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: Appalachian State University
    amount: $213,254
    city: Boone, NC
    year: 2017

    To research the economics of energy efficiency, as recommended by a Request for Proposals review committee, by examining how behavioral nudges in the form of electronic notifications impact electricity consumption and energy efficiency program participation

    • Program Energy and Environment
    • Investigator Tanga Mohr

    To research the economics of energy efficiency, as recommended by a Request for Proposals review committee, by examining how behavioral nudges in the form of electronic notifications impact electricity consumption and energy efficiency program participation

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  • grantee: University of California, Davis
    amount: $250,000
    city: Davis, CA
    year: 2017

    To research the economics of energy efficiency, as recommended by a Request for Proposals review committee, by examining the relationship between electricity rate structures and consumer investments in energy efficient appliances

    • Program Energy and Environment
    • Investigator David Rapson

    To research the economics of energy efficiency, as recommended by a Request for Proposals review committee, by examining the relationship between electricity rate structures and consumer investments in energy efficient appliances

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  • grantee: University of California, Berkeley
    amount: $222,289
    city: Berkeley, CA
    year: 2017

    To research the economics of energy efficiency, as recommended by a Request for Proposals review committee, by estimating the impacts of an industrial energy efficiency program on electricity use, water use, and welfare in the agricultural sector

    • Program Energy and Environment
    • Investigator Maximilian Auffhammer

    To research the economics of energy efficiency, as recommended by a Request for Proposals review committee, by estimating the impacts of an industrial energy efficiency program on electricity use, water use, and welfare in the agricultural sector

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  • grantee: University of California, Davis
    amount: $256,933
    city: Davis, CA
    year: 2017

    To research the economics of energy efficiency, as recommended by a Request for Proposals review committee, by studying how changing default participation options in a commercial energy efficiency program impacts program enrollment and energy use

    • Program Energy and Environment
    • Investigator Katrina Jessoe

    To research the economics of energy efficiency, as recommended by a Request for Proposals review committee, by studying how changing default participation options in a commercial energy efficiency program impacts program enrollment and energy use

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  • grantee: Women Make Movies, Inc.
    amount: $50,000
    city: New York, NY
    year: 2017

    To showcase 10 high-profile new media science projects from the U.S. at the 2017 World Congress of Science and Factual Producers

    • Program Public Understanding
    • Sub-program New Media
    • Investigator Barbara Ghammashi

    To showcase 10 high-profile new media science projects from the U.S. at the 2017 World Congress of Science and Factual Producers

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  • grantee: Sponsors for Educational Opportunity, Inc.
    amount: $20,000
    city: New York, NY
    year: 2017

    To promote unrepresented minorities within the investment management industry by maximizing the pipeline of diversity into finance and top business sectors and to ensure that diverse talent is identified early and provided with the access, resources, and professional development needed to succeed

    • Program Initiatives
    • Sub-program New York City Initiatives
    • Investigator Julian Johnson

    To promote unrepresented minorities within the investment management industry by maximizing the pipeline of diversity into finance and top business sectors and to ensure that diverse talent is identified early and provided with the access, resources, and professional development needed to succeed

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  • grantee: Art of Problem Solving Foundation
    amount: $20,000
    city: New York, NY
    year: 2017

    To provide partial support for the BEAM 6 program

    • Program Initiatives
    • Sub-program New York City Initiatives
    • Investigator Ruthi Hortsch

    To provide partial support for the BEAM 6 program

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  • grantee: University of California, Berkeley
    amount: $659,359
    city: Berkeley, CA
    year: 2017

    To support improvements to NumPy, an essential numerical computing utility for the Python programming language

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Jonathan Dugan

    If you are working with data using the Python programming language, you probably rely on an open source software library called NumPy which provides tools to store large multidimensional arrays and matrices, algorithms for their analysis and manipulation, and means to move them from one software package to another. Without NumPy, scientific computing in Python would be slower, more cumbersome, and more error-prone. Initially released in 2005, NumPy’s core code has built up a substantial “technical debt,” which not only constrains the future development of the platform but also creates a high barrier to entry into its open source developer community. This grant supports an ambitious project led by NumPy core developer Nathaniel Smith to discharge this technical debt and set in place standards and architecture to encourage more sustainable development going forward. Using this funding, Smith and a team of developers will develop new modular systems for creating data types and arrays of data within NumPy; conduct a wholesale clean-up of the NumPy codebase; and launch a new community engagement process that includes face-to-face meetings, the onboarding of new contributors, and processes for proposing and evaluating larger architectural changes to the platform.

    To support improvements to NumPy, an essential numerical computing utility for the Python programming language

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  • grantee: Hopewell Fund
    amount: $211,091
    city: Washington, DC
    year: 2017

    To develop centralized coordination capacity within the Data Science Environment partnership for alumni networking, evaluation, and internal and external communications

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Ali Ferguson

    The Moore-Sloan Data Science Environments (DSEs) are a major collaboration between Sloan and the Gordon and Betty Moore Foundation to support three university-based data science centers devoted to empowering data-driven research through the creation of new tools, resources, infrastructure, and career paths that help university researchers make the most of the possibilities that data science opens for the 21st century scientist. Supported centers have been launched at the University of California, Berkeley; NYU; and the University of Washington. This grant provides funds for the hire and support of a DSE coordinator who will take responsibility for internal communication between the DSEs, serve as a visible point of contact for inquiries and outward messaging for best practices coming out of the DSEs, and develop a network to connect and support “alumni” who have in one way or another left the DSE universities and are now building data science capacity at other universities. This new coordinator position will be initially housed within the Hopewell Fund, an arm of the New Venture Fund.

    To develop centralized coordination capacity within the Data Science Environment partnership for alumni networking, evaluation, and internal and external communications

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  • grantee: NumFOCUS
    amount: $497,338
    city: Austin, TX
    year: 2017

    To support the development of data and computational skills training curricula in image analysis, economics, and chemistry

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Tracy Teal

    Data Carpentry is community-driven organization that develops and teaches workshops on the fundamental data skills needed to conduct research. A sister effort to Software Carpentry, which provides researchers with hands-on training in the basic software engineering skills that are increasingly needed for the conduct of 21st century science but are unlikely to be taught in standard scientific PhD curricula, Data Carpentry workshops target researchers who think of themselves not as software developers, but who may write custom code for the management, preparation, and analysis of their research data. Because the size, shape, and format of data differ substantially across disciplines, the “Data Carpentry” curriculum is necessarily domain-specific in a way that Software Carpentry is not. After initial successes in ecology, genomics, geospatial data, and biology, the Data Carpentry leaders will use the funds from this grant to grow into new disciplines (image analysis, economics, and chemistry), in the process standardizing their curriculum development processes in order to make it easier to form new disciplinary communities. Over the next two years, Data Carpentry plans to assemble Advisory Committees for each area of focus, run curriculum-building hackathons, and then pilot each bootcamp several times before releasing to the broader community of Software/Data Carpentry members.

    To support the development of data and computational skills training curricula in image analysis, economics, and chemistry

    More