Earth science informatics for combating COVID-19
Earth science informatics for combating COVID-19
Session ID#: 124954
Session Description:
The global pandemic has impacted every walk of our lives on our home planet. Geoscience pose a unique opportunity to link the impact and solutions together for a comprehensive response. This session is proposed to capture the utilization of earth science informatics in address the global crisis. We invite submissions include but not limited to:
1. Studies for investigation the environmental impact of covid-19.
2. Geospatial crawler for collecting various types of open data
3. Spatiotemporal analytics to detect the relationships among the various factors
4. Advanced computing infrastructure to support covid-19 research
5. Big spatiotemporal data analytics for collecting, archiving, analyzing, and visualizing covid-19 impact
6. covid-19 impact to the geospatial cyberinfrastructure
7. Interactions between covid-19 and natural hazards, such as hurricanes, flooding, etc.
8. GeoAI for mining big Earth data to respond to covid-19
Index Terms:
0510 Agent-based models [COMPUTATIONAL GEOPHYSICS]
0520 Data analysis: algorithms and implementation [COMPUTATIONAL GEOPHYSICS]
1908 Cyberinfrastructure [INFORMATICS]
1942 Machine learning [INFORMATICS]
Primary Convener: Chaowei Phil Yang, George Mason University Fairfax, Fairfax, VA, United States
Convener: Yun Li, Curtin University, Perth, WA, Australia
Primary Liaison: Qian Liu, Ocean University of China, Marine Chemistry, Qingdao, China
See more of: Earth and Space Science Informatics