Stanford Impact Labs Social Science Supercharged Fast Grants for AI-Enabled Research
Forecasted
Stanford University offers grants for projects using advanced AI to enhance social science research methods, data, and workflows through the Stanford Impact Labs Social Science Supercharged Fast Grants.
Funder: Stanford University
Due Dates (Anticipated): June 2027 (Application deadline, projected)
Funding Amounts: Up to $25,000 for PhD students & postdocs; up to $50,000 for faculty; project period up to 12 months.
Summary: Supports Stanford faculty, postdocs, and PhD students using advanced AI tools to accelerate impact-focused social science research.
Key Information: Only projects leveraging AI to advance social science research (not "social science of AI"); open to Stanford-affiliated applicants only.
Description
Stanford Impact Labs' Social Science Supercharged Fast Grants for AI-Enabled Research is an internal Stanford University funding opportunity for faculty, postdocs, and PhD students. The program seeks proposals that harness frontier AI tools—such as large language models, multimodal systems, and agentic AI—to significantly enhance the speed, quality, or relevance of impact-driven social science research. Projects might involve unlocking or structuring new data, developing novel research methods, rethinking research workflows with AI, or improving the institutions and processes of social science production and evaluation.
The call is intentionally broad, encouraging innovative, scalable approaches that leverage rapidly evolving AI capabilities. Strong proposals will generate transferable insights, tools, or models, and thoughtfully address both the benefits and risks of AI in social science contexts. Awardees are expected to complete their project within 12 months, share key outputs publicly, and present at a demo day.
