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C

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

s41469-020-00087-8.pdf (1.14 MB)

Crowston, K., & The Gravity Spy Team. (2017). Gravity Spy: Humans, machines and the future of citizen science. In ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). https://doi.org/10.1145/3022198.3026329

cpa137-crowstonA.pdf (1.26 MB)

H

Harandi, M., Crowston, K., Jackson, C., & Østerlund, C.. (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719

Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB)

J

Jackson, C. B., Crowston, K., Mugar, G., & Østerlund, C.. (2016). “Guess what! You’re the first to see this event”: Increasing Contribution to Online Production Communities. In ACM Group. https://doi.org/10.1145/2957276.2957284

P

Prestopnik, N., & Crowston, K.. (2011). Gaming for (citizen) science: Exploring motivation and data quality in the context of crowdsourced science through the design and evaluation of a social-computational system. In “Computing for Citizen Science” workshop at the IEEE eScience Conference. Presented at the “Computing for Citizen Science” workshop at the IEEE eScience Conference, Stockholm, Sweden. Retrieved de http://itee.uq.edu.au/~eresearch/workshops/compcitsci2011/index.html

gamingforcitizenscience_ver6.pdf (217.69 KB)

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

chb2016.pdf (3.74 MB)

R

Roussinov, D., Crowston, K., Nilan, M., Kwaśnik, B. H., Liu, X., & Cai, J.. (2001). Genre based navigation on the Web. In Proceedings of the 34th Hawai'i International Conference on Systems Science (HICSS). https://doi.org/10.1109/HICSS.2001.926478

09814013.pdf (210.61 KB)

S

Scialdone, M. J., Li, N., Howison, J., Heckman, R., & Crowston, K.. (2008). Group Maintenance in Technology-Supported Distributed Teams. In Proceedings of the Best Paper Proceedings, Academy of Management Annual Meeting.

GroupMaintenance.pdf (153.04 KB)

Scialdone, M. J., Heckman, R., & Crowston, K.. (2009). Group Maintenance Behaviours of Core and Peripheral Members of Free/Libre Open Source Software Teams (C. Boldyreff, Crowston, K., Lundell, B., & Wasserman, T., Eds.). In Proceedings of The Fifth International Conference on Open Source Systems (OSS).

34finalmjs.pdf (184.06 KB)

W

Wei, K., Crowston, K., Li, N., & Heckman, R.. (2014). Group maintenance in technology-supported distributed teams. Information & Management, 51(3), 297-309. https://doi.org/10.1016/j.im.2014.02.001

Group_maintenance paper_part I_20140122_final.pdf (1.06 MB)

Wiggins, A., & Crowston, K.. (2012). Goals and tasks: Two typologies of citizen science projects. In Forty-fifth Hawai’i International Conference on System Sciences (HICSS-45).

hicss-45-final.pdf (116.59 KB)

Z

Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (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

Zevin, M., Jackson, C. B., Doctor, Z., Wu, Y., Østerlund, C., L. Johnson, C., et al.. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4