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This research brief describes work documented in Modeling for Campaign Analysis: Lessons for the Next Generation of Models-Executive Summary (MR-710-AF).

Excerpt: The defense community is investing hundreds of millions of dollars to make computer models more realistic, more comprehensive, and more highly automated. A recent RAND study suggests that this investment may advance computer science but may do little to improve defense analysis. In the first of a set of reports, Modeling for Campaign Analysis: Lessons for the Next Generation of Models, Executive Summary, the authors urge DoD and the Services to balance their investment in models with a concerted effort to make the analytic process more transparent, effective, and open to review and with investments in data development and accessibility. The authors claim that, without these parallel efforts, new models will not fulfill their promise.

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