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 article
• https://www.datadiversity.org/