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Article

Interdisciplinary, cross-sector collaboration in the US Intelligence Community: lessons learned from past and present efforts

 

ABSTRACT

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.

Acknowledgements

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.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Laboratory for Analytic Sciences [DO7 Task Order: Collaboration].

Notes on contributors

Kathleen M. Vogel

Kathleen M. Vogel is an associate professor in the School of Public Policy, University of Maryland at College Park. Her research focuses on studying the social and technical dimensions shaping the production of knowledge in intelligence assessments. Her work has kept close engagement between academia, intelligence, and policy.

Beverly B. Tyler

Beverly B. Tyler is Professor in Management, Innovation, and Entrepreneurship and a Poole College of Management Board of Advisors Faculty Scholar at North Carolina State University. She applies behavioral decision theory using cognitive, organizational, and relational lenses to study executive and organizational decision-making, inter-organizational governance and cooperation, as well as multilevel, cross-sector interdisciplinary collaboration focused on developing innovative technology.

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