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September 23, 2022

MATHMET 2022 Conference: consult the programme

The 2022 edition of the MATHMET conference will be held from 2 to 4 November 2022 in Paris. Organised in the framework of the European Metrology Network (EMN), it brings together applied mathematicians, statisticians and metrologists from all over the world. Discover the programme and register now.

Mathmet 2022 : parution du programme

An event dedicated to the science of measurement

The conference will be held at the Arts et Métiers, in Paris 13ème. It is an event of the European Metrology Network (EMN) for Mathematics and Statistics to promote new analytical and computational approaches in measurement science.

MATHMET provides a forum for applied mathematicians, statisticians and metrologists to present and discuss contemporary methods and challenges in the applications of mathematical models and statistical data analysis to measurement science.

The 2022 edition is organised by LNE in collaboration with Arts et Métiers.

>> More about Mathmet 2022

A rich programme

7 guest speakers, a round table, posters and nearly 50 presentations

Seven guest speakers will give a plenary lecture:

  • Walter BICH (INRIM, Italy)
  • Louise WRIGHT (NPL, UK)
  • Sebastian HEIDENREICH (PTB, Germany)
  • Olaf DÖSSEL (KIT, Germany)
  • Nicolas BOUSQUET (EDF Lab and AI SINCLAIR Laboratory, France)
  • Stephen ELLISON (LGC, UK)
  • Antonio POSSOLO (NIST, USA)

This conference will bring together participants from all over the world who will network in sessions on theoretical and applied science, bringing together experts from related fields of knowledge.

Thus, the presentations are divided into different sessions:

  • Key-comparison and conformity assessment
  • Machine learning and uncertainty
  • Statistical calibration and regression problems
  • Machine learning and applications
  • Meta-Analysis
  • Modelling and inverse problems
  • Measurement uncertainty
  • Uncertainty quantification for computationally expensive model
  • ENBIS special session
  • Virtual measurements and digital twins