• Eseryel, Yeliz, et al. “Functional and Visionary Leadership in Self-Managing Virtual Teams”. 2021. Group & Organization Management, vol. 46, no. 2, 2021, pp. 424–460, doi:10.1177/1059601120955034.
  • Beck, Susanne, et al. “Examining Open Innovation in Science (OIS): What Open Innovation Can and Cannot Offer the Science of Science”. Innovation: Organization & Management, 2021, doi:10.1080/14479338.2021.1999248.
  • Dalgali, Ayse, and Kevin Crowston. The Impacts of Automation on Journalists. 2021.
  • Shanley, Lea A., et al. “Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research”. A Computing Community Consortium (CCC) Quadrennial Paper, Computing Community Consortium (CCC), 2021, https://cra.org/ccc/wp-content/uploads/sites/2/2021/03/CCC-TransitionPaperImagine-All-the-People.pdf.
  • Ebel, Philipp, et al. “Hybrid Intelligence in Business Networks”. 2021. Electronic Markets, 2021, doi:10.1007/s12525-021-00481-4.
  • Soni, S, et al. “Discovering Features in Gravitational-Wave Data through Detector Characterization, Citizen Science and Machine Learning”. Classical and Quantum Gravity, vol. 38, no. 19, 2021, doi:10.1088/1361-6382/ac1ccb.
  • Crowston, Kevin, and Amira Rezgui. “Effects of Stigmergic and Explicit Coordination on Wikipedia Article Quality”. Hawai’i International Conference on System Science, 2020, doi:10.24251/HICSS.2020.287.
  • Choudhury, Prithwiraj, et al. “GitLab: Work Where You Want, When You Want”. Journal of Organizational Design, vol. 9, no. 1, 2020, p. 23, doi:10.1186/s41469-020-00087-8.
  • Dalgali, Ayse, and Kevin Crowston. “Factors Influencing Approval of Wikipedia Bots”. Hawai’i International Conference on System Science, 2020, doi:10.24251/HICSS.2020.018.
  • Crowston, Kevin, et al. “Knowledge Tracing to Model Learning in Online Citizen Science Projects”. IEEE Transactions on Learning Technologies, vol. 13, 2020, pp. 123-34, doi:10.1109/TLT.2019.2936480 .