Early Warning System Developed with AI and Human Centered Design for Tracking the Effects of Climate Change on Maternal and Newborn Health

Mawuli Dzodzomenyo of the University of Ghana School of Public Health in Ghana will use a human-centered design approach to develop an AI-based early warning system to support communities in Ghana prepare for climate change-related risks to maternal and newborn health. They will develop a machine learning model that integrates climate and public health data to identify patterns relevant for maternal and newborn health. They will then use a human-centered design approach to engage community healthcare workers and women's groups in workshops, choosing communities in two distinct ecological zones in Ghana to encompass a range of climate change issues. The initial modeling results will be presented at the workshops, with participants providing feedback to shape the model into a prototype early warning system most suitable to their needs and concerns.