SYNAPSE is built on a powerful network of leading research universities, health institutions, and funding bodies across the U.S. and Africa.
Eight institutions forming a global consortium to advance synthetic health data research in Africa
The founding institutions that co-lead, co-design, and deliver the SYNAPSE program.
Lead implementing institution. UR-SPIU hosts the SYNAPSE project and leads all Rwanda-based training activities, cohort management, and institutional coordination.
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University of Rwanda's Centre of Excellence in Biomedical Engineering & e-Health. CEBE provides the research infrastructure and faculty expertise central to SYNAPSE.
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WUSTL provides expert MDClone ADAMS users, technical training leadership, and mentorship for faculty and trainees as the primary U.S. academic partner.
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AIMS Kigali contributes faculty trainees, computational expertise, and bridges the quantitative methods curriculum essential to working with synthetic healthcare data.
Visit WebsiteThe bodies providing financial support and consortium-level collaboration.
Primary funder of SYNAPSE over 3 years. NIH's commitment supports building sustainable health data science capacity in Africa.
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SYNAPSE participates in the DS-I Africa consortium alongside four other programs — NIH's flagship initiative for data science in Africa.
Learn MoreRwandan health sector partners providing data context, clinical expertise, and real-world research relevance.
Rwanda's national public health agency. RBC provides health system expertise and links trainees to real-world Rwandan public health challenges.
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NHIC brings health insurance data governance expertise, informing how SYNAPSE trainees understand structured health data within Rwanda's insurance ecosystem.
Learn MoreCollaborating DS-I Africa programs sharing training resources, expertise, and consortium membership.
Research Training in Data Science for Health in Rwanda — NIH-funded U2R program jointly led by WUSTL, UR-CEBE, and AIMS Kigali. Sibling program sharing faculty and infrastructure with SYNAPSE.
Visit WebsiteWe welcome collaborations from research institutions, health organisations, and technology providers committed to advancing health data science in Africa.
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