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You, S., Crowston, K., Saltz, J., & Hegde, Y.. (Submitted). An actor-network approach to coordination in Open Source Software 2.0.

Coordination in OSS 2.0 Kevin Upload.pdf (385.28 KB)

Dolata, M., Schwabe, G., & Crowston, K.. (Submitted). Getting your data refinery ready to work: Insights from cognitive application development projects.

Crowston, K., & Bolici, F.. (Submitted). Impacts of Machine Learning on Work Design.

Impact of machine learning on work.pdf (604.31 KB)

Crowston, K., Eseryel, Y., & Heckman, R.. (Submitted). Leadership in Self-Managing Virtual Teams.

leadership to share.pdf (384.77 KB)

Wei, K., Eseryel, Y., & Crowston, K.. (Submitted). Participation in Community-Based Free/Libre Open Source Software Development Tasks: The Impact of Task Characteristics.

decision making to share.pdf (559.3 KB)

Jackson, C. B., Østerlund, C., Harandi, M., Crowston, K., & Trouille, L.. (Submitted). Shifting forms of presence: Volunteer learning in online citizen science.

Shifting_forms_of_Presence.pdf (1.14 MB)

Østerlund, C., Crowston, K., & Jackson, C. B.. (In Press). Building an apparatus: Refractive, reflective and diffractive readings of trace data. Journal Of The Association For Information Systems.

RA-JAIS-17-0130.R3.1_FIN to share.pdf (892.03 KB)

Eseryel, Y., Wei, K., & Crowston, K.. (In Press). Decision-Making Processes in Community-based Free/Libre Open Source Software Development Teams with Internal Governance: An Extension to Decision-Making Theory. Communications Of The Association For Information Systems.

CAIS Journal 2nd Round Resubmission.pdf (845.31 KB)

Crowston, K., Østerlund, C., Lee, T. Kyoung, Jackson, C. B., Harandi, M., Allen, S., et al.. (In Press). Knowledge Tracing to Model Learning in Online Citizen Science Projects. Ieee Transactions On Learning Technologies, 1-12. https://doi.org/10.1109/TLT.2019.2936480

transaction paper final figures in text.pdf (1.39 MB)

Jackson, C., Østerlund, C., Crowston, K., Harandi, M., Allen, S., Bahaadini, S., et al.. (In Press). Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training. Computers In Human Behavior. https://doi.org/10.1016/j.chb.2019.106198

MLGT-preprint.pdf (2.43 MB)

Crowston, K., & Rezgui, A.. (2020). Effects of stigmergic and explicit coordination on Wikipedia article quality. In Hawai'i International Conference on System Science.

Stigmergy_in_Wikipedia_HICSS_2020.pdf (654.41 KB)

Dalgali, A., & Crowston, K.. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai'i International Conference on System Science.

HICSS_WikipediaPaper_3.9.new kc (2).pdf (473.63 KB)

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.

Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB)

Coughlin, S., Bahaadini, S., Rohani, N., Zevin, M., Patane, O., Harandi, M., et al.. (2019). Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning. Physical Review D, 99(8), 082002. https://doi.org/10.1103/PhysRevD.99.082002

Crowston, K., Mitchell, E. Michelle, & Østerlund, C.. (2019). Coordinating Advanced Crowd Work: Extending Citizen Science. Citizen Science: Theory And Practice, 4, 1–12. https://doi.org/10.5334/cstp.166

You, S., Crowston, K., Saltz, J., & Hegde, Y.. (2019). Coordination in OSS 2.0: ANT Approach. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Retrieved de http://hdl.handle.net/10125/59538

hicss52a-sub2136-cam-i8-2.pdf (202.19 KB)

Østerlund, C., & Crowston, K.. (2019). Documentation and Access to Knowledge in Online Communities: Know Your Audience and Write Appropriately?. Journal Of The American Society For Information Science And Technology, 70(6), 619–633. https://doi.org/10.1002/asi.24152

Osterlund-Crowston_2019_Document and access to knowledge in online communities_JASIST.pdf (1.04 MB)

Saltz, J., Heckman, R., Crowston, K., You, S., & Hegde, Y.. (2019). Helping data science students develop task modularity. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Retrieved de http://hdl.handle.net/10125/59549

modularity-HICSS-final-afterReview.pdf (242.49 KB)

Rezgui, A., Crowston, K., & Jullien, N.. (2019). The impact of initial group characteristics on quality in online communities of creation.

The_importance_of_initial_core_member_in_online_communities.pdf (700.97 KB)

Crowston, K., & Bolici, F.. (2019). Impacts of machine learning on work. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Retrieved de http://hdl.handle.net/10125/60031

Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB)

Jackson, C. B., Østerlund, C., Harandi, M., Kharwar, D., & Crowston, K.. (2019). Linguistic Adoption in Online Citizen Science: A Structurational Perspective. In International Conference on Information Systems.

Linguistic Adoption (ICIS) final.pdf (3.07 MB)

Dalgali, A., & Crowston, K.. (2019). Sharing open deep learning models. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Retrieved de http://hdl.handle.net/10125/59650

Hicss paper2018_DalgaliCrowston.pdf (669.11 KB)

Crowston, K., Saltz, J., Rezgui, A., Hegde, Y., & You, S.. (2019). Socio-technical affordances for stigmergic coordination implemented in MIDST, a tool for data-science teams. Proceedings Of The Acm , 3(CSCW), Article 117. https://doi.org/10.1145/3359219

cscw117-crowstonA.pdf (1.02 MB)

Lee, T. Kyoung, Crowston, K., Harandi, M., Østerlund, C., & Miller, G.. (2018). Appealing to different motivations in a message to recruit citizen scientists: results of a field experiment. Journal Of Science Communication, 17. https://doi.org/10.22323/2.17010202

JCOM_1701_2018_A02.pdf (306.9 KB)

Crowston, K., Mitchell, E. Michelle, & Østerlund, C.. (2018). Coordinating advanced crowd work: Extending citizen science. In Hawai'i International Conference on System Sciences (51stst ed.). https://doi.org/10.24251/HICSS.2018.212

Quench to distribute.pdf (710.03 KB)

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