DARPA Data-driven Discovery of Models - A Summary of Parenthetic's Work and Activities

Abstract

On the DARPA Data-Driven Discovery of Models (D3M) program, Parenthetic evaluated the ability of various software systems which aimed to empower users with little to no data science background in creating empirical models of real, complex processes. Parenthetic developed an evaluation framework in which the systems were assessed across a number of key areas such as Explainability and Meaningfulness to ensure that users were not only able to create their own data-driven models, but were able to understand their models outputs as well. In the final phases of the program, Parenthetic facilitated transition activities including information exchanges and technology demonstrations with several United States Government agencies.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2021
Accession Number
AD1154902

Entities

People

  • Catherine Chapman
  • Michael Liang
  • Reva Schwartz

Tags

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Basic Training
  • Data Analysis
  • Data Science
  • Data Visualization
  • Government Procurement
  • Governments
  • Information Exchange
  • Information Science
  • Institutional Review Board
  • Jet Propulsion
  • Learning
  • Lessons Learned
  • Machine Learning
  • Models
  • Organizational Structure
  • Predictive Modeling
  • Reliability
  • Students
  • Systems Engineering
  • Test And Evaluation
  • Test Methods
  • Training
  • User Interface

Fields of Study

  • Computer science

Readers

  • Data Mining and Knowledge Discovery.
  • Defense Technology Research and Development.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML