UZIMA-DS AI-Ready Synthetic Data

The AI-Ready Synthetic data study is being conducted by the UtiliZing health Information for Meaningful Impact in East Africa through Data Science (UZIMA-DS) hub led by the Aga Khan University in East Africa (AKU) and the University of Michigan. UZIMA-DS, is a U54 Research Hub funded under the NIH Data Science for Health Discovery and Innovation in Africa Initiative (DSI-Africa). The overarching goal of the UZIMA-DS is 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 and improve mental health outcomes for at-risk adolescents and young adults in Kenya. As part of this parent project, our goal is to create a curated AI-ready synthetic dataset in addition to evaluating causal relationships in synthetic data. In this regard, synthetic data, is a promising technique that could address challenges in data access and enable the broad sharing of AI-ready datasets in health research, especially in resource-constrained settings.