Data Farming and the Exploration of Inter-Agency, Inter-Disciplinary, and International "What If?" Questions
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Data farming uses simulation modeling, high performance computing, and analysis to examine questions of interest with large possibility spaces.This methodology allows for the examination of whole landscapes of potential outcomes and provides the capability of executing enough experiments so that outlets might be captured and examined for insights. This capability may be quite informative when used to examine the plethora of "What if?" questions that result when examining potential scenarios that our forces may face in the uncertain world of the future. Many of theses scenarios most certainly will be challenging and solutions may depend on interagency and international collaboration as well as the need for inter-disciplinary scientific inquiry preceding these events. In this paper, we describe data farming and illustrate it in the context of application to questions inherent to military decision-making as we consider alternate future scenarios.
SEE ParentDocumentRecord|Ntt=20130008625 "Selected Papers Presented at MODSIM World 2011 Conference and Expo"; p. 27-36; NASA/CP-2012-217326Approved for public release, distribution unlimited
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