Geospatial Data Science for Mobility in Metropolitan Areas

Hi everyone! We're planning our first event, Geospatial Data Science for Mobility in Metropolitan Areas!

We're lucky to co-host this with AI@Columbia, which is the umbrella organization for artificial intelligence at Columbia University. They're providing us with the space, speaker and graciously agreed to have a transit-oriented event as their last event of the year. You can learn more about them here.

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Mobility data science is the science of transforming mobility data into actionable knowledge. This knowledge is critical towards building solutions for traffic management, micromobility (e.g., shared bikes and scooters), health monitoring, logistics, to name a few. Mobility data is spatiotemporal data that captures the behavior of moving entities (human, vehicle, animal, etc.). To understand, explain, and predict such behavior, it is necessary to combine theory and practice from the fields of data science, spatial statistics and geography. This talk will touch on several real world examples of mobility data science in action, and will dive into a few of the core concepts necessary for approaching analytical problems with a spatial mindset.

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Our speaker is Will Geary. Will Geary is a geospatial data scientist passionate about sustainable mobility. Currently, he works as Senior Data Scientist at Revel Transit, a Brooklyn-based electric mobility operator working to accelerate EV adoption. Will is also a Visiting Assistant Professor teaching Spatial Statistics at Pratt Institute School of Information.

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