Analysis that brings public issues into the spotlight and delivers impacts when they matter most…
Building a RAG-Intelligent Retrieval Policy Analysis Engine for Congressional Legislation
Over the past term, the Policy Insight Lab (PILab) has pushed beyond conventional research workflows to build a new class of policy analysis tools.
PCA Clustering and Topic Modeling of New York City PPRs for DOI Interventions in City Governance
This research investigates policy and procedural recommendations (PPRs) in New York City governance using PCA cluster analysis and natural language processing (NLP). It aims to show the typological differences between accepted and rejected PPRs by identifying sentiments and key topics through topic modeling within the recommendations.