Published: 06 Oct 2025 534 views
Artificial Intelligence is dramatically transforming lives across Africa. From boosting agriculture and empowering businesses to revolutionizing education and healthcare. But there's a crucial gap. Women are significantly underrepresented in AI research and policy-making.
The Idia Fellowship is here to change that! We're empowering brilliant women scholars to not just research and design, but to actively influence the future of AI, ensuring it truly meets women's needs.
Over an impactful 12-month journey, our fellows will dive deep into how AI-enabled smartphones are shaping the lives of women entrepreneurs and mothers. They'll generate groundbreaking, actionable design recommendations to ensure technology is not just inclusive, but truly practical and transformative for all!
The fellowship unfolds in two connected phases. Phase 1 lays the foundation, and Phase 2 builds directly upon it; ensuring continuous learning, growth, and impact.

| Application Deadline | Not Specified |
| Type | Fellowship |
| Sponsor | Qubit Hub |
| Gender | Men and Women |
Comprehensive support for your research and professional development
AI literacy sessions, research skills, design thinking, and innovation.
Support for fieldwork, prototyping, and dissemination.
Access to a community of AI experts, developers, and policymakers.
Open-access reports, case studies, and policy briefs.
Shape technologies that empower women across Africa.
Multiple pathways for women across different career stages and expertise areas
Postdoctoral: PhD in Computer Science, Information Systems, Health Informatics, Strategy, or related fields. Proven track record in research and publications.
PhD: Enrolled in a PhD program or accepted to one. Research interest in AI, tech innovation, or women's livelihoods.
Masters: Master's-level student or graduate in relevant fields. Strong research and writing skills.
Software Development: Experience in software engineering, UX/UI design, or app development. Interest in human-centered design.
Health: Background in maternal health, health informatics, or related fields.
Policy: Experience in tech policy, gender policy, or public policy analysis.
A comprehensive two-phase approach to co-designing inclusive AI solutions
Check also:
Tony Elumelu Foundation African Entrepreneurship Programme 2026
For more details, visit Qubit Hub Fellowship webpage