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 seeks to understand how governments and citizen groups have organized responses to the COVID-19 crisis, and the social, political, and institutional dynamics that shaped responses in Argentina, Bolivia, Chile, Colombia, Guatemala, and Mexico.
Aedes mosquito-transmitted illnesses, namely dengue, chikungunya, and Zika, have become a major burden of disease in Latin America and the Caribbean, where vector control programs have not been able to reduce the risk of disease transmission.
In Latin America and the Caribbean (LAC), a steady increase in the consumption of ultra-processed food with high levels of fat, sugar, and salt has contributed to an adult overweight rate of over 50% and an obesity rate of 23%.
This project is part of a cross-programmatic effort at IDRC to improve understanding of the linkages between youth engagement, violence, and economic opportunities in Latin America in order to support evidence-based policies in this area.
In an era of rapid change and increasing mistrust in institutions, open data and the surrounding communities that use it, are working to shift norms and culture to create dialogue and collaboration between governments, civil society and the private sector.
Over the last 15 years there have been a number of efforts by government, civil society, private sector, and international organizations to address challenges faced by indigenous people, and in some cases women in particular, in Mexico’s higher education system.
Large volumes of complex and variable data, often called big data, promise to improve government service delivery, complement official statistics, and facilitate development in sectors such as health, urban development, transportation, and humanitarian response.