Big data and AI for health

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Event
Contact
  • DATE / TIME:
    2021•07•01    21:00 - 22:30
    Location:
    Kuala Lumpur

    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 translation of evidence to policy and practice-based learning in low and middle income countries. The series are organised by a consortium between UNU IIGH, The University of Cape Town and BBC Media Action.

    Topics we will explore:

    ✔ Improving gender statistics with big data

    ✔ Gender-ness of IT systems and data digitisation on health systems inequities

    ✔ Gender and race inclusive algorithms

    Moderators

    Claudia Lopes

    Research Fellow, United Nations University – International Institute for Global Health

    Amnesty LeFevre

    Associate Professor, University of Cape Town

    Panelists

    Diva Dahar

    Senior Program Officer

    Gender Equality team, Bill & Melinda Gates Foundation

    Anita Raj

    Director

    Center on Gender Equity and Health (GEH), UC San Diego

    Franz F Wong

    Senior Gender Integration Specialist

    Stanford Global Center for Gender Equality

    Jonathan Jackson

    Co-Founder and Chief Executive Officer of Dimagi

    Discussants

    Neha Kumar

    Associate Professor

    Sam Nunn School of International Affairs and School of Interactive Computing, Georgia Institute of Technology

    Mamello Thinyane

    Principal Research Fellow

    United Nations University Institute in Macau

    Event Details

    When: Thursday 1 July

    Time: 9:00 – 10:30pm (MYT) / 1:00 – 2:30pm (GMT)

    Registration: https://go.unu.edu/VT2ly

    The webinar will be on the Zoom platform and registration via Eventbrite is mandatory. The connection details will be sent to you via email upon registering.

  • iigh-info@unu.edu