The UtiliZing health Information for Meaningful impact in East Africa through Data Science (UZIMA-DS) project creates scalable platforms for novel data assimilation, uses advanced artificial intelligence to serve as early warning systems for at-risk populations, and utilizes novel community outreach for data use and access. The primary goals are to improve health outcomes in Kenya for
- at-risk mothers and children
- at-risk adolescents and young adults needing mental health care.
Above. AKU and U-M partners meet with community members in Kaloleni, Kenya, to discuss health research data
There is a dearth of tools that can be used for early identification of women, children, and young adults at risk of poor physical and mental health.
—Dr. Amina Abubakar, Aga Khan University
Read more about the UZIMA grant in Aga Khan University Receives Grant to Establish Novel Research Hub.
Amina Abubakar discusses research data in Kaloleni, Kenya
The UZIMA-DS Research Hub creates a scalable, sustainable platform to apply novel approaches to data assimilation and advanced artificial intelligence- and machine learning-based methods to serve as early warning systems to improve health outcomes.
The hub brings together area experts in
- statistics, computer science, and informatics
- healthcare clinicians and practitioners
- key community stakeholders
to improve not only the quality, efficiency, and relevance of multidisciplinary data science in health research but also data science's transparency and reproducibility for sustainable impact in Africa.
Lukoye Atwoli addresses a U-M delegation in Nairobi, Kenya. Atwoli is co-lead—with Zul Merali—of the mental health aspects of the UZIMA grant.
