Replication Study for "Machine Learning–Aided Causal Inference Framework for Environmental Data Analysis: A COVID-19 Case Study"

This repository contains the paper, data, and code for replicating the results presented in the paper written by Kang et. al (2021).

This replication study was completed as a part of UC Berkeley's Fall 2021 Causal Inference course, taught by Prof. Peng Ding. Our final report is available as a PDF here.