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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 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 (up)
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 Benny Carlé; Fernand Vermeersch; Carlos Rojas Palma
Title Systems improving communication in case of a nuclear emergency: Two information exchange systems in the Belgian Nuclear Research Center Type Conference Article
Year 2004 Publication Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2004
Volume Issue Pages 57-62
Keywords Artificial intelligence; Civil defense; Communication systems; Decision support systems; Information management; Information systems; Radioactive materials; Risk management; Crisis communications; Crisis response; Decision support system (dss); Emergency management; Emergency response; Nuclear emergencies; Emergency services
Abstract Creating a 'common view' between all stakeholders on the course of an emergency situation and the possible consequences is a challenge for any crisis management organisation. In the SCKâEUR¢CEN nuclear emergency preparedness research two projects address two different and particular communication or information management challenges. The HINES system aims at creating a common view by using an information system as a communication tool in an on-site nuclear emergency response room. The MODEM project uses XML-technology to stimulate communication between scientific experts from different countries and institutes by facilitating the exchange of information used in decision support models used to assess the impact of a release of radioactive material in the environment. Both systems are implemented in prototype phase and used regularly during exercises. © Proceedings ISCRAM 2004.
Address SCK CEN, Belgian Nuclear Research Center, Boeretang 200, 2400 Mol, Belgium
Corporate Author Thesis
Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9076971080 Medium
Track Poster Session Expedition Conference 1st International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 89
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Author Marnix De Ridder; Chris Twenhöfel
Title The design and implementation of a decision support and information exchange system for nuclear emergency management in the Netherlands Type Conference Article
Year 2004 Publication Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2004
Volume Issue Pages 33-38
Keywords Artificial intelligence; Decision support systems; Information dissemination; Information systems; Risk management; Communication facilities; Crisis management; Design and implementations; Emergency response; Information exchange system; Information exchanges; Information infrastructures; Nuclear emergencies; Information management
Abstract An information system for decision support and information exchange is designed and a prototype has been build for use in the Back Office Radiological Information (BORI) of the EPAn; the Dutch nuclear emergency organisation. System developments are directed at a fast and efficient production of a radiological status report and the improvement of information exchange and communications between the participating institutes of BORI. Special attention has been given to network security and the information infrastructure to manage virtual workplaces. We have chosen for a standard web based system development for the presentation and communication facilities. This is supplemented by a GIS based system for the aggregation of measurement data and model calculations. © Proceedings ISCRAM 2004.
Address Laboratory for Radiation Research, National Institute for Public Health and the Environment, P.O. Box 1, 3720 BA Bilthoven, Netherlands
Corporate Author Thesis
Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9076971080 Medium
Track Emergency Response Information Systems Expedition Conference 1st International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 98
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Author Simon French; Carmen Niculae
Title Believe in the model: Mishandle the emergency Type Conference Article
Year 2004 Publication Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2004
Volume Issue Pages 9-14
Keywords Artificial intelligence; Civil aviation; Civil defense; Decision making; Decision support systems; Disasters; Forecasting; Information systems; Risk management; Crisis management; Cynefin; Decision support system (dss); Emergency management; Model prediction; Uncertainty; Economic and social effects
Abstract During the past quarter century there have been many developments in scientific models and computer codes to help predict the ongoing consequences in the aftermath of many types of emergency: e.g. storms and flooding, chemical and nuclear accident, epidemics such as SARS and terrorist attack. Some of these models relate to the immediate events and can help in managing the emergency; others predict longer term impacts and thus can help shape the strategy for the return to normality. But there are many pitfalls in the way of using these models effectively. Firstly, non-scientists and, sadly, many scientists believe in the models' predictions too much. The inherent uncertainties in the models are underestimated; sometimes almost unacknowledged. This means that initial strategies may need to be revised in ways that unsettle the public, losing their trust in the emergency management process. Secondly, the output from these models form an extremely valuable input to the decision making process; but only one such input. Most emergencies are events that have huge social and economic impacts alongside the health and environmental consequences. While we can model the latter passably well, we are not so good at modelling economic impacts and very poor at modelling social impacts. Too often our political masters promise the best 'science-based' decision making and too late realise that the social and economic impacts need addressing. In this paper, we explore how model predictions should be drawn into emergency management processes in more balanced ways than often has occurred in the past. © Proceedings ISCRAM 2004.
Address Manchester Business School, University of Manchester, Booth Street West, Manchester M15 6PB, United Kingdom
Corporate Author Thesis
Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9076971080 Medium
Track Conference Keynote Expedition Conference 1st International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 111
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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 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 (up)
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 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 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 (up)
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 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 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 (up)
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 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 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 (up)
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 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 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 (up)
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 Gerd Van Den Eede; Bartel A. Van De Walle
Title Operational risk in incident management: A cross-fertilisation between ISCRAM and IT governance Type Conference Article
Year 2005 Publication Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2005
Volume Issue Pages 53-60
Keywords Artificial intelligence; Decision support systems; Group theory; Information systems; Knowledge management; Mapping; Cognitive mapping; Financial institution; Incident Management; Iscram; IT governance; Learning organisation; Normal Accidents Theory; Operational risks; Reliability theory
Abstract The objectives of the research reported by the authors in this paper are threefold. First, the authors want to fine-tune the rresearch methodology on risk identification based on cognitive mapping techniques and group decision support systems (GDSS) developed earlier (Rutkowski et al., 2005). Second, the authors want to determine how High Reliability Theory (HRT) – through the characteristics of High Reliability Organisations (HROs) – can be applied in the particular organisational context of an important economic sector like banking. Third, the authors want to inquire into how Information Systems for Crisis Response and Management can benefit from experiences gained in a mainstream context. More specifically, the use of the Information Technology Infrastructure Library (ITIL) methodology will be explored from the perspective of Incident Management as a sub-process of ICT management.
Address Vlekho Business School, Belgium; Tilburg University, Netherlands
Corporate Author Thesis
Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9076971099 Medium
Track KNOWLEDGE MANAGEMENT Expedition Conference 2nd International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 228
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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 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 (up)
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 Marie Bartels
Title Communicating probability: A challenge for decision support systems Type Conference Article
Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014
Volume Issue Pages 260-264
Keywords Artificial intelligence; Critical infrastructures; Decision making; Information systems; Public works; Crisis communications; Crisis management; Decision-making under uncertainty; Inter-organizational; Interorganizational cooperation; Making decision; Decision support systems
Abstract This paper presents observations made in the course of two interorganizational crisis management exercises that were conducted in order to identify requirements for a decision support system for critical infrastructure operators. It brings into focus how different actors deal with the uncertainty of information that is relevant for other stakeholders and therefore is to be shared with them. It was analyzed how the participants articulated und comprehended assessments on how probable the reliability of a given data or prognosis was. The recipients of the information had to consider it when making decisions concerning their own network. Therefore they had to evaluate its reliability. Different strategies emerged.
Address Technische Universität Berlin, Germany
Corporate Author Thesis
Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780692211946 Medium
Track Decision Support Systems Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 289
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Author Anne Marie Barthe; Sébastien Truptil; Frédérick Bénaben
Title Agility of crisis response: Gathering and analyzing data through an event-driven platform Type Conference Article
Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014
Volume Issue Pages 250-254
Keywords Artificial intelligence; Decision support systems; Agility; Collaborative process; Complex event processing; Crisis response; Crisis situations; Event-driven architectures; Information concerning; Nuclear accidents; Information systems
Abstract The goal of this article is to introduce a platform (called Agility Service) that gathers and analyses data coming from both crisis response and crisis field by using the principles of Complex Event Processing. As a crisis situation is an unstable phenomenon (by nature or by effect of the applied response), the crisis response may be irrelevant after a while: lack of resources, arrival of a new stakeholder, unreached objectives, over-crisis, etc. Gathering data, analyze and aggregate it to deduce relevant information concerning the current crisis situation, and making this information available to the crisis cell to support decision making: these are the purposes of the described platform. A use case based on the Fukushima's nuclear accident is developed to illustrate the use of the developed prototype.
Address University of Toulouse – Mines Albi, France
Corporate Author Thesis
Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780692211946 Medium
Track Decision Support Systems Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 291
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Author Cornelia Caragea; Nathan McNeese; Anuj Jaiswal; Greg Traylor; Hyun-Woo Kim; Prasenjit Mitra; Dinghao Wu; Andrea H. Tapia; Lee Giles; Bernard J. Jansen; John Yen
Title Classifying text messages for the haiti earthquake Type Conference Article
Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011
Volume Issue Pages
Keywords Abstracting; Artificial intelligence; Disaster prevention; Information systems; Learning systems; Text processing; Disaster relief; Emergency response; Emergency situation; Haiti earthquakes; Information technology infrastructure; Nongovernmental organizations; Relief workers; Self-organizing behavior; Earthquakes
Abstract In case of emergencies (e.g., earthquakes, flooding), rapid responses are needed in order to address victims' requests for help. Social media used around crises involves self-organizing behavior that can produce accurate results, often in advance of official communications. This allows affected population to send tweets or text messages, and hence, make them heard. The ability to classify tweets and text messages automatically, together with the ability to deliver the relevant information to the appropriate personnel are essential for enabling the personnel to timely and efficiently work to address the most urgent needs, and to understand the emergency situation better. In this study, we developed a reusable information technology infrastructure, called Enhanced Messaging for the Emergency Response Sector (EMERSE), which classifies and aggregates tweets and text messages about the Haiti disaster relief so that non-governmental organizations, relief workers, people in Haiti, and their friends and families can easily access them.
Address College of Information Sciences and Technology, Pennsylvania State University, University Park, PA-16801, United States
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789724922478 Medium
Track Analytical Information Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 371
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Author Emma Carter; Simon French
Title Nuclear emergency management in Europe: A review of approaches to decision making Type Conference Article
Year 2005 Publication Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2005
Volume Issue Pages 247-259
Keywords Artificial intelligence; Civil defense; Communication; Decision support systems; Disasters; Information systems; Process engineering; Risk management; Emergency management; Inter-organizational network; Nuclear emergencies; Organizational structures; Process model; Process modelling; Decision making
Abstract The need for transparent and consistent decision making in nuclear emergency management across local, regional, national and international levels is well recognised. Several decision support systems have been developed to help achieve this; but, by and large, with little consultation with potential DMs and with limited understanding of the emergency management procedures across Europe and how they differ. This work, part of a European Fifth Framework project EVATECH, considers the application of process modelling to document and compare the emergency management process in four countries. We have observed that the four process models are substantially different in their organizational structure and identified differences in where decisions are made, the management of advice and the communication network style. This papers focus is on the results of the comparison and the implications for the design and use of decision support systems.
Address Manchester Business School, United Kingdom
Corporate Author Thesis
Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9076971099 Medium
Track NUCLEAR EMERGENCY MANAGEMENT Expedition Conference 2nd International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 379
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Author Josey Chacko; Loren P Rees; Christopher W. Zobel
Title Improving resource allocation for disaster operations management in a multi-hazard context Type Conference Article
Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014
Volume Issue Pages 85-89
Keywords Artificial intelligence; Decision support systems; Disasters; Information systems; Resource allocation; Community sustainability; Disaster response; Literature reviews; Long term planning; Multi-hazard events; Operations management; Resource allocation model; Working papers; Hazards
Abstract The initial impact of a disaster can lead to a variety of associated hazards. By taking a multi-hazard viewpoint with respect to disaster response and recovery, there is an opportunity to allocate limited resources more effectively, particularly in the context of long-term planning for community sustainability. This working paper introduces an approach for extending quantitative resource allocation models to consider multiple interrelated hazards. The discussion is motivated by a literature review of existing models and then focuses on changes necessary to take the multiplicity of hazards into consideration in the context of decision support systems for disaster operations management.
Address Virginia Tech, United States
Corporate Author Thesis
Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780692211946 Medium
Track Analytic Modeling and Simulation Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 382
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Author Madhavi M. Chakrabarty; David Mendonça
Title Design considerations for information systems to support critical infrastructure management Type Conference Article
Year 2005 Publication Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2005
Volume Issue Pages 13-18
Keywords Artificial intelligence; Critical infrastructures; Decision support systems; Design; Public works; Software engineering; Cognitive science; Critical infrastructure systems; Design considerations; Infrastructure managements; Interdependent critical infrastructure systems; New York; Usa; Organizational dimensions; Software analysis; Information systems
Abstract This paper develops a set of design considerations for information systems to support the management of interdependent critical infrastructure systems. Constraints on how these systems are managed are oriented along technical, political and organizational dimensions, though objectives along these dimensions may conflict and thus be difficult to satisfy. This paper harnesses methodologies from software engineering and cognitive science in order to specify opportunities for using information systems to support human-centered management of critical infrastructure systems. The particular focus of this work is on developing information systems to support visualization and visual problem solving. Progress to date is discussed in terms of an ongoing research project which uses as a test-bed data associated with lower Manhattan (New York, USA).
Address New Jersey Institute of Technology, United States
Corporate Author Thesis
Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9076971099 Medium
Track INFORMATION SYSTEMS DESIGN Expedition Conference 2nd International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 383
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Author Albert Y. Chen; Feniosky Peña-Mora; Saumil J. Mehta; Stuart Foltz; Albert P. Plans; Brian R. Brauer; Scott Nacheman
Title A GIS approach to equipment allocation for structural stabilization and civilian rescue Type Conference Article
Year 2010 Publication ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings Abbreviated Journal ISCRAM 2010
Volume Issue Pages
Keywords Artificial intelligence; Decision support systems; Disaster prevention; Disasters; Geographic information systems; Information systems; Lifesaving equipment; Radio frequency identification (RFID); Equipment allocation; Illinois fire service institutes; Resource repositories; Situational awareness; Structural condition; Structural stabilization; Urban search and rescue; Urban search and rescue operations; Emergency services
Abstract Efficient request and deployment of critical resources for urban search and rescue operations is vital to emergency response. This paper presents a RFID (Radio Frequency Identification) supported system for on-site data collection to communicate structural condition, to track search and rescue status, and to request and allocate appropriate resources. The system provides a unified interface for efficient posing, gathering, storing and sharing of building assessment information. Visualization and easy access of such information enables rescuers to response to the disaster with better situational awareness. Resource requests are sent to the GIS resource repository service that enables a visual disaster management environment for resource allocation. Request and deployment of critical resources through this system enables lifesaving efforts, with the appropriate equipment, operator, and materials, become more efficient and effective. System development at the Illinois Fire Service Institute has shown promising results.
Address University of Illinois, Urbana-Champaign, United States; Columbia University, United States; Construction Engineering Research Lab, United States; Universitat of Politècnica, Catalunya, Spain; Illinois Fire Service Institute, United States; Thornton Tomasetti, United States
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Seattle, WA Editor S. French, B. Tomaszewski, C. Zobel
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN Medium
Track Open Track Expedition Conference 7th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 388
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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 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 (up)
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 Graham Coates; Glenn I. Hawe; Duncan T. Wilson; Roger S. Crouch
Title Adaptive co-ordinated emergency response to rapidly evolving large-scale unprecedented events (REScUE) Type Conference Article
Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011
Volume Issue Pages
Keywords Artificial intelligence; Decision support systems; Information systems; Adaptive search method; Agent based simulation; Co-ordination; Decision supports; Emergency response; Geographical locations; Integrated frameworks; Team composition and task allocations; Emergency services
Abstract This paper presents an overview of ongoing research into the development of an integrated framework aimed at adaptive co-ordination of emergency response to dynamic, fast evolving and novel events on a large-scale. The framework consists of (i) a decision support system, supported by rapid adaptive search methods, to enable the real time development of tailored response plans including emergency responder team composition and task allocation to these teams, and (ii) an agent-based simulation of emergency response to large-scale events occurring in real geographical locations. The aim of this research is to contribute to understanding how better agent-based simulation coupled with decision support can be used to enable the effective co-ordination of emergency response, involving the collective efforts and actions of multiple agencies (ambulance services, fire brigades, police forces and emergency planning units), to rapidly evolving large-scale unprecedented events.
Address Durham University, United Kingdom
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789724922478 Medium
Track Intelligent Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 402
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Author Kelli de Faria Cordeiro; Maria Luiza M Campos; Marcos R. S. Borges
Title Adaptive integration of information supporting decision making: A case on humanitarian logistic Type Conference Article
Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014
Volume Issue Pages 225-229
Keywords Artificial intelligence; Decision support systems; Information systems; Natural language processing systems; Graph database; Heterogeneous information; Humanitarian logistics; Knowledge integration; Linked open datum; Multi-perspective views; Relational data models; Semantic representation; Decision making
Abstract There is an urgent demand for information systems to gather heterogeneous information about needs, donations and warehouse stocks to provide an integrated view for decision making in humanitarian logistics. The dynamic flow of information, due to the unpredicted events, requires adaptive features. The traditional relational data model is not suitable due to its schema rigidity. As an alternative, Graph Data models complemented by semantic representations, like Linked Open Data on the Web, can be used. Based on both, this research proposes an approach for the adaptive integration of information and an associated architecture. An application example is discussed in a real scenario where relief goods are managed through a dynamic and multi-perspective view.
Address Center for Naval Systems Analysis of Brazilian Navy, Federal University of Rio de Janeiro, Brazil; Federal University of Rio de Janeiro, Brazil
Corporate Author Thesis
Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780692211946 Medium
Track Decision Support Systems Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 414
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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 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 (up)
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 Mauro Falasca; Christopher W. Zobel; Deborah Cook
Title A decision support framework to assess supply chain resilience Type Conference Article
Year 2008 Publication Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2008
Volume Issue Pages 596-605
Keywords Artificial intelligence; Decision support systems; Disasters; Information systems; Inventory control; Decision framework; Decision support framework; Quantitative approach; Resilience; Simulation; Supply chain design; Supply chain resiliences; Supply chain systems; Supply chains
Abstract Our research is aimed at developing a quantitative approach for assessing supply chain resilience to disasters, a topic that has been discussed primarily in a qualitative manner in the literature. For this purpose, we propose a simulation-based framework that incorporates concepts of resilience into the process of supply chain design. In this context, resilience is defined as the ability of a supply chain system to reduce the probabilities of disruptions, to reduce the consequences of those disruptions, and to reduce the time to recover normal performance. The decision framework incorporates three determinants of supply chain resilience (density, complexity, and node criticality) and discusses their relationship to the occurrence of disruptions, to the impacts of those disruptions on the performance of a supply chain system and to the time needed for recovery. Different preliminary strategies for evaluating supply chain resilience to disasters are identified, and directions for future research are discussed.
Address Dept. of Business Information Technology, R.B. Pamplin College of Business, Virginia Polytechnic Institute and State University, Blacksburg VA, 24061, United States
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Washington, DC Editor F. Fiedrich, B. Van de Walle
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780615206974 Medium
Track Impact of Disasters on Industry and Economic Effects Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 481
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Author Duco N. Ferro; Jeroen M. Valk; Alfons H. Salden
Title A robust coalition formation framework for mobile surveillance incident management Type Conference Article
Year 2007 Publication Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 479-488
Keywords Artificial intelligence; Decision support systems; Knowledge management; Robustness (control systems); Security systems; Coalition formations; Coordination; Incident Management; Mobile surveillance; Reconfiguration; Scale-space; Network security
Abstract Given unexpected incidents on routes of guards that check security objects, like banks, one of the most challenging problems is still how to support improvisation by security personnel in taking decisions to prevent or resolve such incidents. Another as important associated problem is how a security company can naturally take advantage of its existing and novel knowledge about its organizational and ICT infrastructures, and the introduction of a decision support system to help leverage of improvisation by humans. To tackle all this, on the one hand we present a dynamic coalition formation framework that allows the (re)configurations of agents that are associated with joint tasks in situational contexts to be evaluated by appropriate value functions. On the other hand, we present a dynamic scale-space paradigm that allows a security company to distill ranked lists of robust context-dependent reconfigurations at critical scales. We highlight the merits of ASK-ASSIST as a solution to the problem of supporting human improvisation.
Address Almende B. V., Netherlands
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track IMPR Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 489
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Author Gary M. Fetter; Mauro Falasca
Title Establishing the need for decision support in disaster debris disposal Type Conference Article
Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011
Volume Issue Pages
Keywords Artificial intelligence; Civil defense; Debris; Decision support systems; Disaster prevention; Disasters; Knowledge based systems; Risk management; User interfaces; Waste disposal; Atlantic hurricane; Decision support system frameworks; Decision supports; Disaster preparedness; Disaster recovery; Emergency management; Nature of disasters; Work-in-progress; Information management
Abstract One of the most important and costly aspects of recovery operations is debris collection and disposal. The unique nature of disaster debris and the extreme amounts generated as a result of the disaster event create challenges for decision makers that are not typically encountered during every day solid-waste disposal operations. This work-in-progress research is aimed at identifying the unique aspects of disaster debris disposal and the need for decision support, which addresses these unique aspects, to assist emergency management coordinators with allocating resources during on-going debris cleanup operations. We will present a decision support system framework, discuss aspects of the knowledge base, model base, and user interface, and show how an emergency management coordinator might use the system during ongoing daily operations using real-world data from a 2003 Atlantic hurricane.
Address Global Management and Strategy Department, Western Carolina University, United States; Department of Marketing and Supply Chain Management, East Carolina University, United States
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789724922478 Medium
Track Analytical Information Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 490
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