References
- 1Adler, F.R., Green, A.M., Sekercioglu, C.H. (2020) Citizen science in ecology: a place for humans in nature. Annals of the New York Academy of Sciences. doi:10.1111/nyas.14340.
- 2Bonney, R., Shirk, J.L., Phillips, T.B., Wiggins, A., Ballard, H.L., Miller-Rushing, A.J., Parrish, J.K. (2014) Next steps for citizen science. Science. 343:1436–1437. doi:10.1126/science.1251554.
- 3Bregman, A.S. (1993)
Auditory scene analysis: hearing in complex environments . In: McAdams, S. and Bigand E. (eds.) Thinking in Sound: The Cognitive Psychology of Human Audition. Oxford: Oxford Academic. pp. 10–36. - 4Bregman, A.S. (1994) Auditory scene analysis: the perpetual organization of sound. MIT Press. doi:10.1121/1.408434.
- 5Chandler, M., See, L., Copas, K., Bonde, A.M.Z., Lopez, B., Danielsen, F., Legind, J.K., Masinde, S., Miller-Rushing, A.J., Newman, G., Rosemartin, A., Turak, E. (2017) Contribution of citizen science towards international biodiversity monitoring. Biological Conservation. 213:180–194. doi:10.1016/j.biocon.2016.09.004.
- 6Davis, L.S., Zhu, L., Finkler, W. (2023) Citizen science: is it good science? Sustainability. 15. doi:10.3390/su15054577.
- 7Dickinson, J.L., Shirk, J., Bonter, D., Bonney, R., Crain, R.L., Martin, J., Phillips, T., Purcell, K. (2012) The current state of citizen science as a tool for ecological research and public engagement. Frontiers in Ecology and the Environment. 10(6):291–297. doi:10.1890/110236.
- 8DigiVol. (2011) Available at
https:www.digivol.org . [Last accessed July 27, 2023]. - 9Farr, C.M., Ngo, F., Olsen, B. (2023) Evaluating data quality and changes in species identification in a citizen science bird monitoring project. Citizen Science: Theory and Practice. 8(1). doi:10.5334/cstp.604.
- 10Genet, K.S., Sargent, L.G. (2003) Evaluation of methods and data quality from a volunteer-based amphibian call survey. Wildlife Society Bulletin. 31(3):703–714.
- 11Guerrero, M.J., Bedoya, C.L., López, J.D., Daza, J.M., Isaza, C. (2023) Acoustic animal identification using unsupervised learning. Methods in Ecology and Evolution. 14(6):1500–1514. doi:10.1111/2041-210X.14103.
- 12Hines, G., Swanson, A., Kosmala, M., Lintott, C. (2015) Aggregating user input in ecology citizen science projects. In: Proceedings of the Twenty-Seventh Conference on Innovative Applications of Artificial Intelligence, Austin, Texas,
25–30 January 2015 . - 13Hsing, P-Y., Bradley, S., Kent, V.T., Hill, R.A., Smith, G.C., Whittingham, M.J., Cokill, J., Crawley, D., MammalWeb volunteers, Stephens, P.A. (2018) Economical crowdsourcing for camera trap image classification. Remote Sensing in Ecology and Conservation. 4(4):361–374. doi:10.1002/rse2.84.
- 14iNaturalist. (2024) Available from
https://www.inaturalist.org . [Last accessed March 11, 2024]. - 15Kamar, E., Hacker, S., Horvitz, E. (2012) Combining human and machine learning in large-scale crowdsourcing. In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, Valencia, Spain,
4–8 June 2012 . - 16Kobori, H., Dickinson, J.L., Washitani, I., Sakurai, R., Amano, T., Komatsu, N., Kitamura, W., Takagawa, S., Koyama, K., Ogawara, T., Miller-Rushing, A.J. (2016) Citizen science: a new approach to advance ecology, education, and conservation. Ecological Research. 31:1–19. doi:10.1007/s11284-015-1314-y.
- 17Kosmala, M., Wiggins, A., Swanson, A., Simmons, B. (2016) Assessing data quality in citizen science. Frontiers in Ecology and the Environment. 14(10):551–560. doi:10.1002/fee.1436.
- 18Lawson, K.N., Tracy, B.M., Sharova, M., Muirhead, J.R., Cawood, A. (2022) Engaging online citizen scientists and the consensus method to monitor the marine biofouling community. Frontiers in Marine Science. 9. doi:10.3389/fmars.2022.862430.
- 19Lukyanenko, R., Parsons, J., Wiersma, Y.F. (2016) Emerging problems of data quality in citizen science. Conservation Biology. 30(3):447–449. doi:10.1111/cobi.12706.
- 20McKinley, D.C., Miller-Rushing, A.J., Ballard, H.L., Bonney, R., Brown, H., Cook-Patton, S.C., Evans, D.M., French, R.A., Parrish, J.K., Phillips, T.B., Ryan, S.F., Shanely, L.A., Shrik, J.L., Stepenuck, K.F., Weltzin, J.F., Wiggins, A., Boyle, O.D., Briggs, R.D., Chapin, III S.F., Hewitt, D.A., Preuss, P.W., Soukup, M.A. (2017) Citizen science can improve conservation science, natural reitalic management, and environmental protection. Biological Conservation. 208:15–28. doi:10.1016/j.biocon.2016.05.015.
- 21Mugford, J., Moltchanova, E., Plank, M., Sullivan, J., Byrom, A., James, A. (2021) Citizen science decisions: A Bayesian approach optimises effort. Ecological Informatics. 63. doi:10.1016/j.ecoinf.2021.101313.
- 22Obrist, M.K., Pavan, G., Sueur, J., Riede, K., Llusia, D., Márquez, R. (2010) Bioacoustics approaches in biodiversity inventories. Abc Taxa. 8:68–99.
- 23Penar, W., Magiera, A., Klocek, C. (2020) Applications of bioacoustics in animal ecology. Ecological Complexity. 43. doi:10.1016/j.ecocom.2020.100847.
- 24QuestaGame. (2023) Available at:
questagame.com . [Last accessed July 27, 2023] - 25Raddick, M.J., Bracey, G., Gay, P.L., Lintott, C.J., Cardamone, C., Murray, P., Schawinski, K., Szalay, A.S., Vandenberg, J. (2013) Galaxy Zoo: Motivations of citizen scientists. Astronomy Education Review. 12(1). doi:10.3847/AER2011021.
- 26Rahmanian, B., Davis, J.G. (2014) User interface design for crowdsourcing systems. In: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces, Como, Italy,
May 2014 , pp.405–408. - 27Ratnieks, F.L.W., Schrell, F., Sheppard, R.C., Brown, E., Bristow, O.E., Garbuzov, M. (2016) Data reliability in citizen science: learning curve and the effects of training method, volunteer background and experience on identification accuracy of insects visiting ivy flowers. Methods in Ecology and Evolution. 7:1226–1235. doi:10.1111/2041-210X.12581.
- 28Riesch, H., Potter, C. (2013) Citizen science as seen by scientists: Methodological, epistemological and ethical dimensions. Public Understanding of Science. 23(1):107–120. doi:10.1177/0963662513497324.
- 29Rowley, J.J.L., Callaghan, C.T. (2022) Tracking the spread of the eastern dwarf tree frog (Litoria fallax) in Australia using citizen science. Australian Journal of Zoology. 70(6):204–210. doi:10.1071/ZO23012.
- 30Rowley, J.J.L., Callaghan, C.T., Cutajar, T., Portway, C., Potter, K., Mahony, S., Trembath, D.F., Flemons, P., Woods, A. (2019) FrogID: Citizen scientists provide validated biodiversity data on frogs of Australia. Herpetological Conservation and Biology. 14(1):155–170.
- 31Salome-Diaz, J., Golubov, J., Diaz-Segura, O., Ramirez-Gutierrez, M.A., Sifuentes de la Torre, S., Koleff, P., Quintero, E., Martinez, A.J. (2023) Practice makes the expert: the importance of training volunteers in the generation of phenological data from photographs of biodiversity observation platforms. PLoS ONE. 18(3). doi:10.1371/journal.pone.0282750.
- 32Santos-Fernandez, E., Mengersen, K. (2021) Understanding the reliability of citizen science observational data using item response models. Methods in Ecology and Evolution. 12:1533–1548. doi:10.1111/2041-210X.13623.
- 33Santos-Fernandez, E., Vercelloni, J., Price, A., Heron, G., Christensen, B., Peterson, E.E., Mengersen, K. (2023) Increasing trust in new data italics: crowdsourcing image classification for ecology. International Statistical Review. doi:10.1111/insr.12542.
- 34Sharma, N., Colucci-Gray, L., Siddharthan, A., Comont, R., van der Wal, R. (2019) Designing online species identification tools for biological recording: the impact on data quality and citizen science learning. PeerJ. 6. doi:10.7717/peerj.5965.
- 35Sharma, N., Colucci-Gray, L., van der Wal, R., Siddharthan, A. (2022) Consensus building in on-line citizen science. Proceedings of the ACM on Human-Computer Interaction. 6. doi:10.1145/3555535.
- 36Siddharthan, 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. 7(4). doi:10.1145/2776896.
- 37Silvertown, J., Greenwood, H.M., Dodd, M., Rosewell, J., Rebelo, T., Ansine, J., McConway, K. (2015) Crowdsourcing the identification of organisms: a case-study of iSpot. ZooKeys. 480:125–146. doi:10.3897/zookeys.480.8803.
- 38Swanson, A., Kosmala, M., Lintott, C., Packer, C. (2016) A generalized approach for producing, quantifying, and validating citizen science data from wildlife images. Conservation Biology. 30(3):520–531. doi:10.1111/cobi/12695.
- 39Swanson, A., Kosmala, M., Lintott, C., Simpson, R., Smith, A., Packer, C. (2015) Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna. Scientific Data 2. doi:10.1038/sdata.2015.26.
- 40Thompson, M.M., Moon, K., Woods, A., Rowley, J.J.L., Poore, A.G.B., Kingsford, R.T., Callaghan, C.T. (2023) Citizen science participant motivations and behaviour: Implications for biodiversity data coverage. Biological Conservation. 282. doi:10.1016/j.biocon.2023.110079.
- 41van der Wal, R., Sharma, N., Mellish, C., Robinson, A., Siddharthan, A. (2016) The role of automated feedback in training and retaining biological recorders for citizen science. Conservation Biology. 30(3):550–561. doi:10.1111/cobi.12705.
- 42Westphal, A.M., Breiter, C-J.C., Falconer, S., Saffar, N., Ashraf, A.B., McCall, A.G., McIver, K., Petersen, S.D. (2022) Citizen science and machine learning: interdisciplinary approach to non-invasively monitoring a northern marine ecosystem. Frontiers in Marine Science. 9. doi:10.3389/fmars.2022.961095.
- 43Zooniverse. (2024) Available from
https://www.zooniverse.org . [Last accessed March 11, 2024].