Leveraging Machine Learning for Operation Assessment Synopsis

Abstract

This report demonstrates how machine learning (ML) can support assessment of military operations by describing and illustrating the use of ML in systematically extracting assessment-relevant insights from intelligence, operational, and media reporting. This approach can provide the commander with near-real-time insights from these data, often the best source of information on the efficacy of operations, that are objective and statistically relevant.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2022
Accession Number
AD1168243

Entities

People

  • Daniel Egel
  • Jasmin Lveill
  • Linda Robinson
  • Luke Matthews
  • Mary Adgie
  • Ryan Brown

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Department Of Defense
  • Education
  • Extraction
  • Learning
  • Machine Learning
  • Media
  • Military Education
  • Military Operations
  • Military Science
  • Psychology
  • Social Media
  • Standardization
  • Supervised Machine Learning
  • Training

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Joint Military Operations and Doctrine.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks