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A Framework for Citizen e-Participation in Disaster Management
 

A Framework for Citizen e-Participation in Disaster Management

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    A Framework for Citizen e-Participation in Disaster Management A Framework for Citizen e-Participation in Disaster Management Presentation Transcript

    • Guido Lang
    • Agenda
      • Problem
      • Literature
      • Solution
    • What works best when?
    • Agenda
      • Problem
      • Literature
      • Solution
      • “ Social media support critical information distribution activity among members of the public that […] needs to be better integrated with official disaster response activities.” (Palen, 2008: 78)
    • (Carver, 2003)
    • (Phang & Kankanhalli, 2008)
    • (Kumar & Vragov, 2009)
    • Agenda
      • Problem
      • Literature
      • Solution
    • Proposed Morphology (after Rowe, 2005)
    • Methodology
      • Qualitative comparative case analysis (Ragin, 1987)
      • Reduce case studies to variables of conditions and outcomes for further analysis (Rihoux, 2006)
      • e-Participation morphology presents one way to model the conditional variables
    • Case Studies
    • Virginia Tech Tragedy
    •  
    • Citizen e-Participation
      • Contributions by members of VT network were treated with a sense of authority
      • Group administrator was continuously engaged
      • Discussion board was used for free-text entry
      • Group reached agreement through deliberation
      • (Vieweg et al., 2008; Palen et al., 2007)
    • Corresponding Morphotype
    • Britain Blizzard
    •  
    • Citizen e-Participation
      • Everyone was able to contribute equally
      • Users were left on their own
      • Highly formalized response
      • Automated aggregation of information
    • Corresponding Morphotype
    • Discussion & Conclusion
      • Both cases represent successful instances of citizen e-participation in disaster situations
      • They differ in their respective e-participation mechanism and disaster context
      • It appears that level of task complexity is related to key variables of e-participation mechanism
      • Proposed morphology is a first step to understand what works best when
    • References
      • Carver, S. (2003). The Future of Participatory Approaches Using Geographic Information: developing a research agenda for the 21st century. URISA Journal , 15 (APA 1), 61-71.
      • Kumar, N., & Vragov, R. (2009). Active Citizen Participation Using ICT Tools. Communications of the ACM , 52 (1), 118-121.
      • Palen, L. (2008). Online Social Media in Crisis Events. Educause Quarterly , (3), 76-78.
      • Palen, L., Vieweg, S., Sutton, J., Liu, S. B., & Hughes, A. (2007). Crisis Informatics: Studying Crisis in a Networked World. In Proceedings of the 3rd International Conference on e-Social Science . Ann Arbor, MI.
      • Phang, C. W., & Kankanhalli, A. (2008). A Framework of ICT Exploitation for E-Participation Initiatives. Communications of the ACM , 51 (12), 128-132.
      • Rowe, G. (2005). A Typology of Public Engagement Mechanisms. Science, Technology & Human Values , 30 (2), 251-290.
      • Ragin, C. C. (1987). The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. University of California Press: Berkeley, CA.
      • Rihoux, B. (2006). Qualitative comparative analysis (qca) and related systematic comparative methods: recent advances and remaining challenges for social science research. International Sociology , 21 (5), 679-706.
      • Vieweg, S., Palen, L., Liu, S. B., Hughes, A. L., & Sutton, J. (2008). Collective Intelligence in Disaster: Examination of the Phenomenon in the Aftermath of the 2007 Virginia Tech Shooting. In F. Fiedrich & B. Van De Walle, Proceedings of the 5th International ISCRAM Conference (pp. 44-54). Washington, DC.