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Author George H. Bressler; Murray E. Jennex; Eric G. Frost pdf  isbn
openurl 
  Title X24 Mexico: Stronger together 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 Scheduling; Crisis response; Disaster scenario; Eastern Europe; Self-organize; Social media; Southern California; Web 2.0 tools; Work in progress; Information systems  
  Abstract Can populations self-organize a crisis response? This is a work in progress report on Exercise 24, X24, Mexico, a follow up to the first two exercises, X24 and X24 Europe The X24 exercises used a variety of free and low-cost social media and web 2.0 tools to organize, plan, and manage local and international expertise and organizations in the response to a preset disaster scenario. The first X24 focused on Southern California, while the second X24, X24 Europe, focused on the Balkan area of Eastern Europe. These exercises involved over 12,500 participants for X24 while X24 Europe had over 49,000 participants. This paper presents an overview of the recently completed X24 Mexico exercise, as well as the preliminary results. © 2012 ISCRAM.  
  Address San Diego State University, United States  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Open Track Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 84  
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Author José H. Canós-Cerdá; Juan Sánchez-Díaz; Vicent Orts; Carmen Penadés; Abel Gómez; Marcos R. S. Borges pdf  isbn
openurl 
  Title Turning emergency plans into executable artifacts 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 498-502  
  Keywords Hardware; Digital Objects; Emergency plans; Execution engine; Information access; Information resource; Knowledge intensive workflow; Structured specification; Work in progress; Information systems  
  Abstract On the way to the improvement of Emergency Plans, we show how a structured specification of the response procedures allows transforming static plans into dynamic, executable entities that can drive the way different actors participate in crisis responses. Additionally, the execution of plans requires the definition of information access mechanisms allowing execution engines to provide an actor with all the information resources he or she needs to accomplish a response task. We describe work in progress to improve the SAGA's Plan definition Module and Plan Execution Engine to support information-rich plan execution.  
  Address ISSI-DSIC, Universitat Politècnica de València, Spain; AtlanMod, École des Mines de Nantes, INRIA, LINA, France; GRECO-PPGI, Universidade Federal Do Rio de Janeiro, Brazil  
  Corporate Author Thesis  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  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 367  
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Author Stella Moehrle pdf  isbn
openurl 
  Title Generic self-learning decision support system for large-scale disasters Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Artificial intelligence; Decision making; Decision support systems; Disaster prevention; Disasters; Information systems; Complex structure; Decision makers; Decision making process; Decision process; Disaster management; Emergency response; Large-scale disasters; Work in progress; Emergency services  
  Abstract Large-scale disasters, particularly failures of critical infrastructures, are exceptional situations which cannot be solved with standard countermeasures. The crises are complex and the decision makers face acute time pressure to respond to the disaster. IT based decision support systems provide potential solutions and assist the decision making process. Many decision support systems in emergency response and management concentrate on one kind of disaster. Moreover, complex structures are modeled and recommendations are made rule-based. This work in progress paper describes the first steps towards the development of a generic and self-learning decision support system. The methodology used is case-based reasoning. The paper concludes with a sample emergency decision process. © 2012 ISCRAM.  
  Address Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Germany  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Track Decision Support Methods for Complex Crises Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 171  
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Author Nicholas Palmer; Roelof Kemp; Thilo Kielmann; Henri Bal pdf  isbn
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  Title RAVEN: Using smartphones for collaborative disaster data collection 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 Database systems; Disaster prevention; Disasters; Distributed computer systems; Groupware; Information systems; Signal encoding; Smartphones; User interfaces; Android; Centralized resources; Collaborative Editing; Collaborative softwares; Data distribution; Data synchronization; Disaster management; Work in progress; Android (operating system)  
  Abstract In this paper we describe our work in progress on RAVEN, a framework, which makes it possible to build applications for collaborative editing of structured data on Android. RAVEN offers developers compile time tools, which use only the schema to generate all database handling components, edit and list user interfaces, as well as those needed for data synchronization, significantly reducing development effort. In addition, RAVEN also offers the ability to do the same work, entirely at runtime, using only a smartphone. With RAVEN it is possible to construct data oriented applications on phone at any time, including during a disaster. Users can share their applications simply by sharing the database and corresponding schema. Thus, RAVEN enables completely decentralized application creation, sharing, and data distribution, avoiding issues of connectivity to centralized resources. In this paper we show that with RAVEN it is possible to construct a new application at runtime and compare the results with an equivalent custom-built application. © 2012 ISCRAM.  
  Address VU University Amsterdam, Netherlands  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Analytical Modelling and Simulation Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 183  
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Author Jens Pottebaum; Robin Marterer; Steffen Schneider pdf  isbn
openurl 
  Title Taxonomy of IT support for training emergency response & management 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 374-378  
  Keywords Information systems; Taxonomies; Emergency preparedness; Emergency response; Exercise; Learning managements; Market researches; Technological progress; Training exercise; Work in progress; Emergency services  
  Abstract Training is a prerequisite for effective and efficient emergency response and management. Information technology (IT) offers high potential to support various educational methods and environments. One example for interdependent use cases is given by planning, controlling, observation and debriefing of training exercises. Dedicated IT systems are available to support these use cases; nevertheless, there is no joint understanding of system use cases, types and functionality as a fundament for scientific and technological progress. This work in progress paper presents results of literature and market research complemented by expert interviews leading to a taxonomy of relevant IT components and systems.  
  Address University of Paderborn, C.I.K., Germany  
  Corporate Author Thesis  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Humanitarian Information Systems Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 848  
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Author Christopher W. Zobel pdf  isbn
openurl 
  Title Analytically comparing disaster recovery following the 2012 derecho 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 678-682  
  Keywords Disasters; Electric utilities; Information systems; Appalachian; Derecho; Disaster recovery; Mid-Atlantic; Power company; Quantitative modeling; Recovery process; Work in progress; Recovery  
  Abstract This work in progress paper discusses analytically characterizing nonlinear recovery behavior through the context of the derecho windstorm that struck the mid-Atlantic United States in the summer of 2012. The focus is on the recovery efforts of the Appalachian Power Company, and the discussion includes a look at the need for communicating the progress of such recovery efforts to the public. Publicly available recovery data is analyzed and compared with respect to the relative behaviors exhibited by two different nonlinear recovery processes, and some of the implications for understanding the efficiency of different disaster recovery operations are discussed.  
  Address Virginia Tech, United States  
  Corporate Author Thesis  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Analytical Modelling and Simulation Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1164  
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