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Henderson, K., Raheja, R., & Crowston, K.. (2022). Communicating with the masses from isolation: What happened when local television journalists worked from home. In Hawai'i International Conference on System Sciences. Presented at the Hawai'i International Conference on System Sciences, Virtual due to COVID. https://doi.org/10.24251/HICSS.2022.858
PDF icon Journalists work from home_HICSS Version_Final Submission_Unlinked.pdf (221.34 KB)
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Dolata, M., Crowston, K., & Schwabe, G.. (2022). Project archetypes: A blessing and a curse for AI development. In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Copenhagen, Denmark.
PDF icon icis_archetypes_rev1_v18.pdf (378.77 KB)
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Eseryel, Y., Crowston, K., & Heckman, R.. (2021). Functional and Visionary Leadership in Self-Managing Virtual Teams. Group & Organization Management, 46(2), 424–460. https://doi.org/10.1177/1059601120955034
PDF icon 1059601120955034.pdf (947.47 KB)
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Østerlund, C., Crowston, K., & Jackson, C. B.. (2020). Building an apparatus: Refractive, reflective and diffractive readings of trace data. Journal Of The Association For Information Systems, 21(1), Article 10. https://doi.org/10.17705/1jais.00590
PDF icon RA-JAIS-17-0130.R3.1_FIN to share.pdf (892.03 KB)
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Crowston, K., & Rezgui, A.. (2020). Effects of stigmergic and explicit coordination on Wikipedia article quality. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.287
PDF icon Stigmergy_in_Wikipedia_HICSS_2020.pdf (654.41 KB)
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Dalgali, A., & Crowston, K.. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018
PDF icon HICSS_WikipediaPaper_3.9.new kc (2).pdf (473.63 KB)
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Crowston, K., & Bolici, F.. (2020). Impacts of the Use of Machine Learning on Work Design. In 8th International Conference on Human-Agent Interaction. https://doi.org/10.1145/3406499.3415070
PDF icon Impacts_of_ML_for_HAI_2020.pdf (453.59 KB)
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Crowston, K. (2020). Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers. In Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual. Presented at the Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual, Virtual workshop.
PDF icon Everyday_automation camera ready.pdf (421.84 KB)
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Saltz, J., Crowston, K., Heckman, R., & Hegde, Y.. (2020). MIDST: An enhanced development environment that improves the maintainability of a data science analysis. International Journal Of Information Systems And Project Management, 8(3). https://doi.org/10.12821/ijispm080301
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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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