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: Abt Associates
    amount: $958,389
    city: Cambridge, MA
    year: 2016

    To complete an evaluation of the Moore-Sloan Data Science Environments

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Luba Katz

    In 2013, the Foundation partnered with the Gordon and Betty Moore Foundation to launch a five-year, $37.8 million initiative that aspired to advance data-intensive scientific discovery, empowering researchers to be vastly more effective by utilizing new methods, new tools, new partnerships, and new career paths. The initiative led to the funding of three university partnerships, one with New York University, one with the University of California, Berkeley, and one with the University of Washington, to create Data Science Environments (DSEs) that would innovate new models for advancing data science at American universities. The centers would focus on three core goals: crafting meaningful interactions between data scientists and disciplinary scientists, experimenting with long-term, sustainable career paths for data scientists in the university system, and developing new analytical tools and research practices that will empower scholars to work effectively with data. Funds from this grant support a team at Abt Associates to document and evaluate the individual and joint progress of the three Moore-Sloan Data Science Environments. Combining qualitative and quantitative data collection and analysis, the Abt team will document DSE goals and activities, provide annual reports to each DSE on its progress, and produce three major reports: a landscape survey of data science efforts in top U.S. research universities broadly (to contextualize the DSE activities); an implementation study of the actual execution of the DSE activities at the three universities; and an impact study that aims to understand the consequences of the unique DSE interventions on individual career paths and research outcomes as well as on institutional structures.

    To complete an evaluation of the Moore-Sloan Data Science Environments

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  • grantee: University of Washington
    amount: $1,100,000
    city: Seattle, WA
    year: 2016

    To advance data-intensive scientific discovery, empowering researchers to be vastly more effective by utilizing new methods, new tools, new partnerships, and new career paths

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Ed Lazowska

    In 2013, the Foundation partnered with the Gordon and Betty Moore Foundation to launch a five-year, $37.8 million initiative that aspired to advance data-intensive scientific discovery, empowering researchers to be vastly more effective by utilizing new methods, new tools, new partnerships, and new career paths. The initiative led to the funding of three university partnerships, one with New York University, one with the University of California, Berkeley, and one with the University of Washington, to create Data Science Environments (DSEs) that would innovate new models for advancing data science at American universities. The centers would focus on three core goals: crafting meaningful interactions between data scientists and disciplinary scientists, experimenting with long-term, sustainable career paths for data scientists in the university system, and developing new analytical tools and research practices that will empower scholars to work effectively with data. Initial funding in 2013 was for three years. This grant provides the anticipated final two years of funding.  

    To advance data-intensive scientific discovery, empowering researchers to be vastly more effective by utilizing new methods, new tools, new partnerships, and new career paths

    More
  • grantee: New York University
    amount: $1,100,000
    city: New York, NY
    year: 2016

    To advance data-intensive scientific discovery, empowering researchers to be vastly more effective by utilizing new methods, new tools, new partnerships, and new career paths

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Juliana Freire

    In 2013, the Foundation partnered with the Gordon and Betty Moore Foundation to launch a five-year, $37.8 million initiative that aspired to advance data-intensive scientific discovery, empowering researchers to be vastly more effective by utilizing new methods, new tools, new partnerships, and new career paths. The initiative led to the funding of three university partnerships, one with New York University, one with the University of California, Berkeley, and one with the University of Washington, to create Data Science Environments (DSEs) that would innovate new models for advancing data science at American universities. The centers would focus on three core goals: crafting meaningful interactions between data scientists and disciplinary scientists, experimenting with long-term, sustainable career paths for data scientists in the university system, and developing new analytical tools and research practices that will empower scholars to work effectively with data. Initial funding in 2013 was for three years. This grant provides the anticipated final two years of funding.  

    To advance data-intensive scientific discovery, empowering researchers to be vastly more effective by utilizing new methods, new tools, new partnerships, and new career paths

    More
  • grantee: University of California, Berkeley
    amount: $1,100,000
    city: Berkeley, CA
    year: 2016

    To advance data-intensive scientific discovery, empowering researchers to be vastly more effective by utilizing new methods, new tools, new partnerships, and new career paths

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Saul Perlmutter

    In 2013, the Foundation partnered with the Gordon and Betty Moore Foundation to launch a five-year, $37.8 million initiative that aspired to advance data-intensive scientific discovery, empowering researchers to be vastly more effective by utilizing new methods, new tools, new partnerships, and new career paths. The initiative led to the funding of three university partnerships, one with New York University, one with the University of California, Berkeley, and one with the University of Washington, to create Data Science Environments (DSEs) that would innovate new models for advancing data science at American universities. The centers would focus on three core goals: crafting meaningful interactions between data scientists and disciplinary scientists, experimenting with long-term, sustainable career paths for data scientists in the university system, and developing new analytical tools and research practices that will empower scholars to work effectively with data. Initial funding in 2013 was for three years. This grant provides the anticipated final two years of funding.  

    To advance data-intensive scientific discovery, empowering researchers to be vastly more effective by utilizing new methods, new tools, new partnerships, and new career paths

    More
  • grantee: Rensselaer Polytechnic Institute
    amount: $16,275
    city: Troy, NY
    year: 2016

    To partially sponsor the public activities of the 2016 International Data Week

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Mark Parsons

    To partially sponsor the public activities of the 2016 International Data Week

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  • grantee: University of Illinois
    amount: $20,000
    city: Urbana, IL
    year: 2016

    To partially fund the 2016 Working towards Sustainable Software for Science: Practice and Experiences meeting

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Daniel Katz

    To partially fund the 2016 Working towards Sustainable Software for Science: Practice and Experiences meeting

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  • grantee: Johns Hopkins University
    amount: $10,000
    city: Baltimore, MD
    year: 2016

    To partially support the 2016 IEEE eScience Conference

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Alexander Szalay

    To partially support the 2016 IEEE eScience Conference

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  • grantee: University Corporation for Atmospheric Research
    amount: $20,000
    city: Boulder, CO
    year: 2016

    To support a workshop and related activities on the rescue of at-risk data

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Matthew Mayernik

    To support a workshop and related activities on the rescue of at-risk data

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  • grantee: NumFOCUS
    amount: $598,000
    city: Austin, TX
    year: 2016

    To build capacity for business planning and industry engagement within NumFOCUS

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Leah Silen

    NumFOCUS (the NumPy Foundation for Open Code for Usable Science) is a nonprofit founded to handle funds and act as a fiscal sponsor for many essential projects in the open source data science software stack, including several Sloan grantees. Projects choose to affiliate with NumFOCUS for mostly logistical reasons: lower overhead costs than universities; less-bureaucratic finance operations; and greater flexibility for operating across countries and organizations (e.g., hiring a research assistant at a third-party organization). The collection of so many open source projects under one umbrella, however, promises the opportunity to rapidly circulate best practices among member projects. One of the biggest issues shared across the NumFOCUS portfolio is project sustainability. Fund from this grant will help NumFOCUS build capacity in the areas of business planning and industry outreach to serve its portfolio of projects. Funding includes two years of support for a projects director, for efforts to build relationships with industry sponsors, for an annual workshop on business models and sustainability strategies for member projects, and to provide business plan and sustainability mentoring for projects that request it.

    To build capacity for business planning and industry engagement within NumFOCUS

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  • grantee: Abt Associates
    amount: $124,966
    city: Cambridge, MA
    year: 2016

    To complete planning and pilot baseline data collection for an evaluation of the Moore-Sloan Data Science Environment grants

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Joseph Taylor

    To complete planning and pilot baseline data collection for an evaluation of the Moore-Sloan Data Science Environment grants

    More