Videos / Documenting Health Datasets - Incentives, Transparency, Audits and Inclusion (33:42)
Documenting Health Datasets - Incentives, Transparency, Audits and Inclusion (33:42)
Data Science for Health Equity
14 July 2026
Last Updated
In this talk, Nyalleng presents work on why data documentation is crucial, the difficulty of incentivizing data users and producers to create detailed data artifacts, and how we might start to think about the role of diversity in creating ML for Health systems.
Organisation
Data Science for Health Equity
Data Science for Health Equity (DSxHE) is a global community that brings together students,
researchers, practitioners, and policymakers dedicated to using data science to address and
eliminate health disparities. Our mission is to foster an environment where interdisciplinary
collaboration can flourish, leading to innovative solutions that promote health equity. Our
main goals are to create community, raise awareness, improve individual practices, and
influence institutional actions.