Discussion on "Effective interdisciplinary collaboration between statisticians and other subject matter experts"

Anderson-Cook, Lu, and Parker's article offers numerous suggestions for ways statisticians can facilitate effective interdisciplinary collaboration, with particular focus on project teams. Their article comes at a time when the importance of collaboration to support innovation is becoming more...

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Bibliographic Details
Published inQuality engineering Vol. 31; no. 1; pp. 192 - 194
Main Authors Typhina, Eli, Wilson, Alyson
Format Journal Article
LanguageEnglish
Published Milwaukee Taylor & Francis 02.01.2019
Taylor & Francis Ltd
Subjects
Collaboration
Innovations
intelligence community; mutual trust; academic-industry-government; partnership
Interdisciplinary aspects
Online AccessGet full text
ISSN0898-2112
1532-4222
DOI10.1080/08982112.2018.1539233

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Summary:Anderson-Cook, Lu, and Parker's article offers numerous suggestions for ways statisticians can facilitate effective interdisciplinary collaboration, with particular focus on project teams. Their article comes at a time when the importance of collaboration to support innovation is becoming more broadly recognized, bringing with it the inherent challenges of engaging in collaboration. In our discussion, we expand on Anderson-Cook et al.'s insights by describing our experiences working with collaborators from different disciplines and sectors. We contextualize our recommendations with examples of collaborations from our organization, the Laboratory for Analytic Sciences.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0898-2112
1532-4222
DOI:10.1080/08982112.2018.1539233