Papers

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2019
You, S., Crowston, K., Saltz, J., & Hegde, Y.. (2019). Coordination in OSS 2.0: ANT Approach. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.120
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. 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)
PDF icon cscw117-crowstonA.pdf (1.02 MB)
2017
Curty, R. G., Crowston, K., Specht, A., Grant, B., & Walton, E. D.. (2017). Attitudes and norms affecting scientists’ data reuse. Plos One, 12(12). https://doi.org/10.1371/journal.pone.0189288
PDF icon PONE to share.pdf (1.19 MB)
Saltz, J., Shamshurin, I., & Crowston, K.. (2017). Comparing data science project management methodologies via a controlled experiment. In Hawai'i International Conference on System Sciences (HICSS-50). https://doi.org/10.24251/HICSS.2017.120
Saltz, J., Shamshurin, I., & Crowston, K.. (2017). Comparing data science project management methodologies via a controlled experiment. In Hawai'i International Conference on System Sciences (HICSS-50). https://doi.org/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). https://doi.org/10.1186/s13174-017-0061-4
PDF icon 170707 JISA final.pdf (259.01 KB)
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., & Squire, M.. (2017). Lessons Learned from a Decade of FLOSS Data Collection. In S. Adam Matei, Jullien, N., & Goggins, S. P. (Eds.), Big Data Factories (pp. 79 - 100). https://doi.org/10.1007/978-3-319-59186-5
2016
Katzy, B., Sung, G., & Crowston, K.. (2016). Alignment in an inter-organisational network: the case of ARC transistance. European Journal Of Information Systems, 25(6), 553–568. https://doi.org/10.1057/ejis.2016.9
Crowston, K., & Shamshurin, I.. (2016). Core-Periphery Communication and the Success of Free/Libre Open Source Software Projects. In IFIP International Conference on Open Source Systems (45–56). https://doi.org/10.1007/978-3-319-39225-7_4
PDF icon OSS2016.pdf (124.64 KB)
2013
Prestopnik, N., & Souid, D.. (2013). Forgotten island: A story-driven citizen science adventure (W. E. Mackay, Brewster, S., & Bødker, S., Trans.). In CHI '13 Extended Abstracts on Human Factors in Computing Systems (2643–2646). https://doi.org/10.1145/2468356.2479484
2012
Misiolek, N., Crowston, K., & Seymour, J.. (2012). Team dynamics in long-standing technology-supported virtual teams. In Academy of Management Annual Meeting, Organizational Behaviour Division. Presented at the Academy of Management Annual Meeting, Organizational Behaviour Division, Boston, MA.
PDF icon ACADEMY PAPER FINAL.pdf (452.2 KB)
2011
Wiggins, A., Newman, G., Stevenson, R. D., & Crowston, K.. (2011). Mechanisms for Data Quality and Validation in Citizen Science. In "Computing for Citizen Science" workshop at the IEEE eScience Conference. Presented at the "Computing for Citizen Science" workshop at the IEEE eScience Conference, Stockholm, Sweden. Retrieved de http://itee.uq.edu.au/~eresearch/workshops/compcitsci2011/index.html
PDF icon PID2090593.pdf (125.17 KB)
2010
Crowston, K., Kwaśnik, B. H., & Rubleske, J.. (2010). Problems in the use-centered development of a taxonomy of web genres. In A. Mehler, Sharoff, S., & Santini, M. (Eds.), Genres on the Web: Computational Models and Empirical Studies. https://doi.org/10.1007/978-90-481-9178-9
PDF icon 081024 book chapter as submitted.pdf (152.58 KB)
Crowston, K., Kwaśnik, B. H., & Rubleske, J.. (2010). Problems in the use-centered development of a taxonomy of web genres. In A. Mehler, Sharoff, S., & Santini, M. (Eds.), Genres on the Web: Computational Models and Empirical Studies. https://doi.org/10.1007/978-90-481-9178-9
PDF icon 081024 book chapter as submitted.pdf (152.58 KB)

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