This nine month long fellowship seeks to advance women’s health in Africa by providing training and support to 20 women scholars based in Africa and working on addressing women’s health problems. The fellowship is a collaboration between Data Science Africa and Rethé – an initiative focused on increasing representation of Africans in scientific publications. There will two cohorts. The 2024 cohort will focus on researchers living in west and central Africa.
The use of the phrase “women’s health” in this fellowship has the same scope as described in the Women’s Health Innovation Opportunity Map 2023 Report. In the report, the phrase “is used to highlight all areas of health related to women, including conditions associated with both sex as a biological variable and gender as an intersecting social determinant of health. This includes diseases and conditions that present only in women, disproportionately in women, and differently in women.”
DSA is a grassroots organization focused on building capability in data science, machine learning and AI in Africa. DSA partners with academic institutions to train students and researchers in cutting-edge computational methods. It also provides a venue to discuss locally developed data science solutions that address problems in Africa. The DSA program usually includes three days of theoretical training in data science methods, and a two-day workshop that provides an opportunity for participants to be exposed to relevant research on the continent. During the two-day workshop, we will organize a parallel session focused on Data Science Applications to Advance Women's Health and a half-day scientific writing workshop.
Our goal is 100% success: we aim to support every fellow to complete and publish one research paper that advances women’s health in Africa.
The Data Science to Advance Women’s Health Fellowship is funded by the Bill & Melinda Gates Foundation.
All application materials should be written in English. Also all convenings will be held in English.
Please contact Prof. Nsoesie at onelaine@bu.edu.