Modern digital technologies are reshaping how the built environment is designed, constructed, and managed. This Reprint gathers eight peer-reviewed contributions that examine this transformation from complementary perspectives, combining theoretical inquiry with applied case studies. The collected works address a broad set of current challenges in the architecture, engineering, construction, and operations domains. Topics include the automated classification of Exchange Information Requirements for construction projects using machine learning, the evolution of convolutional and recurrent neural networks in Building Information Modeling, and a systematic review of deep learning-based visual inspection of concrete bridges. Further contributions explore intuitive and experiential architectural design through the integration of BIM and Virtual Reality, parametric analysis as a tool for hypothesis generation in heritage documentation, epistemic resilience in existing building representation, the adoption of blockchain technology in sustainable construction procurement, and an integrated RACI, AHP, and BIM methodology for conservation-oriented projects with high functional complexity. The Reprint is addressed to researchers, practitioners, and advanced students working in construction informatics, BIM, GIS, artificial intelligence applied to the built environment, facility management, and related fields.

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