HASH Project

We are a multidisciplinary consortium of medical professionals, computer scientists, data scientists, social scientists and public health experts, with the aspiration to merge the critical need to improve maternal, sexual and reproductive health in Sub-Saharan Africa, with the emerging opportunities that Artificial Intelligence (AI) presents. Through evidence and best practice, we aim to raise the profile of AI in the health sector and bring together enthusiasts to produce home-grown solutions for the benefit of the African context.

HASH (Hub for Artificial Intelligence in Maternal Sexual and Reproductive Health) was formed from a multi-disciplinary consortium of the Infectious Diseases Institute (IDI), Sunbird AI and the Makerere University College of Computing and Information Science (COCIS). The consortium was formed through funding from International Development Research Centre (IDRC) and the Swedish International Development Cooperation Agency (Sida), as part of the Artificial Intelligence for Development in Africa Program (AI4D Africa). The consortium will implement a Hub and a Network for Artifical Intelligence in Maternal, Sexual and Reproductive Health (MSRH) in Sub-Saharan Africa. The Hub will focus on the research priority themes of Maternal Health, Sexually Transmitted Infections, Adolescent Sexual Reproductive Health and HIV. These themes are the key specialty areas of the consortium and will serve as the basis of the call for proposals for funding by the Hub. The successful applicants will join the hub and receive ongoing support and mentorship to research and develop their AI innovations. The Network will bring together stakeholders who are interested in the rapidly developing field of AI and who want to explore its application in Maternal, Sexual and Reproductive Health (MSRH). This Network will offer a platform for community, collaboration, learning and much more.

Main Objective

The overall objective of this research hub is advance the effective deployment, and integration of responsible artificial intelligence to improve maternal, sexual and reproductive health in Africa.

Meet our Team

Dr Rosalind Parkes-Ratanshi

Head of Hub and Consortium Principal Investigator

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Assoc. Prof. Engineer Bainomugisha

Consortium Principal Investigator

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Dr Ernest Mwebaze

Consortium Principal Investigator,
Theme Lead in Sexually Transmitted Infections AI.

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Dr Daudi Jjingo

Theme Lead – HIV Platforms

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Dr Rachel King

Theme Lead – Adolescents
(Vulnerable Populations)

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Dr John Quinn

Theme Lead – HIV, Artificial Intelligence

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Dr Joyce Nakatumba-Nabende

Theme Lead – Vulnerable Populations,
Artificial Intelligence

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Prof. Annettee Nakimuli

Theme Lead – Maternal Health

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Dr Agnes Kiragga

Theme Lead – Sexually Transmitted Infections

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