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2023 Bronze Medal Award

AWARD CITATION

The group is recognized for the development and deployment of an easy-to-use on-line application that allows users to design efficient experiments, including instrument calibration, and to assess measurement uncertainty without in-depth knowledge of statistics. The sophisticated program applies Bayesian algorithms to user-supplied data to yield comprehensive estimates of process uncertainty.  This public-facing tool, named ABACUS (Application for Bayesian Analysis of Chemical quantities Using Shiny), transfers the expertise of NIST metrologists and statisticians to the measurement community.

GROUP AWARD

Michael Nelson

Research Chemist
Material Measurement Laboratory, Chemical Sciences Division

Blaza Toman

Mathematical Statistician
Information Technology Laboratory, Statistical Engineering Division

David Newton

Mathematical Statistician
Information Technology Laboratory, Statistical Engineering Division

Johanna Camara

Research Chemist
Material Measurement Laboratory, Chemical Sciences Division

Lane Sander

Research Chemist
Material Measurement Laboratory, Chemical Sciences Division

Amanda Koepke

Mathematical Statistician
Information Technology Laboratory, Statistical Engineering Division

Katrice Lippa

Supervisory Chemist
Physical Measurement Laboratory Office