Mathematica-mpr.com is now Mathematica.org. Please update your bookmarks. Learn more about this change.
Understanding the risk factors children face helps strengthen the work of child welfare agencies and programs. Mathematica contributes to these efforts by advancing research on child welfare programs. We work across a range of issues to provide expertise on the design of child abuse and neglect studies, evaluation technical assistance for homelessness prevention efforts, predictive analytics on service usage, and data-driven evaluations of home visiting and other programs. Read more about our child welfare work.
Child Maltreatment Incidence Data Linkages (CMI Data Linkages)
The Child Maltreatment Incidence Data Linkages project examines the feasibility of using linked administrative data to understand child maltreatment incidence and related risk and protective factors.
Fathers and Continuous Learning in Child Welfare
Evidence suggests that positive father involvement can improve child well-being outcomes. This project will test the use of the Breakthrough Series Collaborative to strengthen the engagement of fathers and paternal relatives with children involved in the child welfare system.
Senior Child Welfare Lead
Allon Kalisher is a hands-on expert in child welfare programs, policies, and data. He has more than 20 years of experience working in a state child welfare system, from the frontline to senior leadership roles in operations and strategic, analytic, and quality improvement.Topics
- Human Services
- Early Childhood
- Child Welfare
- Juvenile Justice
- Family Support
- Child Welfare