University of Toronto Logo

Center for Intelligent Buildings Digital Twinning (IBDT)

Welcome to the Center for Intelligent Buildings Digital Twinning (IBDT) at the University of Toronto.

  • Banner
  • Banner
  • Banner
  • Banner

University of Toronto's Center for Intelligent Buildings Digital Twinning (IBDT)

The new research center has been created to support a transformative shift in the applications of information systems in the built environment. IBDT will create a Digital Twin for UofT's buildings through collaboration with the Dept. of Facilities and Services, at the University of Toronto. Research at IBDT covers the commissioning, design and construction, and asset management phases of a project or facility.

Learn More

Who We Are

The Center for Intelligent Buildings Digital Twinning (IBDT) is a multi-disciplinary research and outreach hub at the University of Toronto (UofT) that is focused on realizing a transformative shift in the application of information systems and machine learning in the built environment.

What We Do

The “UofT Digital Twin” is a testbed to advance the application of data science in the built asset industry. In collaboration with multiple stakeholders across U of T, our research team is developing a continuous process to “transfer” UofT buildings into computational platforms, where digitization aims to help facility stakeholders collaborate to virtualize future operational scenarios for the management of the university facilities. The objective is to use data analytics to create business intelligence tools to guide the daily work routines of facility operators and to empower researchers and practitioners to innovate and envision a new future for the built environment.

Our Objectives

Data Repository
Digitization and Access Management

Create digital platforms to facilitate the digitization, visualization and management of asset data.
Our objective is to capture the profiles and needs of users, develop supportive data access protocols, study and implement progressive data governance policies, and deploy tools for enhanced data collection and management.

Business Intelligence
Virtualization and Business Intelligence

Leverage insights from artificial intelligence to re-engineer business processes and promote industry 4.0 practices in the built asset industry (both for new construction projects and for the asset management phase).
Embed analytics in decision making; promote process automation; and design improved operational schemes for buildings.

Co-Creation
Empowerment and Organizational Transformation

Develop and examine project delivery schemes to empower building stakeholders beyond tokenized engagement to the realm of enable them to create knowledge.
Develop platforms for user-centric design of project options; promote collaborative generation of new facility management apps by its users.

Partners & Collaborators

Facilities & Services Department

University of Toronto

Ministry of Infrastructure Ontario

University Planning, Design & Construction

University of Toronto

Toronto and Region Conservation Authority

Sustainability Office

University of Toronto