Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/19964
Title: Framing an understanding of sociocultural dynamics for civil-military operations
Authors: Whalley, Lucy A.
Myers, Natalie R. D.
Burton, Jennifer L.
Morrison, Dawn A.
Rhodes, Angela M.
Scarborough, Isabel.
Vendrzyk, Judith M.
Zhang, Wenshuo.
Vander-Most, Neil.
Taylor, Keith.
Renn, Duu.
Krooks, David A.
Chawla, Manroop K.
Rewerts, Chris C.
Perkins, Timothy K.
Keywords: Sensemaking
Sociocultural dynamics
Institutional Analysis and Development (IAD) Framework
Methodology
Operating environment
Military Facilities Engineering Technology
Publisher: Construction Engineering Research Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Description: Technical Report
Abstract: To provide continual and accurate characterization of operational environments, Department of Defense intelligence analysts need to understand the strategic and operational implications of sociocultural dynamics. The validity of analysis is highly dependent on a sound basis in social science theory, but such knowledge is difficult for analysts to access rapidly due to the lack of time needed to identify and synthesize such material. To address this problem, the authors developed an analytical framework for conceptualizing instability situations of interest to the Army. To develop a methodology for applying the framework to specific operating environments, the authors compiled an extensive corpus of social science literature to help explain situations of interest to intelligence analysts. For this work, Africa was selected as the hypothetical operating environment. Themes (i.e., factors) related to the formation of insurgency movements there were identified and then implemented as a Factor Map, which organizes and distills the theoretical claims contained in the corpus. The Factor Map is intended to serve as the basis for developing case-specific sensemaking tools, and may be developed for any environment covered by the social science literature. The report concludes with a discussion of the applicability of this product to intelligence sensemaking.
Rights: Approved for public release; distribution is unlimited.
URI: http://hdl.handle.net/11681/19964
Appears in Collections:Technical Report

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