The Fully Funded Fellowship in Digital Health and Artificial Intelligence for Health 2025 offers students a unique opportunity to explore how digital innovation and AI are shaping global health systems. This program supports young researchers interested in contributing to applied research, evidence-building, and ethical debates in digital health and AI, while benefiting from structured mentorship with faculty experts.
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Background & Fellowship Description
Digital health and artificial intelligence are transforming healthcare by improving access, efficiency, and quality. However, research on their real-world effectiveness, scalability, and ethical concerns remains limited. To bridge this gap, the Center for Global Digital Health Innovation has launched this fellowship program.
The fellowship runs for 8 months, providing mentorship, research opportunities, and funding support. Selected fellows will:
- Work closely with faculty mentors.
- Conduct evidence synthesis or primary research.
- Produce deliverables such as systematic reviews, policy briefs, or applied research reports.
- Apply academic knowledge to practical global health challenges.
Fellowship Structure & Support
- Number of Fellowships: 14
- Funding: Up to $1,000 per student (depending on project and applications received)
- Duration: ~8 months
- Mentorship: One-to-one pairing with expert faculty
- Outputs: Research reports, evidence briefs, systematic reviews, or applied digital health tools
Tasks
Selected fellows will:
- Conduct literature reviews, data analysis, or applied research.
- Engage in projects ranging from AI-assisted healthcare delivery to digital health in humanitarian emergencies.
- Develop policy-relevant research outputs such as briefs or reports.
- Contribute to conferences and forums (e.g., Global Digital Health Forum).
Qualifications For Fully Funded Fellowship in Digital Health and Artificial Intelligence for Health 2025
Education and Certification
- Open to students with a strong interest in digital health, artificial intelligence, or global health research.
- No prior work experience is required, but academic or research background in public health, computer science, or related fields is an advantage.
Experience
- Ability to conduct literature synthesis or applied research.
- Strong writing and analytical skills.
- Interest in policy-relevant global health issues.
Additional Information
- Application requires a CV and a 2-page proposal on one of the identified fellowship topics.
- Proposal must demonstrate understanding of the subject, key issues, and proposed methods.
- Deadline: Friday, September 12th, 2025
- Applications must be submitted through the official Google form.
- For queries: Contact Casey Sheils (csheils3@jh.edu).
Official Application Link: Apply Here
Fellowship Topics
- AI-based tools for automating health data analysis.
- Chatbots for tracking misinformation (infoveillance).
- Mobile phone surveys for reproductive and child health.
- AI-assisted ambient scribing models in healthcare.
- AI-enabled approaches to improve survey data quality.
- Digital health and AI in humanitarian emergencies.
- Project TRACE: Detecting structural health inequities.
- Cost-effectiveness of Vector-Cam (AI-enabled vector surveillance).
Keywords:
Fully Funded Fellowship in Digital Health and AI 2025, Artificial Intelligence in Healthcare, Global Digital Health Innovation, AI Research Fellowship, Digital Health Fellowship 2025, Health Technology Research, Student Fellowship in Global Health
