Event Title

Data Science to Identify Inequalities in CPS

Session Number

Project ID: BHVSO 01

Advisor(s)

Dr. Angel Alvarez, Feinberg School of Medicine, Northwestern University

Discipline

Behavioral and Social Sciences

Start Date

20-4-2022 10:25 AM

End Date

20-4-2022 10:40 AM

Abstract

The project identifies how the Chicago Public School System (CPS) unequally distributes resources among schools and neighborhoods within Chicago. This analysis is done using traditional data science programs such as Microsoft Excel functions, Python, and R. In the various analyses that have been conducted, we have compiled data from publicly accessible datasets FOIA’ed from CPS; including the distribution of library materials, NWEA test scores of students grouped by school, transfers of students from schools, etc. The analyses display patterns of inequality between the schools. The trends outlined by the data can serve to inform future changes to the status quo through proposals at board meetings.

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Apr 20th, 10:25 AM Apr 20th, 10:40 AM

Data Science to Identify Inequalities in CPS

The project identifies how the Chicago Public School System (CPS) unequally distributes resources among schools and neighborhoods within Chicago. This analysis is done using traditional data science programs such as Microsoft Excel functions, Python, and R. In the various analyses that have been conducted, we have compiled data from publicly accessible datasets FOIA’ed from CPS; including the distribution of library materials, NWEA test scores of students grouped by school, transfers of students from schools, etc. The analyses display patterns of inequality between the schools. The trends outlined by the data can serve to inform future changes to the status quo through proposals at board meetings.