MODSQUAD, The Purdue Data-Driven Discovery of Models Team

Abstract

Our team consisted of both Statistics and Software Design experts. Our involvement in the DARPA Data-Driven Discovery of Models (D3M) program included developing a TA3 system, which we entitled ModSquad, participating in joint standards design meetings, presenting at the project workshops on a variety of topics, and investigating the TERRA-REF datasets and challenge problems, resulting in an interactive data exploration and model fitting interactive interface for several TERRA-REF datasets, and finally culminating with an analysis of state-of-the-art atmospheric research data. We feel that we accomplished the tasks assigned to our team to the benefit of the overall program and provided a high return on investment for DARPA, AFRL, and the D3M program leadership.

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Document Details

Document Type
Technical Report
Publication Date
Sep 17, 2021
Accession Number
AD1147964

Entities

People

  • Curtis Lisle
  • Jeffrey Baumes
  • Roni Choudhury
  • Ryan Hafen
  • Wen-wen Tung
  • William Cleveland

Organizations

  • Purdue University

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Anomaly Detection
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Detection
  • Domain Specific Programming Languages
  • Engineering
  • Environment
  • Governments
  • Information Science
  • Lessons Learned
  • Machine Learning
  • Neural Networks
  • Predictive Modeling
  • Software Development
  • Standards
  • Statistics
  • United States
  • User Interface
  • Visualizations
  • Water Vapor

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Technical Research and Report Writing.