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30 Jan 2018: We believe that new software tools are pivotal in addressing three core challenges for researchers utilising ML in the built environment. ... 3. Store and display data, models and estimates. The output of this project already facilitated new academic

5 Jul 2018: in the context of existing (and new, if necessary) project and organisational processes.

31 May 2018: Search site. Centre for Digital Built Britain completed its five-year mission and closed its doors at the end of September 2022. This website remains as a legacy of the achievements of our five-year foundational journey towards a digital built

30 Jan 2018: Potential benefits include reduced construction costs and time efficiencies, fewer design clashes and costly reworking on site, greater accuracy in design and build, and fewer defects in new homes.

4 May 2018: The Centre for Digital Built Britain at the University of Cambridge is working with BRE Ltd and the Manufacturing Technology Centre under the name of ‘Transforming Construction Alliance’ to develop a bid for the recently-announced Core

18 Dec 2018: Search site. Centre for Digital Built Britain completed its five-year mission and closed its doors at the end of September 2022. This website remains as a legacy of the achievements of our five-year foundational journey towards a digital built

30 Jan 2018: The project aims to understand the extent to which the UK planning system is engaging with BIM at different spatial scales (e.g., individual building, development scheme, city, region). It explores how the planning system could better help deliver

25 Jan 2018: Search site. Centre for Digital Built Britain completed its five-year mission and closed its doors at the end of September 2022. This website remains as a legacy of the achievements of our five-year foundational journey towards a digital built

9 Feb 2018: Building on four years of material generated by the Cambridge Forum for Sustainability and Environment, this report examines the future use of big data in the built environment. Experts from academia, government and private companies were invited to

11 Jul 2018: screenshot_2020-07-01_at_15.16.53.png Project background This research project has used advanced image processing and computer vision techniques to recreate geospatial viewpoints of some historic, 17th century David Loggan line drawings of