Siddharthan, AdvaithLambin, ChristopherRobinson, Anne-MarieSharma, NirwanComont, RichardO'Mahony, ElaineMellish, ChrisVan Der Wal, Rene2017-05-022017-05-022016-07-14Siddharthan, A, Lambin, C, Robinson, A-M, Sharma, N, Comont, R, O'Mahony, E, Mellish, C & Van Der Wal, R 2016, 'Crowdsourcing without a crowd : Reliable online species identification using Bayesian models to minimize crowd size', ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 4, 45, pp. 1-20. https://doi.org/10.1145/27768962157-6904http://hdl.handle.net/2164/8595Acknowledgment This research was supported by an award made by the RCUK Digital Economy program to the University of Aberdeen’s dot.rural Digital Economy Hub (ref. EP/G066051/1). Christopher Lambin was funded through a NERC research experience placements grant.201184548engcrowdsourcingcitizen scienceconsensus modelBayesian reasoningbumblebee identificationbiological recordingQA75 Electronic computers. Computer scienceUK Research and Innovation (UKRI)EP/G066051/1Natural Environment Research Council (NERC)QA75Crowdsourcing without a crowd : Reliable online species identification using Bayesian models to minimize crowd sizeJournal article10.1145/277689674