Evaluating MIDST, a system to support stigmergic team coordination

Crowston, K., Saltz, J., Sitaula, N., & Hegde, Y.. (2021). Evaluating MIDST, a system to support stigmergic team coordination. Proceedings Of The Acm On Human-Computer Interaction, 5(CSCW1), Article 36. https://doi.org/10.1145/3449110

Newhouse story about our Future of Work planning grant

Submitted by crowston on Thu, 2021-01-21 09:28

Newhouse has a about our Future of Work planning grant.

GitLab: Work where you want, when you want

Choudhury, P., Crowston, K., Dahlander, L., Minervini, M. S., & Raghuram, S.. (2020). GitLab: Work where you want, when you want. Journal Of Organizational Design, 9(1), 23. https://doi.org/10.1186/s41469-020-00087-8

MIDST: An enhanced development environment that improves the maintainability of a data science analysis

Saltz, J., Crowston, K., Heckman, R., & Hegde, Y.. (2020). MIDST: An enhanced development environment that improves the maintainability of a data science analysis. International Journal Of Information Systems And Project Management, 8(3). https://doi.org/10.12821/ijispm080301

Planning to study automation and the future of news production

We (Kevin Crowston, Jeffrey Nickerson, Lydia Chilton and Keren Henderson) received an NSF Future of Work at the Human-Technology Frontier planning grant (20-26583), "Planning to study automation and the future of news production".

Assessment, Usability, and Sociocultural Impacts of DataONE: A Global Research Data Cyberinfrastructure Initiative

Looking for PhD students

Submitted by crowston on Fri, 2020-10-02 12:09

I am looking for PhD students interested in working on research about the future of work with intelligent machines, as well as the work on the Gravity Spy citizen science project. Please email if you're interested and want to talk more.

Impacts of the Use of Machine Learning on Work Design

Crowston, K., & Bolici, F.. (2020). Impacts of the Use of Machine Learning on Work Design. In 8th International Conference on Human-Agent Interaction. https://doi.org/10.1145/3406499.3415070

Functional and Visionary Leadership in Self-Managing Virtual Teams

Eseryel, Y., Crowston, K., & Heckman, R.. (2021). Functional and Visionary Leadership in Self-Managing Virtual Teams. Group & Organization Management, 46(2), 424–460. https://doi.org/10.1177/1059601120955034

Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers

Crowston, K. (2020). Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers. In Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual. Presented at the Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual, Virtual workshop.

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