The submission period for the COVID-19 Challenge has closed. Winners were announced on Tuesday, May 12th. The impressive work of the winners of this challenge is displayed here.
The Pandemic Data Room (PDR) is a comprehensive global COVID-19 data repository created by a consortium of partners and led by QED Group to improve understanding of the impact of physical distancing policies on social behavior, disease rates, hospital utilization, and local/national economies. Although these issues were the initial focus for data collection, the Pandemic Data Room is a dynamic source, and will be continuously updated based on suggestions from users, and the growing base of open source data around COVID-19 and other issues. Access The PDR
In order to ensure that the Pandemic Data Room best reflects questions being asked among the global health and international development communities, we have created a portal for people to pose questions on COVID-19 they are looking to get answered. This question portal will be available to Data Challenge participants and can also be used to generate ideas for the creation of compelling visualization and analysis tools. Please visit the portal here
A Data Challenge is an open event in which participants create a visualization or analysis tool focused on a common theme. The intention is to challenge analysts to create insightful, compelling and relevant products that can be shared with decision-makers.
Find Out More About Our Previous Challenge at George Washington UniversityThis event is open to everyone. There is a student track and a professional track and submissions from each track will be judged separately.
A computer or laptop with your favorite tools installed. You can use whatever tools you like! (Excel, Adobe, Python, R, JavaScript, Tableau, Plotly, etc.)
In addition to the chance to earn prizes you’ll be able to develop a visualization or analysis tool that showcases a fresh perspective on data, opens up new feedback loops, informs policy, and improves program implementation for the public good!
The Challenge will open April 13th with submissions due May 3rd. Winners will be announced May 12th.
All work will be done remotely. Data will be made available in Pandemic Data Room beginning April 13th.
To see the full Challenge rules click here
We are seeking dynamic data visualizations or analysis tools that are information-oriented outputs (examples of past submissions can be found here ) that can answer topical questions with data and be useful in terms of informing policy. Note that we are not looking for phone apps or computer programs.
We are bringing together data scientists, economists, global health experts, and others to crowdsource data analysis and create visualizations or analysis tools that clearly communicate findings. This rich COVID-19 resource will also be available to researchers, international public health specialists, public policy analysts, and experts worldwide. The Data Challenge will crowdsource academic and professional talent in data science, public health policy, economics, and related fields. Tracking behavioral issues on a global basis and analyzing reliable data is critical.
Register an account on CGDV, and submit your work before 11:59 PM EST May 3, 2020.
How To Upload Your Visual to CGDV?
![]() Andy CotgreaveTechnical Evangelist, Senior Director at Tableau Software |
![]() Jeff ColyerCEO, Management and Advisory, Virtus Consultants |
![]() Ron KlainEVP / General Counsel, Revolution |
![]() Susan GregurickHead of Data Science, National Institutes of Health |
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![]() Alexis BonnellChief Innovation Officer, U.S. Agency for International Development & Acting Director of the Office of Engagement and Communication U.S. Global Development Lab |
![]() Gordon WeynandDirector of Planning, Performance & Systems in the Office of U.S. Foreign Assistance Resources, U.S. Department of State |
![]() Juli KlemmActing Chief, Cancer Informatics Branch Center for Biomedical Informatics & Information Technology (CBIIT), National Cancer Institute (NCI) |
![]() Elaine JohansonDirector, Office of Health Informatics (Acting), FDA |
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![]() Tom WotekiDirector, Data Analytics and Applied Statistics Master’s Program, Virginia Tech |
![]() Vivian RansonActing Lead, Self-Reliance Metrics Team, Bureau for Policy, Planning and Learning (PPL) at USAID |
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*Opinions from USAID staff for the Data Challenge are made in a personal capacity and do not represent the formal endorsement of USAID or the USG.
We encourage you to recognize both the limitations of the data and your ability to draw conclusions from this data. The importance of this COVID-19 means that any visuals created may be displayed in other contexts, and we ask you not to overreach in any conclusions you attempt to draw. See below for a list of articles around this topic.