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Home » Divisional Priorities » Equity, Diversity & Inclusion in DFA

Equity, Diversity & Inclusion in DFA

In DFA, equity, diversity and inclusion are at the core of who we are. It is necessary to expand our own education about existing forms of oppression and bias so that we can better understand the lived experiences of racialized community members and members of equity deserving groups.


The staff composition in the Division of Finance and Administration (DFA) is very diverse and it is important that all employees feel safe, comfortable, and accepted for who they are. DFA upholds the values of the University and aim to foster a more in inclusive workplace where everyone feels valued and respected because of their differences – a place where every employee can be their authentic selves so that they can reach their potential and help the division and the University achieve its goals.


The Truth and Reconciliation Commission of Canada. Learn how the Government of Canada is working to advance reconciliation and renew the relationship with Indigenous peoples, based on recognition of rights, respect, cooperation and partnership.

Federal Anti-Racism Secretariat: Working to combat systemic racism towards Canada's goal of achieving a fully diverse, inclusive and equitable society

Indigenous Reads: Curated literature written by First Nations, Inuit and Metis peoples to foster understanding of Indigenous issues, cultures, and history

Blacks in Canada: A Long History. A 2001 article from Stats Canada

Significant events in Black Canadian History: Highlights of significant events that have contributed to the story of Black Canadians from the Government of Canada

Black History in Canada: The Canadian Encyclopedia

Books about Being Black in Canada:

Anti-racism Learning Series: This series, presented by the Government of Canada, provides information on issues around racism and systemic barriers that exist for marginalized and racialized groups in Canada. It offers easy access to resources topics such as anti-Black racism, unconscious bias, disaggregated data, mental health and the challenges faced by visible minorities.