The inaugural cohort consists of eight research grantees (including research consortia and individual organizations), working in 18 countries within the Global South. Ranging from early detection and containment, to mitigation and forecasting, their work will cover a range of components related to harnessing AI and data innovation for COVID-19 responses and recovery.
Predictive modeling and forecasting of the transmission of COVID-19 in Africa using Artificial Intelligence
Country:Botswana, Cameroon, Mozambique, Namibia, Nigeria, Rwanda, South Africa, Zimbabwe
Lead Organization:York University
Uses of AI in the fight against COVID-19 in Senegal and Mali: Adaptability to the local context and social acceptability for ethical and responsible AI
Country:Mali, Senegal
Lead Organization:Université Cheikh Anta DIOP (UCAD), Faculté Lettres et Sciences Humaines (FLSH), Département de Sociologie
Leveraging Artificial Intelligence and Data Science Techniques in Harmonizing, Sharing, Accessing and Analysing SARS-COV-2/COVID-19 Data in Rwanda
Country:Rwanda
Lead Organization:University of Rwanda
Harnessing heterogeneous COVID-19 data, to build a data hub and apply artificial intelligence (AI) and data science to support public health and economic decision makings in Kenya and Malawi
Country:Kenya and Malawi
Lead Organization:African Population and Health Research Center (APHRC)
End-to-end AI and data systems for targeted surveillance and management of COVID-19 and future pandemics affecting Uganda (COAST)
Country:Uganda
Lead Organization:Makerere University
Artificial Intelligence framework for threat assessment and containment for COVID-19 and future epidemics while mitigating the socio-economic impact to women, children, and underprivileged groups
Country:Malaysia, Sri Lanka
Lead Organization:University of Peradeniya
A mixed-methods study on the design of AI and data science-based strategies to inform public health responses to COVID-19 in different local health ecosystems within Colombia (COLEV)
Country:Colombia
Lead Organization:Universidad de los Andes
AI and Data Science for early detection of potential epidemic and pandemic outbreaks after COVID-19: Implementation of a scalable strategy of electronic, gender-inclusive and socially responsible medical records in Argentina
Country:Argentina
Lead Organization:Centro Interdisciplinario de Estudios en Ciencia, Tecnología e Innovación (CIECTI)