Coordinating Advanced Crowd Work: Extending Citizen Science

Date
2018-01-03
Authors
Crowston, Kevin
Mitchell, Erica
Østerlund, Carsten
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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.
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Collective Intelligence and Crowds, Crowdsourcing, coordination theory, task design, citizen science
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10 pages
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Related To
Proceedings of the 51st Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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