Support for the ECS Data Sciences Hack Day

Abstract

ARO funding was used to partially support 20 participants, mostly early career scholars, at ECS Data Science Hack events at the 232nd and 233rd meetings of the electrochemical society. Research products include two papers accepted for publication, datasets and software. All research products are in long-lived archives and repositories with associated digital object identifiers.

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Document Details

Document Type
Technical Report
Publication Date
Feb 11, 2019
Accession Number
AD1075183

Entities

People

  • Daniel T. Schwartz

Organizations

  • University of Washington

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Algorithms
  • Best Practices
  • Cloud Computing
  • Communities
  • Data Science
  • Data Visualization
  • Education
  • Genetic Algorithms
  • Image Classification
  • Lithium Ion Batteries
  • Machine Learning
  • Molecular Structure
  • Nanoparticles
  • Standards
  • Storage
  • Students
  • Training

Readers

  • Distributed Systems and Data Platform Development
  • Marine Ecological Systems Migration
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML