Papers

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Conference Paper
Prestopnik, N., & Crowston, K.. (2011). Gaming for (citizen) science: Exploring motivation and data quality in the context of crowdsourced science through the design and evaluation of a social-computational system. In “Computing for Citizen Science” workshop at the IEEE eScience Conference. Presented at the “Computing for Citizen Science” workshop at the IEEE eScience Conference, Stockholm, Sweden. Retrieved de http://itee.uq.edu.au/~eresearch/workshops/compcitsci2011/index.html
PDF icon gamingforcitizenscience_ver6.pdf (217.69 KB)
Conference Proceedings
Harandi, M., Crowston, K., Jackson, C., & Østerlund, C.. (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719
PDF icon Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB)
Roussinov, D., Crowston, K., Nilan, M., Kwaśnik, B. H., Liu, X., & Cai, J.. (2001). Genre based navigation on the Web. In Proceedings of the 34th Hawai'i International Conference on Systems Science (HICSS). https://doi.org/10.1109/HICSS.2001.926478
PDF icon 09814013.pdf (210.61 KB)
Wiggins, A., & Crowston, K.. (2012). Goals and tasks: Two typologies of citizen science projects. In Forty-fifth Hawai’i International Conference on System Sciences (HICSS-45).
PDF icon hicss-45-final.pdf (116.59 KB)
PDF icon 34finalmjs.pdf (184.06 KB)
Scialdone, M. J., Li, N., Howison, J., Heckman, R., & Crowston, K.. (2008). Group Maintenance in Technology-Supported Distributed Teams. In Proceedings of the Best Paper Proceedings, Academy of Management Annual Meeting.
PDF icon GroupMaintenance.pdf (153.04 KB)
Journal Article
Prestopnik, N., Crowston, K., & Wang, J.. (2017). Gamers, citizen scientists, and data: Exploring participant contributions in two games with a purpose. Computers In Human Behavior, 68, 254–268. https://doi.org/10.1016/j.chb.2016.11.035
PDF icon chb2016.pdf (3.74 MB)
Choudhury, P., Crowston, K., Dahlander, L., Minervini, M. S., & Raghuram, S.. (2020). GitLab: Work where you want, when you want. Journal Of Organizational Design, 9(1), 23. https://doi.org/10.1186/s41469-020-00087-8
PDF icon s41469-020-00087-8.pdf (1.14 MB)
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., 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
Wei, K., Crowston, K., Li, N., & Heckman, R.. (2014). Group maintenance in technology-supported distributed teams. Information & Management, 51(3), 297-309. https://doi.org/10.1016/j.im.2014.02.001
PDF icon Group_maintenance paper_part I_20140122_final.pdf (1.06 MB)
Poster
Crowston, K., & The Gravity Spy Team. (2017). Gravity Spy: Humans, machines and the future of citizen science. In ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). https://doi.org/10.1145/3022198.3026329
PDF icon cpa137-crowstonA.pdf (1.26 MB)