The Human Data Interaction Project

Abstract

This project removes costly bottlenecks from an end-to-end data science endeavor, while efficiently redistributing the endeavors most vital resource human effort. To accomplish this, we first apply structure and systematically to the otherwise ad hoc processes of transforming (1) temporal, relational, and transactional data into features and labels, (2) features and labels into trained models, and (3) models into insights. We establish that structure in a generalizable, intuitive way so as to encourage participation from a broad user base. And, in so doing, our system creates opportunities to automate, optimize, and learn across disparate data science endeavors.

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Document Details

Document Type
Technical Report
Publication Date
Oct 27, 2021
Accession Number
AD1151555

Entities

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Big Data
  • Contracts
  • Data Science
  • Engineering
  • Formal Languages
  • Government Procurement
  • Governments
  • Information Exchange
  • Information Science
  • Machine Learning
  • Massachusetts
  • Personnel Management
  • Predictive Modeling
  • Supervised Machine Learning
  • United States

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Database Systems and Applications
  • Defense Technology Research and Development.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks