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Author (up) Simone Wurster; Frank Fiedrich; Michael Klafft; Andreas Bohn pdf  isbn
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  Title Sudden Cardiac Arrest and the Role of Crowd Tasking Apps for Risk Mitigation 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 Risk Mitigation; Crowd Tasking; Benefit Analysis; Warning Apps; Sudden Cardiac Arrest  
  Abstract Sudden cardiac arrest (SCA) is among the three most prominent causes of death in industrialized nations. Therefore, experts are calling for solutions, including smartphone-based systems to mobilize volunteers. German researchers are developing a crisis response system with a crowd tasking app. It aims to help reduce the effects of large-scale events, but also of ad-hoc incidents including SCA. This paper describes an approach to determine the potential of the system to increase the survival rate of SCA illustrated by an example. Its concept was analyzed by five experts from three countries and benefited from their feedback.  
  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 2411-3416 ISBN 978-84-608-7984-37 Medium  
  Track Planning, Foresight and Risk Analysis Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1438  
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Author (up) Simone Wurster; Michael Klafft; Marcel Kühn pdf  isbn
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  Title Beyond Saving Lives: Assessing the Economic Benefits of Early Warning Apps for Companies in the Context of Hydrological Hazards 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 cost-benefit analysis; Early warning systems; warning apps; natural disasters  
  Abstract Natural and man-made hazards are increasingly threatening modern societies. Therefore Turoff, Hiltz, Bañuls and Van Den Eede (2013) highlight the need for boosting efforts in planning for emergencies. Advanced early warning systems (EWS) provide opportunities to increase the resilience of societies. Warning via mobile phones is considered to be the best way of alerting but few public authorities already use this warning channel. EWS also help to protect property but their implementation requires significant investments. Cost-benefit estimations are needed for public authorities, insurance companies and the users, particularly private households and enterprises. This paper contributes a disaster-independent formula to disaster research with specific applications for hydrological hazards. Illustrated by a heavy rain scenario, it shows, in particular, the benefits of EWS for companies. A specific focus is put on lead time aspects.  
  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 Planning, Foresight and Risk Analysis Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved yes  
  Call Number Serial 1301  
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Author (up) Simone Wurster; Ulrich Meissen pdf  isbn
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  Title Towards an economic assessment approach for early warning systems: Improving cost-avoidance calculations with regard to private households 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 439-443  
  Keywords Disasters; Investments; Early Warning System; Early warning systems; Economic assessments; Investment decisions; Quantitative assessments; Quantitative models; Theoretical framework; Warning technologies; Information systems  
  Abstract In recent years, Early Warning Systems (EWS) have proven their value by saving many lives. However, most in-vestments into EWS were motivated directly by experienced disaster events and rarely pro-actively by possible up-coming threats. In order to change that we think that besides ethical and humanitarian reasons also the positive economic effects should be analyzed. EWS also help to protect property, but their contribution is not as obvious in that field due to the lack of quantitative models. This paper presents a disaster-independent formula that shows the benefits of EWS. Additional value to existing approaches is based on its advanced focus on behavioral aspects and the benefits of EWS in comparison to warnings issued via social media. We consider this work as an important contribution for future investments into warning technologies. However, yet this model just provides a theoretical framework for necessary empirical studies that are subject of further research.  
  Address TU Berlin, Germany; Fraunhofer FOKUS, 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 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 1107  
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