Harandi, M., Crowston, K., Jackson, C. B., & Østerlund, C. (2018). Perceptions of Machine Learning: The genie in the bottle.
Crowston, K., & Squire, M. (2017). Lessons Learned from a Decade of FLOSS Data Collection. In S. A. Matei, N. Jullien, & S. P. Goggins (Eds.), Big Data Factories (pp. 79-100). Springer International Publishing. https://doi.org/10.1007/978-3-319-59186-5
Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., Cabero, M., Crowston, K., Katsaggelos, A., Larson, S., Lee, T. K., Lintott, C., Littenberg, T., Lundgren, A., Oesterlund, C., Smith, J., Trouille, L., & Kalogera, V. (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
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
Wei, K., Crowston, K., Eseryel, Y., & Heckman, R. (2017). Decision-making processes in community-based free/libre open source software development teams: The impact of shared work products. In Syracuse University School of Information Studies.
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. https://doi.org/10.1016/j.im.2016.11.006
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
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
Prestopnik, N., Crowston, K., & Wang, J. (2017). Gamers, citizen scientists, and data: Exploring participant contributions in two games with a purpose. Computers in Human Behavior, 68, 254–268. https://doi.org/10.1016/j.chb.2016.11.035
Crowston, K., Østerlund, C., & Lee, T. K. (2017). Blending machine and human learning processes. In Hawai’i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009