Hanno’s research focuses on understanding how early education and care programs and policies support children, families, and communities. She is currently part of the management team for the Measures for Early Success Initiative and BIAS-NG Head Start work. Prior to joining MDRC in 2022, Hanno was a postdoctoral research fellow with the Saul Zaentz Early Education Initiative at the Harvard Graduate School of Education, where she helped lead research efforts on the Early Learning Study at Harvard, a longitudinal, population-based study of young children across Massachusetts. Before her doctoral studies, Hanno was a Head Start educator and then instructional coach for teachers in preschool through fifth grade classrooms in Houston, Texas. Hanno holds a BA in economics and international relations from Tufts University, an Ed.M. in human development and psychology from the Harvard Graduate School of Education, and a Ph.D. in education policy and program evaluation from the Harvard Graduate School of Education.
MDRC PublicationsIssue FocusAugust, 2022
Today’s early education assessment tools fail to capture the complexity of skills in children who are dual language learners (DLLs). In this blog post originally published by New America, Emily Hanno describes three principles that researchers and practitioners believe are important when developing accurate, actionable, and equitable assessment tools for DLLs.
ProjectsJoAnn Hsueh, Amena Sengal, Caroline Schultz, Emily Hanno, Ilana Blum, Katie Beal, Mallory Undestad, Marta Benito-Gomez, Meghan McCormick, Samantha Wulfsohn, Sharon Huang, Ximena Portilla, Brenna Healy
The Measures for Early Success Initiative, led by MDRC with foundational support from the Bill & Melinda Gates Foundation, aims to reimagine the landscape of early learning assessments for three- to five-year-olds in pre-K so that more equitable data can be used to meaningfully support and strengthen early learning experiences for all...