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Coordinating Advanced Crowd Work: Extending Citizen Science

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Item Summary

Title: Coordinating Advanced Crowd Work: Extending Citizen Science
Authors: Crowston, Kevin
Mitchell, Erica
Østerlund, Carsten
Keywords: Collective Intelligence and Crowds
Crowdsourcing, coordination theory, task design, citizen science
Issue Date: 03 Jan 2018
Abstract: Crowdsourcing work with high levels of coupling between tasks poses challenges for coordination. This paper presents a study of an online citizen science project that involved volunteers in such tasks: not just analyzing bulk data but also interpreting data and writing a paper for publication. However, extending the reach of citizen science adds tasks with more dependencies, which calls for more elaborate coordination mechanisms but the relationship between the project and volunteers limits how work can be coordinated. Contrariwise, a mismatch between dependencies and available coordination mechanisms can be expected to lead to performance problems. The results of the study offer recommendations for design of crowdsourcing of more complex tasks.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/50099
ISBN: 978-0-9981331-1-9
DOI: 10.24251/HICSS.2018.212
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Collective Intelligence and Crowds


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