Seminar

Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic

Yuhao Kang

Yuhao will introduce a multiscale dynamic human mobility flow dataset, created by analyzing millions of anonymous mobile phone users’ visit trajectories to various places, the daily and weekly dynamic origin-to-destination (O-D) population flows are computed, aggregated, and inferred at three geographic scales: census tract, county, and state. The timely generated O-D flow open data can support many other social sensing and transportation applications.

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The Impact of COVID-19 on Small Business Activity and Employment

André Kurmann

Visualizing Vaccination Rates and Movement Patterns

Thomas Young

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Levente Juhász, Hartwig H. Hochmair

How different measures of social media have distinct ways of impacting foot traffic to retail brands

Thomas Weinandy