Explores how intentional matching processes in mentoring programmes can foster inclusion, with an emphasis on equitable algorithms. Focus on data-driven approaches to reduce bias and enhance engagement in mentoring programmes.
Sources & Further Reading
Module progress: 0/5 completed
All links were active as of October 2025. If a link is inaccessible, try searching for the title or visiting the organization’s main site.
Mentorloop – Inclusive Mentoring: The Impact of Equitable Matching Algorithms ▾
STEM Research Center (Oregon State University) – Inclusive Mentorship Skill Development ▾
A resource hub offering training materials and research findings for developing inclusive mentorship skills, especially in science and academia. Provides tools to foster equitable and reflective mentoring practices.
Rutgers University Equity & Inclusion – Culturally Aware Mentoring ▾
Introduces culturally aware mentoring (CAM), which focuses on identity, bias, and cultural self-awareness. Offers guides and workshops to support inclusive mentoring relationships.
Training Magazine – The Cultural Lens in Mentoring ▾
Highlights how mentors can apply a cultural lens in workplace mentoring. Includes practical guidance for cross-cultural communication and overcoming unconscious bias in diverse mentoring relationships.
Chronus – 5 Types of Mentoring for the Workplace ▾
Describes different mentoring models—including peer, reverse, group, and traditional—with strategies to apply them in professional and volunteer settings. Useful for designing diverse mentoring programmes.
Mentorink – Diversity Mentoring: Benefits of Diversity Mentoring ▾
Explains how diversity mentoring programmes promote equity, inclusion, and talent development. Discusses organisational benefits and how structured support can enhance cultural exchange and belonging.
🪞 Reflection
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From the sources above, which 2–3 ideas will you incorporate into your mentoring practice or programme design?