Redlining and public health risks in Suffolk County (Boston)
Tools: R-studio, Zoom, Google Slides, Sheets, Docs, Slack
Scope: 3-week research project
Project type: Social science research; data analysis and visualization
My Role: I spearheaded in research, writing, and iteration of the research report to ensure that my research demonstrate clearly the impact on POC communities.
Main Objective: Following Barnard college’s new initiative on Undesigning the Redline, our research extends the project from New York to Boston, and tells the story of the discriminatory practice’s health impact on Suffolk County’s communities
Through policies like REDLINING, explicit racism became structural that create systematic barriers that actively prevents people of color from obtaining resources, such as housing loans, mortgages, and other financial services.
However, the resulting physical, emotional, and financial baggage of redlining has been harder to recognize and visualize to people who have not experienced racism.
Our visualization maps prejudice.
We show how historic racial restrictions laid a foundation for contemporary racial injustices and continue to shape the health and welfare of the people who inhabit the landscape caused by racial segregation.
Undesign the Redline @ Barnard, an interactive exhibition
How does redlining impact communities today?
POC communities suffer disproportionately from the risk of stroke
POC communities suffered disproportionately from toxic-releasing emission sites.
Housing segregation is still very prevalent in Boston. 80 block groups in which 95% of residents identify as a person of color
The higher the percentage of POCs in a community, the higher the likelihood of stroke for a community member.
Housing segregation is still very prevalent in Boston.
They suffer disproportionately from stroke.
We present how redlining impact communities today.
Our research starts a conversation on the often ignored problem of structural housing inequality.
Many POC families still live in historically redlining districts.
Heavy on-site polluters stands in historically redlining districts.
Spatial data project for NGOs