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Center for Intelligent Buildings Digital Twinning (IBDT)

Welcome to IBDT at the University of Toronto.

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Intelligent Buildings Digital Twinning (IBDT)

IBDT is a research center focused on smarter, more sustainable buildings. In collaboration with UofT Facilities and Services, we are developing digital twin methods that support design, operations, and long-term asset management.

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Who We Are

IBDT is a multidisciplinary research hub that applies data science and machine learning to improve how buildings are designed, managed, and experienced.

What We Do

The UofT Digital Twin is our living testbed for turning campus building data into practical insights. We help operators and researchers test scenarios, improve day-to-day decisions, and build better tools for future-ready facilities.

Our Objectives

Data Repository
Digitization and Access Management

Build digital platforms for collecting, organizing, and sharing building data.
We focus on useful access, strong governance, and tools that improve data quality and usability.

Business Intelligence
Virtualization and Business Intelligence

Use AI insights to improve planning, operations, and decision-making across the building lifecycle.
We embed analytics into workflows to support automation and better operational outcomes.

Co-Creation
Empowerment and Organizational Transformation

Empower occupants and operators to move from passive feedback to active co-creation.
We design user-centered platforms where stakeholders can help shape solutions and tools.

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