Vrea project-a digital curator for architecture and digital perspectives for heritage management and enhancement

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Abstract

Thinking about architectural education, one must face the challenges of the ever-changing and digital world and bear in mind the figure of the architect of the future-the curator of digital data. Nowadays the aim is to train specialists who know how to manage the production of digital products and are able to face the challenges of digital change in the field of architecture and architectural heritage management. Virtual Reality Engineering and Game Design for Architecture and Cultural Heritage (VREA) will be a new Master's degree course designed to generate a new professional figure in charge of the technological evolution and at the same time having critical sensitivity towards the architectural heritage, its conservation, and enhancement. These objectives received funding as part of the call of European Erasmus Mundus Design Measures (ERASMUS-EDU-2021-EMJM-DESIGN) for the development of new, innovative, high-level integrated transnational study programmes at the Master level. VREA project aims to create a basis for a new international joint Master level course to create a new generation of architects and engineers equipped with the cultural and technical knowledge for managing Digital Twins in the field of Cultural Heritage, outlining at the same time the future course of study for architects and engineers. The result of the work is an innovative, international and comprehensive programme, strengthening the competences of all project participants and aimed at educating architects and engineers of the future, prepared for the challenges of the 21st century.

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APA

Borucka, J., & Parrinello, S. (2023). Vrea project-a digital curator for architecture and digital perspectives for heritage management and enhancement. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 48, pp. 289–296). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-Archives-XLVIII-M-2-2023-289-2023

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