REGISTER HERE: https://stanford.io/2HgOTy6

Racial, socioeconomic, and gender disparities in academic performance are pervasive features of the U.S. educational system. Graduate School of Education Professor sean reardon will discuss how the publicly-accessible Stanford Education Data Archive (SEDA) harnesses data to help scholars, policymakers, educators, and parents learn how to improve educational opportunity for all children.

Join us for appetizers, drinks, and a conversation plus Q&A with sean. Guests are welcome to attend. Kindly register by Friday, April 27.

About the Speaker
sean reardon is Professor of Poverty and Inequality in Education and Professor (by courtesy) of Sociology and Director of the Stanford Interdisciplinary Doctoral Training Program in Quantitative Education Policy Analysis. His research focuses on the causes, patterns, trends, and consequences of social and educational inequality, the effects of educational policy on educational and social inequality, and in applied statistical methods for educational research. Learn more about sean.

About SEDA
The Stanford Education Data Archive (SEDA) includes a range of detailed data on educational conditions, contexts, and outcomes in school districts and counties across the United States. It includes measures of academic achievement and achievement gaps for school districts and counties, as well as district-level measures of racial and socioeconomic composition, racial and socioeconomic segregation patterns, and other features of the schooling system. Learn more about SEDA.