First name
Kevin
Last name
Crowston
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
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
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. (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
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
Allen, A., Aragon, C., Becker, C., Carver, J., Chiş, A., Combemale, B., Croucher, M., Crowston, K., Garijo, D., Gehani, A., Goble, C., Haines, R., Hirschfeld, R., Howison, J., Huff, K., Jay, C., Katz, D. S., Kirchner, C., Kuksenok, K., … Vinju, J. (Eds.). (2016). Manifesto on Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). In Dagstuhl Manifestos (Vols. 6, Issue 1). Schloss Dagstuhl – Leibniz Center for Informatics. https://doi.org/10.4230/DagMan.6.1.1
Østerlund, C., Crowston, K., & Jackson, C. (2016). The Hermeneutics of Trace Data: Building an Apparatus.
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.
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
Crowston, K. (2017). Levels of trace data for social and behavioural science research. In S. Matei, S. Goggins, & N. Jullien (Eds.), Big Data Factories: Collaborative Approaches. Springer Nature. https://doi.org/10.1007/978-3-319-59186-5_4