Inequality

RSF’s initiative on Computational Social Science supports innovative social science research that utilizes new data and methods to advance our understanding of the research issues that comprise its core social science programs in Social Inequality, Behavioral Economics, Future of Work, and Race, Ethnicity and Immigration. Limited consideration will be given to research that focuses primarily on methodologies, such as causal inference and innovations in data collection.

RSF will accept letters of inquiry (LOIs) under all of its core programs and special initiatives: Behavioral Science and Decision Making in Context; Future of Work; Immigration and Immigrant Integration; Race, Ethnicity and Immigration; Social, Political, and Economic Inequality. In addition, RSF will also accept LOIs relevant to any of its core programs that address at least one of the following issues: research on the Covid-19 pandemic and the resulting recession in the U.S. OR research focused on systemic racial inequality and/or the recent mass protests in the U.S.

The goal of this Funding Opportunity Announcement (FOA) is to efficiently use the existing cancer registry infrastructure by augmenting data already collected with additional information needed to understand health disparities among people diagnosed with cancer. Specifically, this FOA will support the study of factors influencing observed health disparities within the framework of population-based cancer registries by the inclusion of data not routinely collected by or linked to the registries.