UZIMA DATA SCIENCE

UZIMA-DS aims to create a scalable and sustainable platform to apply novel approaches to data assimilation and advanced artificial intelligence (AI)/machine learning (ML)-based methods to serve as early warning systems to address critical health issues impacting young Africans in two domains: maternal, newborn and child health and mental health... 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).

Primary location: Nairobi Kenya