Our programmes support individuals, practitioners, and institutions in understanding, navigating, and responding to appearance-based stigma and visible differences with dignity and evidence-informed care.
These programmes are part of APi’s broader research-to-impact model, translating evidence and lived experience into accessible learning.Â
Introductory e-learning courses that build understanding of appearance, identity, stigma, and dignity. Â
The courses:
Focus: Understanding internalised appearance shame and reclaiming dignity
Status: In Production
Focus: Introducing appearance positivity as a psychosocial framework
Status: In Production
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Focus: Identifying everyday stigma and building interruption skills
Status: In Production
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Focus: Supporting parents navigating diagnosis, stigma, and resilience
Status: In Production
Structured programmes for practitioners, educators, and professionals applying appearance-positive approaches in real-world settings.Â
The courses:
These in-depth programmes provide structured training for long-term psychosocial resilience, professional practice, and institutional change.Â
AJF is a selective leadership and capacity-building programme for individuals working across appearance-related challenges, including visible differences, skin conditions, and broader appearance concerns.
AJF brings together patient leaders, advocates, practitioners, researchers, and cultural actors with lived experience or strong alignment to the field.
The fellowship equips participants to translate lived experience into:
• Advocacy and systems change
• Research and knowledge contribution
• Social impact initiatives
• Cultural and narrative influence
AJF is designed to build leadership, deepen impact, and strengthen the ecosystem advancing appearance-based equity.
AJF is a core part of APi’s long-term strategy to build a network of leaders advancing appearance dignity and psychosocial well-being across communities.Â
Status: In Development
Inaugural Cohort: Planned
APi’s programmes are part of a broader research-to-impact model. Insights from learning programmes contribute to ongoing research, inform the development of tools and AI systems, and support real-world applications across communities and institutions.