EMN for Mathematics and Statistics

Measurement science increasingly relies on new analytical and computational approaches in research. This requires expert knowledge of, and support from, the areas of applied mathematics, statistics, and numerical computation, and state-of-the-art computational tools.

To provide this expertise, particularly in addressing modern challenges such as energy and sustainability, climate and environmental monitoring, health, and artificial intelligence, it is necessary to take a pan-European collaborative approach between industry, stakeholder organisations, and academia.

The European Metrology Network (EMN) for Mathematics and Statistics is a central reference point that addresses the need for integration between measurement science and mathematical and statistical methods. By providing a website, guides, recommended software, support and collaboration in scientific projects, and workshop and training materials, the EMN for Mathematics and Statistics aims to both grow and support the field of mathematical and statistical applications for measurement science in Europe.

This single focal point for best practice in mathematics and statistics in metrology will help to ensure robust and cutting-edge measurement science for the future, as well as the highest scientific excellence in European industry.

The EMN Mathmet has parts of its origin in the 'European Centre for Mathematics and Statistics in Metrology'. Please find detailed information including Mathmet related research and projects on https://mathmet.org

EMN Chair

Markus Bär, PTB, Germany

Mathmet News

See all EURAMET news
EMPIR project to present conformance-testing software tool at MATHMET Workshop
12-11-19
MATHMET International Workshop in Lisbon, Portugal on 20 – 22 November 2019
Markus Bär (PTB) elected as first Chair of EMN for Mathematics and Statistics
02-09-19
At its first general meeting, the European Metrology Network (EMN) for Mathematics and Statistics (MATHMET) elected Markus Bär (PTB) as its first ever...
When modelling and data analysis becomes part of the measuring
05-06-19
Introduction to the European Metrology Network for Mathematics and Statistics