Abstract

Data Farming is a process that has been developed to support decision-makers by answering questions that are not currently addressed. Data farming uses an inter-disciplinary approach that includes modeling and simulation, high performance computing, and statistical analysis to examine questions of interest with a large number of alternatives. Data farming allows for the examination of uncertain events with numerous possible outcomes and provides the capability of executing enough experiments so that both overall and unexpected results may be captured and examined for insights. Harnessing the power of data farming to apply it to our questions is essential to providing support not currently available to decision-makers. This support is critically needed in answering questions inherent in the scenarios we expect to confront in the future as the challenges our forces face become more complex and uncertain. This article was created on the basis of work conducted by Task Group MSG-088 “Data Farming in Support of NATO”, which is being applied in MSG-124 “Developing Actionable Data Farming Decision Support for NATO” of the Science and Technology Organization, North Atlantic Treaty Organization (STO NATO).

Highlights

  • Data Farming is a process that has been developed to support decision-makers by answeringData Farming is a process that has been developed to support decision-makers by answering questions that are not currently addressed

  • Data farming allows for the examination of uncertain events with numerous possible outcomes and provides the capability of executing enough experiments so that both overall and unexpected results may be captured and examined for insights

  • Harnessing the power of data farming to apply it to our questions is essential to providing support not currently available to decision-makers

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Summary

State of the Art in Data Farming

Data Farming is a process that has been developed to support decision-makers by answering questions that are not currently addressed. This article relies heavily on the results of this task group, designated MSG-088 It includes a summary of the six realms of data farming and the two case studies performed during the course of MSG-088. It is a sequential process starting with rapid prototyping and ending with analysis and base. Is essential to provide support not currently available to NATO decision-makers This support is critically needed in answering questions inherent in the scenarios we expect to confront in the future as the challenges our forces face become more complex and uncertain.

Introduction
Distillation Model Development
Design of Experiments
Complete covering and statistical covering the parameter
Analysis and Visualization
Collaboration
10. Force Protection Case Study
A Meta-Technique for Research

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