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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)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)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)Problems in the use-centered development of a taxonomy of web genres. In , Genres on the Web: Computational Models and Empirical Studies. https://doi.org/10.1007/978-90-481-9178-9
. (2010). 081024 book chapter as submitted.pdf (152.58 KB)Perceived benefits of open data are improving but scientists still lack resources, skills, and rewards. Humanities And Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-01831-7
. (2023). Open Source Technology Development. In , Handbook of Science and Technology Convergence. https://doi.org/10.1007/978-3-319-04033-2_29-1
. (2015). chp%3A10.1007%2F978-3-319-04033-2_29-1.pdf (144.51 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) . (2007). HSD 2007 poster - Small PDF (5.93 MB) SD 2007 poster - Full Adobe PDF (41.76 MB)
. (2006). hsd2006poster (69.42 MB)
Inter-team coordination in large-scale agile development: A test of organizational discontinuity theory. In The Large-Scale Agile Development Workshop, XP Conference. https://doi.org/10.1145/2962695.2962697
. (2016). 160225 XP abstract final v2.pdf (278.01 KB)Identifying document genre to improve web search effectiveness. The Bulletin Of The American Society For Information Science And Technology, 27, 23–26. https://doi.org/10.1002/bult.194
. (2001). How do experienced Information Lens users use rules? ( ). In Proceedings of the Conference on Human Factors in Computing Systems (SIGHI) (pp. 211–216). https://doi.org/10.1145/67449.67491
. (1989). sigchi89 (510.93 KB)How do experienced Information Lens users use rules? ( ). In Proceedings of the Conference on Human Factors in Computing Systems (SIGHI) (pp. 211–216). https://doi.org/10.1145/67449.67491
. (1989). sigchi89 (510.93 KB)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
. (2017). 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)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
. (2001). 09814013.pdf (210.61 KB)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). 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). 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)Editorial: The role of information systems in enabling open innovation. Journal Of The Association For Information Systems , 15(11). https://doi.org/10.17705/1jais.00381
. (2014). 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). 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). Data quality up to the third observing run of Advanced LIGO: Gravity Spy glitch classifications. Classical And Quantum Gravity, 40(6). https://doi.org/10.1088/1361-6382/acb633
. (2023).