Partnering with Stanford Legal Design Lab students on tools to help tenants facing eviction
-
Updated
Oct 17, 2020 - JavaScript
Partnering with Stanford Legal Design Lab students on tools to help tenants facing eviction
Automated ACS-HUD data linking for housing analysis: eligibility and protected-class flags, and analysis-ready county summaries.
AI-powered Q&A system for U.S. affordable housing policy using RAG over 2,500+ HUD documents and 24 CFR
A tool to calculate if a rent increase is in compliance with California rent control laws.
Comprehensive machine learning analysis of housing energy inefficiency in France using synthetic data. Implements end-to-end ML pipeline for predicting "passoires thermiques" (energy-inefficient properties) with SHAP interpretability analysis and policy recommendations.
End-to-end data engineering pipeline ingesting U.S. public data (BLS QCEW + Census permits), normalizing raw files, building analytical views, and producing reproducible metrics and visualizations. Tech: Python, SQL, DuckDB, Parquet, REST APIs, CLI tooling Focus: ingestion, caching, data modeling, reproducibility, analytics readiness
Community-drafted model-law to tie housing, land, vehicle & insurance pricing to wages and real conditions. Anti-gouging by design. Contributions welcome.
Add a description, image, and links to the housing-policy topic page so that developers can more easily learn about it.
To associate your repository with the housing-policy topic, visit your repo's landing page and select "manage topics."