Link to Session Platform

Chairs(s):

Ming-Hsiang Tsou, San Diego State University

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Description:

The COVID-19 pandemic has affected countries all over the world and it has changed everyday life, posing enormous health, economic, environmental, and social challenges to the entire human population. Geospatial research and application development provide valuable insights that help government stakeholders monitor, manage, and make decisions at different stages, while fighting the pandemic and during post-pandemic recovery.

One key research agenda studies the relationship between human mobility/urban dynamics and COVID-19 epidemiology, as human interaction and behavior in space and time play a critical role in COVID-19 epidemic dynamics and our society. Diverse geospatial applications have been developed and a range of research has been conducted to monitor, map, analyze, predict, and evaluate the impact of the pandemic on human mobility and urban dynamics, and vice versa. These efforts have been facilitated by geospatial data provided by public and private sector organizations, academic communities, and citizens through mobile technology and cyberinfrastructure. Shared data include frequently updated data at fine spatial and temporal scales, which were not easily accessible to researchers in the past. This provides unprecedented opportunities to understand complexities of human mobility and urban dynamics, while addressing new and persistent challenges such as data quality assurance, sampling biases, uncertainty, multiscale heterogeneous spatiotemporal data integration, high volume and high velocity data management and computational efficiency, and privacy and security issues. To facilitate discussions on human mobility and urban dynamics research in the COVID-19 pandemic era, our organized paper session(s) will be focused on, but not limited to, the following themes:

• Spatiotemporal data analytics and modeling of human mobility and urban dynamics in the context of the COVID-19 pandemic.
• Examining the socioeconomic and public health impacts of the COVID-19 pandemic in cities and communities.
• GeoAI and geocomputation methodologies for analyzing and predicting epidemic dynamics.
• Managing big geospatial data issues related to COVID-19 response strategies and research.
• Geocomputation and geovisualization tools for human mobility and urban dynamics research.
• Geospatial web and mobile application services as applied to COVID-19 response strategies and research.

Non-Presenting Participants Agenda