This project, known as the "Multisectoral and Transformative Approaches to Rites and Initiations for Maternal, Sexual and Reproductive Health Rights of Adolescent Girls", is an innovative response to promote gender equality and protect young girls from early pregnancy in Togo.
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.
This project will support the Artificial Intelligence for Development Africa (AI4D Africa) partnership by covering the operational costs for the partnership, including salaries and benefits, office costs, and travel for IDRC staff.
Building on their existing commitments to advance the timely and effective use of evidence in policy and decision-making, The William and Flora Hewlett Foundation and IDRC have jointly increased their support to the Rapid and Responsive Evidence Partnership of teams in low- and middle-income countries.
This project seeks to amplify the results and impact of the ADOS program by supporting five youth organizations working to improve the sexual and reproductive health of adolescent girls at the national level in Senegal.
The overall objective of this project is to encourage the use of research results and innovations generated through the implementation of the program “Better sexual and reproductive health and rights for adolescent girls in Senegal” to ensure better sexual and reproductive health of adolescent girls and to effectively protect them from gender-based violence.
Artificial intelligence (AI) applications are being built and applied in almost every area of social and economic life, but there is concern that if AI is applied without appropriate policies and safeguards, it could have far-reaching consequences on human rights, inequality, sustainability, and well-being.
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.