Small Grants in Computational Social Science (CSS)

Overview

<p>RSF offers small grants to doctoral students at the dissertation stage and recent Ph.D. recipients to support innovative, high-quality research and to encourage young investigators to enter these developing interdisciplinary fields. Small grants are currently offered under the Foundation’s program in Behavioral Economics and its special initiative in Computational Social Science.</p> <p>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, Political, and Economic 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. We are primarily interested in research that explores and improves our understanding of social, psychological, political and economic outcomes.</p> <p>For example, can large-scale administrative data linked with other administrative or survey data provide greater insights on educational policies or practices to improve educational or labor market outcomes? Can machine learning techniques used to analyze large volumes of text in greater depth and detail than previously available help shed greater light on questions around inequality, work or immigration? Can data from social media be linked to more structured data to understand social, economic, or political outcomes?</p>