2019 journal article
Interdisciplinary, cross-sector collaboration in the US intelligence community: lessons learned from past and present efforts
INTELLIGENCE AND NATIONAL SECURITY, 34(6), 851–880.
TL;DR:
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), and propose which collaborative model might be most advantageous for a particular type of project based on project constraints.
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UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(Web of Science)
Source: Web Of Science
Added: July 22, 2019
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.