Papers
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) . (2019). The_importance_of_initial_core_member_in_online_communities.pdf (700.97 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)Algorithmic Journalism and Its Impacts on Work. In Computation + Journalism Symposium. Presented at the Computation + Journalism Symposium . Retrieved de https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf
. (2020). CJ_2020_paper_26.pdf (1.24 MB)Building an apparatus: Refractive, reflective and diffractive readings of trace data. Journal Of The Association For Information Systems, 21(1), Article 10. https://doi.org/10.17705/1jais.00590
. (2020). RA-JAIS-17-0130.R3.1_FIN to share.pdf (892.03 KB)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, (46). https://doi.org/10.17705/1CAIS.04620
. (2020). CAIS Journal 2nd Round Resubmission.pdf (845.31 KB)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)GitLab: Work where you want, when you want. Journal Of Organizational Design, 9(1), 23. https://doi.org/10.1186/s41469-020-00087-8
. (2020). s41469-020-00087-8.pdf (1.14 MB)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)Assessment, Usability, and Sociocultural Impacts of DataONE: A Global Research Data Cyberinfrastructure Initiative. International Journal Of Digital Curation, 16(1). https://doi.org/10.2218/ijdc.v16i1.678
. (2021). Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning. Classical And Quantum Gravity, 38(19). https://doi.org/10.1088/1361-6382/ac1ccb
. (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
. (2021). CSCW_2020_MIDST_paper_final.pdf (1.42 MB)Examining Open Innovation in Science (OIS): What Open Innovation can and cannot offer the science of science. Innovation: Organization & Management. https://doi.org/10.1080/14479338.2021.1999248
. (2021). Functional and Visionary Leadership in Self-Managing Virtual Teams. Group & Organization Management, 46(2), 424–460. https://doi.org/10.1177/1059601120955034
. (2021). 1059601120955034.pdf (947.47 KB)Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
. (2021). Ebel2021_Article_HybridIntelligenceInBusinessNe.pdf (605.72 KB)