Monthly Paper Series

Capability Framework and Research Agenda One of the questions the Department for BEIS originally asked CDBB was - “ what do we need to do to build a digital built Britain”? We have since conducted roughly two years of work - with over 90 researchers in six research networks, four consultancy studies and a series of...

Our July Monthly Paper is a working paper by Dr Timea Nochta, Nicole Badstuber and Dr Noura Wahby looking at city digital twins. On the Governance of City Digital Twins – Insights from the Cambridge case study Dr Timea Nochta, Nicole Badstuber and Dr Noura Wahby Centre for Smart Infrastructure and Construction, Department...

The June monthly paper, by Kirsten Lamb, outlines the digital built Britain research landscape by means of a scoping review and gap analysis. This has informed the Capability Framework and Research Landscape work being conducted by CDBB on identifying the research capabilities needed to create a digital built Britain...

Our May Monthly Paper is by James Heaton and Ajith Parlikad looking at a framework for the alignment of infrastructure assets to citizen requirements within a Smart Cities framework.

The Centre for Digital Built Britain (CDBB) is delighted to publish the Roadmap - the next output of the Digital Framework Task Group (DFTG). The Roadmap sets out how the Information Management Framework for the built environment (the ‘Framework’) will be delivered, which in turn will enable the development of the National Digital Twin (NDT).

The March Paper in the CDBB Publication Series is by Andy Neely, who looks at how AR and VR can allow us to build beautiful.

January Paper in the CDBB Publication Series paper by Veronica Martinez and Andy Neely, Audrey Ouyang, University of Cambridge, Caroline Burstall, Caterpillar and Dav Bisessar, International Business Machines Corporation

CDBB has published the first output of its Digital Framework Task Group, The Gemini Principles. The paper sets out proposed principles to guide the national digital twin and the information management framework that will enable it.

November Paper in the CDBB Publication Series paper by Poonam Yadav, Qi Li and Richard Mortier, from the Department of Computer Science & Technology, University of Cambridge

October Monthly Paper - 'A Bayesian Definition of 'Most Probable' Parameters' by Yingyan Jin, Dr Giovanni Biscontin and Prof. Paolo Gardoni