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Learn about the needs of individuals displaced by disasters, how people and communities affected by disaster displacement access human services, and outcomes for affected people and communities.

Hear from fatherhood program staff members and mentors describe their experiences participating in SIRF in their own words.

This webinar supports CCDF Lead Agency staff, their research partners, and others in developing focused and feasible research questions to inform policy and practice.

This webinar provides an overview of the Strengthening Facilitation Skills Curriculum, designed to help facilitators of youth-serving programs improve the quality of their facilitation skills.

These presentation slides summarize the methods and findings from two OPRE studies on post adoption and guardianship instability, including the NSCAW Adoption Study and the Agency Contact Study.

This webinar is designed to support CCDF Lead Agency staff and their partners in using existing administrative data to address policy questions posed by state legislators, agency heads, local child care providers, and other stakeholders.

Child Care and Development Fund (CCDF) Lead Agencies can use research to inform policy and operational decisions. This webinar explains how to contract out for research services to answer policy questions.

Discover a webinar that presents the initial findings from the first nationally representative study of Region XI Head Start programs run by tribal communities.

The Temporary Assistance for Needy Families (TANF) Data Innovation project and the TANF Data Collaborative (TDC) Pilot were established to expand the routine use, integration, and analysis of TANF and employment data by agency staff to improve program services and outcomes for families with low incomes. The 30-month TDC Pilot offered technical assistance and training to support cross-disciplinary teams of staff at eight state and county TANF programs.

The Cross Jurisdiction Model Replication (CJMR) project sought to understand the degree to which a risk prediction model built from population-level and anonymized birth records in one state could be used to differentiate the risk of foster care placement in other jurisdictions.