Created 10+ interactive visualizations and dashboards with Plotly to detect bias in 250+ policing research papers for academic research.
Context
Claims about policing carry more weight when they come from peer-reviewed research, which makes systematic bias in that literature consequential. Detecting it requires reading the corpus as a dataset rather than as individual papers.
Approach
- Scraped hundreds of media mentions for 250+ policing research papers to detect patterns of bias
- Built 10+ interactive Plotly visualizations and dashboards to make those patterns inspectable
Outcome
- Supported "Academic Copaganda" with Dr. Robert Vargas, published in Law and Society Review
Stack
PythonPlotlyData VisualizationResearch