![]() ![]() Kong said the team wanted to ensure the projects represented a broad geographical landscape and were linguistically distributed. ![]() The York U team received 221 project submissions from 47 countries, which was narrowed down to 16 finalists across Africa, Asia, Latin America, the Caribbean and the Middle East. “The funding lasts five years, but our relationship, our partnership, is eternal,” said Kong. The multi-regional network, named Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), received $7.25 million in funding from the International Development Research Centre last year.įrom this funding, more than $5.8 million will be used over the course of five years to enhance locally-led projects in the southern countries. “Our hope is for COVID-19 to never repeat itself.” “We’re making locally-relevant data actionable to create common policies that are relevant to the local public,” Jude Kong, the program’s executive director told CTVNews.ca on Wednesday. The initiative encompasses 16 southern projects in total. The goal is to design health-care solutions based on local data from different sources and to develop and train AI algorithms to address specific needs such as predicting outbreaks in a set region.
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