Papers
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. (2009). Group Maintenance Behaviours of Core and Peripheral Members of Free/Libre Open Source Software Teams (). In Proceedings of The Fifth International Conference on Open Source Systems (OSS).
34finalmjs.pdf (184.06 KB). (2009). Heartbeat: Measuring Active User Base and Potential User Interest in FLOSS Projects (). In Proceedings of The Fifth International Conference on Open Source Systems (OSS) (pp. 94-104). https://doi.org/10.1007/978-3-642-02032-2%5f10
heartbeat.pdf (326.52 KB). (2009). ICIS 2008 Panel Report: Open Access Publishing to Nurture the Sprouts of Knowledge and the Future of Information Systems Research. In Communications of the Association for Information Systems. https://doi.org/10.17705/1CAIS.02430
ICIS Panel Open Access Publishing.pdf (444.05 KB). (2010). Machine Learning and Rule-Based Automated Coding of Qualitative Data. In American Society for Information Science and Technology (ASIST) Annual Conference.
ml_nlp.pdf (249.71 KB) ASIST poster 2p final.pdf (184.79 KB). (2011). Integrated Customer-Focused Knowledge Portals: Design Challenges and Empirical Approaches. In Academy of Management Conference, OCIS Division. Presented at the Academy of Management Conference, OCIS Division, San Antonio, TX.
14943.pdf (219.46 KB). (2011). Participation in ICT-Enabled Meetings. Journal Of Organizational And End User Computing, 23(2). https://doi.org/10.4018/joeuc.2011040102
JOEUC_to_distribute.pdf (322.68 KB). (2012). Knowledge Portals: Components, Functionalities, and Deployment Challenges. In International Conference on Information Systems.
KP to distribute.pdf (377.44 KB). (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). (2016). Manifesto on Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). In Dagstuhl Manifestos. https://doi.org/10.4230/DagMan.6.1.1
. (2017). Blending machine and human learning processes. In Hawai'i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009
training v3 to share.pdf (245.57 KB). (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
. (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
. (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
. (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
. (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
. (2017). Recruiting messages matter: Message strategies to attract citizen scientists. In ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). https://doi.org/10.1145/3022198.3026335
cpa143-leeA.pdf (127.53 KB). (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). (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
. (2020). 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
transaction paper final figures in text.pdf (1.39 MB). (2020). 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
transaction paper final figures in text.pdf (1.39 MB). (2020). 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
MLGT-preprint.pdf (2.43 MB). (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). Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
Ebel2021_Article_HybridIntelligenceInBusinessNe.pdf (605.72 KB). (2022). Artificial intelligence in information systems: State of the art and research roadmap. Communications Of The Association For Information Systems (Cais), 50. https://doi.org/10.17705/1CAIS.05017
Artificial Intelligence in Information Systems State of the Art.pdf (1 MB)