Strategic objectives for sustainable capacity building in data science for health in Rwanda.
Each goal is designed to reinforce the others, building a comprehensive and sustainable ecosystem for health data science in Rwanda.
Develop a local cadre of data scientists with health-research skills, supporting MS, PhD, post-doctoral, and junior faculty training with comprehensive stipends and research funding. Emphasis is placed on long-term retention in Rwanda to ensure lasting national impact.
Develop and adapt a comprehensive interdisciplinary curriculum in Data Science for Health spanning computer science, statistics, mathematics, and biomedical/public health domains. Curriculum resources are co-designed by partner institutions and made openly available.
Offer hands-on research experience and mentoring so trainees can design, submit, and complete small research projects (SRPs) relevant to Rwanda's health priorities, including both communicable and non-communicable diseases.
Strengthen institutional capacity at the University of Rwanda to enable a sustainable, Rwandan-led training program with explicit transition planning. This includes faculty development, infrastructure support, and governance structures for the long term.
Three-way partnership between WashU, UR, and AIMS ensures diverse expertise and shared accountability.
From intensive boot camps to long-term degree programs, training pathways are designed to scale and sustain.
All research and training activities are anchored in Rwanda's actual public health priorities and data needs.
Explicit transition planning ensures Rwandan institutions lead the program independently in the future.
DST-HIRWA is powered by a network of leading institutions across the U.S. and Africa.
