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.
Understanding the risk factors children face helps strengthen the work of 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, and data-driven evaluations of home visiting and other programs. For ACF, we are conducting a participatory and utilization-focused cross-site evaluation by identifying strategies for adopting, implementing, and sustaining evidence-based home visiting programs to prevent child maltreatment. Also for ACF, we are participating in a multi-site randomized trial evaluation of state grants to fund home visiting services for families with pregnant women and children ages birth to 5, in addition to developing design options for future studies to improve monitoring and assessment of child abuse and neglect reporting. Read more about our child welfare work.
Child Maltreatment Incidence Data Linkages (CMI Data Linkages)
Evaluation of the Roma Parenting Support Projects in Serbia
On this project we provided support to the Results for Development Institute in developing an appropriate evaluation design for the Roma parenting program evaluation sponsored by the Open Society Foundations.
Associate Director of Human Services Research Systems
Mayil Srinivasan specializes in program and project management; product development and implementation; and system analysis, technical design, and integration of various applications.Topics
- Early Childhood
- Child Development
- Child Welfare
- Family Support
- Child Welfare
- TANF and Employment Issues
- Human Services