Decision support systems; Information systems; Context-Aware; Context-based; Decision supports; Emergency response; Internal structure; Knowledge fusion; Knowledge sources; Operational stages; Emergency services
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.
Address St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences (SPIIRAS), St.-Petersburg, Russian Federation; SPIIRAS, St.-Petersburg, Russian Federation
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Intelligent Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 960
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Author Michael E. Stiso; Aslak Wegner Eide; Ragnhild Halvorsrud; Erik G. Nilsson; Jan Håvard Skjetne
Title Building a flexible common operational picture to support situation awareness in crisis management Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 220-229
Keywords (up) Artificial intelligence; Decision support systems; Risk management; Common operational picture; Crisis management; Decision supports; Situation awareness; User research; Information systems
Abstract Decision support systems for emergency management tend to focus on making a lot of data meaningful to particular users via a common operational picture (COP). This paper describes one such system, but one that goes further by making the COP flexible enough to support multiple users. Large crises involve frequent role switching between different actors in a response. Hence, predicting the support needs of a given user of a COP is difficult at best, complicating the design process. The solution described here is to use interactive information overlays to enable different users to fit the COP to their particular SA needs. The design was evaluated in two user workshops and a demonstration. In general, it was well-received, but domain experts cautioned that the tool must be usable not only in large crises but in everyday operations, or else it will not be used.
Address SINTEF ICT, Norway
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Decision Support Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 976
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Author Soudip Roy Chowdhury; Muhammad Imran; Muhammad Rizwan Asghar; Amer-Yahia, S.; Carlos Castillo
Title Tweet4act: Using incident-specific profiles for classifying crisis-related messages Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 834-839
Keywords (up) Artificial intelligence; Disaster prevention; Classification methods; Crisis informatics; Disaster management; Micro-blogging platforms; Microblogging; Precision and recall; Standard machines; Twitter data-analytics; Information systems
Abstract We present Tweet4act, a system to detect and classify crisis-related messages communicated over a microblogging platform. Our system relies on extracting content features from each message. These features and the use of an incident-specific dictionary allow us to determine the period type of an incident that each message belongs to. The period types are: Pre-incident (messages talking about prevention, mitigation, and preparedness), during-incident (messages sent while the incident is taking place), and post-incident (messages related to the response, recovery, and reconstruction). We show that our detection method can effectively identify incident-related messages with high precision and recall, and that our incident-period classification method outperforms standard machine learning classification methods.
Address University of Trento, Italy; Fehler Textmarke Nicht Definiert, University of Trento, Italy; CNRS, LIG, France; QCRI, Doha, Qatar
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Social Media Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 396
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Author Axel Schulz; Tung Dang Thanh; Heiko Paulheim; Immanuel Schweizer
Title A fine-grained sentiment analysis approach for detecting crisis related microposts Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 846-851
Keywords (up) Artificial intelligence; Information systems; Learning systems; Risk management; Social networking (online); Amount of information; Emergency management; Microposts; Real-time information; Sentiment analysis; Situational awareness; Systematic evaluation; Twitter; Data mining
Abstract Real-time information from microposts like Twitter is useful for applications in the crisis management domain. Currently, that potentially valuable information remains mostly unused by the command staff, mainly because the sheer amount of information cannot be handled efficiently. Sentiment analysis has been shown as an effective tool to detect microposts (such as tweets) that contribute to situational awareness. However, current approaches only focus on two or three emotion classes. But using only tweets with negative emotions for crisis management is not always sufficient. The amount of remaining information is still not manageable or most of the tweets are irrelevant. Thus, a more fine-grained differentiation is needed to identify relevant microposts. In this paper, we show the systematic evaluation of an approach for sentiment analysis on microposts that allows detecting seven emotion classes. A preliminary evaluation of our approach in a crisis related scenario demonstrates the applicability and usefulness.
Address Technische Universität Darmstadt, Germany; Universität Mannheim, Germany
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Social Media Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 927
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Author Andrea Zielinski; Stuart E. Middleton; Laurissa N. Tokarchuk; Xinyue Wang
Title Social media text mining and network analysis for decision support in natural crisis management Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 840-845
Keywords (up) Arts computing; Decision support systems; Information systems; Software prototyping; Decision supports; Link analysis; Social media; Text mining; Vgi; Web Mining; Data mining
Abstract A core issue in crisis management is to extract from the mass of incoming information what is important for situational awareness during mass emergencies. Based on a case study we develop a prototypical application, TweetComp1, which is integrated into the decision-support component of a Tsunami early warning system and demonstrates the applicability of our approach. This paper describes four novel approaches using focused twitter crawling, trustworthiness analysis, geo-parsing, and multilingual tweet classification in the context of how they could be used for monitoring crises. The validity of our state-of-the art text mining and network analysis technologies will be verified in different experiments based on a human annotated gold standard corpus.
Address Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany; IT Innovation Centre, University of Southampton, Southampton, United Kingdom; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Social Media Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1160
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Author Sung Pil Moon; Yikun Liu; Steven O. Entezari; Afarin Pirzadeh; Andrew Pappas; Mark Pfaff
Title Top health trends: An information visualization tool for awareness of local health trends Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 177-187
Keywords (up) Automation; Decision support systems; Information analysis; Public health; Social networking (online); Automated process; Decision aids; Health trends; Information visualization; Intelligent information; Natural disasters; Situation awareness; Visualization technique; Information systems
Abstract We developed an intelligent information visualization tool to enable public health officials to detect healthrelated trends in any geographic area of interest, based on Twitter data. Monitoring emergent events such as natural disasters, disease outbreaks, and terrorism is vital for protecting public health. Our goal is to support situation awareness (SA) for personnel responsible for early detection and response to public health threats. To achieve this goal, our application identifies the most frequently tweeted illnesses in a ranked chart and map for a selected geographic area. Automated processes mine and filter health-related tweets, visualize changes in rankings over time, and present other keywords frequently associated with each illness. User-centered visualization techniques of monitoring, inspecting, exploring, comparing and forecasting supports all the three stages of SA. An evaluation conducted with experts in health-related domains provided significant insights about awareness of localized health trends and their practical use in their daily work.
Address Indiana University, IN, United States; MESH Coalition, IN, United States
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Critical Infrastructures Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 783
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Author Kim Weyns; Martin Höst
Title Case study on risk analysis for critical systems with reliability block diagrams Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 693-702
Keywords (up) Availability; Information systems; Reliability; Risk assessment; Risk perception; Complex failure; Critical systems; Failure category; Government; Organisational; Reliability block diagrams; Risk analysis methods; Vulnerability analysis; Risk analysis
Abstract 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. Through the use of different failure categories the risk analysis can be simplified, the input data becomes easier to estimate and the results are easier to use in an organisational risk and vulnerability analysis. The paper first explicitly describes the different steps of the method and then presents a case study in which the method was applied and evaluated in a real-life setting. The method is meant to help an organisation to communicate internally about the reliability of their critical IT systems and to prioritise proposed improvements to this reliability.
Address Department of Computer Science, Lund University, Sweden
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Planning and Foresight Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1078
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Author Michael R. Bartolacci; Albena Mihovska; Dilek Ozceylan Aubrecht
Title Optimization modeling and decision support for wireless infrastructure deployment in disaster planning and management Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 674-677
Keywords (up) Base stations; Decision support systems; Disaster prevention; Disasters; Equipment; Information dissemination; Information systems; Mobile telecommunication systems; Optimization; Wireless networks; Communication solutions; Disaster planning; Optimization modeling; Real-time management; Wireless communications; Wireless infrastructure deployments; Wireless network optimizations; Wireless technologies; Wireless telecommunication systems
Abstract Natural disasters and emergencies create the need for communication between and among the affected populace and emergency responders as well as other parties such as governmental agencies and aid organizations. Such communications include the dissemination of key information such as evacuation orders and locations of emergency shelters. In particular, the coordination of efforts between responding organizations require additional communication solutions that typically rely heavily on wireless communications to complement fixed line infrastructure due to the ease of use and portability. While the deployment of temporary mobile networks and other wireless equipment following disasters has been successfully accomplished by governmental agencies and network providers following previous disasters, there appears to be little optimization effort involved with respect to maximizing key performance measures of the deployment or minimizing overall cost to deploy. This work does not focus on the question of what entity will operate the portable base stations or wireless equipment utilized during a disaster, only the question of optimizing placement for planning and real time management purposes. This work examines current wireless network optimization models and points out that none of them include the necessary variables for a disaster planning or emergency deployment context. Due to the fact that the choice of wireless technology impacts the nature of an overall model, a brief discussion of exemplar wireless technologies is included. The work also proposes criteria that must be taken into account in order to have a useful model for deployment of mobile base stations and related wireless communications equipment.
Address Penn State University, Berks, United States; CTIF-Aalborg Univerity, Denmark; Sakarya University, Turkey
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Analytical Modelling and Simulation Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 295
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Author Olof Görnerup; Per Kreuger; Daniel Gillblad
Title Autonomous accident monitoring using cellular network data Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 638-646
Keywords (up) Bayesian networks; Carrier mobility; Inference engines; Information systems; Sensor networks; Traffic congestion; Anomaly detection; Bayesian inference; Cellular network; Crisis management; Emergency response; Large scale sensor network; Mobile communication networks; Vehicular traffic scenarios; Accidents
Abstract Mobile communication networks constitute large-scale sensor networks that generate huge amounts of data that can be refined into collective mobility patterns. In this paper we propose a method for using these patterns to autonomously monitor and detect accidents and other critical events. The approach is to identify a measure that is approximately time-invariant on short time-scales under regular conditions, estimate the short and long-term dynamics of this measure using Bayesian inference, and identify sudden shifts in mobility patterns by monitoring the divergence between the short and long-term estimates. By estimating long-term dynamics, the method is also able to adapt to long-term trends in data. As a proof-of-concept, we apply this approach in a vehicular traffic scenario, where we demonstrate that the method can detect traffic accidents and distinguish these from regular events, such as traffic congestions.
Address Swedish Institute of Computer Science, Sweden
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Analytical Modelling and Simulation Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 537
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Author L.T. Darryl Diptee; Jason Baker
Title Tackling wicked problems: Suicide in the US military Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 931-940
Keywords (up) Brain; Neurology; Cea; Chronic emotional atrophy; Depression; Emotional vitality assistant; Eva; Fld; Fls; Frontal lobes; Mental health; Military suicide; Social crisis; Veteran; Wicked problems; Information systems
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.
Address Naval Postgraduate School, United States; Old Dominion University, United States
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Open Track Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 422
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Author Beate Rottkemper; Kathrin Fischer
Title Decision making in humanitarian logistics – A multi-objective optimization model for relocating relief goods during disaster recovery operations Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 647-657
Keywords (up) Budget control; Decision making; Disasters; Information systems; Mathematical models; Multiobjective optimization; Recovery; Constraint methods; Decision making support; Disaster situations; Humanitarian logistics; Humanitarian operations; Multi objective decision making; Multi-objective optimization models; Scenario Planning; Emergency services
Abstract Disaster recovery operations rarely proceed smoothly and disruptions often require the redistribution of relief items. Such a redistribution has to be carried out taking into account both the current disruption and the uncertainty regarding possible future incidents in the respective area. As decisions have to be made fast in humanitarian operations, extensive optimization runs cannot be conducted in such a situation. Nevertheless, sensible decisions should be made to ensure an efficient redistribution, considering not only satisfaction of needs but also operational costs, as the budget is usually scarce in the recovery phase of a disaster. In this work, different scenarios are generated and then solved with a multiobjective optimization model to explore possible developments. By evaluating the results of these scenarios, decision rules are identified which can support the decision maker in the actual disaster situation in making fast, but nevertheless well-founded, decisions.
Address Institute for or and is Hamburg, University of Technology, Germany
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Analytical Modelling and Simulation Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 895
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