About the Hub
The UZIMA-DS (UtiliZe health Information for Meaningful impact in East Africa through Data Science) Hub aims to create a scalable and sustainable platform to apply novel approaches to data assimilation and advanced artificial intelligence/machine learning-based methods to serve as early warning systems to:
- Improve health outcomes for at-risk mothers and children
- Improve mental health outcomes for at-risk adolescents and young adults in Kenya.
UZIMA-DS brings together method experts in statistics, computer science, and informatics, health domain experts and practitioners, and partnerships with key stakeholders to not only improve the quality, efficiency, and relevance of multidisciplinary data science in health research, but also its transparency, reproducibility, and dissemination for sustainable impact in Africa. Thus, helping ensure current and future generations of Africans can achieve uzima (health/well-being in Swahili).
The UZIMA-DS Hub is led by Prof. Amina Abubakar at Aga Khan University Institute for Human Development and Dr. Akbar Waljee at the University of Michigan who bring complementary expertise and experience in population health and data science to the Hub.