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.
Areas of Focus
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.
Develop Software and Tools
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.
Challenge Funding Call
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.
Design Architecture for 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.
Imagine the transformative impact of consistent, replicable, and trustworthy data-driven insights, analysis, and modelling – accessible from anywhere and able to be applied in real-time to combat pandemics and other public health threats.
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.
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.
Chapin 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.
Kaitlin 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.
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