Copyright © 2012 Christina L. Catlin-Groves. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

1. A. Wiggins and K. Crowston, “From conservation to crowdsourcing: a typology of citizen science,” in Proceedings of the 44th Hawaii International Conference on System Sciences (HICSS '10), January 2011. View at Publisher · View at Google Scholar · View at Scopus
2. J. P. Cohn, “Citizen science: can volunteers do real research?” BioScience, vol. 58, no. 3, pp. 192–197, 2008. View at Publisher · View at Google Scholar · View at Scopus
3. K. S. Oberhauser and M. D. Prysby, “Citizen science: creating a research army for conservation,” American Entomologist, vol. 54, no. 2, p. 3, 2008.
4. S. Droege, “Just because you paid them doesn't mean their data are better,” in Proceedings of the Citizen Science Toolkit Conference, Ithaca, NY, USA, 2007.
5. J. Silvertown, “A new dawn for citizen science,” Trends in Ecology & Evolution, vol. 24, no. 9, pp. 467–471, 2009. View at Publisher · View at Google Scholar · View at Scopus
6. R. Bonney, C. B. Cooper, J. Dickinson et al., “Citizen science: a developing tool for expanding science knowledge and scientific literacy,” BioScience, vol. 59, no. 11, pp. 977–984, 2009. View at Publisher · View at Google Scholar · View at Scopus
7. A. Irwin, Citizen Science: A Study of People, Expertise and Sustainable Development, Routledge, London, UK, 1995.
8. J. Howe, “The rise ofcrowdsourcing,” Wired Magazine. In press.
9. C. B. Cooper, J. Dickinson, T. Phillips, and R. Bonney, “Citizen science as a tool for conservation in residential ecosystems,” Ecology and Society, vol. 12, no. 2, article 11, 2007. View at Scopus
10. J. L. Dickinson, B. Zuckerberg, and D. N. Bonter, “Citizen science as an ecological research tool: challenges and benefits,” Annual Review of Ecology, Evolution, and Systematics, vol. 41, pp. 149–172, 2010. View at Publisher · View at Google Scholar · View at Scopus
11. V. Devictor, R. J. Whittaker, and C. Beltrame, “Beyond scarcity: citizen science programmes as useful tools for conservation biogeography,” Diversity and Distributions, vol. 16, no. 3, pp. 354–362, 2010. View at Publisher · View at Google Scholar · View at Scopus
12. N. R. Prestopnik and K. Crowston, “Citizen science system assemblages: understanding the technologies that support crowdsourced science,” in Proceedings of the 2012 iConference, pp. 168–176. View at Publisher · View at Google Scholar
13. D. Brossard, B. Lewenstein, and R. Bonney, “Scientific knowledge and attitude change: the impact of a citizen science project,” International Journal of Science Education, vol. 27, no. 9, pp. 1099–1121, 2005. View at Publisher · View at Google Scholar · View at Scopus
14. D. J. Trumbull, R. Bonney, D. Bascom, and A. Cabral, “Thinking scientifically during participation in a citizen-science project,” Science Education, vol. 84, no. 2, pp. 265–275, 2000. View at Scopus
15. A. W. Crall, G. J. Newman, C. S. Jarnevich, T. J. Stohlgren, D. M. Waller, and J. Graham, “Improving and integrating data on invasive species collected by citizen scientists,” Biological Invasions, vol. 12, no. 10, pp. 3419–3428, 2010. View at Publisher · View at Google Scholar · View at Scopus
16. D. M. Aanensen, D. M. Huntley, E. J. Feil, F. Al-Own, and B. G. Spratt, “EpiCollect: linking smartphones to web applications for epidemiology, ecology and community data collection,” PLoS ONE, vol. 4, no. 9, Article ID e6968, 2009. View at Publisher · View at Google Scholar · View at Scopus
17. N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell, “A survey of mobile phone sensing,” IEEE Communications Magazine, vol. 48, no. 9, pp. 140–150, 2010. View at Publisher · View at Google Scholar · View at Scopus
18. S. Matyas, C. Matyas, C. Schlieder, P. Kiefer, H. Mitarai, and M. Kamata, “Designing location-based mobile games with a purpose—collecting geospatial data with cityexplorer,” in Proceedings of the International Conference on Advances in Computer Entertainment Technology (ACE '08), pp. 244–247, ACM, Yokohama, Japan, December 2008. View at Publisher · View at Google Scholar · View at Scopus
19. D. Couvet, F. Jiguet, R. Julliard, H. Levrel, and A. Teyssedre, “Enhancing citizen contributions to biodiversity science and public policy,” Interdisciplinary Science Reviews, vol. 33, no. 1, pp. 95–103, 2008. View at Publisher · View at Google Scholar · View at Scopus
20. S. A. Boudreau and N. D. Yan, “Auditing the accuracy of a volunteer-based surveillance program for an aquatic invader bythotrephes,” Environmental Monitoring and Assessment, vol. 91, no. 1–3, pp. 17–26, 2004. View at Publisher · View at Google Scholar · View at Scopus
21. A. Sheth, “Citizen sensing, social signals, and enriching human experience,” IEEE Internet Computing, vol. 13, no. 4, pp. 87–92, 2009. View at Publisher · View at Google Scholar · View at Scopus
22. D. S. Schmeller, P. Y. Henry, R. Julliard et al., “Advantages of volunteer-based biodiversity monitoring in Europe,” Conservation Biology, vol. 23, no. 2, pp. 307–316, 2009. View at Publisher · View at Google Scholar · View at Scopus
23. A. M. Kitchen-Wheeler, “Visual identification of individual manta ray (Manta alfredi) in the Maldives Islands, Western Indian Ocean,” Marine Biology Research, vol. 6, no. 4, pp. 351–363, 2010. View at Publisher · View at Google Scholar · View at Scopus
24. M. E. Fernandez-Gimenez, H. L. Ballard, and V. E. Sturtevant, “Adaptive management and social learning in collaborative and community-based monitoring: a study of five community-based forestry organizations in the western USA,” Ecology and Society, vol. 13, no. 2, article 4, 2008. View at Scopus
25. D. Penrose and S. M. Call, “Volunteer monitoring of benthic macroinvertebrates: regulatory biologists' perspectives,” Journal of the North American Benthological Society, vol. 14, no. 1, pp. 203–209, 1995. View at Scopus
26. C. Evans, E. Abrams, R. Reitsma, K. Roux, L. Salmonsen, and P. P. Marra, “The Neighborhood Nestwatch program: participant outcomes of a citizen-science ecological research project,” Conservation Biology, vol. 19, no. 3, pp. 589–594, 2005. View at Publisher · View at Google Scholar · View at Scopus
27. Y. Bhattacharjee, “Citizen scientists supplement work of Cornell researchers,” Science, vol. 308, no. 5727, pp. 1402–1403, 2005. View at Publisher · View at Google Scholar · View at Scopus
28. Missouri Stream Team Project, 2011, http://www.mostreamteam.org/.
29. ReClam the Bay, 2005, http://www.reclamthebay.org/.
30. Shermans Creek Conservation Association, 1998.
31. M. J. Raddick, A. S. Szalay, J. Vandenberg, et al., “Galaxy zoo: exploring the motivations of citizen science volunteers,” Astronomy Education Review, vol. 9, no. 1, pp. 010103–010118, 2010.
32. K. Luther, S. Counts, K. B. Stecher, A. Hoff, and P. Johns, “Pathfinder: an online collaboration environment for citizen scientists,” in Proceedings of the 27th International Conference on Human factors in Computing Systems (Chi '09), vol. 1–4, pp. 239–248, 2009. View at Publisher · View at Google Scholar
33. L. S. Fore, K. Paulsen, and K. O'Laughlin, “Assessing the performance of volunteers in monitoring streams,” Freshwater Biology, vol. 46, no. 1, pp. 109–123, 2001. View at Publisher · View at Google Scholar · View at Scopus
34. D. M. Lodge, S. Williams, H. J. MacIsaac et al., “Biological invasions: recommendations for U.S. policy and management,” Ecological Applications, vol. 16, no. 6, pp. 2035–2054, 2006. View at Publisher · View at Google Scholar · View at Scopus
35. R. Lukyanenko, J. Parsons, and Y. Wiersma, “Enhancing citizen science participation in GeoWeb projects through the instance-based data model,” in Proceedings of the Spatial Knowledge and Information, Fernie, Canada, 2011.
36. J. E. Losey, J. E. Perlman, and E. R. Hoebeke, “Citizen scientist rediscovers rare nine-spotted lady beetle, Coccinella novemnotata, in eastern North America,” Journal of Insect Conservation, vol. 11, no. 4, pp. 415–417, 2007. View at Publisher · View at Google Scholar · View at Scopus
37. J. J. D. Greenwood, “Citizens, science and bird conservation,” Journal of Ornithology, vol. 148, no. 1, pp. S77–S124, 2007. View at Publisher · View at Google Scholar · View at Scopus
38. V. Devictor, R. Julliard, D. Couvet, and F. Jiguet, “Birds are tracking climate warming, but not fast enough,” Proceedings of the Royal Society B, vol. 275, no. 1652, pp. 2743–2748, 2008. View at Publisher · View at Google Scholar · View at Scopus
39. A. H. Hurlbert and Z. Liang, “Spatiotemporal variation in avian migration phenology: citizen science reveals effects of climate change,” Plos One, vol. 7, no. 2, Article ID e31662, 2012.
40. S. Altizer, W. M. Hochachka, and A. A. Dhondt, “Seasonal dynamics of mycoplasmal conjunctivitis in eastern North American house finches,” Journal of Animal Ecology, vol. 73, no. 2, pp. 309–322, 2004. View at Publisher · View at Google Scholar · View at Scopus
41. K. V. Rosenberg, J. D. Lowe, and A. A. Dhondt, “Effects of forest fragmentation on breeding tanagers: a continental perspective,” Conservation Biology, vol. 13, no. 3, pp. 568–583, 1999. View at Publisher · View at Google Scholar · View at Scopus
42. W. M. Hochachka, R. Caruana, D. Fink et al., “Data-mining discovery of pattern and process in ecological systems,” Journal of Wildlife Management, vol. 71, no. 7, pp. 2427–2437, 2007. View at Publisher · View at Google Scholar · View at Scopus
43. D. Fink, W. M. Hochachka, B. Zuckerberg et al., “Spatiotemporal exploratory models for broad-scale survey data,” Ecological Applications, vol. 20, no. 8, pp. 2131–2147, 2010. View at Publisher · View at Google Scholar · View at Scopus
44. S. Kelling, W. M. Hochachka, D. Fink et al., “Data-intensive science: a new paradigm for biodiversity studies,” BioScience, vol. 59, no. 7, pp. 613–620, 2009. View at Publisher · View at Google Scholar · View at Scopus
45. E. Howard and A. K. Davis, “The fall migration flyways of monarch butterflies in eastern North America revealed by citizen scientists,” Journal of Insect Conservation, vol. 13, no. 3, pp. 279–286, 2009. View at Publisher · View at Google Scholar · View at Scopus
46. A. K. Davis and E. Howard, “Spring recolonization rate of Monarch butterflies in eastern North America: new estimates from citizen-science data,” Journal of the Lepidopterists' Society, vol. 59, no. 1, pp. 1–5, 2005. View at Scopus
47. B. L. Sullivan, C. L. Wood, M. J. Iliff, R. E. Bonney, D. Fink, and S. Kelling, “eBird: a citizen-based bird observation network in the biological sciences,” Biological Conservation, vol. 142, no. 10, pp. 2282–2292, 2009. View at Publisher · View at Google Scholar · View at Scopus
48. T. O'Reilly, “What is Web 2.0: design patterns and business models for the next generation of software,” International Journal of Digital Economics, no. 65, pp. 17–37, 2007.
49. C. Wood, B. Sullivan, M. Iliff, D. Fink, and S. Kelling, “eBird: engaging birders in science and conservation,” Plos Biology, vol. 9, no. 12, Article ID e1001220, 2011.
50. D. G. Delaney, C. D. Sperling, C. S. Adams, and B. Leung, “Marine invasive species: validation of citizen science and implications for national monitoring networks,” Biological Invasions, vol. 10, no. 1, pp. 117–128, 2008. View at Publisher · View at Google Scholar · View at Scopus
51. J. Bughin, “The rise of enterprise 2.0,” Journal of Direct, Data and Digital Marketing Practice, vol. 9, no. 3, pp. 251–259, 2008. View at Publisher · View at Google Scholar
52. E. Constantinides, C. L. Romero, and M. A. G. Boria, “Social media: a new frontier for retailers?” in European Retail Research, B. Swoboda, D. Morschett, T. Rudolph, P. Schnedlitz, and H. Schramm-Klein, Eds., pp. 1–28, Gabler, 2009.
53. W. G. Mangold and D. J. Faulds, “Social media: the new hybrid element of the promotion mix,” Business Horizons, vol. 52, no. 4, pp. 357–365, 2009. View at Publisher · View at Google Scholar · View at Scopus
54. P. Klemperer, Network Effects and Switching Costs: Two Short Essays for the New Palgrave, Social Science Research Network, 2006.
55. S. J. Liebowitz and S. E. Margolis, “Network externality—an uncommon tragedy,” Journal of Economic Perspectives, vol. 8, no. 2, pp. 133–150, 1994.
56. P. Anderson, What is Web 2.0? Ideas, Technologies and Implications for Education, JISC Technology & Standards Watch, 2007.
57. S. Gaonkar, J. Li, R. R. Choudhury, L. Cox, and A. Schmidt, “Micro-blog: sharing and querying content through mobile phones and social participation,” in Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services (Mobisys'08), pp. 174–186, 2008.
58. Facebook, Statistics, 2011, http://www.facebook.com/press/info.php?statistics.
59. A. Lipsman, The Network Effect: Facebook, Linkedin, Twitter & Tumblr Reach New Height in May, 2011, http://blog.comscore.com/2011/06/facebook_linkedin_twitter_tumblr.html.
60. C. W. Speed, M. G. Meekan, and C. J. A. Bradshaw, “Spot the match—wildlife photo-identification using information theory,” Frontiers in Zoology, vol. 4, article 2, 2007. View at Publisher · View at Google Scholar · View at Scopus
61. Z. Arzoumanian, J. Holmberg, and B. Norman, “An astronomical pattern-matching algorithm for computer-aided identification of whale sharks Rhincodon typus,” Journal of Applied Ecology, vol. 42, no. 6, pp. 999–1011, 2005. View at Publisher · View at Google Scholar · View at Scopus
62. M. J. Kelly, “Computer-aided photograph matching in studies using individual identification: an example from Serengeti cheetahs,” Journal of Mammalogy, vol. 82, no. 2, pp. 440–449, 2001. View at Publisher · View at Google Scholar
63. C. J. R. Anderson, N. Da Vitoria Lobo, J. D. Roth, and J. M. Waterman, “Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns,” Journal of Mammalogy, vol. 91, no. 6, pp. 1350–1359, 2010. View at Publisher · View at Google Scholar · View at Scopus
64. R. Stafford, A. G. Hart, L. Collins et al., “Eu-social science: the role of internet social networks in the collection of bee biodiversity data,” PloS one, vol. 5, no. 12, p. e14381, 2010. View at Scopus
65. M. Ebner and M. Schiefner, “Microbloggging—more than fun?” in Proceedings of the IADIS Mobile Learning Conference, Algarve, Portugal, 2008.
66. M. Ames and M. Naaman, “Why we tag: motivations for annotation in mobile and online media,” in Proceedings of the 25th SIGCHI Conference on Human Factors in Computing Systems (CHI '07), vol. 1-2, pp. 971–980, May 2007. View at Publisher · View at Google Scholar · View at Scopus
67. C. L. Kirkhope, R. L. Williams, C. L. Catlin-Groves, et al., “Social networking for biodiversity: the BeeID project,” in Proceedings of the International Conference on Information Society (i-Society '10), 2010.
68. Y. F. Wiersma, “Birding 2.0: citizen science and effective monitoring in the web 2.0 world,” Avian Conservation and Ecology, vol. 5, no. 2, 2010. View at Scopus
69. E. Paulos, “Designing for doubt: citizen science and the challenge of change,” in Engaging Data: First International Forum on the Application and Management of Personal Electronic Information, MIT, 2009.
70. M. F. Goodchild, “Citizens as sensors: the world of volunteered geography,” GeoJournal, vol. 69, no. 4, pp. 211–221, 2007. View at Publisher · View at Google Scholar · View at Scopus
71. M. F. Goodchild, “Citizens as voluntary sensors: spatial data infrastructures in the world of web 2.0,” Journal of Spatial Data Infrastructures Research, vol. 2, p. 8, 2007.
72. A. Flanagin and M. Metzger, “The credibility of volunteered geographic information,” GeoJournal, vol. 72, no. 3-4, pp. 137–148, 2008. View at Publisher · View at Google Scholar · View at Scopus
73. T. A. Callister Jr., “Media literacy: on-ramp to the literacy of the 21st century or cul-de-sac on the information superhighway,” Advances in Reading/Language Research, vol. 7, p. 17, 2000.
74. D. Lepage and C. M. Francis, “Do feeder counts reliably indicate bird population changes? 21 Years of winter bird counts in Ontario, Canada,” The Condor, vol. 104, no. 2, pp. 255–270, 2002. View at Scopus
75. J. J. Lennon, P. Koleff, J. J. D. Greenwood, and K. J. Gaston, “Contribution of rarity and commonness to patterns of species richness,” Ecology Letters, vol. 7, no. 2, pp. 81–87, 2004. View at Publisher · View at Google Scholar · View at Scopus
76. Y. Bas, V. Devictor, J. P. Moussus, and F. Jiguet, “Accounting for weather and time-of-day parameters when analysing count data from monitoring programs,” Biodiversity and Conservation, vol. 17, no. 14, pp. 3403–3416, 2008. View at Publisher · View at Google Scholar · View at Scopus
77. W. L. Kendall, B. G. Peterjohn, and J. R. Sauer, “First-time observer effects in the North American Breeding Bird Survey,” Auk, vol. 113, no. 4, pp. 823–829, 1996. View at Scopus
78. F. Jiguet, “Method learning caused a first-time observer effect in a newly started breeding bird survey,” Bird Study, vol. 56, no. 2, pp. 253–258, 2009. View at Publisher · View at Google Scholar · View at Scopus
79. J. R. Sauer, B. G. Peterjohn, and W. A. Link, “Observer differences in the North-American Breeding Bird Survey,” Auk, vol. 111, no. 1, pp. 50–62, 1994.
80. R. E. McCaffrey, “Using citizen science in urban bird studies,” Urban Habitats, vol. 3, no. 1, p. 16, 2005.
81. R. Caruana, M. Elhawary, A. Munson et al., “Mining citizen science data to predict prevalence of wild bird species,” in Proceedings if the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '06), pp. 909–915, ACM, Philadelphia, Pa, USA, August 2006. View at Scopus
82. E. Rahm, “Data cleaning: problems and current approaches,” IEEE Data Engineering Bulletin, vol. 23, p. 11, 2000.
83. H. B. Newman, M. H. Ellisman, and J. A. Orcutt, “Data-intensive e-science frontier research,” Communications of the ACM, vol. 46, no. 11, pp. 68–77, 2003. View at Scopus
84. M. J. G. Hopkins, “Modelling the known and unknown plant biodiversity of the Amazon Basin,” Journal of Biogeography, vol. 34, no. 8, pp. 1400–1411, 2007. View at Publisher · View at Google Scholar · View at Scopus
85. C. A. Lepczyk, “Integrating published data and citizen science to describe bird diversity across a landscape,” Journal of Applied Ecology, vol. 42, no. 4, pp. 672–677, 2005. View at Publisher · View at Google Scholar · View at Scopus
86. C. Eraud, J. M. Boutin, D. Roux, and B. Faivre, “Spatial dynamics of an invasive bird species assessed using robust design occupancy analysis: the case of the Eurasian collared dove (Streptopelia decaocto) in France,” Journal of Biogeography, vol. 34, no. 6, pp. 1077–1086, 2007. View at Publisher · View at Google Scholar · View at Scopus
87. B. K. Williams, J. D. Nichols, and M. J. Conroy, Analysis and Management of Animal Populations, Academic Press, London, UK, 2002.
88. P. H. Crowley, “Resampling methods for computation-intensive data analysis in ecology and evolution,” Annual Review of Ecology and Systematics, vol. 23, no. 1, pp. 405–447, 1992. View at Scopus
89. W. A. Link, J. R. Sauer, and D. K. Niven, “A hierarchical model for regional analysis of population change using Christmas Bird Count data, with application to the American Black Duck,” The Condor, vol. 108, no. 1, pp. 13–24, 2006. View at Publisher · View at Google Scholar · View at Scopus
90. S. Reddy, D. Estrin, and M. Srivastava, “Recruitment framework for participatory sensing data collections,” in Proceedings of the 8th International Conference on Pervasive Computing, P. Floréen, A. Krüger, and M. Spasojevic, Eds., pp. 138–155, Springer, Berlin, Germany, 2010.
91. Y. Jun, W. Weng-Keen, and R. A. Hutchinson, “Modeling experts and novices in citizen science data for species distribution modeling,” in Proceedings of the 10th IEEE International Conference on Data Mining (ICDM '10), pp. 1157–1162, December 2010. View at Publisher · View at Google Scholar · View at Scopus
92. P. Cohen and N. Adams, “Intelligent Data Analysis in the 21st Century,” in Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII (IDA '09), N. Adams, C. Robardet, A. Siebes, and J. -F. Boulicaut, Eds., pp. 1–9, Springer, Berlin, Germany, 2009.
93. D. Z. Wang, E. Michelakis, M. N. Garofalakis, and J. M. Hellerstein, “BayesStore: managing large, uncertain data repositories with probabilistic graphical models,” in Proceedings of the VLDB Endowment, vol. 1, no. 1, pp. 340–351, 2008.
94. W. A. Link and J. R. Sauer, “Seasonal components of avian population change: joint analysis of two large-scale monitoring programs,” Ecology, vol. 88, no. 1, pp. 49–55, 2007. View at Publisher · View at Google Scholar · View at Scopus