Redlining & Health Outcomes Research
An empirical research project examining how historical redlining and neighborhood disadvantage relate to chronic disease outcomes, using public health datasets and statistical modeling.
IndependentPublic HealthData AnalysisCausal Inference
PROJECT CASE STUDY
OVERVIEW
Write a crisp, technical overview here: what question you asked, what data you used, what methods you applied, and what you found. Keep it readable, but make it feel like real research.
WHAT I DID
- Describe dataset sourcing + cleaning + merging.
- Describe modeling approach (regression, matching, fixed effects, etc.).
- Describe validation, robustness checks, and interpretation.
- Describe figures/tables you produced and how you communicated results.
RESULTS / IMPACT
- Key quantitative result (effect size, direction, significance).
- What the result implies for policy / equity / intervention.
- Limitations and why the result is still meaningful.
LESSONS + NEXT STEPS
- What you learned technically (data issues, modeling pitfalls, inference).
- Next step (better controls, panel data, new dataset, causal method).
RESEARCH PAPER
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GALLERY
