Metrics for Systems Thinking in the Human Dimension

Abstract

The purpose of this memorandum is to provide documentation of research by the University of Virginia in collaboration with TRADOC Analysis Center, Monterey (TRAC-MTRY). This research is focused on methods of analyzing a large corpus of journal length, or longer, documents to quickly characterize the corpus and to find documents most associated with a target set of text. The projects central purpose is to identifying Systems Thinking within a large corpus of documents and measure the extent to which systems thinking is occurring within the domain specified by the breadth of documents included in the corpus. However, our method of document analysis may be useful in assisting analysts in conducting research literature reviews of large amounts of documents by targeting the most specific documents related to the research the analyst is attempting to conduct. Our method may also have other areas of ell as several other applications. The UVA final report, which is included as an attachment, shows the body of the work conducted.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2016
Accession Number
AD1027543

Entities

People

  • Casey Connors
  • Ryan C. Boyer
  • William Scherer

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Science
  • Computer Languages
  • Data Science
  • Generative Models
  • Information Processing
  • Information Science
  • Machine Learning
  • Natural Language Processing
  • Operating Systems
  • Operations Research
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Systems Engineering
  • Thinking

Readers

  • Computational Linguistics
  • Military Training and Readiness Simulation
  • Systems Analysis and Design