Home Artificial Intelligence for Global Health Artificial intelligence for pandemic resilience: A mechanism for validating and deploying high-impact solutions and tools for public health

Artificial Intelligence for Global Health

Artificial intelligence for pandemic resilience: A mechanism for validating and deploying high-impact solutions and tools for public health

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The overall goal of this project is to support practical and impactful responsible AI initiatives to help fight pandemics, including the ongoing COVID-19 pandemic and future pandemics.

The project establishes a mechanism and process for validating and deploying promising AI initiatives with high potential for positive impact in this domain.

Developing an online directory of promising initiatives to combat pandemics and build societal resilience

Pandemics have a global impact and affect all aspects of our connected society. In order to properly address these impacts, collaboration between governments, the scientific community and industry is essential to implement innovative solutions that protect both the public and the economy, while respecting individual and collective rights.

In light of the COVID-19 pandemic, many international initiatives are seeking to develop effective AI solutions to combat pandemics and build societal resilience. With the explosion of available information and resources, mechanisms for expert validation, scaling, and rapid deployment of practical solutions are crucial and must be developed within the public domain.

The Working Group on Responsible AI was mandated by the Global Partnership on AI (GPAI) to support the responsible development and use of AI in the fight against COVID-19 and future pandemics. In the early stages of the project, an online directory of promising initiatives with high potential for expansion was developed. The ever-evolving “living” directory allows for the online submission and evaluation of candidate initiatives.


The project is currently pursuing, in collaboration with a number of promising initiatives in the online directory, a model for equitable and global pandemic modelling, bringing together non-pharmaceutical intervention (NPI) models from around the world. These models will be integrated into an “automated calibration framework”, able to adapt to various data sets; essentially, whichever data are available as inputs in a given locale. This initiative aims to help governments make decisions around the implementation of non-pharmaceutical interventions, and will first be deployed as a pilot in a sub-Saharan African country. The ultimate goal of this collaboration will be to have a modelling ensemble that is easily adaptable to different regions.

Working with international partners, this project highlights the ability to use AI systems to support the United Nations Sustainable Development Goals, with a focus on human rights, innovation, health and life sciences. With its network of international experts and GPAI member countries, CEIMIA is well positioned to provide a structure to review and leverage research, and promote the development of responsible AI initiatives for the common good.


Arnaud Quenneville-Langis


Project Manager

Stephanie King


Director of AI Initiatives

Michael O’Sullivan

Université d’Auckland

GPAI Expert and Project Co-Lead

Paul Suetens

KU Leuven

GPAI Expert and Project Co-Lead

Margarita Sordo

Brigham and Women's Hospital at Harvard Medical School

GPAI Expert and Project Co-Lead

Collaborators - Phase 1

Samuel Curtis

Adriana Bora

Rui Wang

Nicolas Miailhe

Sacha Alanoca

Johanna Hedlund

Florian Scheidl

Dinithi Bowatte

Stephanie Long

Mahta Ramezanian Panahi

Irene Tenison

Rishav Raj Agarwal

Joseph J. Russell

Lewis Hammond

Bruno Kunzler

Kristy Loke

Abdijabar Mohamed

Karine Perset

Francesca Sheeka

Alan Paic

Cyrus Hodes

Collaborators - Phase 2

Nathaniel Hupert

Patrick McSharry

Victoria Agyepong

Nathan Allen

Partha Roop

Sobhan Chatterjee

Risto Miikkulainen

Babak Hodjat

Olivier Francon

Ahmed Farid

Daniele Pucci


The Future Society

Carnegie Mellon University Africa

Weill Cornell Medicine Institute for Disease & Disaster Preparedness

Cognizant Technology Solutions

University of Auckland


Te Pūnaha Matatini

Collaborative opportunities with CEIMIA

Getting involved with CEIMIA means contributing to the responsible development of AI for global health.

Do you have an AI or research project related to pandemic resilience and/or modelling? We’d love to learn more. Please enter your project information in our online living directory:

We are also inviting experts from external organisations working in this field to join the team as members of the project advisory committee.