This project will seek to improve how artificial intelligence (AI) research as a field can measurably address social problems faced by women and marginalized communities, and to correct for historic exclusion and bias that currently exists in AI systems.
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.
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.
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.
In Latin America, the increased release of open government data aims to strengthen the transparency and accountability of governments, build new business opportunities, and improve services for citizens.
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.
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 Department for International Development, IDRC, South Africa’s National Research Foundation, and the German Research Foundation.
In Africa, as globally, women academics are concentrated in disciplines other than the natural, physical, and applied sciences (horizontal segregation) as well as in junior ranks (vertical stratification).