Expertise in the EMN includes the physical and chemical characteristics renewable gases require to enter existing natural gas grids or to be qualified for energy storage, as well as the quality of hydrogen as a fuel source for long distance transportation.
When modelling and data analysis becomes part of the measuring
Introduction to the European Metrology Network for Mathematics and Statistics
Introduction to the European Metrology Network (EMN) for Mathematics and Statistics
Algorithms based on mathematics and statistics are behind many advanced metrology applications. New and emerging fields in particular can gain a lot by using simulations and data analysis. “Mathematical simulations are still needed for many classical physics applications, where the equations, however, are well defined. Bigger challenges are posed by the demands for new emerging metrology fields and technologies, like medical imaging, or environmental monitoring.” says Markus Bär, acting Chair of the MATHMET network.
Digitalisation is a huge part of the transformation that many industries are now undergoing, increasing the demand for metrological expertise. To meet these challenges efficiently the MATHMET network wants to foster collaboration between scientists in Europe as well as raise their visibility with industry partners. “Generally, the mathematical part is not easy to develop and often it is not accessible to others. We want to change that. The main objective is to have a single reference point for information and services for our stakeholders, like software tools and training courses. With the help of improved modelling and statistics, we can help people how to analyse data better and achieve higher returns for the measurement efforts,” Markus says.