Grants Database

The Foundation awards approximately 200 grants per year (excluding the Sloan Research Fellowships), totaling roughly $80 million dollars in annual commitments in support of research and education in science, technology, engineering, mathematics, and economics. This database contains grants for currently operating programs going back to 2008. For grants from prior years and for now-completed programs, see the annual reports section of this website.

Grants Database

Grantee
Amount
City
Year
  • grantee: Harvard University
    amount: $483,047
    city: Cambridge, MA
    year: 2026

    To study the quantity and quality of caregiving, including the causal impact of wage rates, using new data about previously invisible relationships between patients and caregivers in minimally regulated labor markets

    • Program Research
    • Sub-program Economics
    • Investigator Anna Russo

    To study the quantity and quality of caregiving, including the causal impact of wage rates, using new data about previously invisible relationships between patients and caregivers in minimally regulated labor markets

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  • grantee: Harvard University
    amount: $391,680
    city: Cambridge, MA
    year: 2026

    To help restructure the allocation of scientific resources and credit given the growing use of Artificial Intelligence by drawing on ideas about market design, experimental design, contract theory, and industrial organization

    • Program Research
    • Sub-program Economics
    • Investigator Kyle Myers

    To help restructure the allocation of scientific resources and credit given the growing use of Artificial Intelligence by drawing on ideas about market design, experimental design, contract theory, and industrial organization

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  • grantee: University of Michigan
    amount: $1,000,000
    city: Ann Arbor, MI
    year: 2026

    To undertake an interdisciplinary research project examining the factors that contribute to community-engaged urban energy transitions, resulting from an Open Call on Energy System Interactions in the United States

    • Program Research
    • Sub-program Energy and Environment
    • Investigator Tony Reames

    To undertake an interdisciplinary research project examining the factors that contribute to community-engaged urban energy transitions, resulting from an Open Call on Energy System Interactions in the United States

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  • grantee: University of Missouri, Columbia
    amount: $98,395
    city: Columbia, MO
    year: 2026

    To transition CHAOSS community management to a distributed volunteer leadership model

    • Program Technology
    • Sub-program Open Source in Science
    • Investigator Sean Goggins

    To transition CHAOSS community management to a distributed volunteer leadership model

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  • grantee: Oregon State University
    amount: $500,000
    city: Corvallis, OR
    year: 2026

    To undertake an interdisciplinary research project studying the factors contributing to grid-scale battery electric storage system (BESS) siting outcomes, resulting from an Open Call on Energy System Interactions in the United States

    • Program Research
    • Sub-program Energy and Environment
    • Investigator Shawn Hazboun

    To undertake an interdisciplinary research project studying the factors contributing to grid-scale battery electric storage system (BESS) siting outcomes, resulting from an Open Call on Energy System Interactions in the United States

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  • grantee: Clemson University
    amount: $50,000
    city: Clemson, SC
    year: 2026

    To study the impact of energy transitions on labor market outcomes for workers, companies, and communities

    • Program Research
    • Sub-program Energy and Environment
    • Investigator Yichen Christy Zhou

    To study the impact of energy transitions on labor market outcomes for workers, companies, and communities

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  • grantee: Stanford University
    amount: $45,244
    city: Stanford, CA
    year: 2026

    To host a workshop that explores the relationship between democratic institutions and publicly funded research

    • Program Research
    • Sub-program Economics
    • Investigator Margaret Levi

    To host a workshop that explores the relationship between democratic institutions and publicly funded research

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  • grantee: Aspen Center for Physics
    amount: $50,000
    city: Aspen, CO
    year: 2026

    To reduce barriers to participation in the summer programs of the Aspen Center for Physics for early-career scientists

    • Program Research
    • Sub-program Small-Scale Fundamental Physics
    • Investigator Zoltan Ligeti

    To reduce barriers to participation in the summer programs of the Aspen Center for Physics for early-career scientists

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  • grantee: Technical University of Munich
    amount: $719,670
    city: München, Germany
    year: 2025

    To create synthetic cells capable of reproduction and evolution by endowing vesicles with genotypes that impact a cell’s ability to survive and reproduce

    • Program Research
    • Sub-program Matter-to-Life
    • Investigator Job Boekhoven

    The encoded, heritable information that plays a large role in determining an organism’s traits is known as the organism’s genotype. In natural organisms, genotypes are specified by an organism’s DNA. By contrast, an organism’s observable traits (its phenotype) are determined by proteins produced from the information encoded in DNA. All known forms of life use this dual-molecule structure: distinct molecules for genotype vs. phenotype. Separating the molecular basis of genotype and phenotype, however, is thought to be a highly evolved approach to leveraging and expressing information, and it’s conjectured that the earliest forms of life employed a simpler system whereby one type of molecule specified both the organism’s genotype and phenotype. This grant supports work led by Job Boekhoven, a Professor of Supramolecular Chemistry at the Technical University of Munich, to construct a purely synthetic cellular system (one composed of non-biological molecules) that is at once both self-replicating and capable of evolution, yet uses a single molecule for both genotype and phenotype. Boekhoven and his team aim to develop a chemical system of self-replicating molecules that encodes heritable information (i.e. develop a genotype) and then incorporate these ‘genes’ into artificial vesicles that can divide.Some of these self-replicating molecules will be engineered to have measurable effects on the larger vesicle, affecting characteristics of the vesicle membrane and cytoplasm, thus coupling the cell’s genotype with its phenotype. This would pave the way for further experimentation, not funded by this grant, that would demonstrate that these phenotypic expressions could be adaptive or maladaptive in various environments, and thus form the basis for evolutionary selection.

    To create synthetic cells capable of reproduction and evolution by endowing vesicles with genotypes that impact a cell’s ability to survive and reproduce

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  • grantee: Brookings Institution
    amount: $100,000
    city: Washington, DC
    year: 2026

    To pilot AI-enabled workflows that support and enhance collective intelligence for complex problem solving

    • Program Technology
    • Sub-program Scientific Collaboration
    • Investigator Jacob Taylor

    To pilot AI-enabled workflows that support and enhance collective intelligence for complex problem solving

    More
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