Workshops, hackathons, and immersive research experiences building data science capacity across Africa.
Comprehensive training delivered at the University of Rwanda and DS-I Africa consortium meetings
A structured, evidence-based approach to building sustainable data science capacity
Training progresses from foundational concepts through advanced applications — ensuring participants build confidence at each stage before moving forward.
Each trainee is paired with a faculty mentor and an expert MDClone ADAMS user from WUSTL — creating a multi-layered support system for research development.
Training culminates in real research output — SRP grants and scientific manuscripts prepared for peer-reviewed publication, building academic track records.