Women in Data Science @ Penn Conference

This is What a Data Scientist Looks Like


Katherine Lin
Byram Hills High School

On February 12, 2021, Vice Dean of Analytics at Wharton Eric Bradlow welcomed attendees to the final day of the Women in Data Science (WiDS) at Penn Conference, which highlighted student-led projects. This video features:

COVID-19 Impact on Counties with Different Social-Economical Characteristics with Katherine Lin

The COVID-19 pandemic has had a huge effect on people’s lives, with varying severity based on different characteristics between populations. We explore the relationship between the COVID-19 death rate in US counties and their socioeconomic characteristics. Our data confirm the observations made in media reports that the pandemic has a bigger impact on older populations, populations with higher percentages of black and Hispanic people, and populations with lower income. We use statistical machine learning methods to predict county death rate based on the socioeconomic characteristics of the county, and compare the methods based on test data prediction accuracy. The results of these prediction methods can provide valuable guidance on issues such as resource allocation in the future.

About WiDS @ Penn Conference

Women in Data Science (WiDS) @ Penn is an independent virtual event presented by the University of Pennsylvania to coincide with the annual Global WiDS Conference held at Stanford University and an estimated 150+ organizations worldwide. All genders are invited to attend WiDS regional events, which features outstanding women doing outstanding work. This year’s theme for WiDS Philadelphia @ Penn was: This is What a Data Scientist Looks Like.