Physical Address
304 North Cardinal St.
Dorchester Center, MA 02124
Deadline: November 3, 2025
The Data Science to Advance Women’s Health (DSAWH) Fellowship 2026 is a prestigious initiative designed to empower women scholars in Eastern and Southern Africa who are passionate about using data science to tackle pressing issues in women’s health.
Supported by regional and international partners, the DSAWH Fellowship aims to build research capacity and bridge the gender gap in data science by equipping female researchers with advanced analytical, computational, and leadership skills. Fellows will engage in groundbreaking research projects addressing critical topics such as maternal health, reproductive rights, gender-based violence, and access to healthcare — with the ultimate goal of improving health outcomes for women and girls across Africa.
This fellowship offers a fully funded opportunity for early and mid-career women scholars to strengthen their technical expertise, collaborate with global mentors, and contribute meaningfully to the growing field of data-driven health research.
Benefits
Selected DSAWH Fellows will enjoy a range of benefits, including:
- Full funding for research activities and professional development.
- Comprehensive training in data science, statistical analysis, and health informatics.
- Mentorship from world-class researchers and data science experts.
- Networking opportunities with regional and international institutions.
- Access to state-of-the-art research tools and computational resources.
- Opportunities to publish research and present findings at academic conferences.
- Career advancement support, including guidance on grant writing and research leadership.
SEE ALSO: Sciences Po Mastercard Foundation Scholars Program 2026/2028 for Graduate Study in France (Fully Funded)
Eligibility Criteria
To qualify for the DSAWH Fellowship 2026, applicants must:
- Be female researchers from Eastern or Southern Africa.
- Hold at least a Master’s degree or equivalent in public health, data science, biostatistics, epidemiology, computer science, or a related field.
- Demonstrate a clear interest in applying data science to women’s health challenges.
- Be affiliated with a recognized academic or research institution in the region.
- Show leadership potential and a commitment to advancing women’s health research.
Application Process and Documents Required
Interested applicants should apply through the official DSAWH Fellowship portal. The application process typically includes:
- Completing an online application form with personal and academic details.
- Uploading the following documents:
- Research proposal outlining the intended project and its relevance to women’s health.
- Updated CV or résumé.
- Academic transcripts and certificates.
- Two letters of recommendation from academic or professional mentors.
- Proof of institutional affiliation (if applicable).
