Surgo Foundation is launching the Surgo Machine
Learning Initiative for Precision Public Health to
explore the feasibility of applying causal machine
learning methods to international development data.
Surgo has formed a strong and diverse consortium of
partners across the private and non-profit sectors
including the Bill and Melinda Gates Foundation
(BMGF), GNS Healthcare, the University of Manitoba,
and the University of Sussex.
In its first proof-of-concept project, ML4PxP will
begin by testing several potential causal machine
learning approaches on reproductive, maternal, and
child health data sets from Uttar Pradesh, India.
Together, the consortium is innovating to determine
whether and how such models can be applied to help
solve big international development questions.
Funded by Surgo Foundation: 15 April 2017 - present.