Saltz, Jeffery, et al. “MIDST: An Enhanced Development Environment That Improves the Maintainability of a Data Science Analysis”. International Journal of Information Systems and Project Management, vol. 8, no. 3, 2020, doi:10.12821/ijispm080301.
Dalgali, Ayse, and Kevin Crowston. “Algorithmic Journalism and Its Impacts on Work”. Computation + Journalism Symposium , (cancelled due to COVID; presented in 2021), 2020, https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf.
Østerlund, Carsten, et al. “Building an Apparatus: Refractive, Reflective and Diffractive Readings of Trace Data”. Journal of the Association for Information Systems, vol. 21, no. 1, 2020, p. Article 10, doi:10.17705/1jais.00590 .
Østerlund, Carsten, et al. Folksonomies in Crowdsourcing Platforms: Three Tensions Associated With the Development of Shared Language in Distributed Groups. 2020.
Crowston, Kevin. “Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers”. 2020. Automation Experience across Domains (AutomationXP20), CHI’20 Workshop, 26 April 2020, Virtual, 2020.
Jackson, Corey, et al. “Teaching Citizen Scientists to Categorize Glitches Using Machine-Learning-Guided Training”. Computers in Human Behavior, vol. 105, 2020, p. 106198, doi:10.1016/j.chb.2019.106198.
Crowston, Kevin, et al. “Coordinating Advanced Crowd Work: Extending Citizen Science”. Citizen Science: Theory and Practice, vol. 4, 2019, pp. 1–12, doi:10.5334/cstp.166.
Østerlund, Carsten, and Kevin Crowston. “Documentation and Access to Knowledge in Online Communities: Know Your Audience and Write Appropriately?”. Journal of the American Society for Information Science and Technology, vol. 70, no. 6, 2019, pp. 619–633, doi:10.1002/asi.24152.
Saltz, Jeffery, et al. “Helping Data Science Students Develop Task Modularity”. Proceedings of the 52nd Hawai’i International Conference on System Sciences (HICSS-52), 2019, doi:10.24251/HICSS.2019.134.