A New Chapter for Epiverse
DataDotOrg
data.org is a platform for partnerships committed to building the field of data science for social impact.
We launched our Epiverse initiative at the height of a global pandemic. In a moment of fear and uncertainty, we wanted to leverage our collective learnings to design, in real-time, the global epidemic response of the future.?
We recognized a need to look beyond the immediate crisis in front of us and think about uncharted territories to explore and yet unimaginable challenges to tackle. How can we get ahead of the next crisis, whether it be a new epidemic or something else, and build the tools we will need then, now, when we have time to build them well? Even then, we knew that Epiverse was just the first brick in the foundation. What we aspire to achieve across our portfolio at data.org is fostering community and building the field of data for social impact in such a way that learnings can be shared and best practices built upon and strengthened across geographies, identities, and disciplines.?
In today’s newsletter, we illustrate how we are building upon Epiverse by bringing together a united global health intelligence community to foster greater adoption of accessible and powerful open-source tools to tackle global epidemic and pandemic threats, both known and unknown to data science.?
Piece by piece, brick by brick, through collaboration and innovation, we can prepare the field and our partners around the world to be better positioned to respond to challenges across public health, climate change, economic security, gender inequity, and beyond.?
Cheers,
Danil Mikhailov | Executive Director, data.org
data.org Partners with the World Health Organization on Global Health Response
data.org | Epiverse
We recently announced our partnership with the World Health Organization Hub for Pandemic and Epidemic Intelligence to drive the development and deployment of digital public goods for pandemic and epidemic intelligence.?
Made possible by a $2.5 million grant from The Rockefeller Foundation , this collaboration builds on our current Epiverse initiative: a global collaborative working to develop a trustworthy data analysis ecosystem dedicated to getting ahead of the next public health crisis, funded and supported by The Rockefeller Foundation , Wellcome Trust , and the International Development Research Centre (IDRC) .?
Together, we will accelerate innovation and impact through The WHO Hub’s collaborative environment for innovators, scientists, and experts across a spectrum of disciplines and leveraging Epiverse’s collaborative network of academic partners.?
One Year of Epiverse TRACE-LAC
data.org | Epiverse
Earlier this year, the Epiverse TRACE-LAC team reflected on their progress and achievements since expanding into Latin America and the Caribbean.
To be part of the TRACE initiative—integrated by the London School of Hygiene and Tropical Medicine, U. of London and the Medical Research Council Unit The Gambia at the London School of Hygiene & Tropical Medicine — Zulma M. Cucunubá , Catalina Gonzalez-Uribe , and Juan Manual Cordovez from Pontificia Universidad Javeriana (Javeriana) and Universidad de los Andes - Colombia (Uniandes) built a strong organizational connection and established a multidisciplinary team of experts in mathematical modeling, social sciences, and decision making.
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Developing an Interface to Connect Outbreak Analysis Tools
data.org | Epiverse
Epiverse-TRACE has teamed up with the Global Outbreak Alert and Response Network (GOARN) and the World Health Organization (WHO) on a collaborative project called Go.Data in order to improve interoperability among outbreak data analysis tools.
Epiverse Community Onboarding Survey
data.org | Epiverse
The Epiverse TRACE partners London School of Hygiene and Tropical Medicine, U. of London (LSHTM), Medical Research Council Unit The Gambia at the London School of Hygiene & Tropical Medicine (MRCG), Universidad de los Andes - Colombia (UniAndes), and Pontificia Universidad Javeriana (Javeriana) are working to develop a suite of integrated, generalizable and scalable community-driven software tools which support the current ecosystem for outbreak analytics.
To maximize the utility of the tools and resources being developed, we’d love to find out more about the needs within this space. We welcome anyone working at the intersection of data science and outbreak analytics to answer the survey.
This form should take between 5-10 minutes to complete.?
Epiverse R Packages
data.org | Epiverse
An R package is an API (application programming interface) that enables easy import of data, including reported cases, contacts, locations, and relationships in an epidemic, among other points. data.org’s Epiverse R packages include tools for outbreak analytics pipelines to epidemiological parameters for infectious diseases developed by the Epiverse TRACE software development community.