La cohorte inaugural consta de ocho becarios de investigación (incluidos consorcios de investigación y organizaciones individuales), que trabajan en 18 países del Sur Global. Desde la detección temprana y la contención hasta la mitigación y el pronóstico, su trabajo cubrirá una variedad de componentes relacionados con el aprovechamiento de la inteligencia artificial y la innovación de datos para las respuestas y la recuperación de COVID-19.

AI4COVID Research Overview: LAISDAR, Rwanda
AI4COVID Research Overview: LAISDAR, Rwanda
AI4COVID Research Overview: ARPHAI, Argentina
AI4COVID Research Overview: ACADIC, Africa
AI4COVID Research Overview: Colev, Colombia
AI4COVID Research Overview: Sri Lanka & Malaysia

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)