Effective interdisciplinary collaboration between statisticians and other subject matter experts
Progress and innovative solutions to challenging problems often come at the intersection of multiple disciplines. Statisticians frequently are presented with opportunities to participate on or lead interdisciplinary teams, where how well their contributions are received is a function of their effect...
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| Published in | Quality engineering Vol. 31; no. 1; pp. 164 - 176 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Milwaukee
Taylor & Francis
02.01.2019
Taylor & Francis Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0898-2112 1532-4222 1532-4222 |
| DOI | 10.1080/08982112.2018.1530357 |
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| Abstract | Progress and innovative solutions to challenging problems often come at the intersection of multiple disciplines. Statisticians frequently are presented with opportunities to participate on or lead interdisciplinary teams, where how well their contributions are received is a function of their effectiveness as collaborators. In this article, we outline six fundamentals for effective collaboration: respect, shared common goals, trust, commitment, intercommunication, and execution. We focus on how these core aspects of a successful collaboration can be encouraged by statisticians. Through an example, we illustrate how problems can arise when some of the key components are missing and what strategies can be used to mitigate problems. Finally, we describe how early career statisticians can work to improve their collaboration skills to improve their impact on teams with diverse backgrounds. |
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| AbstractList | Progress and innovative solutions to challenging problems often come at the intersection of multiple disciplines. Statisticians frequently are presented with opportunities to participate on or lead interdisciplinary teams, where how well their contributions are received is a function of their effectiveness as collaborators. In this article, we outline six fundamentals for effective collaboration: respect, shared common goals, trust, commitment, intercommunication, and execution. We focus on how these core aspects of a successful collaboration can be encouraged by statisticians. Through an example, we illustrate how problems can arise when some of the key components are missing and what strategies can be used to mitigate problems. Finally, we describe how early career statisticians can work to improve their collaboration skills to improve their impact on teams with diverse backgrounds. |
| Author | Parker, Peter A. Anderson-Cook, Christine M. Lu, Lu |
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| Cites_doi | 10.1006/obhd.1998.2758 10.1080/08982112.2015.1083107 10.1080/0954412988181 10.1080/00031305.1974.10479092 10.1080/08982112.2012.621865 10.1073/pnas.0403723101 10.1177/0149206306298657 10.5711/morj.12.2.25 10.1080/08982112.2013.803574 10.1080/08982112.2013.817013 10.5711/morj.13.3.5 10.1080/08982110903022533 10.1002/asmb.2325 10.1080/00031305.2016.1200491 10.1080/00031305.1989.10475618 10.1002/9781119202721 10.1080/08982112.2012.641150 10.1080/08982112.2012.641151 |
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| SubjectTerms | Collaboration decision-making Interdisciplinary aspects interdisciplinary collaboration problem-solving Statistical engineering team |
| Title | Effective interdisciplinary collaboration between statisticians and other subject matter experts |
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