Human Services Topics
Breaking Down Silos to Improve Child Welfare Systems
Child welfare systems include multiple agencies and partners focused on strengthening prevention and protection efforts for children and families. Mathematica partners with agencies and programs at the federal, state, and local levels to deliver child welfare solutions backed by our integrated data analytics, program, and policy expertise. Through our interdisciplinary approach, we break down information silos to inform decision making and drive better outcomes to support safety, permanency, and well-being for children and their families.
Evidence & Insights
Publication
Using predictive modeling to strengthen child welfare systems
Predictive modeling with advanced machine learning can help child welfare agencies support their practice and case management. Mathematica partners with child welfare jurisdictions to move from use case selection to model development, implementation, and measurable improvement.
Learn moreSolutions
Progress is best made together.
Partner with us at the intersection of data science, social science, and technology to progress from inquiry to insight to impact. Our evidence-informed solutions empower you to see clearly and act quickly.
Partners In Progress
Efficiency Meets Impact.
That's Progress Together.
To solve their most pressing challenges, organizations turn to Mathematica for deeply integrated expertise. We bring together subject matter and policy experts, data scientists, methodologists, and technologists who work across topics and sectors to help our partners design, improve, and scale evidence-based solutions.
Work With Us