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DESCRIPTION
AI, Public Input, and Qualitative Research in Global Health Policy
The randomised controlled trial and other forms of rigorous quantitative research continue to dominate many discussions in the fields of "evidence-based medicine" (EBM) and "evidence-informed policymaking" about what constitutes the best evidence for global health. However, from the beginning of the EBM movement decades ago, social, political and scientific developments have continuously worked to expand and transform the relationships between knowledge, practice and policy in this area. The inclusion of public participation, qualitative research, and, more recently, data science and artificial intelligence in EBM are all examples of important moments of change. This talk reviews some of these changes and considers ways of interpreting how and why the relationships between knowledge production and policymaking evolve in the ways they do.
About
Christopher J Colvin is Professor in the Department of Public Health Sciences at the University of Virginia where he teaches and conducts global public health research from an anthropological perspective. His research interests include qualitative evidence synthesis; gender and HIV; and health activism.
ORGANISED BY
The Global Health Centre (GHC).
