Counting Everyone, Counting Correctly: Case Studies in Data Disaggregation, Inclusive Data Visualization, and Reducing Misclassification of American Indian and Alaska Native Populations
WebinarsHealth Information and Data SharingMechanisms for Advancing Health EquityPublic health decisions rely on accurate data, yet broad racial and ethnic categories often conceal meaningful differences within communities and perpetuate inequities. This webinar introduces the foundational principles of data disaggregation and highlights how inclusive practices can improve the visibility of health disparities and prevent the statistical erasure of small or historically marginalized groups, particularly American Indian and Alaska Native (AI/AN) populations.