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Effects of stigmergic and explicit coordination on Wikipedia article quality. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.287
. (2020). Stigmergy_in_Wikipedia_HICSS_2020.pdf (654.41 KB)Factors Influencing Approval of Wikipedia Bots. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018
. (2020). HICSS_WikipediaPaper_3.9.new kc (2).pdf (473.63 KB)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
. (2020). Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB)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
. (2020). Impacts_of_ML_for_HAI_2020.pdf (453.59 KB)Knowledge Tracing to Model Learning in Online Citizen Science Projects. Ieee Transactions On Learning Technologies, 13, 123-134. https://doi.org/10.1109/TLT.2019.2936480
. (2020). transaction paper final figures in text.pdf (1.39 MB)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.
. (2020). Everyday_automation camera ready.pdf (421.84 KB)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
. (2020). Shifting forms of Engagement: Volunteer Learning in Online Citizen Science. Proceedings Of The Acm On Human-Computer Interaction, (CSCW), 36. https://doi.org/10.1145/3392841
. (2020). 3392841.pdf (1.13 MB)Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training. Computers In Human Behavior, 105, 106198. https://doi.org/10.1016/j.chb.2019.106198
. (2020). MLGT-preprint.pdf (2.43 MB)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
. (2019). Coordinating Advanced Crowd Work: Extending Citizen Science. Citizen Science: Theory And Practice, 4, 1–12. https://doi.org/10.5334/cstp.166
. (2019). Coordination in OSS 2.0: ANT Approach. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.120
. (2019). hicss52a-sub2136-cam-i8-2.pdf (202.19 KB)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
. (2019). Osterlund-Crowston_2019_Document and access to knowledge in online communities_JASIST.pdf (1.04 MB)Helping data science students develop task modularity. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.134
. (2019). modularity-HICSS-final-afterReview.pdf (242.49 KB)Impacts of machine learning on work. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.719
. (2019). Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB)Linguistic adoption in online citizen science: A structurational perspective. In International Conference on Information Systems. Retrieved de https://aisel.aisnet.org /icis2019/crowds_social/crowds_social/28/
. (2019). Linguistic Adoption (ICIS) final.pdf (3.07 MB)Sharing open deep learning models. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.256
. (2019). Hicss paper2018_DalgaliCrowston.pdf (669.11 KB)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
. (2019). cscw117-crowstonA.pdf (1.02 MB)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
. (2018). JCOM_1701_2018_A02.pdf (306.9 KB)Coordinating advanced crowd work: Extending citizen science. In Hawai'i International Conference on System Sciences (51st ed.). https://doi.org/10.24251/HICSS.2018.212
. (2018). Quench to distribute.pdf (710.03 KB)Did they login? Patterns of anonymous contributions to online communities. Proceedings Of The Acm On Human-Computer Interaction, 2(CSCW), Article 77. https://doi.org/10.1145/3274346
. (2018). anonymous-contributions-cameraready.pdf (1.25 MB)Folksonomies to support coordination and coordination of folksonomies. Computer Supported Cooperative Work, 27(3–6), 647–678. https://doi.org/10.1007/s10606-018-9327-z
. (2018). ECSCW-Paper-Final.pdf (2.14 MB)Stages of motivation for contributing user-generated content: A theory and empirical test. International Journal Of Human-Computer Studies, 109, 89-101. https://doi.org/10.1016/j.ijhcs.2017.08.005
. (2018). crowston fagnot to distribute.pdf (3.76 MB)Stigmergic coordination in Wikipedia. In OpenSym. Retrieved de http://www.opensym.org/wp-content/uploads/2018/07/OpenSym2018_paper_34.pdf
. (2018). stigmergic-coordination-wikipedia final.pdf (1.57 MB)