Spatiotemporal Computing for Combating the COVID-19 Pandemic
Chaowei Phil Yang
Professor at George Mason University and Director of NSF Spatiotemporal Innovation Center (STC)
Wednesday, March 3, 2021, 11am-12pm EST
This seminar can be viewed remotely via Microsoft Teams: Join here
Recorded session is available through the Goddard Library
The sudden outbreak of COVID-19 in 2019 changed every walk of our lives on the planet. To address the global crisis, the NSF spatiotemporal innovation center spun off a rapid response project with support from NSF, NASA, State Department and many of its other members. This talk will introduce the project and how we utilized the advanced spatiotemporal computing technology to a) collect data on the fly from the Internet, b) collocate the spatiotemporal data using a unified spatiotemporal cubic framework, c) conduct spatiotemporal analytics to answer challenging questions, d) simulate the COVID-19 to address practical problems, and e) share the data, tools, platform, and research results for enabling global research and response to the Pandemic. We will also illustrate how crawler, knowledge bases, cloud computing, GPU computing, AI/ML tools are utilized in the rapid response project.
Chaowei Phil Yang is Professor at George Mason University and directs the NSF Spatiotemporal Innovation Center (STC), a collaboration among GMU, Harvard and UCSB (phase 1) with support from 10+ members including NASA Goddard. His research focuses on utilizing spatiotemporal principles to optimize computing infrastructure to support science discoveries and engineering development including the global pandemic.