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Jackson, C. B., Østerlund, C., Maidel, V., Crowston, K., & Mugar, G.. (2016). Which Way Did They Go? Newcomer Movement through the Zooniverse. In 19th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW). https://doi.org/10.1145/2818048.2835197
PDF icon CSCW2016-Roles.pdf (1.38 MB)
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Wiggins, A., & Crowston, K.. (2015). Surveying the citizen science landscape. First Monday, 26(1). https://doi.org/10.5210/fm.v20i1.5520
PDF icon Surveying the citizen science landscape.pdf (50.22 KB)
Crowston, K., & Fagnot, I.. (2018). Stages of motivation for contributing user-generated content: A theory and empirical test. International Journal Of Human-Computer Studies, 109, 89-101. https://doi.org/10.1016/j.ijhcs.2017.08.005
PDF icon crowston fagnot to distribute.pdf (3.76 MB)
Crowston, K. (2010). SoCS: Socially intelligent computing to support citizen science. In Proposal submitted to the NSF SOCS program.
PDF icon NSFmaster.pdf (309.26 KB)
Jackson, C. B., Østerlund, C., Harandi, M., Crowston, K., & Trouille, L.. (2020). Shifting forms of Engagement: Volunteer Learning in Online Citizen Science. Proceedings Of The Acm On Human-Computer Interaction, (CSCW), 36. https://doi.org/10.1145/3392841
PDF icon 3392841.pdf (1.13 MB)
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Lee, T. Kyoung, Crowston, K., Østerlund, C., & Miller, G.. (2017). Recruiting messages matter: Message strategies to attract citizen scientists. In ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). https://doi.org/10.1145/3022198.3026335
PDF icon cpa143-leeA.pdf (127.53 KB)
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Prestopnik, N., & Crowston, K.. (2012). Purposeful gaming & socio-computational systems: A citizen science design case. In Group '12 Conference. Presented at the Group '12 Conference, Sanibel Island, FL, USA.
PDF icon citizensort_cameraready.pdf (946.87 KB)
Crowston, K. (2012). Poster: Socially intelligent computing to support citizen science. Syracuse, NY: Syracuse University School of Information Studies.
PDF icon SOCS CS SOCS PI poster small.pdf (5.75 MB)
Mugar, G., Østerlund, C., Hassman, K. D. V., Crowston, K., & Jackson, C. B.. (2014). Planet Hunters and Seafloor Explorers: Legitimate Peripheral Participation Through Practice Proxies in Online Citizen Science. In 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). https://doi.org/10.1145/2531602.2531721
PDF icon paper_revised copy to post.pdf (3.15 MB)
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Jackson, C. B., Østerlund, C., Mugar, G., Crowston, K., & Hassman, K. D. V.. (2015). Motivations for sustained participation in crowdsourcing: The role of talk in a citizen science case study. In Proceedings of the Forty-eighth Hawai'i International Conference on System Sciences (HICSS-48).
PDF icon Motivation in Talk Submitted_FINAL(Formatted).pdf (615.94 KB)
Crowston, K., & Prestopnik, N.. (2013). Motivation and data quality in a citizen science game: A design science evaluation. In Forty-sixth Hawai'i International Conference on System Sciences (HICSS-46). Presented at the Forty-sixth Hawai'i International Conference on System Sciences (HICSS-46), Wailea, HI.
PDF icon hicss2013citizensort_cameraready.pdf (765.39 KB)
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Zevin, M., Jackson, C. B., Doctor, Z., Wu, Y., Østerlund, C., L. Johnson, C., et al.. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4
Zevin, M., Jackson, C. B., Doctor, Z., Wu, Y., Østerlund, C., L. Johnson, C., et al.. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4
Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea
Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea
Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea

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