A Multi-Level Systems Perspective for the Science of Team Science
By Katy Börner, Noshir S. Contractor, Holly J. Falk-Krzesinski, S. Fiore, Kara L. Hall, Joann Keyton, Bonnie Spring, D. Stokols, W. Trochim, Brian Uzzi. Science Translational Medicine, 2010
340 citations recorded by the source corpus.
Understanding how teams function is vital because they are increasingly dominating the production of high-impact science. This Commentary describes recent research progress and professional developments in the study of scientific teamwork, an area of inquiry termed the “science of team science” (SciTS, pronounced “sahyts”). It proposes a systems perspective that incorporates a mixed-methods approach to SciTS that is commensurate with the conceptual, methodological, and translational complexities addressed within the SciTS field. The theoretically grounded and practically useful framework is intended to integrate existing and future lines of SciTS research to facilitate the field’s evolution as it addresses key challenges spanning macro, meso, and micro levels of analysis.
Subfields: Biomedical Engineering, Information Systems and Management, Management of Technology and Innovation
View Paper: https://www.semanticscholar.org/paper/3d8e00b99bba5268bd92861d5c06f04f862904cb
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Citations in the corpus
- How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management (2012, background): “3 An important research agenda focusing on these problems in recent years, is the so-called ‘Science of Team Science’ community (or SciTS, pronounced ‘sahyts’), which has developed ‘an amalgam of conceptual and methodological strategies aimed at understanding and enhancing the outcomes of large-scal”
- Enhancing the Effectiveness of Team Science (2015, background): “As the field’s focus moves beyond individual science teams to higher levels of analysis, it focuses on a variety of organizations and institutions whose mission or goals are to facilitate and sustain effective team science collaboration (Börner et al., 2010; Falk-Krzesinski et al., 2011).”
- Tracking the evolution of waste recycling research using overlay maps of science. (2011, background): “ developed ‘an amalgam of conceptual and methodological strategies aimed at understanding and enhancing the outcomes of large-scale collaborative research and training’ (Stokols et al., 2008. p. S77; Börner et al., 2010). 6 That evaluation of IDR is problematic is not a surprise. Any evaluation need”