"*" indicates required fields
DIVERT Mental Health is committed to creating practices that promote the importance of equity, diversity, and inclusion. Our strength as an organization is linked to diversity and inclusivity of our membership and this depends on our ability to know this information about our members. We will constantly strive to uphold your trust to share this information. If you have questions, please reach out to email@example.com.
This request form is a mandatory requirement for DIVERT Fellows and Associate Fellows members. However, if you do not want to provide information about one or more aspects of your identity, please check “I prefer not to answer” to submit the form.
Purpose and Use: We will use this data to create innovative ways to support and welcome the participation of individuals who identify with any of the federally designated equity-seeking groups (Women, Racialized, Indigenous Peoples of Canada, Persons with Disabilities] and other groups who have been traditionally marginalized (e.g. 2SLGBTQIA+, prolonged lived experience with poverty) in the mental health system/mental health training. There will be tailored or targeted opportunities to individuals with certain lived experiences, and we will use your data to invite you to these experiences (but you have the right to ask us to stop). We will never present your data individually and it will always be reported in aggregate form (anonymized).
Privacy and Confidentiality: DIVERT will follow strict security practices and procedures required to ensure that your self-identification data will not be compromised. As such, all received data will be stored securely and only authorized personnel (i.e., the DIVERT Mental Health Program Manager and Nominated Principal Investigator) will be able to access your self-identification data. On occasion, when approved by the Administration and Management Committee, the Co-Chairs of other core DIVERT Mental Health Leadership Committees will be given permission. You have the right to withdraw your self-identification data at any time.