From raw public data to the stories that change how decisions are made.
An open-source policy data platform. 13 federal and state data sources. 42 indicator variables. 72 Wisconsin counties. 1,652 census tracts.
| Tract | Score | Tier |
|---|---|---|
| Variable | β Coefficient | Std Error | p-value |
|---|---|---|---|
Policy Data Chat
Policy Data Infrastructure
An open-source policy data platform that ingests data from 13 federal and state sources, stores indicators at multiple geographic levels in PostGIS, runs statistical analyses (OLS regression, tipping points, composite indices, correlation matrices), and generates evidence-based policy narratives. Built to make public data accessible for policy decisions.
- Indicators stored as raw values —
NULLfor missing or suppressed data - Pipeline validation gate rejects loads with >30% null rate
- ICE (Index of Concentration at the Extremes) for segregation measures
- OLS regression, bootstrap CIs, percentile ranking within geographic scope
- Tipping point detection via piecewise linear regression
- Blinder-Oaxaca decomposition for gap analysis
- Composite indices weighted by equity dimension crosswalk
| Source | Type | Coverage | Variables |
|---|---|---|---|
| Census ACS · CDC PLACES · BLS LAUS · EPA EJScreen · USDA Food Access · HUD CHAS · HMDA · HRSA · GTFS · WI DPI · EPA TRI · HUD PIT · TIGER | |||
The entire platform is open source under the Apache-2.0 license. 13 Go datasource adapters, full PostGIS integration, Python ingest pipeline, and statistical engine. Contributions welcome.