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An Assessment of Selected Divisions of the Information Technology Laboratory at the National Institute of Standards and Technology Fiscal Year 2021 (2021) / Chapter Skim
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5 Crosscutting Conclusions and Recommendations
Pages 31-32

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From page 31...
... and NIST missions, national needs, and the needs of government, industry, and academic stakeholders. Amidst continuing technological and societal changes, there are opportunities for increased collaborations across projects to address common challenges in such areas as artificial intelligence, machine learning, health information technology, data science, and statistical methodology.
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From page 32...
... RECOMMENDATION: To get access to the most modern resources, ITL should seek collaborations with other organizations in the public and private sectors, including other government agencies EFFECTIVENESS OF THE DISSEMINATION OF OUTPUTS Each division disseminates its outputs widely, but the divisions vary in the relative emphasis placed on dissemination vehicles (e.g., publications, workshops, data repositories, standard reference data, and educational programs)
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Key Terms

  • machine learning
  • data science
  • statistical engineering
  • engineering division
  • existing strengths

  • future itl
  • societal changes
  • expertise adequate
  • performed commendably
  • complement existing

  • specific gaps
  • collaboratively addressing
  • improved computing
  • continuing technological
  • statistical methodology

  • dissemination vehicles
  • limits available
  • nist missions
  • overall challenge
  • retirement age

  • highly qualified
  • training sets
  • continuing analysis
  • staffing technical
  • stakeholder communities

  • common challenges
  • support complex
  • retiring staff
  • severe competition
  • permanent workforce


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