Health Data Poverty Part 1 with Xiao Liu

Episode 1: Health data poverty : what can we do about it?Join us as we dive into a crucial conversation with Dr. Xiao Liu, a leading figure in AI ethics, evaluation, and regulation. This episode focuses on one of the most pressing issues in the field: health data poverty. We cover what it is, and how we might go about addressing this. Key Topics:Defining Health Data Poverty: What it means and why it matters for global health.Relevance to Developed Nations: Understanding the implications for the US, EU, and UK.In-Depth Analysis: Discussing a 2021 Lancet paper co-authored by Dr. Liu.Real-world Examples: Exploring instances of health data poverty and its impacts.Expert Recommendations: Dr. Liu shares her views on current progress and the steps ahead.Broader Implications: How can society and the healthcare ecosystem address these challenges comprehensively?Looking Ahead:Stay tuned for Part 2, where we will showcase implemented initiatives addressing these issues in Brazil.Resources:Standing Together Lancet articlehttps://www.datadiversity.org/