The inaugural cohort consists of nine 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.

AI4COVID Research Overview: ACADIC, Africa
AI4COVID Research Overview: ACADIC, Africa
AI4COVID Research Overview: Colev, Colombia
AI4COVID Research Overview: Sri Lanka & Malaysia

The application of an Artificial Intelligence (AI) mobile reporting tool and data science to mitigate gender-based violence and security challenges during and post-COVID-19 in Nigeria

Country:

Nigeria

Lead Organization:

Social Science Academy of Nigeria

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)