The Russell Sage Foundation’s initiative on Computational Social Science

Sponsor:

The Russell Sage Foundation

Deadline:

Letter of Intent: 2 p.m. EST on August 21, 2017

Invited Proposal: 2 p.m. EST on November 15, 2017

Summary:

The Russell Sage Foundation’s initiative on Computational Social Science (CSS) supports innovative social science research that brings new data and methods to bear on questions of interest in its core programs in Behavioral Economics, Future of Work, Race, Ethnicity and Immigration, and Social Inequality. Limited consideration will be given to questions that pertain to core methodologies, such as causal inference and innovations in data collection.

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.

See RFP link below for examples of research (some recently funded by RSF) that are of interest.

Eligibility:

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.

Funding is available for secondary analysis of data or for original data collection. We are especially interested in novel uses of new or under-utilized data and new methods for analyzing these data. Smaller projects might consist of a pilot study to demonstrate proof-of-concept. RSF encourages methodological variety and inter-disciplinary collaboration. Proposed projects must have well-developed conceptual frameworks and research designs. Analytical models must be specified and research questions and hypotheses (where applicable) must be clearly stated.

Available Funding:

Awards are available for research assistance, data acquisition, data analysis, and investigator time for conducting research and writing up results (within our budget guidelines). Applications must be limited to no more than a two-year period, with a maximum of $150,000 per project (including overhead). Presidential Awards, with a maximum budget of $35,000 ($50,000 if new data collection/access costs are included; no overhead allowed) are also available.

Link to Full RFP:

http://www.russellsage.org/call-proposals-computational-social-science