Coordinating Advanced Crowd Work: Extending Citizen Science

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dc.contributor.authorCrowston, Kevin
dc.contributor.authorMitchell, Erica
dc.contributor.authorØsterlund, Carsten
dc.date.accessioned2017-12-28T00:52:14Z
dc.date.available2017-12-28T00:52:14Z
dc.date.issued2018-01-03
dc.description.abstractCrowdsourcing 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.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2018.212
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/50099
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCollective Intelligence and Crowds
dc.subjectCrowdsourcing, coordination theory, task design, citizen science
dc.titleCoordinating Advanced Crowd Work: Extending Citizen Science
dc.typeConference Paper
dc.type.dcmiText

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