The heterogeneity and historical complexity of interventions on built heritage are testified by the constant development of the conservation discipline. The purpose of the research is the development of a digital workflow of parametric modelling for the analysis and conservation of historical buildings, by applying visual programming language (VPL) to support the Heritage Building Information Modelling (HBIM) methodology. VPL represents a tool for explicit parametric modelling that can be used to enhance geometric and information enrichment of HBIM models. The paper describes the integration, within an HBIM-VPL process, of the Index of Masonry Quality, widely used for seismic structural analysis, and its application to a case study in Cornillo Nuovo, a village damaged by the earthquake of Amatrice in 2016. Similar approaches could enhance HBIM modelling to support different knowledge domains associated with built heritage.

The challenge of contemporary museums is to make content accessible to a wider audience; in this way information related to the good becomes more communicative and usable in order to enhance its uniqueness. Accessibility goes through an innovative communication of content: the Information and Communication Technologies (ICT) that are increasingly part of people’s daily lives. Communication in most cases occurs visually, so ICTs are increasingly focusing on a rethinking of this expressive form; images become a better support for high-quality data transfer.

This paper describes the technology transfer process involving expertise developed by the University of Camerino and Sapienza University of Rome in the field of timber digitalisation and parametric informative models. The research was applied in collaboration with an Interior Contract company in the Lazio region for the design of a complex wooden architectural element. The adoption of a methodology based on informed digital models, spanning from design to fabrication, enabled a reduction in production waste (-30%) and an optimisation of design and production time (-20%). The case study demonstrates how the synergy between multidisciplinary research expertise and the industrial sector can generate efficient and replicable solutions. From an academic perspective, the experimentation has strengthened the collaboration between universities and industry, fostering the development of transferable know-how for future applications.