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Saltz, J., Heckman, R., Crowston, K., You, S., & Hegde, Y.. (2019). Helping data science students develop task modularity. Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Retrieved from http://hdl.handle.net/10125/59549
PDF icon modularity-HICSS-final-afterReview.pdf (242.49 KB)
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Crowston, K., & Bolici, F.. (2019). Impacts of machine learning on work. Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Wailea, HI. Retrieved from http://hdl.handle.net/10125/60031
PDF icon Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB)
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Dalgali, A., & Crowston, K.. (2019). Sharing open deep learning models. Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Retrieved from http://hdl.handle.net/10125/59650
PDF icon Hicss paper2018_DalgaliCrowston.pdf (669.11 KB)
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Crowston, K., Mitchell, E. Michelle, & Østerlund, C.. (2018). Coordinating advanced crowd work: Extending citizen science. Hawai'i International Conference on System Sciences. doi:10.24251/HICSS.2018.212
PDF icon Quench to distribute.pdf (710.03 KB)
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Jackson, C. B., Crowston, K., & Østerlund, C.. (2018). Did they login? Patterns of anonymous contributions to online communities. In ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW). doi:10.1145/3274346
PDF icon anonymous-contributions-cameraready.pdf (1.25 MB)
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Jackson, C. B., Crowston, K., Østerlund, C., & Harandi, M.. (2018). Folksonomies to support coordination and coordination of folksonomies. Computer Supported Cooperative Work, 27(3–6), 647–678. doi:10.1007/s10606-018-9327-z
PDF icon ECSCW-Paper-Final.pdf (2.14 MB)
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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. doi:10.1016/j.ijhcs.2017.08.005
PDF icon crowston fagnot to distribute.pdf (3.76 MB)

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