Foundation / Corporation
Russell Sage Foundation (RSF)
11/21/19 2:00 PM ET / 11:00 AM PT
Grants to USA researchers to support social sciences research addressing behavioral economics, social inequality, the future of the workforce, immigration, race, and ethnicity. Applicants must submit an LOI prior to submitting a full application. This program supports the use of new data and analysis methods to examine questions within these key areas.
Social science research on many topics has often been hampered by the limitations of survey data. However, the digital age has rapidly increased access to large and comprehensive data sources such as public and private administrative databases, and unique new sources of information from online transactions, social-media interactions, and internet searches. New computational tools also allow for the extraction, coding, and analysis of large volumes of text. Advances in analytical methods for exploiting and analyzing data have accompanied the rise of these data. The emergence of these new data also raises questions about access, privacy and confidentiality.
Some inquiries may also be considered by the Alfred P. Sloan Foundation for joint funding, especially projects with larger scale potential that relate to behavioral economics, the economics of science and technology, regulation and industrial organization, as well as privacy, empirical methodologies, economic measurement, or administrative data curation generally.
Applicants should specify how the proposed project informs and advances RSF’s computational social science research priorities in its core program areas: Behavioral Economics, Future of Work, Race, Ethnicity and Immigration, and Social Inequality. RSF values reproducibility and open science, and where applicable, investigators should explain their data release plan (data, code, codebooks) or any prohibitions on providing such materials.
Examples of research (some recently funded by RSF) that are of interest include, but are not restricted to, the following:
- Small Grants Competitions with Big Data
- Linked Administrative Data
- Algorithms and Automated Decision-Making
- Private Administrative Data
- Online Surveys and Experiments
- Text Analysis
- Social Media
Projects that use newly-available data or make new linkages across data sources have a higher priority than projects that analyze only public use data from widely available data sets.
Examples of the kinds of questions that are of interest can be found on the Foundation’s website at the URL for Full Text below.
GrantWatch ID#: 183561
Trustee Grants are generally capped at $175,000, including 15% indirect costs. Projects that use publicly available data are capped at $75,000, including indirect costs. Presidential Grants are capped at $35,000 (no indirect costs). In some circumstances, PIs may request up to $50,000 (no indirect costs) when the proposed research project has special needs for gathering data (e.g.: qualitative research) or gaining access to restricted-use data.
Projects are limited to no more than two years; RSF may consider longer projects in exceptional circumstances.
Before starting your grant application, please review the funding source's website listed below for updates/changes/addendums/conferences/LOIs.
Submit an LOI: https://rsf.fluxx.io/user_sessions/new
General inquiries about the foundation's project grants and programs may be directed to the foundation's main line at (212) 750-6000 or email@example.com.
Nora Mitnick, Senior Grants Manager
Russell Sage Foundation
112 E. 64th Street
New York, NY 10065
USA: Alabama; Alaska; Arizona; Arkansas; California; Colorado; Connecticut; Delaware; Florida; Georgia; Hawaii; Idaho; Illinois; Indiana; Iowa; Kansas; Kentucky; Louisiana; Maine; Maryland; Massachusetts; Michigan; Minnesota; Mississippi; Missouri; Montana; Nebraska; Nevada; New Hampshire; New Jersey; New Mexico; New York City; New York; North Carolina; North Dakota; Ohio; Oklahoma; Oregon; Pennsylvania; Rhode Island; South Carolina; South Dakota; Tennessee; Texas; Utah; Vermont; Virginia; Washington, DC; Washington; West Virginia; Wisconsin; Wyoming