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stigmergy-short.pdf (121.04 KB). (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/
. (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/
. (2016). Manifesto on Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). In Dagstuhl Manifestos. Wadern, Germany: Schloss Dagstuhl – Leibniz Center for Informatics.
. (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
. (2017). Work features to support stigmergic coordination in distributed teams. In Academy of Management Annual Meeting.
Stigmergy theory paper to share.pdf (261.44 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). (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). (1999). Tools for inventing organizations: Toward a handbook of organizational processes. Management Science, 45(3), 425–443. https://doi.org/10.1287/mnsc.45.3.425
ms99 (3.09 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). (2016). Stigmergic coordination in FLOSS development teams: Integrating explicit and implicit mechanisms. Cognitive Systems Research, 38, 14–22. https://doi.org/10.1016/j.cogsys.2015.12.003
COGSYS-RS-(HHS)-(2015)-(3).pdf (218.8 KB). (2017). A pragmatic approach to managing enterprise IT infrastructures in the era of consumerization and individualization of IT. International Journal Of Information Management, 37(6), 566-575. https://doi.org/10.1016/j.ijinfomgt.2017.05.016
Jarrahi et al (2017) A pragmatic approach to managing enterprise IT infrastructures in the era of consumerization and individualization of IT.pdf (333 KB). (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
. (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). (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
. (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
. (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). 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). 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