Social Work, University of Southern California
Cohort Six Fellow

Academic Mentor
Emily Putnam-Hornstein
Assistant Professor, School of Social Work, University of Southern California

Policy Mentor
Mareva Brown
Chief Consultant of Senate Human Services, California State Senate

Research Interests
epidemiology, administrative data, child welfare

Areas of Expertise

Child Welfare and Foster Care Systems, Evidence-Based/Evidence-Informed Programs, Home Visiting and Maltreatment Prevention, Maternal Health, Latent Class Analysis or Cluster Analysis, Longitudinal Data Analysis, Regression Modeling, Adolescents and Young Adults, Dual Language Learners, Formerly Incarcerated Individuals, Homeless Families and Young People, Infants and Toddlers


Andrea Eastman is a doctoral student at USC's School of Social Work and research assistant for the Children's Data Network (CDN). The CDN is a collaborative focused on the application of data to inform programs and policies for children and their families. Andrea’s research interests include using epidemiological methods to analyze administrative data related to child welfare, juvenile justice, and children of incarcerated parents. From 2008 - 2013, Ms. Eastman worked as a legislative aide, committee consultant, and program manager for California State Senator Carol Liu. Her responsibilities included drafting legislation and coordinating hearings related to human services, early education, and public safety. Prior to her legislative work, Ms. Eastman worked as a trauma therapist trainee and treated clients that had been victims of sexual abuse and domestic violence while earning a Master’s in Marriage and Family Therapy from Pepperdine University. She also graduated from UCLA with a BA in psychology.


An Examination of Child Protective Service Involvement among Children Born to Young Mothers in Foster Care

This dissertation will develop new knowledge about children born to mothers in foster care, including next-generation risk of child protective services (CPS) involvement. Birth records from California (2009–2012) will be used to identify all mothers younger than 21 at birth. These records will be probabilistically linked to CPS records to identify mothers who were in foster care at birth or had a history in foster care. Babies born to youth in care will be followed prospectively to calculate rates of CPS involvement. Data will be examined using χ2 tests and multivariable methods (latent class analysis and Cox regression). Case records of reported children born to mothers in care will be examined qualitatively. More youth are likely to be pregnant and parenting while under child welfare supervision and opportunities for intervention are growing. This dissertation will be the first population-level, prospective analysis of children born to mothers in care.