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AI in Science (Exploratory Grantmaking) is sponsored by Alfred P. Sloan Foundation. The Sloan Foundation's exploratory grantmaking in technology includes 'AI in Science' as a current area of interest.
This focuses on identifying emerging new sectors, tools, and methods of working with AI that have potential but may not yet receive mainstream funding.
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Exploratory Grantmaking in Technology Exploratory grantmaking is intended to bring community needs and priorities into sharper focus and allow the Foundation to determine whether there is a clear strategy and potential impact in a specific area.
Supported activities may include workshops and other expert convenings, early technology development and prototyping, landscape analyses, development of protocols and standards, initial research on and engagement with potential user communities, and demonstration or other proof-of-concept projects.
Ideal focus areas lie at the intersection of research and technology, are sufficiently limited that the Foundation could make an impact with its available resources, and involve issues for which public or private funding is scarce or unavailable. The complexity and opacity of AI-driven research methods has raised new questions about the degree to which their results can or should be trusted to advance scientific research.
Current areas of interest include: reproducibility and transparency of machine learning-enabled science; ways that the philosophy of science and related fields might help to inform the optimal uses of machine learning to produce new knowledge; and the relative value of foundation models vs. good old fashioned machine learning for scientific discovery.
Advances in robotics can enable the automation of many aspects of scientific lab and field work, especially when coupled with AI to dramatically accelerate iterative cycles of discovery. Though not substantially funding the implementation of these systems at scale, we are currently exploring their optimal uses by researchers as well as the institutional structures to support them.
Announcing the Metascience & AI Postdoctoral Fellows Interested grantseekers should email a letter of inquiry of no more than two pages to [email protected] .
Exploratory Grantmaking in Technology /programs/digital-technology/exploratory-grantmaking-in-technology To continually monitor the landscape of emerging technology with the aim of identifying emerging new sectors, tools, and methods of working that we believe have potential, but which may not yet receive funding from mainstream/other sources.
Exploratory grantmaking is intended to bring community needs and priorities into sharper focus and allow the Foundation to determine whether there…
Based on current listing details, eligibility includes: Organizations engaged in research at the intersection of research and technology, including universities (based on recent grants to Northern Arizona University, Northeastern University, and Purdue University). Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies (recent grants observed from ~$100,000 to ~$400,000) Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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