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Crowdsourcing roles, methods and tools for data-intensive disaster management

Author

Listed:
  • Marta Poblet

    (RMIT University)

  • Esteban García-Cuesta

    (Universidad Europea de Madrid)

  • Pompeu Casanovas

    (UAB Institute of Law and Technology
    Deakin University)

Abstract

Mobile technologies, web-based platforms, and social media have transformed the landscape of disaster management by enabling a new generation of digital networks to produce, process, and analyse georeferenced data in real time. This unprecedented convergence of geomobile technologies and crowdsourcing methods is opening up multiple forms to participate in disaster management tasks. Based on empirical research, this paper first proposes a conceptualisation of crowdsourcing roles and then analyses methods and tools based on a combination of two variables: (i) types of data being processed; (ii) involvement of the crowds. The paper also surveys a number of existing platforms and mobile apps leveraging crowdsourcing in disaster and emergency management with the aim to contribute to the discussion on the advantages and limits of using crowdsourcing methods and tools in these areas.

Suggested Citation

  • Marta Poblet & Esteban García-Cuesta & Pompeu Casanovas, 0. "Crowdsourcing roles, methods and tools for data-intensive disaster management," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    • Handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-017-9734-6
    DOI: 10.1007/s10796-017-9734-6
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    References listed on IDEAS

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    1. Deborah Bunker & Linda Levine & Carol Woody, 2015. "Repertoires of collaboration for common operating pictures of disasters and extreme events," Information Systems Frontiers, Springer, vol. 17(1), pages 51-65, February.
    2. Yuxiang Zhao & Qinghua Zhu, 2014. "Evaluation on crowdsourcing research: Current status and future direction," Information Systems Frontiers, Springer, vol. 16(3), pages 417-434, July.
    3. Victor Naroditskiy & Iyad Rahwan & Manuel Cebrian & Nicholas R Jennings, 2012. "Verification in Referral-Based Crowdsourcing," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-7, October.
    4. Jaeung Lee & Manish Agrawal & H. R. Rao, 2015. "Message diffusion through social network service: The case of rumor and non-rumor related tweets during Boston bombing 2013," Information Systems Frontiers, Springer, vol. 17(5), pages 997-1005, October.
    5. Amit Birenboim & Noam Shoval, 2016. "Mobility Research in the Age of the Smartphone," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(2), pages 283-291, March.
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