Digital Twin Workshop Series (DTWS)

About this series

Definitions abound but no commonly accepted platform or format has yet arrived. Yet, the use of Digital Twins to describe systems is on the rise. Can we find common ground to understand Digital Twins in a pervasive context? Can we theorize what constitutes a digital twin in contrast to other technology and is there an advance to describe a system as a digital twin rather than merely an IoT system or similar?

In this workshop series, we apply a very broad scope what is included as a Digital Twin to enable a wide discussion that does not exclude self-​proclaimed Digital Twins a priori. In the broadest terms, we expect a Digital Twin to eventually represent processes in its Physical Twin accurately up to a desired resolution. This allows us to include digital twins of airplane turbines that employ physical simulations in real-​time to predict wear as well as digital twins of cities that aggregate IoT information every few minutes to predict traffic flow. Based on previous theortisations of Digital Twins^1,2, we look for contributions on the physical environment (how data is collected from the Physical Twin), on the data environment (how data is stored and made accessible in a Digital Twin), on the analytical environment (how data is processed in a digital twin), on the virtual environment (how data in the Digital Twin is interacted with by end users through dashboards, GIS, or Extended Reality), and the connection environment (how a digital twin is integrating the different components and providing a consistent experience).