MRI: Acquisition of FASTER - Fostering Accelerated Sciences Transformation Education and Research
Funding amount: $3,090,000
Honggao Liu (Principal Investigator)
Raymundo Arroyave (Co-Principal Investigator)
Dilma Da Silva (Co-Principal Investigator)
Zhangyang Wang (Co-Principal Investigator)
Zhe Zhang (Co-Principal Investigator)
July 10, 2020
The research group has published a research paper on COVID-19 and social media data mining.
Li, D., Chaudhary, H., and Zhang, Z., 2020. Modeling Spatiotemporal Pattern of Depressive Symptoms Caused by COVID-19 Using Social Media Data Mining. International Journal of Environmental Research and Public Health, 17(14), 4988.
April 7, 2020
Symposium on Frontiers in CyberGIS and Geospatial Data Science: University Consortium For Geographic Information Science (UCGIS) - CyberGIS and Decision Support Systems. Click here to learn more.
August 5, 2020
The research group developed a Health Space & Time Web App.
The app illustrates the number of COVID-19 confirmed cases at a spatiotemporal scale for the United States. It also demonstrates the spatiotemporal depressive symptoms caused by COVID-19 using social media data mining.
The Health Space & Time application is available from here:
June 1, 2020
UCGIS Research Committee Initiatives: Cyberinfrastructure, Decision Support Systems, GeoAI, and Convergence Research. Click here to learn more.