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DEFENSE SCIENCE BOARD | DEPARTMENT OF DEFENSE<br />
highlighted the stewardship of problem definition as a necessary and important element in the<br />
set of capabilities to combat the problem itself.<br />
Scenario based planning approaches can also have shortcomings if not appropriately<br />
implemented. For example, while useful for highlighting specific trade‐offs, a limited set of<br />
scenarios can generally only cover a small subset of the variables that an analyst might want to<br />
explore, thereby artificially narrowing the problem space. Utilizing a wide set of end‐to‐end<br />
scenarios can become cumbersome and difficult to assess systematically. Additionally,<br />
conclusions drawn from a narrowly defined set of specific scenarios can be fragile to “what‐if”<br />
challenges, where the scenario details beyond those explored in the analysis are modulated,<br />
casting uncertainty on the results and raising the risk of invalidation. Scenario authors also run<br />
the risk of fixating on “favorite” scenarios, or those that mirror their own preferences and<br />
biases, which can prevent systematic and objective thinking. Finally, a non‐systematic scenario<br />
approach can exacerbate the problem of mapping scenario details and analysis to a structured<br />
decision methodology.<br />
Rather than utilizing a small set of well‐defined scenarios with the risks and shortcomings noted<br />
above, the Task Force developed a scenario framework that attempts to encompass a large<br />
portion of the potential scenario space in order to address the totality of M&V problem<br />
complexity. A scenario framework for scenario generation<br />
and analysis is desirable primarily because it enables the<br />
examination of a family of scenarios, rather than a small set<br />
of independent and specific scenarios. It also provides a<br />
systematic method for decomposing scenarios into discrete<br />
nodes and linkages, and capturing the interdependencies<br />
between individual scenarios. Finally, it lays the foundation<br />
for a bridging methodology, or systematic mapping between<br />
the problem space and solutions space, that enables<br />
increased traceability between planner objectives and<br />
solution performance.<br />
In constructing an example scenario framework, the study<br />
team began with a simple premise: a scenario is a linear<br />
series of events can be broken down into discrete nodes and<br />
associated linkages, and systematically analyzed, node by<br />
node. Error! Reference source not found. shows a simple<br />
sequence of nodes within the framework to illustrate these<br />
concepts. In this example, the failure of a nation’s NW Figure A‐2 Example Node Sequence<br />
security structure (e.g. compromise of storage site security,<br />
material stolen by an insider) begets an evolution of<br />
subsequent scenario actions. Such a failure could lead to the theft or loss of a weapon from the<br />
custody of a nuclear weapon state. This theft could lead to the transition of a weapon to a non‐<br />
DSB TASK FORCE REPORT Appendix A: Unabridged Description | 81<br />
Nuclear Treaty Monitoring Verification Technologies<br />
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