DATA 
SCIENCE
FOR
HEALTH
EQUITY

This session sits within our Children & Families Theme which is focused on placing the child in the wider context of their family and environment, bringing together people passionate about using data science to better understand and address maternal, familial, and child health inequities. Expect space for knowledge sharing, thoughtful discussion, and community-building that connects researchers, clinicians, policymakers, and experts by experience, and amplifies diverse voices

Here is the recording of our ECR-led webinar on why research on children and families matters and how inclusive, collaborative, and data-driven approaches can help advance health equity for children, young people, and families . Julia Shumway, UCL About Julia: Julia Shumway is a PhD student and research assistant at the University College London Great Ormond Street Institute of Child Health. The aim of her PhD is to understand the impact of placement in mainstream versus spe