We are launching a global consortium to design and build open software tools enabling privacy-preserving distributed analysis of data to power pandemic response.
COVID-19 exposed major gaps in our collective ability to aggregate and use data to prevent, detect, and respond to a pandemic. data.org’s “Epiverse” platform addresses these gaps by bringing together researchers, government, tech/cloud computing companies, social impact organizations, and funders in order to build, deploy, and scale innovative solutions. By unlocking insights in non-traditional data, new privacy-preserving distributed tools have potential beyond epidemiology to broader social challenges.
While the initial use cases focus on mitigating COVID-19 and other pandemics, Epiverse will be a public good built with the broader aim of transforming the distributed analytics commons and supporting use cases across the social impact sector.
Identifying and funding top teams, including those in the Global South, to build a suite of generalizable open-source epidemiological software and tools, and developing long-term sustainability plans with this community-of-practice, in order to allow for rapid, robust, and reproducible policy-relevant modelling far into the future.
A focused Challenge funding call for the top global academic teams from the Global North and the Global South to compete to develop privacy-preserving approaches suitable for deployment on commercially sensitive and privately held data, which could be scaled and deployed in Phase 2.
Open call to Big Cloud providers to participate at own cost in a 200 Days Architecture Challenge to design the technical architecture for Phase 2.
The global Epiverse consortium is dedicated to designing and building inclusive, open-source, privacy-preserving tools for the epidemiology community aimed at mitigating the impact of the current pandemic and preventing the next public health crisis.
Philip Sami Onsy AbdelMalik is an epidemiologist and public health informatician, passionate about creative and cross-disciplinary ways to enhance public health practice and capacity.
Read moreSchool of Engineering Distinguished Professor for AI and Health
Massachusetts Institute of Technology (MIT)
Regina Barzilay is a School of Engineering Distinguished Professor for AI and Health in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology.
Read moreChapin Flynn is a Senior Vice President in Mastercard Enterprise Partnerships. In that role, he is responsible for building enterprise-level partnerships that deliver growth with new revenue streams and reduce costs by driving operational efficiencies.
Read moreJosie Golding is the Epidemics Research Lead at Wellcome, within the newly formed Infectious Disease Challenge Area.
Read moreChonnettia Jones brings more than two decades of experience in science and health research, strategy and policy in the US, UK/Europe and Canada.
Read moreRebecca Kahn, Ph.D., MS, is the Senior Scientist in the CDC’s Center for Forecasting and Outbreak Analytics.
Read moreManaging Director, Pandemic Prevention Institute, Health Initiative
The Rockefeller Foundation
Samuel V. Scarpino, Ph.D. is the Managing Director of Pathogen Surveillance at The Rockefeller Foundation and a member of their Pandemic Prevention Institute.
Read moreExecutive Director, Data Science – Technical Operations and Process Sciences (TOPS)
Seagen Inc.
Uyi Stewart is the head of Data Science, Technical Operations, Seagen Inc., USA, focusing on the digitalization of biologics data to accelerate the development of transformative cancer drugs.
Read moreKaitlin Thaney is the Executive Director of Invest in Open Infrastructure, a nonprofit initiative designed to enable durable, scalable, and long-lasting open scientific and scholarly infrastructure to emerge, thrive, and deliver its benefits on a global scale.
Read moreDr. Peiling Yap is a Swiss epidemiologist, born and raised in Malaysia and Singapore, and has research experiences in China, South Africa, and Singapore.
Read moreThis is a unique opportunity for truly scalable and sustainable epidemic analysis – it will change the way data tackles global challenges.
Dr. Adam Kucharski Associate Professor London School of Hygiene & Tropical Medicine
In keeping with the goal of making the data-driven social sector a collective responsibility, we’ve invited a group of data science experts and talented industry leaders to join data.org’s Epiverse initiative as part of our inaugural Expert Advisory Council Read more
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In the News
The 2021 G7 Summit hosted by the UK at Carbis Bay set an ambitious target of 100 days for diagnostics, therapeutics and vaccines to respond to future pandemics.
We are just getting started! We are looking for creative, results-driven professionals passionate about the potential of data and technology to achieve social impact.
