Exposure Modeling Boot Camp

A two-day workshop focused on skills development in the application of both traditional and machine learning methods in predicting spatial/temporal variations in environmental exposures (e.g., air pollution, temperature, noise) using real data sets. This is an in-person training at Columbia’s Mailman School. Investigators at all career stages are welcome to attend. Paid registration is required.