MATHMET

The European Centre for
Mathematics and Statistics in Metrology

Mathematics and statistics: A key element for the 2017 EMPIR project proposals

Just recently, EURAMET published the list of selected research topics (SRTs) based on which until 2nd October applications for joint research projects (JRPs) can be submitted. As in the years before, at the core of a large number of the SRTs the development of mathematical and statistical methods and tools will be required in order derive actual conclusions from the measured data.
The European Metrology Programme for Innovation and Research (EMPIR) is a co-funded initiative by the European Union's Horizon 2020 research and innovation programme and the EMPIR participating states. For 2017 the initiative has open calls for Industry, Fundamental, Normative, Research Potential and Support for Impact. Just recently, EURAMET published the list of selected research topics (SRTs) based on which until 2nd October applications for joint research projects (JRPs) can be submitted. Interested parties can register themselves at the EURAMET website: msu.euramet.org/calls.html

As in the years before, at the core of a large number of the SRTs the development of mathematical and statistical methods and tools will be required in order derive actual conclusions from the measured data. MATHMET members will be particularly involved in the development of such tools for the SRTs
  • SRT-f01 (Call Fundamentals) “Large-scale statistical analysis and computation for metrology.
  • SRT-i16 (Call Industry) "Metrology for the Factory of the Future" (Call Industry)
  • SRT-n02 (Call Normative) “Advancing measurement uncertainty – comprehensive examples for key international standards”

SRT-f01 aims at the development of mathematical and statistical data analysis methods which scale well with the dimensionality of the quantity of interest. This is of great importance for medical imaging, inverse problems in nanometrology, optical form metrology, macroscopic flow measurements and many more. Therefore, data analysis methods and computational tools for large-scale data will be developed together with corresponding methodologies for uncertainty quantification in large-scale systems and networks.
SRT-i16 aims at the development of a coherent framework to bring metrology into era of smart and inter-connected industrial manufacturing environments. Starting from the calibration of individual smart sensors with built-in “smart traceability” pre-processing, the application of sensor network metrology to networks of smart sensors taking into account for data and communication quality issues, and based on the quantitative assessment of the reliability and applicability of existing machine learning approaches the aim is to bridge the gap between “traditional” metrology and the factory of the future.
SRT-n02 aims at improving the state of the art in uncertainty evaluation, focusing on supporting principal guides for the evaluation of uncertainty developed by the JCGM. Comprehensive and fully worked examples from actual practical experiments provide best-practice guidance for the evaluation and propagation of measurement uncertainty.

The role of MATHMET in these research projects will be as a facilitator for the coordination of the required mathematical and statistical research and for the dissemination of the project outcomes. MATHMET Members will use their excellent collaboration network to maximize the efficiency of their research activities.
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