Papers

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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)
Crowston, K., & Bolici, F.. (2019). Impacts of machine learning on work. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.719
PDF icon Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB)
Wei, K., & Crowston, K.. (2010). The impact of national culture on knowledge sharing in global virtual collaboration. In Proceedings of International Conference on Information Systems (ICIS). Presented at the Proceedings of International Conference on Information Systems (ICIS), St. Louis, MO, USA.
PDF icon The_importance_of_initial_core_member_in_online_communities.pdf (700.97 KB)
Kwaśnik, B. H., Crowston, K., Nilan, M., & Roussinov, D.. (2001). Identifying document genre to improve web search effectiveness. The Bulletin Of The American Society For Information Science And Technology, 27, 23–26. https://doi.org/10.1002/bult.194
Sawyer, S., Crowston, K., & Wigand, R.. (1999). ICT in the real estate industry: Agents and social capital. In Proceedings of the Advances In Social Informatics And Information Systems Track, Americas Conference on Information Systems.
PDF icon ICT in the real estate industry Agents and social capital.pdf (55.37 KB)
PDF icon ICIS Panel Open Access Publishing.pdf (444.05 KB)
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Ebel, P., Söllner, M., Leimeister, J. Marco, Crowston, K., & de Vreede, G. - J.. (2021). Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
PDF icon Ebel2021_Article_HybridIntelligenceInBusinessNe.pdf (605.72 KB)
PDF icon How to write a collaboration plan _Working Draft 2014_1122.pdf (140.27 KB)
PDF icon 00RIP21 (111.66 KB)
Mackay, W. E., Malone, T. W., Crowston, K., Rao, R., Rosenblitt, D., & Card, S. K.. (1989). How do experienced Information Lens users use rules? (K. Bice & Lewis, C., Eds.). In Proceedings of the Conference on Human Factors in Computing Systems (SIGHI) (pp. 211–216). https://doi.org/10.1145/67449.67491
PDF icon sigchi89 (510.93 KB)
PDF icon HierarchyAndCentralization.pdf (566.38 KB)
Østerlund, C., Crowston, K., & Jackson, C.. (2016). The Hermeneutics of Trace Data: Building an Apparatus. In IFIP Working Group 8.2 Working Conference.
PDF icon Crowston_Osterlund_Jackson_Mugar_The_Hermeneutics_of_Trace_Data_IFIP8.2_2016 to distribute.pdf (205.13 KB)
Saltz, J., Heckman, R., Crowston, K., You, S., & Hegde, Y.. (2019). Helping data science students develop task modularity. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.134
PDF icon modularity-HICSS-final-afterReview.pdf (242.49 KB)
Wiggins, A., Howison, J., & Crowston, K.. (2009). Heartbeat: Measuring Active User Base and Potential User Interest in FLOSS Projects (C. Boldyreff, Crowston, K., Lundell, B., & Wasserman, T., Eds.). In Proceedings of The Fifth International Conference on Open Source Systems (OSS) (pp. 94-104). https://doi.org/10.1007/978-3-642-02032-2%5f10
PDF icon heartbeat.pdf (326.52 KB)
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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)
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)
PDF icon 34finalmjs.pdf (184.06 KB)
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
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)
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)

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