Yale’s Graduate Student Engineers invite Pathways to Science high school students to join a virtual event! Mathematical modeling is an important tool that we use to understand the world around us. Models are everywhere! They can help us predict where hurricanes will strike, how the stock market might behave, how an animal population might change over time, and more. Right now, modeling is playing a critical role in helping our society navigate the COVID-19 pandemic by predicting infection rates and allowing our healthcare system to prepare and improve patient care. Join the Spinwearables team to learn how Python tools can be used to explore the basics of infection modeling. We will explore questions such as how do we go about modeling infection rates and how can we use modeling to understand the impacts of social distancing and quarantining. We will explore these questions and gain hands-on experience with computer modeling to understand how social behaviors change how diseases spread.
NOTE! We are engineering graduate students and not public health officials. We will concentrate on (and teach you how to use!) computer models to explore questions.
Open to Pathways to Science Scholars in Grades 9-12. No prior experience required, but a computer is needed. Registration required here.
Contact maria.parente@yale.edu for questions.