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Data Against Natural Disasters : Establishing Effective Systems for Relief, Recovery, and Reconstruction


  • Samia Amin
  • Markus Goldstein


Data against natural disasters makes a valuable contribution to our understanding of the conditions and actions necessary for establishing effective disaster management information systems. The volume's introductory chapters outline the data needs that arise at different stages in disaster response and explore the humanitarian community's efforts to discover more effective mechanisms. These overviews are preceded by an introduction that summarizes some of the key lessons one may derive from the six country (Guatemala, Haiti, Indonesia, Mozambique, Pakistan, and Sri Lanka) case studies that constitute the rest of the volume. These six case studies examine country-level efforts to establish information management systems to coordinate disaster response. Not all of the attempts proved successful, but they included important technical and institutional innovations that are worthy of study. Collectively, they yield important lessons both for forward-thinking countries seeking ex ante disaster preparedness and for humanitarian responders hoping to implement good systems quickly after calamities have struck.

Suggested Citation

  • Samia Amin & Markus Goldstein, 2008. "Data Against Natural Disasters : Establishing Effective Systems for Relief, Recovery, and Reconstruction," World Bank Publications, The World Bank, number 6511, June.
  • Handle: RePEc:wbk:wbpubs:6511

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    References listed on IDEAS

    1. Isabelle Huault & V. Perret & S. Charreire-Petit, 2007. "Management," Post-Print halshs-00337676, HAL.
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    Cited by:

    1. Yoshito Takasaki, 2011. "Do Local Elites Capture Natural Disaster Reconstruction Funds?," Journal of Development Studies, Taylor & Francis Journals, vol. 47(9), pages 1281-1298, May.
    2. Yoshito Takasaki, 2011. "How is disaster aid allocated within poor villages?," Tsukuba Economics Working Papers 2011-004, Economics, Graduate School of Humanities and Social Sciences, University of Tsukuba.
    3. Yoshito Takasaki, 2012. "Natural Disasters, Gender and Handicrafts," Journal of Development Studies, Taylor & Francis Journals, vol. 48(1), pages 115-132, February.
    4. Alison Buttenheim, 2010. "Impact evaluation in the post-disaster setting: a case study of the 2005 Pakistan earthquake," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 2(2), pages 197-227.
    5. Ali Naqvi & Miriam Rehm, 2014. "A multi-agent model of a low income economy: simulating the distributional effects of natural disasters," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 275-309, October.
    6. repec:wbk:wbpubs:27353 is not listed on IDEAS
    7. Leonard Sweta & Wietske Bijker, 2013. "Methodology for assessing the usability of earth observation-based data for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 167-199, January.


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