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: University of Missouri, Columbia
    amount: $104,906
    city: Columbia, MO
    year: 2016

    To study health and sustainability of open online communities and develop a set of indicators thereof

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Sean Goggins

    To study health and sustainability of open online communities and develop a set of indicators thereof

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  • grantee: Mozilla Foundation
    amount: $750,000
    city: Mountain View, CA
    year: 2016

    To increase open source project and community management capacity and build community among scientific software developers

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Stephanie Wright

    As computers and computational analysis becomes an increasingly central part of scientific practice, more and more scientists are becoming better and better at writing and amending software and code. What scientists often don’t know how to do, however, is to transition a piece of software from something built in their own lab to a sustainable open source, community-driven project. Open source software development, however, has proven to be one of the singularly most influential paths to widespread adoption, dissemination, and innovation in software development. In order for open source to be a viable sustainability strategy for some scientific software, there needs to be better support and training for scientists to “do open source.” This grant funds an initiative at the Mozilla Foundation to help train scientists in the launch and management of open source software development projects. Funded activities include the development of an expanded open science curriculum that details best practices for open source software development, project management, community organizing and facilitation, engaging noncoders, and data management. Additional grant funds support a series of workshops, online chats, and conference calls on these and related topics and and a community-based mentorship program.

    To increase open source project and community management capacity and build community among scientific software developers

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  • 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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