Papers

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PDF icon Apparatus v2 to distribute.pdf (973.64 KB)
PDF icon 180426 Quench to distribute.pdf (682.69 KB)
PDF icon Coordination_in_OSS_2_0_ANT_Approach.pdf (194.87 KB)
PDF icon anonymous-contributions-impact.pdf (1.44 MB)
PDF icon 180206 Floss Documents new figures.pdf (2.19 MB)
PDF icon Impacts_of_machine_learning_on_work.pdf (300.3 KB)
PDF icon perceptions-machine-learning (1).pdf (1.08 MB)
PDF icon scaffolding-training-machine.pdf (1.06 MB)
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. doi:10.1186/s13174-017-0061-4
PDF icon 170707 JISA final.pdf (259.01 KB)
PDF icon Decision making to distribute.pdf (642.27 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., 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)

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