The metrology community is tasked with providing a coherent framework in which measurement results can be made interoperable through metrological traceability to an agreed set of standard units. Most technical data used in decision-making is the result of workflows that depend on measurement data, models, algorithms and software, and for such outputs to be trustworthy and used effectively, it is necessary that all elements in the workflow are transparent, principled, explainable and interpretable and can be quality assured. The overall aim of the conference is to provide a multi-disciplinary forum to address how the metrology community can support trustworthy workflows across all scientific and technical disciplines, through
- Extending metrology traceability and uncertainty quantification concepts to encompass complete workflows, from data to decisions
- Using a multidisciplinary approach to address measurement and analysis challenges relating to new measurement modalities and applications
- Understanding better the measurement theory, modelling, statistical and computational requirements in metrology and develop new mathematical and computational tools for measurement and testing.
The conference invites contributions relating to the general themes of
Measurement Theory and Foundations of Measurement Science: concepts, axioms, epistemological foundations, social and ethical aspects, rules, principles, methods, and procedures underlying the obtaining, processing, expression, communication, and interpretation of correct and reliable results of measurements of physical and non-physical quantities, including psychosocial measurements, as well as the assessment of nominal properties.
Mathematical and statistical modelling: data analysis, machine learning and uncertainty quantification, AI in measurement systems and data processing, knowledge representation and reasoning, trustworthiness of data, models, algorithms, and software
Testing, inspection and certification: developing measurement science and best practice applied in industry, environmental protection, healthcare, safety and quality of life.
Measurements in Life Sciences: measurement of whole-body, organ, and cellular function; measurements in the clinical laboratory; medical imaging; medical information systems; diagnosis and medical decision-making; knowledge-based systems; intelligent instrumentation in medicine and healthcare.
