Segregation and COVID Vaccination Rates: A Machine Learning Approach

Speaker

Jared Lewis

Details

DSML Instructor Jared Lewis and prospective resident Michael Gaziani walk us through an internal research project they just completed. They'll provide a hands-on talk about how they implemented Double Lasso with fixed effects, Franks’ sensitivity analysis, and Oster’s sensitivity analysis in Python to explore the effects of Political Segregation on COVID vaccination rates in US counties.

This talk is designed to give people an in-depth overview of how you can use the. tools of machine learning to study social behavior and model complex phenomena.

This is a great overview of contemporary research methods that can be used to understand causality and estimate the impact of different interventions on social behavior.

Event type:
Speaker Series
Preparation:
None
May 8, 2023
8:00 pm
-
9:00 pm
May 8, 2023
Online
Zoom

While this event is FREE, tickets are required & space is limited!

Attend this event

About the speaker

Jared Lewis

Data Scientist

Jared Lewis will be an instructor in the new DSML Research Group. Prior to this, he was an Engineering instructor at Codesmith, teaching full-stack software engineering to students who now work at a wide range of companies including Google, Amazon, and Spotify. His passion lies in empowering others to work in technology, and he looks forward to extending this to Machine Learning and Data Science. Outside of work, Jared enjoys cycling, skiing, and hiking in the Rocky Mountains.

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