- Gender-ness of IT systems and data digitisation on health systems inequities
- Improving gender statistics with big data
- Gender biases and human rights implications of big data analyses
The ‘Big data and AI for gender equity in health’ is part of the Gender and Digital Health Webinar Series.
The Gender and Digital Health Webinar Series is a platform to foster new partnerships and co-create knowledge on the gendered dimensions of digital technologies for health, with a focus on the translation of evidence to policy and practice-based learning in low and middle-income countries.
Moderators:
– Claudia Lopes, Research Fellow, UNU-IIGH
– Amnesty LeFevre, AP, University of Cape Town
Panelists:
– Diva Dahar, Senior Program Officer Gender Equality team, Gates Foundation
– Anita Raj, Director Center on GEH, UC San Diego
– Franz F Wong, Senior Gender Integration Specialist, Stanford Global Center for Gender Equality
– Jonathan Jackson, Co-Founder and CEO of Dimagi
Discussants:
– Neha Kumar, AP, Sam Nunn School of International Affairs and School of Interactive Computing, Georgia Institute of Technology
– Mamello Thinyane, Principal Research Fellow, UNU Institute in Macau