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Author (up) Anne Marie Barthe; Sébastien Truptil; Frédérick Bénaben pdf  isbn
openurl 
  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  
  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 (up) Adam Widera; Hanns-Alexander Dietrich; Bernd Hellingrath; Jörg Becker pdf  isbn
openurl 
  Title Understanding humanitarian supply chains – Developing an integrated process analysis toolkit 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 210-219  
  Keywords Decision support systems; Information systems; Supply chain management; Decision support tools; Humanitarian logistics; Logistics process; Performance measurements; Process analysis; Reference modeling; Response performance; Technological components; Societies and institutions  
  Abstract In this paper we present the development of an integrated process analysis toolkit for humanitarian logistics. The toolkit integrates a conceptual and a technological component. Our approach follows a case study-based modeling and design approach. The developed concept was evaluated in two humanitarian organizations. Based on these results we extended and integrated the tool-supported process analysis approach, which is ready to use for the structural and quantitative analysis of humanitarian logistics processes. The toolkit can be applied in humanitarian organizations as a decision support tool for designing, planning and executing their logistics processes. Thus, the application affects the preparedness of humanitarian organizations as well as their response performance. The process analysis toolkit is embedded in an overall research agenda with the objective to provide humanitarian organizations with the capabilities to identify, monitor, and improve their logistics processes respecting the organization specific objectives.  
  Address University of Muenster, 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 1089  
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Author (up) Adriaan ter Mors; Jeroen M. Valk; Cees Witteveen pdf  isbn
openurl 
  Title An event-based task framework for disaster planning and decision support 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 151-153  
  Keywords Decision support systems; Disaster prevention; Disasters; Information systems; Decision supports; Disaster plan; Disaster planning; Emergency response; Events; Mathematical frameworks; Support systems; Task framework; Emergency services  
  Abstract Because of the apparent ineffectiveness of current disaster plans, we focus our research on modeling emergency response activities. If we can capture the crucial concepts of emergency response in a mathematical framework and apply this framework to construct disaster plans, then we pave the way for the development of automated decisions support systems for emergency response.  
  Address Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, 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  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9076971099 Medium  
  Track POSTER SESSION Expedition Conference 2nd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 787  
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Author (up) Ahmed Nagy; Lusine Mkrtchyan; Klaas Van Der Meer pdf  isbn
openurl 
  Title A CBRN detection framework using fuzzy logic 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 266-271  
  Keywords Data mining; Decision support systems; Disaster prevention; Fuzzy set theory; Information systems; Decision supports; Degree of credibility; Disaster management; Distributed approaches; Evaluation approach; Human activities; Ordered weighted aggregations; Potential values; Fuzzy logic  
  Abstract Identifying a chemical, biological, radiological, and nuclear incident (CBRN) is a challenge. Evidence and health symptoms resulting from CBRN malevolent incident overlap with other normal non malevolent human activities. However, proper fusion of symptoms and evidence can aid in drawing conclusions with a certain degree of credibility about the existence of an incident. There are two types of incidents directly observable, overt, or indirectly observable, covert, which can be detected from the symptoms and consequences. This paper describes a framework for identifying a CBRN incident from available evidence using a fuzzy belief degree distributed approach. We present two approaches for evidence fusion and aggregation; the first, two level cumulative belief degree (CBD) while the second is ordered weighted aggregation of belief degrees (OWA). The evaluation approach undertaken shows the potential value of the two techniques.  
  Address SCK/CEN, Belgium  
  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 804  
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Author (up) Albert Y. Chen; Feniosky Peña-Mora; Saumil J. Mehta; Stuart Foltz; Albert P. Plans; Brian R. Brauer; Scott Nacheman pdf  openurl
  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  
  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 (up) Alexander Almer; Thomas Schnabel; Johann Raggam; Armin Köfler; Roland Wack; Richard Feischl pdf  isbn
openurl 
  Title Airborne multi-sensor management support system for emergency teams in natural disasters Type Conference Article
  Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015  
  Volume Issue Pages  
  Keywords airborne sensing; Decision Support; Multi sensor imaging; natural disaster management; near real-time geo-processing  
  Abstract This paper describes the development of a multi-functional airborne management support system within the frame of the Austrian national safety and security research programme. The objective was to assist crisis management tasks of emergency teams and armed forces in disaster management by providing multi spectral, near real-time airborne image data products. As time, flexibility and reliability as well as objective information are crucial aspects in emergency management, the used components are tailored to meet these requirements. This article includes the individual system components as well as their performance using examples from lab tests and real-life deployments. Based on this, the impact of existing command and control processes as well as the benefits for time critical decision making processes are described based on expertise of the involved end users. In addition, it gives an outlook on future perspectives.  
  Address  
  Corporate Author Thesis  
  Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9788271177881 Medium  
  Track Geospatial Data and Geographical Information Science Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved yes  
  Call Number Serial 1213  
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Author (up) Alexander Gabriel; Simon Schleiner; Florian Brauner; Florian Steyer; Verena Gellenbeck; Ompe Aimé Mudimu pdf  openurl
  Title Process modelling of physical and cyber terrorist attacks on networks of public transportation infrastructure Type Conference Article
  Year 2017 Publication Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2017  
  Volume Issue Pages 390-399  
  Keywords Cyber-attack; (counter-)terrorism; process modelling; decision support; critical infrastructure  
  Abstract Recent events have demonstrated the vulnerability of IT-systems of different companies, organisations or even governments to hacker attacks. Simultaneously, information technologies have become increasingly established and important for institutions of various branches. With respect to modern terrorism developments, cyber-attacks may be used to physically harm critical infrastructures. This leads to a new dimension of cyber-attacks called “terrorist cyber-attacks”. This research-in-progress paper aims to develop a process model for data acquisition and support of decision making that seeks to enhance the security of public transportation in the context of counterterrorism. Therefore, a generic process model for terrorist cyber-attacks – produced in the research project RE(H)STRAIN1 – is intro-duced as a basis for a decision support system (DSS). In the future, such models could improve the decision process by comparing the effectiveness of different security measures.  
  Address TH Koeln – University of Applied Sciences; University of Wuppertal  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN Medium  
  Track Protection Models For Complex Critical Infrastructures Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management  
  Notes Approved no  
  Call Number Serial 2028  
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Author (up) Alexander Smirnov; Mikhail Pashkin; Nikolay Shilov; Tatiana Levashova pdf  isbn
openurl 
  Title Intelligent support of context-based megadisaster management: Hybrid technology and case study 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 305-316  
  Keywords Decision support systems; Hurricanes; Constraint Satisfaction; Context management; Decision supports; Humanitarian logistics; Hybrid technology; Intelligent decision making; Intelligent support; Ontology management; Decision making  
  Abstract The situation with the hurricane Katrina showed that the conventional tiered response to disaster event, whereby state and local officials are responsible for the first few days, does not work well in case of megadisasters (massive hurricanes, earthquakes, large-scale acts of terrorism, etc.). Such situations require application of new technologies for preparing the operation, interoperability between the operation participants, and decision support for officials. Here presented approach proposes a context-driven decision support schema based on integration of such technologies as context & ontology management and constraint satisfaction. The application of the approach is illustrated via a case study of a portable hospital arrangement.  
  Address St.Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russian Federation  
  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  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium  
  Track ASCM Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 958  
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Author (up) Alexander Smirnov; Nikolay Shilov; Tatiana Levashova; Alexey Kashevnik pdf  isbn
openurl 
  Title Web-service network for disaster management 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 516-525  
  Keywords Decision support systems; Disaster prevention; Disasters; Information systems; Problem solving; Constraint Satisfaction; Context; Disaster response; Operational decision support; Self-organising; Web services  
  Abstract The paper addresses the issue of context-aware operational decision support in emergency situations. A decision support system (DSS) developed for this purpose is implemented as a network of a set of Web-services. The Web-services try to organise a service network according to context. Here the context is proposed to be modelled as a “problem model”. It specifies problems to be solved in a particular kind of emergency situation. Context is produced based on the knowledge extracted from the application domain (application ontology) and formalised by a set of constraints. The purpose of the service network is provision the DSS with contextualised information from diverse information sources and solving problems specified in the context. In the framework of context-aware operational decision support, composition of the application ontology for the disaster management domain from the Semantic Web Ontologies is discussed and a hybrid technology of context-aware operational decision support is presented. The technology is based on ontology management, context management, constraint satisfaction, and Web Services. Application of the ideas above is illustrated by an example of a decision support system for real-time resource coordination and situation awareness for logistics management in fire response operations.  
  Address St.Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russian Federation  
  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  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780615206974 Medium  
  Track Intelligent Systems for Crisis and Disaster Management Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 959  
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Author (up) Alexander Smirnov; Tatiana Levashova; Nikolay Shilov pdf  isbn
openurl 
  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 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 (up) Alexandre Ahmad; Olivier Balet; Jesse Himmelstein; Arjen Boin; Maaike Schaap; Paolo Brivio; Fabio Ganovelli; Enrico Gobbetti; Giovanni Pintore; Jean-Baptiste De La Riviere pdf  isbn
openurl 
  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  
  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 (up) Ali Benssam; Nadia Nouali-Taboudjemat; Omar Nouali pdf  isbn
openurl 
  Title Towards an It-based platform for disaster risks management in Algeria 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 72-77  
  Keywords Decision support systems; Disaster prevention; Information analysis; Information systems; Public risks; Collaboration; Collaborative framework; Decision supports; Disaster management; Disaster situations; Information sharing; Public awareness; Risk prevention; Disasters  
  Abstract Disaster management and risk prevention in Algeria have undergone many changes in the recent years. Important efforts have been provided on the legal and organizational sides to set the right conditions for an integrated and collaborative framework for disaster management in the country. The aim is to address the lack of information sharing, coordination and collaboration among the involved organizations. However, although the enhancement of the organizational arrangements, several problems persist mainly related to the implementation of these measures. To address this issue, in this paper, we propose an IT based platform in the field of risks prevention and disaster management (DM). This platform provides decision support, enables information sharing, helps to enhance public awareness regarding risks and disasters, supports communication and dissemination of information and alerts in disaster situations and facilitates the implementation of regulation related to disaster management.  
  Address High School of Computer Science ESI, Algiers, Algeria; Research Center of Scientific and Technical Information CERIST, Algiers, Algeria  
  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 Coordination and Collaboration Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 306  
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Author (up) Ali Khalili-Araghi; Uwe Glässer; Hamed Yaghoubi Shahir; Brian Fisher; Piper Jackson pdf  isbn
openurl 
  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  
  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 (up) Alicia Cabañas Ibañez; Dirk Schwanenberg; Luis Garrote De Marcos; Miguel Francés Mahamud; Javier Arbaizar González pdf  isbn
openurl 
  Title An example of Flood Forecasting and Decision-Support System for water management in Spain 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; Computer simulation; Decision support systems; Flood control; Hydraulic tools; Information systems; Reservoir management; Water management; Data-sources; Early warning; Early Warning System; Flood forecasting; Flood management; Open-shell; Floods  
  Abstract The paper provides an overview of past, present and future development in the program to implement a Flood Forecasting and Decision-Support System (DSS) for the SAIH network in some Spanish basins. These tools represent a significant advance by embedding the decision-making components for management of hydraulic infrastructure into the flood forecasting and flood early warning procedures. The DSS has been implemented based on an open-shell platform for integrating various data sources and different simulation models. So far, it covers the Segura, Jucar, Tajo, Duero and Miño-Sil basins, which represent 42% of Spanish territory. Special attention is paid to the decision-support for the operation of the 66 major reservoirs as a fundamental part of flood management.  
  Address KV Consultores, Madrid, Spain; Deltares, Operational Water Management, Delft, Netherlands; Universidad Politécnica de Madrid, Spain; Dirección General Del Agua, Spain  
  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  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Early Warning and Alert Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 609  
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Author (up) André Simões; Armanda Rodrigues; Patricia Pires; Luis Sá pdf  isbn
openurl 
  Title Evaluating emergency scenarios using historic data: Flood management 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; Cellular automata; Computer simulation; Decision support systems; Flood control; Floods; Geographic information systems; Information systems; Risk management; Civil protection; Complex evaluations; Development process; Emergency management; Emergency scenario; Flood forecasting models; Flood management; Physical conditions; Risk perception  
  Abstract The evaluation of an emergency scenario is often based on the use of simulation models. The specificity of these models involves the need for a complex evaluation of the problem domain, including the physical conditions behind the considered threat. Based on emergency occurrences data, provided by the Portuguese National Civil Protection Authority, we are currently developing a methodology for evaluating a real situation, based on past occurrences. The aim is to develop a platform that will enable the evaluation of a risk scenario based on existing civil protection data. The methodology under development should enable the evaluation of different scenarios based on the collected available data. This will be achieved thanks to the facilitated configuration of several aspects, such as the geographical region and relevant properties of the considered threat. In this paper, we describe the methodology development process and the current state of the platform for risk evaluation.  
  Address CITI, FCT/UNL, Portugal; Autoridade Nacional de Protecção Civil, Portugal  
  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  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Geographic Information Science Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 952  
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Author (up) Andrea Zielinski; Stuart E. Middleton; Laurissa N. Tokarchuk; Xinyue Wang pdf  isbn
openurl 
  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 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 (up) Anna Gustafsson; Tobias Andersson Granberg pdf  isbn
openurl 
  Title Dynamic planning of fire and rescue services 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 Information systems; Decision support tools; Dispatch; Dynamic planning; Emergency response; Preparedness; Decision support systems  
  Abstract We discuss decision support tools used for more efficient planning of fire and rescue services. The methodology considers small and flexible units and includes dynamic utilization of the existing resources. We develop a quantitative measure for preparedness and use it as a basis for decision support. By constantly accounting for the current situation and using intelligent strategies to locate and allocate resources that support good preparedness, response times can be shortened. The tools will be tested using an experimental setup that includes human-in-the-loop simulations, and the results will compare situations that occur when the decision makers have and do not have access to the developed tools. © 2012 ISCRAM.  
  Address Div. Communication and Transport Systems, ITN, Linköping University, Sweden  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Analytical Modelling and Simulation Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 122  
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Author (up) Anne-Francoise Rutkowski; Willem Van Groenendaal; Bartel A. Van De Walle; Jan Pol pdf  isbn
openurl 
  Title Decision support technology to support risk analysis and disaster recovery plan formulation: Towards IT and business continuity 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 127-132  
  Keywords Decision support systems; Disasters; Groupware; Information management; Information systems; Mobile telecommunication systems; Risk analysis; Business continuity; Business continuity plans; Disaster recovery plan; Economic decision model; Group support systems; Multi-national companies; Quantitative classifications; Recovery planning; Recovery  
  Abstract The paper presents a four-phase action research project that was (and still is) conducted at the department of Information Management Customer Support and Operations (IM\CS&O) of a large multi-national company. The department is in charge of ICT-service continuity and has to produce ICT recovery plans that are integrated with the organization's overall Business Continuity plan. Interviews, Group Support System (GSS) technologies as well as a risk survey have been used to gather information and identify risks and threats. A systematic quantitative classification, measuring the impact of loss of ICT services on the company's business processes in terms of cost and risk will allow in the near future to utilize an economic decision model to prioritize the core activities of training and implementation of a recovery disaster plan. The research has made clear to the involved protagonists the necessity to share information, to develop awareness, and to formulate a shared recovery disaster plan to ensure ICT/business continuity and/or recovery when ICT disruptions occurs. © Proceedings ISCRAM 2004.  
  Address Department of Information Systems and Management, Tilburg University, Tilburg, Netherlands; Philips Medical Systems, Best, 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  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9076971080 Medium  
  Track Emergency Response Stakeholders and Cooperation Expedition Conference 1st International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 197  
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Author (up) Audrey Fertier; Aurélie Montarnal; Anne-Marie Barthe-Delanoë; Sébastien Truptil; Frédérick Bénaben pdf  isbn
openurl 
  Title Adoption of Big Data in Crisis Management Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Crisis Management; Big Data; Decision Support; Agility  
  Abstract Most agree that the innate complexity and uncertainty of a crisis compel the stakeholders to coordinate in a hurry, despite their heterogeneity or the volume of data to process. Supporting their coordination is now possible, thanks to a mediation system combined with big data management tools. The GéNéPi1 project explores this possibility and proposes to improve the generation of collaborative processes offered by the MISE2?s solution. The idea is to increase the number of usable data sources. To do that, in a fixed time-frame, the situation models have to be instantly generated upon sets of raw data. This new methodology holds the key to a new big data era: an age where global understanding reigns.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3395 ISBN 978-84-608-7984-16 Medium  
  Track Intelligent Decision Support in the Networked Society Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1334  
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Author (up) Audun Stolpe; Jo Hannay pdf  openurl
  Title On the Adaptive Delegation and Sequencing of Actions Type Conference Article
  Year 2021 Publication ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2021  
  Volume Issue Pages 28-39  
  Keywords Decision support, AI Planning, Delegation, Sequencing, Adaptivity, Cognitive processes  
  Abstract Information systems support to crisis response and management relies crucially on presenting actionable information in a manner that supports cognitive processes, and does not overwhelm them. We outline how AI Planning can be used viably to support the \emph{delegation and sequencing} of tasks. The idea is to use standard operating procedures as initial specifications of plans in terms of actors, actions and delegation rules. When expressed in the AI planning language \textit{Answer set Programming} (ASP), machine reasoning can be used in a \textit{pre-incident review} to display relevant delegation and sequencing inherent in a plan. % together with measures of goal achievement. The purpose of this is to uncover weaknesses in the initial plan and to optimize sequencing and delegation to increase the likelihood of achieving goals. Further, adaptive planning can be supported in \textit{during-incident reviews} by updating the current status, upon which ASP will then compute new alternatives. % and corresponding goal achievement measures. At this point, initial goals may no longer be viable and the explicit suggestion of prior sub-optimal goals now worth pursuing can be a game-changer under stress. The conceptual basis we lay out in terms of delegation and sequencing can be readily extended with further planning factors, such as resource requirements, role transfer and goal achievement.  
  Address Norwegian Computing Center; Norwegian Computing Center  
  Corporate Author Thesis  
  Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 978-1-949373-61-5 ISBN Medium  
  Track AI and Intelligent Systems for Crises and Risks Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management  
  Notes audun.stolpe@its.uio.no Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2310  
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Author (up) Axel Bürkle; Florian Segor; Sven Müller; Igor Tchouchenkov; Matthias Kollmann pdf  isbn
openurl 
  Title Advantages of an integrated open framework for immediate emergency response Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Coordination reactions; Decision support systems; Information dissemination; Information systems; Sensor networks; Signal encoding; Smartphones; Unmanned vehicles; Communication infrastructure; Decision supports; Emergency response; Ground control stations; Integrated solutions; Open system architecture; Simultaneous use; Universal control; Emergency services  
  Abstract Recent disasters have shown that wireless sensors and unmanned systems are increasingly becoming a valuable aid for first responders. Depending on the kind of incident and its extent, different assets are to be used. The more diverse these assets are, the more complex their simultaneous use and coordination. Therefore, integrated solutions are needed which comprise all necessary components such as power supply, communication infrastructure, data acquisition and processing, decision support and information dissemination. In this paper, an architecture for an open framework is proposed and its advantages over dedicated solutions are discussed. The flexibility of the universal control station presented here is demonstrated using the example of integrating a smartphone as an additional mobile sensor. © 2012 ISCRAM.  
  Address Fraunhofer IOSB, Karlsruhe, Germany  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Wireless Sensor Networks for Emergency Response Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 77  
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Author (up) B.J. Vreugdenhil; N. Bellomo; P.S. Townsend pdf  isbn
openurl 
  Title Using Crowd Modelling in Evacuation Decision Making Type Conference Article
  Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015  
  Volume Issue Pages  
  Keywords crowd modelling; decision making; Decision Support; Evacuation  
  Abstract Public spaces are created to be used, and large crowds gather in many buildings and external spaces. Maintaining a high level of safety for these people is of utmost importance. Cameras are used for security reasons by control room personnel, who also monitor crowd movements in case of emergency. Crowd modelling can be used to detect and analyse time dependent and space dependent crowd behaviour. Despite the large amount of raw visual information being processed, crowd modelling has not been dedicated yet to evacuation decision making. Predictive information can assist the decision maker in assessing the situation in the early stages, potentially preventing the need for an evacuation. If evacuation is inescapable, a decision maker can use crowd modelling to define the quickest and safest evacuation routes. This kind of decision support will reduce the number of deaths that occur before and during an evacuation.  
  Address  
  Corporate Author Thesis  
  Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9788271177881 Medium  
  Track Decision Support Systems Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved yes  
  Call Number Serial 1288  
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Author (up) Benaben, F.; Fertier, A.; Cerabona, T.; Moradkhani, N.; Lauras, M.; Montreuil, B. pdf  doi
openurl 
  Title Decision Support in uncertain contexts: Physics of Decision and Virtual Reality Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 54-66  
  Keywords Data Visualization; Virtual Reality; Immersive Technology; Decision Support; Risk; Opportunities; Performance Management.  
  Abstract Virtual Reality (VR) is often used for its ability to mimic reality. However, VR can also be used for its ability to escape reality. In that case, on the one hand VR provides a visualization environment where the user’s senses are still in a familiar context (one can see if something is in front, behind, up, down, far or close), yet on the other hand, VR allows to escape the usual limits of reality by providing a way to turn abstract concepts into concrete and interactive objects. In this paper, the dynamic management of a complex industrial system (a supply chain) is enabled in a VR prototypical environment, through the management of a physical trajectory that can be deflected by the impact of any potentialities such as risks or opportunities, seen as physical objects in the performance space.  
  Address IMT Mines Albi; IMT Mines Albi; IMT Mines Albi; IMT Mines Albi; IMT Mines Albi; Georgia Institute of Technology  
  Corporate Author Thesis  
  Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi  
  Language English Summary Language Original Title  
  Series Editor Hosssein Baharmand Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition 1  
  ISSN ISBN Medium  
  Track Visions for Future Crisis Management Expedition Conference  
  Notes http://dx.doi.org/10.59297/DENR9785 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2506  
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Author (up) Benny Carlé; Fernand Vermeersch; Carlos Rojas Palma pdf  isbn
openurl 
  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  
  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 (up) Camelia Bellepeau; Hugo Bergere; Corentin Thevenet; Frédérick Bénaben; Nafe Moradkhani; Thibaut Cerabona pdf  isbn
openurl 
  Title Use of Physics of Decision to Assess how COVID-19 Impacted Air Pollution Type Conference Article
  Year 2022 Publication ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2022  
  Volume Issue Pages 887-894  
  Keywords risk; opportunity; physics of decision; COVID-19; air pollution; performance management; decision support  
  Abstract This article focuses on the question of the impact of the COVID-19 crisis on air pollution. The chosen approach is based on the principle of “Physics of Decision” (POD), which considers: (i) the performance of a system as a physical trajectory within the framework of its performance indicators, (ii) risks or opportunities (potentialities) as forces that may deviate that trajectory, and (iii) benefits or damages (actualities) as concrete deviations of the performance trajectory. The daily data about the air pollution in Paris area (France) has been gathered for eight years (2014-2021) and three main performance indicators have been chosen. Then, the performance trajectory of each year has been plotted and the expected trajectories of 2020 and 2021 have been guessed from the previous ones. The deviation between the expected and actual trajectories of 2020 and 2021 have been assessed, and using physics and motion laws, evaluated as a deviation force.  
  Address IMT Mines Albi  
  Corporate Author Thesis  
  Publisher Place of Publication Tarbes, France Editor Rob Grace; Hossein Baharmand  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-82-8427-099-9 Medium  
  Track Visions for Future Crisis Management Expedition Conference  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2463  
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