Provisional programme under preparation
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Measurement Theory and Foundations of Measurement Science
T1Concepts, 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.
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Testing, inspection and certification
T2Developing measurement science and best practice applied in industry, environmental protection, healthcare, safety and quality of life.
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Measurements in Life Sciences
T3Measurement 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.
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Mathematical and statistical modelling
T4Data analysis, machine learning and uncertainty quantification, AI in measurement systems and data processing, knowledge representation and reasoning, trustworthiness of data, models, algorithms, and software.
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Digitalization
T5Fundamental concepts of measurement science that relate to digitalisation and digital transformation in science, industry, and society: digital representation and use of metrological information, digital transformation in traceability and the quality infrastructure, metrology for digitalisation and digital technologies in industry and science.