Dawen Xie is a research scientist at Biocomplexity Institute at the University of Virginia. Xie received his undergraduate degree in Computer Science from Nankai University, P.R. China, and his master’s degree in Computer Engineering at Texas A&M University.
Xie is interested in the Geographic Information System (GIS), visual analytics, information management system, and database with a current focus on building different dynamic web systems.
Xie won the first place in the NIEHS Climate Change and Environmental Exposures Challenge, in the National Use category, for PIE Viz (with Julia Gohlke and Samarth Swarup) in 2016.
Geographic information system (GIS), visual analytics, information management system, and database
Texas A&M University, Computer Engineering, M.S., 2007
Nankai University, China, Computer Science, B.S., 1999
The University of Virginia’s Biocomplexity Institute has released an enhanced version of its popular COVID-19 Surveillance Dashboard with new features including county-level data for the United States and state/province-level data for 15 other countries.
There are now dozens of online dashboards and maps showing exactly how COVID-19 is spreading across the world.
The many unknowns about COVID-19 – including its precise origin, how long the disease incubates, and when during the incubation people become contagious – have made data collection, and therefore, identification of effective intervention methods challenging. In response to this global pandemic, researchers from the University of Virginia’s Biocomplexity Institute have developed a set of visualization and analytical web applications to help provide a better understanding of the epidemic’s scope and aid in bringing the outbreak to a swift conclusion.
Researchers at the University of Virginia Biocomplexity Institute have collected data on the coronavirus and turned it into interactive dashboards online.