As many countries in sub-Saharan Africa grapple with acute shortages of qualified teachers for their rapidly expanding basic education sectors, the potential significance of continuous professional development is gaining wider recognition.
The International Monetary Fund projects that by 2035, more young Africans will be entering the workforce each year compared to the rest of the world, emphasizing the need for students to learn not only basic reading and arithmetic skills, but also skills that will empower them to face a world that is continually changing.
Every day, Africa’s burgeoning community of data scientists, machine learning specialists, and researchers is exploring how artificial intelligence (AI) can contribute to tackling local challenges south of the Sahara.
The Science Granting Councils Initiative in sub-Saharan Africa (SGCI) is a multi-donor initiative developed jointly by IDRC, the United Kingdom’s Department for International Development, and South Africa’s National Research Foundation.
The Science Granting Councils Initiative in sub-Saharan Africa (SGCI) is a multi-donor initiative supported by the Swedish International Development Cooperation Agency, the United Kingdom’s Foreign, Commonwealth and Development Office, IDRC, South Africa’s National Research Foundation, and the German Research Foundation.
Although critically important for determining optimal strategies to reduce transmission and limit the impact of SARS-CoV-2 (COVID-19), factors such as the frequency of household transmission, the proportion of asymptomatic infection, and the natural history of the infection are poorly understood.
This project will not only analyze how young people are affected by COVID-19, it will examine how they can be key actors in the response, mitigation, and evaluation efforts of pandemic policies and actions.
This project aims to assess the impacts of the COVID-19 pandemic on national economies and determine the effectiveness of current and potential policy responses in 11 developing countries around the world.