Mark Enzer is a keen champion of innovation in the context of collaborative delivery models and he is particularly interested in the transformation of the infrastructure industry, including: systems-thinking, digital transformation, connected digital twins, data infrastructure, low-carbon sustainable solutions and the circular economy in the built environment.
As the Head of the National Digital Twin programme within the Centre for Digital Built Britain, Mark is contributing to the leadership of this ambitious programme. As Mott MacDonald’s Chief Technical Officer, Mark is accountable to the Executive Board for technical excellence across the Group. In addition, he is a co-chair of the Construction Leadership Council’s Digital Network and he is the Digital Transformation workstream lead for the Infrastructure Client Group, which represents the UK’s major infrastructure client organisations. Mark was the Lead Author of the Infrastructure Carbon Review, published by HM Treasury.
Mark Enzer, Head of the UK National Digital Twin programme, will deliver an overview of the work program and progress.
Dr. El-Diraby is a Professor at the Dept. of Civil & Mineral Engineering, University of Toronto, Canada. He is also the Coordinator, Ctr for Info. Sys. In Infrastructure & Construction; and the Director of the Intelligent Buildings Digital Twin at the University.
He uses social and semantic network analysis, machine learning and data management tools to explore new horizons in project management. The aim is to use project development and operations as means to empower communities to innovate new sustainable environments.
He serves on serve on several international committees, including:
Member, regulatory Room, buildingSmart International (1/2019-Present)
Chair, metadata subcommittee, Transportation Research Board (2010-2012).
He holds several patents, including: El-Diraby, T. E., Papagelis, M., and Krijinen, T. (2018). “System and methods for online sociotechnical analysis of buildings”.
Presentation: Can IFC (mentality) be the basis of digital twins? No.
Digital twins will not be interoperable BIM-based systems. Digital twins are not just data repositories. They also incorporate descriptive models, which capture the status of a facility; and prescriptive models, which encompass future scenarios. The objective of digital twins is to support decision making, both for technical and business activities. Digital twins will, therefore, rely more on unstructured data analytics (rather than attempting interoperability).
The keynote proposes and shares case studies on the use of “no-model” analytics to support business intelligence services. In this approach, the key objective is to discover knowledge and support knowledge exchange; develop predictive analytics and support decision making. In the proposed definition, the process of digital twining is more important than the digital twin itself, because perpetual learning is the most important objective of digital twins. In fact, the essence of digital twinning is to transfer the building into a platform for innovation and discovery.
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About CIBW 78 - LDAC 2021
The Joint Conference CIBW 78 - LDAC 2021 will take place in Luxembourg on 11-15 October 2021.
Luxembourg Institute of Science and Technology (LIST) 5, Avenue des Hauts-Fourneaux L-4362 Esch-sur-Alzette/Belval Tel: +352 275 888 - 1