A digital twin links several models of computable characteristics of an object and enables the simulation of scenarios of the same. This can be used, for example, to demonstrate the impact of new technologies on local climate, air quality, and health.
Developing a digital twin (or digital shadow) requires access to multiple data sources, efficient data management, and data cleaning. It also requires resources for computationally intensive modeling as well as evaluation processes and (online) feedback on the simulated entity. The ability to share data in a decentralized manner while maintaining data sovereignty is a critical factor in this regard.
Output: By networking a wide range of actors along the data value chain and providing a data infrastructure, the creation of digital twins with sustainable impact should be enabled.
Maturity level: 1 (community in gathering)
Contact DIO Team: DI Stephan Dietrich (firstname.lastname@example.org)
The Green Data Hub’s Data Spaces are each accompanied by a partner organization with domain-specific expertise from research and business: