References
- 1Ali, JM, Sangster, JL, Snow, DD, Bartelt-Hunt, SL and Kolok, AS. 2019. Assessing the accuracy of citizen scientist reported measurements for agrichemical contaminants. Environmental Science & Technology. American Chemical Society, 53(10): 5633–5640. DOI: 10.1021/acs.est.8b06707
- 2Burke, JA, Estrin, D, Hansen, M, Parker, A, Ramanathan, N, Reddy, S and Srivastava, MB. 2006.
Participatory sensing . World Sensor Web Workshop ’06 at SenSys ’06, October 31, 2006, Boulder, Colorado, USA. - 3Carpenter, SR, Caraco, NF, Correll, DL, Howarth, RW, Sharplet, AN and Smith, VH. 1998. Nonpoint pollution of surface waters with phosphorus and nitrogen. Ecological Applications, 8(3): 559–568.
http://www.jstor.org/stable/2641247 . DOI: 10.1890/1051-0761(1998)008[0559:NPOSWW]2.0.CO;2 - 4Cohn, JP. 2008. Citizen science: can volunteers do real research?. BioScience, 58(3): 192–197. DOI: 10.1641/B580303
- 5Conrad, CC and Hilchey, KG. 2011. A review of citizen science and community-based environmental monitoring: Issues and opportunities. Environmental Monitoring and Assessment, 176(1–4): 273–291. DOI: 10.1007/s10661-010-1582-5
- 6Hadj-Hammou, J, Loiselle, S, Ophof, D and Thornhill, I. 2017. Getting the full picture: assessing the complementarity of citizen science and agency monitoring data. PLoS ONE, 12(12): 1–18. DOI: 10.1371/journal.pone.0188507
- 7Jollymore, A, Haines, MJ, Satterfield, T and Johnson, MS. 2017.
Citizen science for water quality monitoring: data implications of citizen perspectives . Journal of Environmental Management. Elsevier Ltd, 200(2017): 456–467. DOI: 10.1016/j.jenvman.2017.05.083 - 8Karlsen, H and Dong, T. 2015. A smart phone-based robust correction algorithm for the colorimetric detection of Urinary Tract Infection. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS.
IEEE ,November 2015 : 1251–1254. DOI: 10.1109/EMBC.2015.7318594 - 9Loperfido, JV, Beyer, P, Just, CL and Schnoor, JL. 2010. Uses and biases of volunteer water quality data. Environmental Science and Technology, 44(19): 7193–7199. DOI: 10.1021/es100164c
- 10Malone, TC and Newton, A. 2020. The globalization of cultural eutrophication in the coastal ocean: causes and consequences. Frontiers in Marine Science, 7(August): 1–30. DOI: 10.3389/fmars.2020.00670
- 11McGonigle, AJS, Wilkes, TC, Pering, TD, Wilmott, JR, Cook, JM, Mims III, FM and Parisi, AV. 2018. Smartphone spectrometers. Sensors, 18(1): 1–15. DOI: 10.3390/s18010223
- 12Muenich, RL, Peel, S, Bowling, LC, Heller Haas, M, Turco, RF, Frankenberger, JR and Chaubey, I. 2016.
The Wabash sampling blitz: a study on the effectiveness of citizen science . Citizen Science: Theory and Practice. Ubiquity Press, 1(1), p. 3. DOI: 10.5334/cstp.1 - 13Nelson, JL, Kurtz, LT and Bray, RH. 1954. Rapid determination of nitrates and nitrites. Analytical Chemistry, 26(6): 1081–1082. DOI: 10.1021/ac60090a041
- 14Shen, L, Hagen, JA and Papautsky, I. 2012. Point-of-care colorimetric detection with a smartphone. Lab on a Chip, 12(21): 4240–4243. DOI: 10.1039/c2lc40741h
- 15Thornhill, I, Chautard, A and Loiselle, S. 2018. Monitoring biological and chemical trends in temperate stillwaters using citizen science. Water (Switzerland), 10(7). DOI: 10.3390/w10070839
- 16Wyeth, G, Paddock, LC, Parker, A, Glicksman, RL and Williams, J. 2019. The impact of citizen environmental science in the United States. Environmental Law Reporter; GWU Law School Public Law Research Paper No. 2019-44, 49(3).
- 17Yetisen, AK, Martinez-Hurtado, JL, Garcia-Melendrez, A, Vasconcellos, FC and Lowe, CR. 2014.
A smartphone algorithm with inter-phone repeatability for the analysis of colorimetric tests . Sensors and Actuators, B: Chemical. Elsevier B.V., 196: 156–160. DOI: 10.1016/j.snb.2014.01.077
