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. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4
. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4
. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4
. (2023). 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). A decade of surveys on attitudes to data sharing highlights three factors for achieving open science. Retrieved de LSE Impact of Social Science website: https://blogs.lse.ac.uk/impactofsocialsciences/2023/08/22/a-decade-of-surveys-on-attitudes-to-data-sharing-highlights-three-factors-for-achieving-open-science/
. (2023). 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). 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). Surveys Provide Insight Into Three Factors That Encourage Open Data and Science. Retrieved de Social Science Space website: https://www.socialsciencespace.com/2023/09/surveys-provide-insight-into-three-factors-that-encourage-open-data-and-science/
. (2022). Interdisciplinary collaboration from diverse science teams can produce significant outcomes. Plos One, 17(11). https://doi.org/10.1371/journal.pone.0278043
Interdisciplinary collaboration from diverse science teams can produce significant outcomes.pdf (904.84 KB). (2022). Project archetypes: A blessing and a curse for AI development. In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Copenhagen, Denmark. Retrieved de https://aisel.aisnet.org/icis2022/is_design/is_design/6
icis_archetypes_rev1_v20_zora.pdf (433.37 KB). (2021). 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). 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
CSCW_2020_MIDST_paper_final.pdf (1.42 MB). (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
CSCW_2020_MIDST_paper_final.pdf (1.42 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). 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). Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
Ebel2021_Article_HybridIntelligenceInBusinessNe.pdf (605.72 KB). (2021). Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. In A Computing Community Consortium (CCC) Quadrennial Paper. Retrieved de https://cra.org/ccc/wp-content/uploads/sites/2/2021/03/CCC-TransitionPaperImagine-All-the-People.pdf
. (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). 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). 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). (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
. (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
hicss52a-sub2136-cam-i8-2.pdf (202.19 KB)