TY - JOUR
T1 - Interdisciplinary, cross-sector collaboration in the US Intelligence Community
T2 - lessons learned from past and present efforts
AU - Vogel, Kathleen M.
AU - Tyler, Beverly B.
N1 - Funding Information:
This work was supported by the Laboratory for Analytic Sciences [DO7 Task Order: Collaboration]. This material is based upon work supported in whole or in part with funding from the Laboratory for Analytic Sciences (LAS). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the LAS and/or any agency or entity of the United States Government.
Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2019
Y1 - 2019
N2 - How does one design and sustain interdisciplinary, cross-sector collaboration to improve intelligence results for twenty-first century security threats? This paper will analyse five past and present initiatives designed to create interdisciplinary, cross-sectoral collaboration within different agencies of the US Intelligence Community (IC). We will discuss key features of each effort, their successes and challenges, identify common themes and, propose which collaborative model might be most advantageous for a particular type of project based on project constraints. In so doing, we provide direction for IC leaders seeking to improve academia–industry–intelligence partnerships for future planning on intelligence-funded collaborations.
AB - How does one design and sustain interdisciplinary, cross-sector collaboration to improve intelligence results for twenty-first century security threats? This paper will analyse five past and present initiatives designed to create interdisciplinary, cross-sectoral collaboration within different agencies of the US Intelligence Community (IC). We will discuss key features of each effort, their successes and challenges, identify common themes and, propose which collaborative model might be most advantageous for a particular type of project based on project constraints. In so doing, we provide direction for IC leaders seeking to improve academia–industry–intelligence partnerships for future planning on intelligence-funded collaborations.
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U2 - 10.1080/02684527.2019.1620545
DO - 10.1080/02684527.2019.1620545
M3 - Article
AN - SCOPUS:85067686124
SN - 0268-4527
VL - 34
SP - 851
EP - 880
JO - Intelligence and National Security
JF - Intelligence and National Security
IS - 6
ER -