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Polygence Scholar2023
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Claire Xu

Class of 2027

About

Projects

  • "Analyzing factors contributing to neighborhood development of different census tracts of Seattle, Washington How do the health outcomes, social and economic factors, health behaviors, and physical environments correlate with one another in census tracts of Seattle Washington?" with mentor Michael (Nov. 30, 2023)

Project Portfolio

Analyzing factors contributing to neighborhood development of different census tracts of Seattle, Washington How do the health outcomes, social and economic factors, health behaviors, and physical environments correlate with one another in census tracts of Seattle Washington?

Started June 21, 2023

Abstract or project description

Claire will utilize publicly available data to uncover how different census tracts differ across Seattle, WA. She will look at a variety of metrics related to health and economics. She will also look at behavioral and social factors as well. She will utilize basic statistics to see how different factors correlate with one another in the census tracts of Seattle, WA.

Background: I analyzed a research paper about mortgage rates and housing affordability, and created a 7 minute presentation on it, and I was able to learn about the relationships between mortgage rates and housing prices, why housing prices may decrease when mortgage rates increase, and vice versa. I learned about the main methods researchers use to find the relations and why some previous research failed to get the same conclusions as we have today. I created a 10 minute presentation on redlining, using various articles and other sources on google scholar. I got a better understanding of the history and what redlining is, as well as an overall understanding of reverse redlining and greenlining, two related topics. I also learned about how redlining has almost permanently affected many neighborhoods and cities, even decades after it has been banned.

Methods: I will use the City Health Dashboard to compare various factors from different census tracts in Seattle Washington, and I will use the metric comparison map in order to choose the factors. After comparing the metrics from the different census tracts and collecting and analyzing the data, l will be able to use the data to draw conclusions and regressions.