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Promoting Coordination for Disaster Relief – From Crowdsourcing to Coordination

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Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6589))

Abstract

The efficiency at which governments and non-governmental organizations (NGOs) are able to respond to a crisis and provide relief to victims has gained increased attention. This emphasis coincides with significant events such as tsunamis, hurricanes, earthquakes, and environmental disasters occuring during the last decade. Crowdsourcing applications such as Twitter, Ushahidi, and Sahana have proven useful for gathering information about a crisis yet have limited utility for response coordination. In this paper, we briefly describe the shortfalls of current crowdsourcing applications applied to disaster relief coordination and discuss one approach aimed at facilitating efficient collaborations amongst disparate organizations responding to a crisis.

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© 2011 Springer-Verlag Berlin Heidelberg

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Gao, H., Wang, X., Barbier, G., Liu, H. (2011). Promoting Coordination for Disaster Relief – From Crowdsourcing to Coordination. In: Salerno, J., Yang, S.J., Nau, D., Chai, SK. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2011. Lecture Notes in Computer Science, vol 6589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19656-0_29

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  • DOI: https://doi.org/10.1007/978-3-642-19656-0_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19655-3

  • Online ISBN: 978-3-642-19656-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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