Policy-Aligned AI for Child Welfare
AI-assisted quality assurance for CPS investigation summaries: detecting missing evidence, temporal inconsistencies, and misalignment with policy rules and accountability standards.
AI-assisted quality assurance for CPS investigation summaries: detecting missing evidence, temporal inconsistencies, and misalignment with policy rules and accountability standards.
Validation layers, explainability workflows, documentation review, and human-in-the-loop systems designed for high-stakes decisions in public-sector social services.
NLP, RAG, machine learning, social network analysis, and computational methods applied to social work and public health research — connecting structural theory with quantitative evidence.
Digital systems, AI capacity-building, and tools that help social service organizations reach people at scale — treating technology as infrastructure, not optimization.
Applying statistical machine learning methods to analyze differences in the severity level of COVID-19 among countries
Application of social network analysis of COVID-19 related tweets mentioning cannabis and opioids to gain insights for drug abuse research