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Our Partners

A community centered around a common goal of social good can be a powerful force for change. When that community is made up of an interdisciplinary group of experts committed to improving infectious disease response in the era of COVID-19, it becomes essential.  

Our world-class Advisory Council and Epiverse TRACE partners bolster the global open-source software ecosystem and empower the teams working tirelessly to respond to current epidemics and prepare for future ones.  

Epiverse Expert Advisory Council

Chapin Flynn

Senior Vice President, Enterprise Partnerships

Mastercard Center for Inclusive Growth

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.

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Uyi Stewart, Ph.D.

Chief Data and Technology Officer

data.org

Dr. Uyi Stewart is the Chief Data and Technology at data.org. Uyi provides senior technical leadership in all aspects of data.org’s work, with a particular focus on our programmatic initiatives which today include the Inclusive Growth and Recovery Challenge, the Capacity Accelerator Network, and Epiverse.

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Kaitlin Thaney

Executive Director

Invest in Open Infrastructure

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. 

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By leading an effort to develop software within Colombia, we are not only contributing to global efforts, but we are building capacity in our own backyard and showcasing our expertise on a global stage.

Zulma-Cucunuba Zulma M. Cucunubá, MD, MSc, Ph.D. Assistant Professor of Infectious Disease Epidemiology Pontificia Universidad Javeriana (Javeriana)

Meet our Epiverse TRACE Partners

The London School of Hygiene and Tropical Medicine

The London School of Hygiene & Tropical Medicine

The London School of Hygiene & Tropical Medicine (LSHTM) team is developing a suite of open-source tools, providing cutting-edge methods for outbreak analytics. This work includes Epiverse TRACE tools to quantitatively assess how an outbreak is spreading, evaluate the impact of different interventions to inform long-term policies through realistic simulations, generate interoperability in the Epiverse software ecosystem and beyond, and ensure easy user adoption across various epidemic data formats. The LSHTM team also convenes the community of users and stakeholders across the globe who support and inform the development, maintenance, and deployment of Epiverse software.

Medical Research Council Unit The Gambia

The Medical Research Council Unit The Gambia (MRCG) team leads the development of epidemiological data science tools which can be used on the ground by public health professionals responding to outbreaks. This set of tools will enable the centralization of information about cases, provide data visualizations, and quantify features of the outbreak. The dedicated epidemic software engineering team is gathering and growing the suite of Epiverse TRACE tools with an emphasis on analyses relevant to low- and middle-income countries and transforming the time-consuming and manual solutions field epidemiologists use today.

Universidad de los Andes

The teams at Universidad de los Andes (UniAndes) and the Colombian Pontificia Universidad Javeriana (Javeriana) form a regional node to adapt the core Epiverse data tools to the Latin American context and develop complementary activities that focus on research, software development, and training. The aim is to use the infrastructure built for Epiverse TRACE and expand its use by developing locally relevant tools and involving research users and governmental staff from the outset of the program.   

UniAndes is characterizing the socio-technical context of Epiverse TRACE and will co-develop epidemics data tools, prioritizing aspects such as technical infrastructure, data availability and gender gap, existing and potential users, information and technological needs and their intersection with gender. This team will also co-develop and expand the software tools to better understand broader public health threats such as the transmission of Aedes-borne disease dynamics in Latin America.

Universidad Javeriana

The teams at Universidad de los Andes (UniAndes) and Universidad Javeriana (Javeriana) form a regional node to adapt the core Epiverse data tools to the Latin American context and develop complementary activities that focus on research, software development, and training. The aim is to use the infrastructure built for Epiverse TRACE and expand its use by developing locally relevant tools and involving research users and governmental staff from the outset of the program.  

Javeriana is strengthening the regional capacities for data analytics by developing an epidemic e-training kit and in-person training adapted to the needs of local stakeholders, decision-makers and research users in Latin America. The team also aims to improve the health system’s response to epidemics by developing various package tools for analytics of emerging epidemics, and to design and analyze serological surveys and assess vaccine coverage and effectiveness that can support real-time analytics and control in low- and middle-income countries.