10 Questions that need answering to develop a data-sharing framework for Africa.

Data science communities across Africa have created - and are still developing - innovative uses of data and statistics to support COVID-19 response teams in mitigating the COVID-19 pandemic. These solutions aim to:

Strategic Partnership for Data Science Africa

In the years since the first Data Science Africa summer school and workshop in 2015, DSA has grown and achieved several milestones, including events in eight African countries - Kenya (2015, 2018, 2024), Uganda (2016, 2020), Tanzania (2017, 2022), Nigeria (2018), Ethiopia (2019), Ghana (2019), South Africa (2021), and Rwanda (2023) - offering visiting fellowships to young researchers, contributing to affiliated academic institutions, supporting the establishment of local chapters of DSA across Africa, and providing grant support for early career and junior researchers.

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 Data Science Africa Visiting Fellowship presents exciting opportunities for members of the DSA community to explore and deepen their academic and professional interests through research visits to DSA partner academic institutions. This fellowship is an opportunity for individuals to carry out independent research, to build professional links, and to develop their interests in data science and artificial intelligence research and policy.

The Data Science Africa Visiting Fellowship presents exciting opportunities for members of the DSA community to explore and deepen their academic and professional interests through research visits to DSA partner academic institutions. This fellowship is an opportunity for individuals to carry out independent research, build professional links, and develop their interests in data science and artificial intelligence research and policy.