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Research Training on Harnessing Data Science for Global Health Priorities in Africa

The following grant was awarded by, is supported by, is administered by or is in partnership with the Fogarty International Center at the U.S. National Institutes of Health (NIH).

Funding Fogarty Program

Data Science for Health Discovery and Innovation in Africa (DS-I Africa)

Project Information in NIH RePORTER

Research Training on Harnessing Data Science for Global Health Priorities in Africa

Principal Institution

Harvard School of Public Health

Principal Investigator(s) (PI)

Fawzi, Wafaie W.; Barnighausen, Till; Moshabela, Mosa; Mwambi, Henry Godwell

Project Contact Information

Email: mina@hsph.harvard.edu

Year(s) Awarded

2021-2026

Country

Ghana; Nigeria; South Africa; Tanzania; Uganda

Collaborators

Heidelberg University
University of KwaZulu-Natal (UKZN)

NIH Partners

OD/NIH; NLM

Project Description

This training program will build upon existing data science research and training capacity at partnering African and global institutions to enhance innovative data science research capacity. Harvard University will lead the training collaboration with Heidelberg University in support of the University of KwaZulu-Natal (UKZN) as a center with four spoke partners in sub-Saharan African countries, namely Ghana, Nigeria, Tanzania, and Uganda. Data science has the potential to generate new insights on the drivers of health and to boost healthcare delivery in Africa. The realization of this potential hinges on the availability of a large number of highly trained data scientists in health domains on the continent.

The training program will strengthen academic institutions in Africa to:

  • establish robust capacity in health data science methods
  • ultimately advance research, application capacity, and health outcomes in identified global health priorities
    •  health systems strengthening
    • food systems, climate change and planetary health.

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