Difference between revisions of "Citizens’ participation and crowdsourcing"

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|Source Website=https://www.undrr.org/publication/citizens-participation-and-crowdsourcing
 
|Source Website=https://www.undrr.org/publication/citizens-participation-and-crowdsourcing
 
|Covers Disaster Community Technologies=No
 
|Covers Disaster Community Technologies=No
 +
|Is Archived=No
 
}}
 
}}
 
This document is the eighth in a series of special topics for consideration, as part of the Words into Action Guidelines on National Disaster Risk Assessment published by UNISDR. This section provides a general introduction for the use of crowdsourcing as an approach to gathering information for risk assessment, which has benefits not only for gathering data at a large scale, but also in educating participants on risks in their area as they gather information.
 
This document is the eighth in a series of special topics for consideration, as part of the Words into Action Guidelines on National Disaster Risk Assessment published by UNISDR. This section provides a general introduction for the use of crowdsourcing as an approach to gathering information for risk assessment, which has benefits not only for gathering data at a large scale, but also in educating participants on risks in their area as they gather information.

Revision as of 17:35, 2 February 2022

Quick Facts

Publishing Organisation:
UNISDR
Year:
2017
Languages:
English
Covers Thematic
Target audience
Audience experience level
Disaster Management Phase
  • Preparedness
  • Synopsis

    No synopsis provided.

    Linked to


    This document is the eighth in a series of special topics for consideration, as part of the Words into Action Guidelines on National Disaster Risk Assessment published by UNISDR. This section provides a general introduction for the use of crowdsourcing as an approach to gathering information for risk assessment, which has benefits not only for gathering data at a large scale, but also in educating participants on risks in their area as they gather information.