Papers

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2017
PDF icon PONE to share.pdf (1.19 MB)
Crowston, K., Østerlund, C., & Lee, T. Kyoung. (2017). Blending machine and human learning processes. Hawai'i International Conference on System Sciences. doi:10.24251/HICSS.2017.009
PDF icon training v3 to share.pdf (245.57 KB)
Saltz, J., Shamshurin, I., & Crowston, K.. (2017). Comparing data science project management methodologies via a controlled experiment. Hawai'i International Conference on System Sciences (HICSS-50). doi:10.24251/HICSS.2017.120
Crowston, K., & Shamshurin, I.. (2017). Core-periphery communication and the success of free/libre open source software projects. Journal of Internet Services and Applications, 8(10). doi:10.1186/s13174-017-0061-4
PDF icon 170707 JISA final.pdf (259.01 KB)
PDF icon chb2016.pdf (3.74 MB)
Crowston, K., & ,. (2017). Gravity Spy: Humans, machines and the future of citizen science. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). Portland, OR. doi:10.1145/3022198.3026329
PDF icon cpa137-crowstonA.pdf (1.26 MB)
Crowston, K. (2017). Levels of trace data for social and behavioural science research. In S. Matei, Goggins, S., & Jullien, N. (Eds.), Big Data Factories: Collaborative Approaches. Springer Nature. doi:10.1007/978-3-319-59186-5_4
PDF icon 160529 levels book chapter.pdf (160.85 KB)
Jarrahi, M. Hossein, Crowston, K., Bondar, K., & Katzy, B.. (2017). A pragmatic approach to managing enterprise IT infrastructures in the era of consumerization and individualization of IT. International Journal of Information Management, 37(6), 566-575. doi:10.1016/j.ijinfomgt.2017.05.016
PDF icon Jarrahi et al (2017) A pragmatic approach to managing enterprise IT infrastructures in the era of consumerization and individualization of IT.pdf (333 KB)
Qin, J., Crowston, K., & Kirkland, A.. (2017). Pursuing best performance in research data management by using the Capability Maturity Model and rubrics. Journal of eScience Librarianship, 6(2), e1113. doi:10.7191/jeslib.2017.1113
PDF icon CMM paper to distribute.pdf (286.98 KB)
Lee, T. Kyoung, Crowston, K., Østerlund, C., & Miller, G.. (2017). Recruiting messages matter: Message strategies to attract citizen scientists. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). Portland, OR. doi:10.1145/3022198.3026335
PDF icon cpa143-leeA.pdf (127.53 KB)
Wei, K., Crowston, K., Eseryel, Y., & Heckman, R.. (2017). Roles and politeness behavior in community-based Free/Libre Open Source Software development. Information and Management, 54(5), 573-582. doi:10.1016/j.im.2016.11.006
PDF icon Group_maintenance paper to share.pdf (462.28 KB)
PDF icon Stigmergy theory paper to share.pdf (261.44 KB)
2018
PDF icon JCOM_1701_2018_A02.pdf (306.9 KB)
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)
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)
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)
PDF icon perceptions-machine-learning.pdf (155.52 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. doi:10.1016/j.ijhcs.2017.08.005
PDF icon crowston fagnot to distribute.pdf (3.76 MB)
PDF icon stigmergic-coordination-wikipedia final.pdf (1.57 MB)
2019
You, S., Crowston, K., Saltz, J., & Hegde, Y.. (2019). Coordination in OSS 2.0: ANT Approach. Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Retrieved from http://hdl.handle.net/10125/59538
PDF icon hicss52a-sub2136-cam-i8-2.pdf (202.19 KB)
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)
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)
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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