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Tools and techniques that two-generation programs can use to strengthen their approach to intentionally coordinating services for caregivers and their children.

This webinar aims to support Child Care and Development Fund (CCDF) Lead Agency staff, their research partners, and others who want to learn more about using data and communicating research findings in ways that support equity and inclusion in early childhood systems.

Discover tips for Child Care and Development Fund (CCDF) Lead Agency staff and research partners in a webinar addressing how to find child care and early (CCEE) education research and evidence quickly to address policy questions. The webinar includes information on national and state-specific data and information and highlights Research Connections and Short Reads.

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.

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.

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 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.