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Author (up) Anne-Marie Barthe-Delanoë; Wenxin Mu pdf  isbn
openurl 
  Title Towards a Context-Aware Systemic Risk Management Framework for the Crisis Response Type Conference Article
  Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020  
  Volume Issue Pages 1122-1129  
  Keywords Context-Awareness; Risk Analysis; Risk Evaluation; Knowledge Base; Systemic Risk  
  Abstract Crisis response is, as any other collaborative networked organization, challenged by changes and vulnerabilities. Moreover, as a complex system with distributed activities and numerous interdependencies, considering the risk of such an organization at a systemic level, including time and space dimensions, is necessary. Systemic risk management is a topic traditionally studied in the finance area. Even if a few researches now focus on the supply chain management area (a more relatable domain regarding crisis response), there is even fewer literature regarding systemic risk management for the crisis response. Thus, this paper proposes first to define systemic risk related to the case of the crisis response. Then, a framework for context-aware systemic risk management is presented, to support the design as well as the follow-up of the crisis response, meeting one of the challenges of the Sendai Framework for Disaster Risk Reduction.  
  Address Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France; Department of Information Management, Jiao Tong University, Beijing, China  
  Corporate Author Thesis  
  Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 978-1-949373-27-101 ISBN 2411-3487 Medium  
  Track Visions for Future Crisis Management Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management  
  Notes annemarie.barthe@ensiacet.fr Approved no  
  Call Number Serial 2302  
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Author (up) Bernard Van Veelen; Patrick Storms; Chris J. Van Aart pdf  isbn
openurl 
  Title Effective and efficient coordination strategies for agile crisis response organizations Type Conference Article
  Year 2006 Publication Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2006  
  Volume Issue Pages 202-213  
  Keywords Knowledge based systems; Agent-based systems; Autonomous systems; Coordination; Organization and management; Self management; Quality of service  
  Abstract Agile crisis response organizations can be seen as actor-Agent communities, where artificial coordination strategies are applied to manage activities. This paper provides a classification of artificial coordination strategies, specified in terms of the Rasmussen's three-level model for supervisory control: skill, rule and knowledge based. Three distinct strategies to artificial coordination based on Rasmussen's levels are described. These approaches are applied in a small case study related to the problem of medic-casualty allocation in the crisis response domain. In terms of effectiveness and efficiency, the knowledge-level coordination strategies seem to be the most effective, where the skill-level strategies are the most efficient. Concerning flexibility there is a reverse trade-off with efficiency. Opposed to skill-level strategies, knowledge-level strategies easily adjust to changing operational requirements. On all aspects, the performance of rule-level strategies is in-between knowledge-level and skill-level strategies. The results of this work can be used to improve the performance and effectiveness of actor-Agent communities for mission critical applications.  
  Address DECIS Lab, Netherlands  
  Corporate Author Thesis  
  Publisher Royal Flemish Academy of Belgium Place of Publication Newark, NJ Editor B. Van de Walle, M. Turoff  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9090206019; 9789090206011 Medium  
  Track COMMAND AND CONTROL Expedition Conference 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1047  
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Author (up) Fabian Wucholt; Yeliz Yildirim-Krannig; Mareike Mähler; Uwe Krüger; Clemens Beckstein pdf  isbn
openurl 
  Title Cultural analysis and formal standardised language-A mass casualty incident perspective 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 Hardware; Information systems; Knowledge engineering; Ontology; Cultural analysis; Dynamic scenarios; Inter-organisational; IT infrastructures; Mass casualty incidents; Organisational culture; Standardised language; Knowledge based systems  
  Abstract Handling highly dynamic scenarios as they arise in mass casualty incident (MCI) situations requires lots of information about the situation and an extremely flexible IT infrastructure that can assist in managing the inci-dent. Normally, rescue workers from different organisational cultures do not communicate across their organisa-tional boundaries, but in an MCI they have to efficiently collaborate in order to successfully manage the inci-dent. In this paper we argue that qualitative cultural analysis can provide important insights into the design of techno-logical systems that are to be deployed in inter-organisational settings like an MCI. We will show how the engi-neering of complex knowledge based systems for such scenarios can profit from the results of such an analysis.  
  Address Intercultural Business Communication, Friedrich-Schiller-University, Jena, Germany; Institute of Computer Science, AI Working Group, Friedrich-Schiller-University Jena, Germany  
  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 User Centred Design Process for EMIS Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1106  
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Author (up) Fatemeh Hendijani Fard; Cooper Davies; Frank Mauer pdf  openurl
  Title Agile Emergency Responses Using Collaborative Planning HTN 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 857-867  
  Keywords Collaborative emergency response planning; emergency operations center; emergency response knowledge base; decision support systems; hierarchical task network  
  Abstract Emergency response planning is a complex task due to multiple organizations involved, different planning considerations, etc. Using artificial intelligence collaborative planning helps in the automatic planning for complex situations. Analyzing all impacting factors along with plans that are executable can facilitate the decision making in Emergency Operations Centers for an agile emergency response. A main component of a planner is a knowledge base. Although many systems are developed to support decision making in emergency response or recovery, they either focus on specific or small organizations, or rely on simulations. To the best of our knowledge, there is a gap that there is no common knowledge base for provincial level mass emergencies for automatic planners. The multiplicity of the emergency response documents and their structure makes the knowledge acquisition complex. In this paper, we explain the process of extracting knowledge based on hierarchical task networks and how it speeds up the reactivity to a disaster.  
  Address University of Calgary – Calgary AB  
  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 New Technologies for Crisis Management Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management  
  Notes Approved no  
  Call Number Serial 2071  
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Author (up) Gary M. Fetter; Mauro Falasca pdf  isbn
openurl 
  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  
  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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Author (up) Jennifer Lisa Chan; Gabriel Nam; Allison G. Marshall; Hemant Purohit pdf  isbn
openurl 
  Title Trends in Humanitarian Health Information during 2010 Haiti Earthquake: Motivation for Curating Domain Knowledge Base Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages  
  Keywords information management, health information, knowledge bases, curation  
  Abstract Health response plays a major role during disasters and information management plays a crucial role in situational awareness to adapt to evolving needs. Health organizations exchange information often through narrative-based documents called situation reports. Although situation reports are widely shared, they are an increasingly challenging information source from which to infer knowledge for situational awareness. This paper analyzed health information from traditional health reports using mixed methods during the aftermath of the 2010 Haiti Earthquake and provides insights into the patterns of what?s being said, how it?s being said, and trends over time. Opportunities lie ahead to analyze narrative documents at scale by combining human knowledge from qualitative coding with machine intelligence. In addition, developing unifying health domain ontologies representing diverse humanitarian health concepts will advance computational techniques to improve

the efficiency and accuracy of retrieving knowledge for improved situational awareness and potential decision

making during humanitarian health response.
 
  Address Northwestern University, United States of America;University of Pennsylvania,United States of America;Temple University, United States of America;George Mason University, United States of America  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T11- Community Engagement & Healthcare Systems Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1930  
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Author (up) Jürgen Moßgraber; Désirée Hilbring; Hylke van der Schaaf; Philipp Hertweck; Efstratios Kontopoulos; Panagiotis Mitzias; Ioannis Kompatsiaris; Stefanos Vrochidis; Anastasios Karakostas pdf  isbn
openurl 
  Title The sensor to decision chain in crisis management Type Conference Article
  Year 2018 Publication ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2018  
  Volume Issue Pages 754-763  
  Keywords Sensors, Internet of Things, Knowledge Base, Ontology Visualization, Decision Support, Early Warning  
  Abstract In every disaster and crisis, incident time is the enemy, and getting accurate information about the scope, extent, and impact of the disaster is critical to creating and orchestrating an effective disaster response and recovery effort. Decision Support Systems for disaster and crisis situations need to solve the problem of facilitating the broad variety of sensors available today. This includes the research domain of the Internet of Things and data coming from social media. All this data needs to be aggregated and fused, the semantics of the data needs to be understood and the results must be presented to the decision makers in an accessible way. Furthermore, the interaction and integration with risk and crisis management systems are necessary for a better analysis of the situation and faster reaction times. This paper provides an insight into the sensor to decision chain and proposes solutions and technologies for each step.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Universal Design of ICT in Emergency Management Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2148  
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Author (up) Magiswary Dorasamy; Murali Raman pdf  isbn
openurl 
  Title Information systems to support disaster planning and response: Problem diagnosis and research gap analysis 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 Disasters; Information systems; Knowledge acquisition; Knowledge based systems; Action research; Design and implements; Disaster planning; Institutional contexts; Knowledge management system; Knowledge process; Security council; Success; Disaster prevention  
  Abstract There is significant gap in the literature and past research on Knowledge Management Systems (KMS) in the domain of disasters. This PhD research work is an action research to design and implement a web-based knowledge management system that aims to fill this theoretical gap in KMS for disasters and to improve the disaster planning and response efforts within an institutional context. The diagnostic stage results imply that the organisation can benefit from the implementation of an information system to support its disaster planning and response efforts. Current scenario at the State Crisis and Security Council (SCSC) in Malaysia revealed some real challenges pertaining to communication, coordination and knowledge processes between SCSC and its district level officers (DO). The proposition of this research is that a well-defined knowledge management system can successfully support disaster planning and response effort in organizations.  
  Address Multimedia University Malaysia, Malaysia  
  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 Planning and Foresight Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 454  
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Author (up) Magiswary Dorasamy; Murali Raman; Maniam Kaliannan pdf  isbn
openurl 
  Title Evaluating CEMAS in simulated environment to support disaster management challenges 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 444-453  
  Keywords Civil defense; Disaster prevention; Disasters; Knowledge based systems; Planning; Risk management; Disaster management; Emergency management; Emergency management systems; Evaluation results; Information system success; Knowledge management system; Prototype; Simulated environment; Management information systems  
  Abstract Researchers and emergency management system designers constantly find ways to produce suitable systems that have best fit between technology, and tasks. However, there is significant gap in the literature on designing information system that places greater emphasis on situational qualities. We posit that situational qualities are as important as information system success qualities such as system quality, information/knowledge quality and service quality. This research work aimed to fill this theoretical gap in designing IS for disaster management and to contribute towards guiding design decisions for future emergency management information systems development. A prototype system called CEMAS was designed and developed to support current challenges in disaster management. The underlying guiding theory for CEMAS was situational qualities interweaved within information system success factors in the form of knowledge management system. This paper presents the evaluation results of CEMAS in a simulated environment for flood.  
  Address Multimedia University, Malaysia; University of Nottingham, United Kingdom  
  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 Planning, Foresight and Risk Analysis Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 455  
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Author (up) Norman C. Hester; Jim Wilkinson; Stephen Patrick Horton; Theresa I. Jefferson pdf  isbn
openurl 
  Title Integration of information systems for post earthquake research response 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 362-367  
  Keywords Civil defense; Disasters; Knowledge based systems; Risk management; Earthquake research; Emergency management; Knowledge base; Natural disasters; New madrid seismic zones; Research activities; Research communities; Technical information; Earthquakes  
  Abstract Natural disasters occur infrequently, limiting our ability to develop an inclusive knowledge base concerning such events. The ability to study, interpret, and document findings immediately following a damaging seismic event, is a critical step in furthering our understanding of events, allowing for effective awareness, mitigation, response, and recovery efforts. In the central United States, a Post Earthquake Technical Information Clearinghouse (PETIC) Plan has been developed to coordinate research activities, and to facilitate collaboration between the emergency management and research communities. Because a damaging earthquake in the central U.S. will impact several states, a Multi-State Technical Information Clearinghouse (MSTIC) Coordination Plan to link state technical information clearinghouses (STICs) is proposed. This paper describes beginning efforts to define the role and functions of a MSTIC as well as formalize plans with emergency management agencies to facilitate collaboration and coordination between STICs, the MSTIC.  
  Address Association of CUSEC State Geologists, United States; Central United States Earthquake Consortium, United States; Center for Earthquake Research and Information, Univ. of Memphis, United States; Institute for Crisis, Disaster and Risk Management, GWU, 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  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780615206974 Medium  
  Track Improving Collaboration and Training Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 576  
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Author (up) Ola Leifler pdf  isbn
openurl 
  Title Combining technical and human-centered strategies for decision support in command and control: The ComPlan approach 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 504-515  
  Keywords Cognitive systems; Decision support systems; Knowledge based systems; Collaborative command and control; Command and control; Conceptual frameworks; Constraint violation; Critiquing; Decision supports; Mixed-initiative planning; Technical research; Command and control systems  
  Abstract ComPlan (A Combined, Collaborative Command and Control Planning tool) is an approach to providing knowledge-based decision support in the context of command and control. It combines technical research on automated planning tools with human-centered research on mission planning. At its core, ComPlan uses interconnected views of a planning situation to present and manipulate aspects of a scenario. By using domain knowledge flexibly, it presents immediate and directly visible feedback on constraint violations of a plan, facilitates mental simulation of events, and provides support for synchronization of concurrently working mission planners. The conceptual framework of ComPlan is grounded on three main principles from human-centered research on command and control: transparency, graceful regulation, and event-based feedback. As a result, ComPlan provides a model for applying a human-centered perspective on plan authoring tools for command and control, and a demonstration for how to apply that model in an integrated plan-authoring environment.  
  Address Linköpings Universitet, Sweden  
  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 684  
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Author (up) Samuel Otim pdf  isbn
openurl 
  Title A case-based knowledge management system for disaster management: Fundamental concepts Type Conference Article
  Year 2006 Publication Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2006  
  Volume Issue Pages 598-604  
  Keywords Decision support systems; Disaster prevention; Disasters; Knowledge acquisition; Knowledge based systems; Case-base reasonings; Case-based knowledge; Casebased reasonings (CBR); Disaster management; Disaster response; Early Warning System; Fundamental concepts; Knowledge management system; Emergency services  
  Abstract Computer-based knowledge management systems are vital for disaster detection, response planning, and management. These systems aid in early warning, and provide decision support for disaster response and recovery management. Managing past knowledge for reuse can expedite the process of disaster response and recovery management. While early warning systems predict some disasters with remarkable accuracy, there is a paucity of knowledge management systems for disaster response and management. This paper outlines a case-based reasoning (CBR) knowledge management system that in effect, is a model of human reasoning since it is based upon the idea that people frequently rely on previous problem-solving experiences when solving new problems. A CBR knowledge management system results in efficient and effective disaster response and management.  
  Address Department of Management, Clemson University, 101 Sirrine Hall, Clemson SC 29634, United States  
  Corporate Author Thesis  
  Publisher Royal Flemish Academy of Belgium Place of Publication Newark, NJ Editor B. Van de Walle, M. Turoff  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9090206019; 9789090206011 Medium  
  Track EXPLORING KNOWLEDGE MANAGEMENT IN CRISIS RESPONSE Expedition Conference 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 821  
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Author (up) Seyed Hossein Chavoshi; Mahmoud Reza Delavar; Mahdieh Soleimani; Motahareh Chavoshi pdf  isbn
openurl 
  Title Toward developing an expert GIS for damage evaluation after an earthquake (case study: Tehran) 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 734-741  
  Keywords Disasters; Expert systems; Geographic information systems; Information systems; Managers; Damage evaluation; Earthquake disaster; Emergency response; Historical data; Knowledge base; Knowledge-based model; Scientific studies; Strong earthquakes; Earthquakes  
  Abstract In an earthquake disaster, having proper estimation about destructed buildings and the degree of destruction, can considerably facilitate decision-making and planning for disaster managers. Using this information, the managers can estimate disaster area and number of victims to determine and allocate required resources. Scientific studies and historical data show that the faults around Tehran, the capital of Iran, are capable to create strong earthquakes which would bring the largest damages in the world history to the city. So it is necessary to be prepared for a rapid and knowledge-based response to such an earthquake. Therefore, development of a knowledge-based model to estimate destruction of buildings is ongoing. The model is going to be developed by using different spatial data obtained from the buildings and its environment in Tehran. This paper outlines the initial results of this research.  
  Address Dept. of Surveying and Geomatics Eng., College of Engineering, University of Tehran, Teharan, Iran; Technical Institute of Surveying and Mapping, National Geographical Organization of Iran, Iran  
  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 Geographic Information Science Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 386  
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Author (up) Sigmund Kluckner; Johannes Sautter; Matthias Max; Wolf Engelbach; Tina Weber pdf  isbn
openurl 
  Title Impacting factors on human reactionsto alerts 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 Knowledge based systems; Models; Social sciences; Alert; Crisis situations; Human behaviors; Human reaction; Literature reviews; Modeling and simulating; Support crisis management; Warning; Behavioral research  
  Abstract Crisis response authorities have to deal with the unpredictability of their population's behavior. One of the complex challenges is to understand the people's reaction after an official alert in a crisis situation has been issued. This paper elaborates a knowledge base to describe impacting factors on human reactions in alerting situations. For this purpose, a literature review in the theme of human behavior after warnings was conducted and augmented with information gathered in a series of interviews in German-speaking countries. The outcome is phrased as factors that might impact the human reaction to a warning. This knowledge base shall support crisis management practitioners in the elaboration of alerting strategies as well as allow researchers to systematically structure human behavior aspects for the purpose of modeling and simulating alert effects. © 2012 ISCRAM.  
  Address University of Stuttgart, Germany; German Red Cross, 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 Special Session Mixed Methods Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 142  
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Author (up) Therese Habig; Richard Lüke; Simon Gehlhar; Torben Sauerland; Daniel Tappe pdf  openurl
  Title A Consolidated Understanding of Disaster Community Technologies 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 778-791  
  Keywords Disaster Community Technologies, social media and crowdsourcing, categorization and classification schema, knowledge base  
  Abstract Since the beginning of this millennium, there has been an increasing use of social media and crowdsourcing (SMCS) technologies in disaster situations (Reuter & Kaufhold, 2018). Disaster management organizations and corresponding research are increasingly working on ways of integrating SMCS into the processes of crisis management. In a changing technological landscape to address disasters, and with increasing diversity of stakeholders in disasters, the purpose of this research is to provide an overview of technologies for SMCS within disasters to improve community resilience. The identified and analyzed technologies are summarized under the term “Disaster Community Technologies” (DCT). The paper presents a classification schema (the “DCT-schema”) for those technologies. The goal is to generate an overview of DCT in a rapidly evolving environment and to provide the practical benefit for different stakeholders to identify the right one from the overview.  
  Address safety innovation center; safety innovation center; safety innovation center; safety innovation center; safety innovation 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 Social Media for Disaster Response and Resilience Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management  
  Notes habig@safetyinnovation.center Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2373  
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Author (up) Tim Murphy; Murray E. Jennex pdf  isbn
openurl 
  Title Knowledge management systems developed for hurricane katrina response Type Conference Article
  Year 2006 Publication Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2006  
  Volume Issue Pages 615-624  
  Keywords Hurricanes; Knowledge management; Emergency information; Government projects; Hurricane katrina; Katrina; Knowledge management system; Knowledge management tool; PeopleFinder; ShelterFinder; Knowledge based systems  
  Abstract This paper explores the use of knowledge management with emergency information systems. Two knowledge management systems that were utilized during Hurricane Katrina response are described and analyzed. The systems specified were developed by both federal agencies as well as grass root efforts without the support or mandate of government programs. These programs, although developed independently, were able to share data and interact in life saving capacities, transcending traditional geo-political boundaries. We conclude that emergency information systems are enhanced by incorporating knowledge management tools and concepts.  
  Address San Diego State University, United States  
  Corporate Author Thesis  
  Publisher Royal Flemish Academy of Belgium Place of Publication Newark, NJ Editor B. Van de Walle, M. Turoff  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9090206019; 9789090206011 Medium  
  Track EXPLORING KNOWLEDGE MANAGEMENT IN CRISIS RESPONSE Expedition Conference 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 800  
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