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.
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.