Promoting coordination for disaster relief - From crowdsourcing to coordination

Huiji Gao, Xufei Wang, Geoffrey Barbier, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

41 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling and Prediction - 4th International Conference, SBP 2011, Proceedings
Pages197-204
Number of pages8
DOIs
StatePublished - Mar 14 2011
Event4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2011 - College Park, MD, United States
Duration: Mar 29 2011Mar 31 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6589 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2011
CountryUnited States
CityCollege Park, MD
Period3/29/113/31/11

Keywords

  • Crisis Map
  • Crowdsourcing
  • Disaster Relief
  • Groupsourcing
  • Relief Organization
  • Response Coordination

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Gao, H., Wang, X., Barbier, G., & Liu, H. (2011). Promoting coordination for disaster relief - From crowdsourcing to coordination. In Social Computing, Behavioral-Cultural Modeling and Prediction - 4th International Conference, SBP 2011, Proceedings (pp. 197-204). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6589 LNCS). https://doi.org/10.1007/978-3-642-19656-0_29