Also in 2014, the Russell Sage Foundation launched a study with the Washington Center for Equitable Growth that examined how differences in home environments may play a role in explaining the skills gaps, and whether home environments, especially for disadvantaged children, are deteriorating relative to those of affluent children over time.
That same year, the Russell Sage Foundation completed a study with the Spencer Foundation that focused both on the educational performance of disadvantaged students, as well as on the differences in outcomes between rich and poor students. The study resulted in two books: Whither Opportunity? and Restoring Opportunity (Harvard Education Press, 2014).
In 2015 the Russell Sage Foundation partnered with the Robert Wood Johnson Foundation on an initiative exploring the social, economic and political effects of the Affordable Care Act (ACA). Research funded through this collaboration addresses important questions about the consequences of health care reform in the U.S.—from financial security and family economic well-being, to labor supply and demand, participation in other public programs, family and children’s outcomes, differential effects by race/ethnicity/nativity or disability status, and politics and views of government.
In 2016, the Russell Sage Foundation partnered with the William T. Grant Foundation to build a data archive that covers every public school and school district in the United States. The database will serve to foster new research on policies, practices and programs that are most likely to reduce educational inequality.
In 2017, the foundation partnered with the Carnegie Corporation to launch a special initiative on Immigration and Immigrant Integration and with the Ford Foundation to launch a special initiative on Integrating Biology and Social Science Knowledge. RSF also partnered with the Robin Hood Foundation for a forthcoming RSF journal issue on anti-poverty initiatives in the U.S. and with the Bill & Melinda Gates Foundation for a forthcoming RSF journal issue on using administrative data for science and policy.