Francesca Pennecchi

Katy Klauenberg

Nicolas Fischer

Peter Harris

English

Archivio istituzionale della ricerca - INRIM

CONTRIBUTED Special Session: Measurement Uncertainty / 49Measurement Uncertainty: Introducing New Training Mate-rial and a European Teachers’ CommunityAuthors: Katy Klauenberg1; Nicolas Fischer2; Peter Harris3; Francesca Pennecchi41 Physikalisch-Technische Bundesanstalt (PTB) 2 Laboratoire national de métrologie et d’essais LNE3 National Physical Laboratory NPL 4 Istituto Nazionale di Ricerca Metrologica - INRIMCorresponding Author: katy.klauenberg@ptb.deMeasurement uncertainty is a key quality parameter to express the reliability of measure-ments. It is the basis for measurements that are trustworthy and traceable to the SI. Inaddition to scientific research, guidance documents and examples on how to evaluate theuncertainty for measurements, training is an important cornerstone to convey an understandingof uncertainty.In Europe courses on measurement uncertainty are developed and provided by metrologyinstitutes, and also by universities, research institutions, national accreditation bodies, au-thorities in legal metrology, service companies and many more. In 2021 a broad consortiumwas formed to jointly 1) develop new material for measurement uncertainty training and to 2)establish an active community for those involved in measurement uncertainty training. Thisproject-like collaboration is called MU Training. It is an activity hosted by Mathmet, theEuropean Metrology Network for Mathematics and Statistics, and aims to improve the quality,efficiency and dissemination of measurement uncertainty training.This contribution will give an overview on how the activity MU Training advanced the teachingof measurement uncertainty in the past two years. We will describe how an active communitywas established that supports the teachers of measurement uncertainty. In addition, we willdescribe the freely available training material, that was developed for trainees and teachers,and that includes videos as well as overviews about courses, software and examples.Finally, possibilities for future collaboration will be sketched to further increase the under-standing of measurement uncertainty and thus to contributed to more reliable measurementsin Europe.Keywords: education, MU Training, EMN MathmetClassification: Mainly applicationCONTRIBUTED Machine Learning 5 / 50Development of Two Multivariate Methods for the Classi-fication of Tenders and Bids in Public Procurement (Auc-tions)Authors: Alejandro Iván Velasquez Pizarro1; Manuel Zarzo 11 Universidad Politecnica de ValenciaCorresponding Author: alvepi@doctor.upv.esThis work compares two multivariate methods for the classification of tenders (auctions).Outcomes show that both are appropriate and yield good results when the variables areprocessed as (i) categorical data with Multiple Correspondence Analysis (MCA) or (ii)continuous variables by means of Principal Component Analysis (PCA). The Cronbach alphacoefficient determines a reasonable reliability of both methods, it allows to compare them ineach one of the latent variables and to fix those who are the most relevant for dimensionality64

Measurement Uncertainty: Introducing New Training Material and a European Teachers’ Community

https://iris.inrim.it/bitstream/11696/79121/1/MU.pdf

Measurement Uncertainty: Introducing New Training Material and a European Teachers’ Community

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