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

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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.

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Notes

  1. This task was performed by roughly 8 million volunteers using the platform Tomnod (http://www.tomnod.com/) and tagging images from an area covering over 1.007.750 square km.

  2. http://nlp.lsi.upc.edu/freeling/

  3. http://www.observedchange.com/moac/ns/

  4. http://hxlstandard.org/

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Acknowledgements

The research leading to this paper has been supported by two research grants from the Spanish Ministry of Economy and Competitiveness (MINECO) to the projects ‘CrowdCrisisControl’ (IPT-2012-0968-390000) and ‘Meta-rule of law’, DER2016-78108-P. The work has also been supported by the project ‘Data to Decisions CRC’ funded by the Department of Industry and Science of the Australian Government. The authors are very grateful to the anonymous reviewers of the manuscript for their comments and suggestions.

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Authors and Affiliations

  1. RMIT University, Melbourne, VIC, 3001, Australia

    Marta Poblet

  2. Computer Science Department, Universidad Europea de Madrid, 28670, Villaviciosa de Odón, Madrid, Spain

    Esteban García-Cuesta

  3. UAB Institute of Law and Technology, Campus UAB, 08193, Bellaterra, Spain

    Pompeu Casanovas

  4. Data to Decisions Cooperative Research Centre, Deakin University, Geelong, Australia

    Pompeu Casanovas

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  1. Marta Poblet
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  2. Esteban García-Cuesta
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Correspondence to Marta Poblet.

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Poblet, M., García-Cuesta, E. & Casanovas, P. Crowdsourcing roles, methods and tools for data-intensive disaster management. Inf Syst Front 20, 1363–1379 (2018). https://doi.org/10.1007/s10796-017-9734-6

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