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Virtual experiments and digital twins are key enabling technologies to achieve and realise European strategic policies devoted to sustainability and digitalisation within the complex framework of Industry 4.0 and the European Green Deal.




Uncertainty evaluation methods

The combination of virtual data and real measurements is crucial for the digitalisation of industry and metrology. One of the aims of the ViDiT project is to specify what is needed in order to evaluate the uncertainty associated with real measurements when using virtual experiments or digital twins, to assess state‑of‑the‑art uncertainty evaluation methods for this purpose, and to carry out their further development.

Validation procedures

The validation of virtual experiments and digital twins is fundamental for their deployment in industry and metrology because it ensures trust in the results that are obtained. In the ViDiT project, differences between calibrated standards, or measurement data obtained with calibrated instruments, and the corresponding data from the virtual counterpart will be analysed by statistical procedures.


The ViDiT project will provide the implementation of uncertainty evaluation methods for virtual experiments and digital twins in an open access software repository including a FAIR dataset to test and apply the methods provided. Furthermore, the methods will be described in a corresponding user’s guide.

Industrial case studies

To ensure the uptake of the developed mathematical and statistical methods and procedures by industry, their practical applicability will be demonstrated in twelve industrial case studies covering six metrological applications: coordinate measurement, optical form measurement, flow measurement, nanoindentation, 3D robotic measurement, electrical measurement.