Applied Data Science for Climate and Health

Catalog description

This course is designed to provide students with the knowledge and practical skills to use data science techniques in addressing the complex challenges at the intersection of climate change and health. With a strong focus on practical applications, the course first introduces fundamental concepts in climate change, epidemiology, and biostatistics and follows with data science methods for collecting, analyzing, and interpreting climate and health data, enabling students to identify climate change-related environmental risk factors and to engage in evidence-based decision-making and policy development. Lectures focus on the statistical methods and data science application to evaluate the health impacts of climate change-related exposures such as wildfires, extreme temperature events, tropical cyclones, and drought etc. It is open to MS, MPH, and PhD graduate students at the School of Public Health and Tropical Medicine and other Schools with appropriate permissions.