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Research

Indigenizing Corporate Canada

This research focuses on career pathways for Indigenous professionals in finance and management.

As highlighted by recent Conference Board research, Indigenous finance and management professionals play a catalytic role in helping Indigenous communities and businesses access capital, broker partnerships, and manage their financial wealth. However, relative to the size of Canada’s Indigenous population, and given the growing demand for their services, Indigenous finance and management professionals continue to be underrepresented in Canada’s labour force.

This project will examine the major push and pull factors that shape career pathways for Indigenous professionals in finance and management. It will also identify associated career resources and supports that can assist Indigenous finance and management professionals as they establish their careers.

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Two women wearing safety glasses standing in a metal workshop, working on metal drilling machine.
Research

Women in Trades: Progress, Barriers and Opportunities

  • October 2026
  • Diversity Institute
The research addressed three core questions: What is the current state of women’s participation in skilled trades in Canada? What systemic barriers prevent women from entering, completing and advancing in the trades? And what strategies, domestically and internationally, have shown the most promise in addressing these barriers?
2 Related Reports
Research

Workforce Training in Canadian SMEs: Barriers and Promising Models

  • September 2026
  • Ontario Chamber of Commerce, Diversity Institute
This project responds to the need for a clearer understanding of the factors shaping SME upskilling and the conditions under which training investments are more effective.
2 Related Reports
Creative and diverse office people reviewing 3D project progress while solving graphical issues.
Research

The Right AI Tool for the Job: The Productivity Potential of AI Applications in Canada

  • September 2026
  • Signal49 Research (formerly The Conference Board of Canada)
Artificial intelligence (AI) is expected to revolutionize work and drive productivity gains not seen in years. To assess the potential impact of AI, this analysis links AI application exposure to industry-level productivity outcomes.
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