The paper "Digital Twins for Metrology; Metrology for Digital Twins" by Louise Wright and Stuart Davidson explores the integration of digital twins into metrology and the role of metrology in supporting digital twins. Digital twins are models that combine real-world objects with data to provide up-to-date information, aiding in decision-making in fields like structural monitoring and advanced manufacturing. The authors highlight the benefits of using metrology data to update these models, emphasizing the potential for remote monitoring and calibration. They discuss the key features of digital twins, their applications in metrology, and how metrology can support the development and use of digital twins. The paper also delves into the differences between digital twins and virtual metrology, and outlines potential future developments to maximize the benefits of this integration. The authors conclude that digital twins can enhance understanding and prediction of system behavior, while metrology can improve the reliability and accuracy of these models through the use of SI units and traceability.The paper "Digital Twins for Metrology; Metrology for Digital Twins" by Louise Wright and Stuart Davidson explores the integration of digital twins into metrology and the role of metrology in supporting digital twins. Digital twins are models that combine real-world objects with data to provide up-to-date information, aiding in decision-making in fields like structural monitoring and advanced manufacturing. The authors highlight the benefits of using metrology data to update these models, emphasizing the potential for remote monitoring and calibration. They discuss the key features of digital twins, their applications in metrology, and how metrology can support the development and use of digital twins. The paper also delves into the differences between digital twins and virtual metrology, and outlines potential future developments to maximize the benefits of this integration. The authors conclude that digital twins can enhance understanding and prediction of system behavior, while metrology can improve the reliability and accuracy of these models through the use of SI units and traceability.