300 Million Test Scores and What Do We Know? Educational Opportunity and Inequality in the US
Sean Reardon is the endowed Professor of Poverty and Inequality in Education and is Professor (by courtesy) of Sociology at Stanford University.
Sean Reardon is the endowed Professor of Poverty and Inequality in Education and is Professor (by courtesy) of Sociology at Stanford University.
Dr. Jenn Dowd is currently Senior Lecturer (Associate Professor) in Global Health in the Department of Global Health and Social Medicine, King's College London.
Christopher Browning is Distinguished Professor of Sociology and an affiliate of the Institute for Population Research at Ohio State University.
Professor Barrington’s research examines social and structural influences on health and health behaviors, with a focus on HIV among female sex workers (FSW), men who have sex with men (MSM), and transgender women in Latin America and Latino migrants in the United States.
Alexandra (Sasha) Killewald is Professor of Sociology, as well as a faculty member in the Harvard Center for Population and Development Studies.
M. Giovanna Merli is Professor of Public Policy, Sociology and Global Health in the Sanford School of Public Policy, Duke University.
Professor Weir’s research interests relate to methods that identify and characterize local sexual and injecting drug use networks in resource poor settings.
Kate Weisshaar is a sociologist whose research focuses on gender and economic stratification processes within families, workplaces, and society, with an interest in developing critical tests of causal processes by leveraging data and quantitative methods.
Professor Warren is a sociologist, demographer, population health scholar, and education policy researcher with experience and expertise in the collection, production, and dissemination of large-scale data products for research on health, aging, education, and labor force outcomes.
Annie Green Howard has considerable expertise in high-dimensional exposure modeling, longitudinal and multilevel modeling, multivariate, pathway and structural equation modeling, latent variables, and missing data.