Social Science, Supercharged - Fast Grants for AI-Enabled Research
ForecastedInternal — Stanford University only
Social Science, Supercharged - Fast Grants for AI-Enabled Research supports Stanford researchers using frontier AI to improve social science research and expand its public value.
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Funder: Stanford University
Due Dates (Anticipated): June 2027 (Application deadline)
Funding Amounts: Up to $25,000 for postdocs and PhD students; up to $50,000 for faculty; projects up to 12 months
Summary: Stanford Impact Labs supports frontier AI approaches that improve the speed, quality, relevance, and public value of social science research.
Key Information: Applicants must be Stanford faculty, postdoctoral researchers, or PhD students.
Description
Stanford Impact Labs’ fast grants program supports novel uses of frontier AI that dramatically improve impact-focused social science research. Launched in 2026, the program aims to generate proof points that other researchers can adopt or adapt, expanding the public value of social science. Its broad remit includes unlocking new data, improving methods for generating or testing knowledge, redesigning research workflows through agentic systems, and strengthening how research is evaluated, replicated, translated, or used.
The program welcomes ideas beyond these examples and approaches using either current AI capabilities or anticipating more capable systems. Its focus is AI-enabled research, rather than studying AI’s effects on society. Projects developing or testing AI-powered research methods may fit even when their application domain touches AI adoption.
