Open Science Prize Announces Epidemic Tracking Tool as Grand Prize Winner

Press Release | Open Science Prize, Wellcome, Howard Hughes Medical Institute , National Institutes of Health | February 28, 2017

A prototype online platform that uses real-time visualization and viral genome data to track the spread of global pathogens such as Zika and Ebola is the grand prize winner of the Open Science Prize. The international team competition is an initiative by the National Institutes of Health, in collaboration with the Wellcome Trust and the Howard Hughes Medical Institute (HHMI). The winning team, Real-time Evolutionary Tracking for Pathogen Surveillance and Epidemiological Investigation, created its prototype to pool data from researchers across the globe, perform rapid phylogenetic analysis, and post the results on the platform’s website. The winning team will receive $230,000 to fully develop their prototype with NIH awarding $115,000 to the U.S. members of the winning team, and the Wellcome Trust and HHMI also contributing $115,000 to the winning team.

The Open Science Prize is a global competition designed to foster innovative solutions in public health and biomedicine using open digital content. The prize, which was launched in October 2015, aims to forge new international collaborations that bring together open science innovators to develop services and tools of benefit to the global research community. placed first out of three top finalists, selected from a pool of 96 multinational, interdisciplinary teams including 450 innovators from 45 countries. This award is the culmination of a year-long process which included development and demonstration of working prototypes and multiple stages of rigorous review by panels of expert Open Science advisors and judges from the Wellcome Trust and NIH.

Genome sequences of viral pathogens provide a hugely valuable insight into the spread of an epidemic, but to be useful, samples have to be collected, analyzed and the results disseminated in near real-time. The statistical analyses behind can be conducted in minutes, and can reveal patterns of geographic spread, timings of introduction events, and can connect cases to aid contact tracing efforts.

The phylogenetic analyses are posted on the website as interactive and easy to understand visualizations. The team behind is led by Trevor Bedford, Ph.D., of the Fred Hutchinson Cancer Research Center, Seattle, and Richard Neher, Ph.D., of Biozentrum at the University of Basel, Switzerland. They hope that the platform will be of great use to researchers, public health officials and the public who want a snapshot of an epidemic.

" aims to synthesize publicly available pathogen genomic data to arrive at an understanding of epidemic spread not available through traditional surveillance systems," said Bedford.

"Our efforts with are only possible through open data sharing by others in the community. We've really enjoyed working with these teams in the field as they collect and share viral genome data,” added Neher.

All stages of the competition emphasized open science in both form and process, including public input for the award gathered via a global public voting portal. During the public voting phase, which narrowed the six finalists to three top contenders, nearly 4,000 online votes were cast by members of the public from a total of 76 countries on all six inhabited continents.

All six finalist teams were considered exemplary by the funders and are to be commended for their tenacity in developing creative approaches to applying publicly-accessible data to solve complex biomedical and public health challenges. The topics spanned the breadth of biomedical and public challenges, ranging from understanding the genetic basis of rare diseases, mapping the human brain, and enhancing the sharing of clinical trial information. As evidenced from the six Open Science Prize finalists, public health and biomedical solutions are enriched when data are combined from geographically diverse sources. Final prototypes developed by the six finalists can be accessed at:

As increasing amounts of data are produced by scientists around the world and made openly available through publicly-accessible repositories, a major challenge to fully maximize this health information will be the lack of tools, platforms, and services that enable the sharing and synthesizing of disparate data sources. Development in this area is essential to turning diverse types of health data into usable and actionable knowledge.

“Many congratulations to Their prototype is an exemplar of open science, and will have a great impact on public health by tracking viral pathogens,” said Robert Kiley, who leads Wellcome’s work on open research. “Overall, we had received many fantastic submissions for the prize, tackling issues from air quality to genomics, and clinical trials to neuroscience. All entrants demonstrated what’s possible when data and code are made open for all. We hope that this competition has inspired and spurred on others to think about opening up data to create more innovation in this space.”

“This competition hallmarks a new direction in open science funding from disease-specific efforts toward disease agnostic projects in which scalable solutions can be applied to multiple disease areas and even to solving other scientific problems,” said Dr. Patti Flatley Brennan, NIH Interim Associate Director for Data Science, and director, National Library of Medicine. “In many ways, the Open Science Prize is a model program and NIH is looking forward to participating in new initiatives that accelerate open data sharing.”

The development team was led by Bedford and Neher. Also participating were students from the laboratories of the team leaders, as well as students from the University of Washington, Seattle and the University of Auckland in New Zealand.

About the Open Science Prize: The Open Science Prize is a unique global science competition made possible through a collaboration between the National Institutes of Health (NIH) and the UK-based Wellcome Trust, with additional funds provided by the Howard Hughes Medical Institute of Chevy Chase, Maryland. The NIH effort is part of the Big Data to Knowledge (BD2K) initiative, launched in December 2013 as a trans-NIH program with funding from all 27 institutes and centers as well as the NIH Common Fund. A complete description of the competition, including descriptions of the finalist teams and their innovations, can be found at:

About Wellcome: Wellcome exists to improve health for everyone by helping great ideas to thrive. Wellcome is a global charitable foundation, both politically and financially independent. It supports scientists and researchers, takes on big problems, fuels imaginations and sparks debate.

About the Howard Hughes Medical Institute (HHMI): The Howard Hughes Medical Institute plays a powerful role in advancing scientific research and education in the United States. Its scientists, located across the country and around the world, have made important discoveries that advance both human health and our fundamental understanding of biology. The Institute also aims to transform science education into a creative, interdisciplinary endeavor that reflects the excitement of real research.

About the National Library of Medicine (NLM): The world’s largest biomedical library, NLM maintains and makes available a vast print collection and produces electronic information resources on a wide range of topics that are searched billions of times each year by millions of people around the globe. It also supports and conducts research, development, and training in biomedical informatics and health information technology. Additional information is available at

About the National Institutes of Health (NIH): NIH, the nation's medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. For more information about NIH and its programs, visit


Elizabeth Kittrie