Seminar: "Trustworthy Measurement for Reproducible Research"

Lectures and seminars

Datum: 2018-05-14
Tid: 15.15 - 16.00

Welcome to the seminar of Antonio Possolo, NIST, on Monday May 14th.

The seminar is a part of MAM seminar: Higher Seminar in Mathematics/Applied Mathematics at The School of Education, Culture and Communication (UKK), Mälardalen University
Title: Trustworthy Measurement for Reproducible Research
Speaker: Antonio Possolo, NIST Fellow and the Chief Statistician for the National Institute of Standards and Technology (NIST)
Antonio Possolo is a guest of Dr. Olha Bodnar, senior lecturer, MAM, UKK, MDH.
Abstract: In a 2014 editorial published in Nature, Marcia McNutt (President, National Academy of Sciences) notes: "Reproducing an experiment is one important approach that scientists use to gain confidence in their conclusions.  Recently, the scientific community was shaken by reports that a troubling proportion of peer-reviewed preclinical studies are not reproducible."
Once recognized best practices in measurement science will become widely adopted throughout the sciences, they will help boost confidence in scientific conclusions, and mitigate the so-called "reproducibility crisis". Those best practices can be subsumed in the concept of trustworthy measurement, which tracks the truth sufficiently closely, with assuredly high confidence.
This presentation explains the meaning of these characteristics that define trustworthy measurement, including a discussion of measurement uncertainty, calibration, traceability, comparability, and consilience. Several concrete examples serve as illustrations, including historical retrospectives on the measurement of the Planck constant and of the speed of light.
Antonio Possolo is a NIST Fellow and the Chief Statistician for the National Institute of Standards and Technology (NIST).
NIST is the national metrology institute of the U.S., responsible for ensuring the inter-comparability of measurements made in all areas of science, engineering, and commerce, nationally and internationally, and for the production of measurement standards. NIST employs about 3000 scientists, engineers, technicians, and support and administrative personnel. NIST scientists have won the Nobel prize in physics on four different occasions, most recently in 2012.  
Antonio holds a Ph.D. in Statistics from Yale University. Besides his current role in government, he has previous experience in industry (General Electric, Boeing), and in academia (Princeton University, University of Washington in Seattle, University of Lisboa).
He is committed to the development and application of probabilistic and statistical methods that contribute to advances in science and technology, and in particular to measurement science.
Antonio is a member of the Commission on Isotopic Abundances and Atomic Weights, of the International Union of Pure and Applied Chemistry. He is also a member of Working Group 1 of the Joint Committees for Guides in Metrology, at the International Bureau of Weights and Measures (Paris, France), responsible for the Guide to the Expression of Uncertainty in Measurement. He chairs the Working Group on Statistics and Uncertainty of the Inter-American System of Metrology.