Jennifer Whyte, University of Sydney
Abstract:
Infrastructure projects are interventions into wider systems. This talk will draw on my recent work on systems integration, configuration management and handover in large infrastructure projects, and on work with the UK‘s national data science and AI institute, the Alan Turing Institute, through the Data Centric Engineering Program (co-sponsored by Lloyds Register Foundation). It will describe the importance of collaborative visualization of modelling, and work to develop a Construction Production Control Room (like the NASA mission control room), to enable shared insight. I will end by describing my new research agenda around project leadership and would be pleased to explore opportunities for collaboration.
Bio:
Jennifer Whyte is Director of the John Grill Institute for Project Leadership and Head of School of Project Management, in the Faculty of Engineering at the University of Sydney (2021-). She brings substantial research leadership experience previously directing two Centres, leading interdisciplinary research teams, working across departments, collaborating with industry members and partners, running showcase events with senior industry, policy makers and Ministers, and convening related Executive Education, CPD and MSc Programmes.
Summary:
Focus: use of data to support infrastructure projects
Linking
Security
Access Management
Version control
Creation of a digital twin
Visibility through the supply chain
Goals:
What-if scenarios via digital twin
Net 0 supply chains
Relationship between data owners and users
Model interactions between built environment and natural environment
Civil engineers good at modeling buildings, roads, water
Not so good at incorporating the natural world
Delivery Models:
Owner/Operator of project <-> Suppliers
Pop-up client who creates model/infra and hands over to owner/operator
Integrated Pop-up client: modeler is a different team within same organization
Data-Centric Engineering Programme
Data driven design assurance: Want to make sure that the data used by designers is accurate
Civic infrastructure: Use detailed usage data to inform system design, revision
Digital twin for infrastructure projects:
Create model of system
Computer vision or laser scan to
Live tracking of reality to parameterize the twin
Design for retrofit
Address uncertainty in building energy modeling
Develop open access database
Visualization