With funding from IDRC, a research team from the Prospective Urban Rural Epidemiology (PURE) study, a large international population research effort coordinated by McMaster University’s Population Health Research Institute (PHRI), is studying why some people get COVID-19 and others do not.
In countries across Southeast Asia, poor and marginalized populations face a series of justice gaps due to poor awareness of their rights as well as barriers to accessing the complex, formalistic, slow, and expensive legal mechanisms to enforce those rights.
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.
A number of countries and international organizations have stressed the need for integrated surveillance systems to comprehensively detect and monitor antimicrobial resistance (AMR), particularly in animal and environmental reservoirs.
According to the United Nations Economic and Social Commission for Asia and the Pacific, Southeast Asia has been experiencing more frequent climate-related disaster events and an exponential increase in annual deaths for the past thirty years.
Can artificial intelligence (AI) help predict COVID-19 outbreaks and ease lockdown restrictions? Can new innovations keep campuses open and support contact tracing? Can AI support victims of gender-based violence related to COVID-19 lockdowns? These are just some of the questions the CA$12.65 million Global South AI4COVID Response Program seeks to answer.
IDRC invests in evidence, innovations, and policies to improve health and prevent chronic diseases through healthier food systems in low- and middle-income countries—more than CA$20 million in support of over 35 projects.