The Technical University of Munich (TUM), established in 1868 and located in Germany, operates within the education sector, specifically as a higher education institution. With an employee size ranging from 201 to 500, TUM is involved in various research initiatives and academic programs. A recent research article from TUM discusses the development of a probabilistic digital twin (PDT) framework specifically designed for geotechnical design and construction. This framework aims to address the uncertainties inherent in architecture, engineering, and construction projects by integrating various sources of uncertainty, including aleatoric and model uncertainties. The research highlights the application of Bayesian methods for model updating, enabling the framework to adapt to site-specific conditions as additional information becomes available. TUM's focus on advanced methodologies in the built environment underscores its commitment to addressing contemporary challenges in engineering and construction through innovative research and education.