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 Colorado, Boulder
    amount: $124,856
    city: Boulder, CO
    year: 2015

    To compile case studies of strategies and demand for stewardship of digital research data

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Myron Gutmann

    To compile case studies of strategies and demand for stewardship of digital research data

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  • grantee: NumFOCUS
    amount: $20,000
    city: Austin, TX
    year: 2015

    To support travel by students and junior faculty to a workshop focused on the development scientific software in the R statistical computing language

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Karthik Ram

    To support travel by students and junior faculty to a workshop focused on the development scientific software in the R statistical computing language

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  • grantee: Indiana University
    amount: $748,000
    city: Bloomington, IN
    year: 2014

    To fund early career fellowships that support work with the Research Data Alliance on projects that promote data sharing

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Beth Plale

    Funds from this grant provide three years of support for the expansion of a fellowship program hosted by the Research Data Alliance (RDA), an international community organization of researchers and innovators who have come together to build the social and technical infrastructure need to enable the open sharing of data. These fellowships offer summer funding and travel support to graduate students and postdocs with data science skills or training who will assist RDA’s various working groups on one or more specific projects.  To ensure that projects are aligned with each fellow’s primary work, the application process requires nomination by a candidate’s advisor or supervisor.  Sloan Foundation funds will support 30 fellows over the next three years.

    To fund early career fellowships that support work with the Research Data Alliance on projects that promote data sharing

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  • grantee: NumFOCUS
    amount: $10,000
    city: Austin, TX
    year: 2014

    To partially support a summit of grassroots organizations that foster diversity in the technology sector

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Gregory Wilson

    To partially support a summit of grassroots organizations that foster diversity in the technology sector

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  • grantee: Northwestern University
    amount: $15,000
    city: Evanston, IL
    year: 2014

    To partially support the 2015 Computational Sociology Summit

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Brian Uzzi

    To partially support the 2015 Computational Sociology Summit

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  • grantee: Columbia University
    amount: $19,385
    city: New York, NY
    year: 2014

    To support a workshop on the history of data science and the use of data in the history of science more broadly

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

    To support a workshop on the history of data science and the use of data in the history of science more broadly

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  • grantee: New York University
    amount: $15,000
    city: New York, NY
    year: 2014

    To support a workshop and hackathon on crowdfunding and scientific projects

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Nancy Hechinger

    To support a workshop and hackathon on crowdfunding and scientific projects

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  • grantee: University of Maryland, College Park
    amount: $19,858
    city: College Park, MD
    year: 2014

    To partially support a meeting to share best practices and opportunities in scholarly crowdsourcing across the sciences and humanities

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Neil Fraistat

    To partially support a meeting to share best practices and opportunities in scholarly crowdsourcing across the sciences and humanities

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  • grantee: University of California, Berkeley
    amount: $301,383
    city: Berkeley, CA
    year: 2014

    To develop open source R software and training to support various parts of the research process including data publication, data integration, and reproducibility

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Karthik Ram

    In 2013, the Foundation approved a one?year grant to rOpenSci, a collective of data scientists, to build and promote a suite of “packages” for R, a powerful programming language and software environment for statistical computing and graphics.  The packages aimed to greatly simplify the process of gathering data from various archives and services commonly used by researchers.  Such software modules dramatically lower the barriers to R use, freeing researchers from having to write their own idiosyncratic code when parsing data from commonly used repositories like Dryad, the Global Biodiversity Information Facility, or the Biodiversity Heritage Library. This grant provides continued support for this project.  The project team will continue software development, shifting their focus to several generic needs like spatial data analysis and the submission of data to repositories for publication, as well as supporting R interoperability with popular emerging tools for data management like Dat.  To further lower barriers to R use in data-driven research, rOpenSci will also develop openly licensed curricular “modules” that could be incorporated into graduate seminars or informal workshops.  In speed adoption, rOpenSci will cultivate an initial cohort of a dozen “ambassadors” from across the natural and social sciences who will develop domain-specific R packages and lead various outreach and community-building efforts in their home disciplines.

    To develop open source R software and training to support various parts of the research process including data publication, data integration, and reproducibility

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  • grantee: University of Wisconsin, Madison
    amount: $180,535
    city: Madison, WI
    year: 2014

    To conduct a set of case studies on the sustainability of social science data archives

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Kristen Eschenfelder

    Funds from this grant support efforts by an international team of researchers including Kristin Eschenfelder and Greg Downey of the University of Wisconsin, Madison School of Library and Information Studies and Kalpana Shankar at the University College Dublin School of Information and Library Studies to develop a set of case studies of social science data archives. Beginning with a pilot case study already underway of the University of Michigan’s Interuniversity Consortium for Political and Social Research, the team will select a cohort of up to five data archives for study that meet specific criteria, including longevity, collections that are contributed by others, and funding models that do not rely on direct government support.  The researchers will draw on interviews and archival research to develop detailed histories of these archives with a particular focus on how they evolved their current access policies and business models.  The ensuing case studies will help provide a more robust foundation for discussions about how data archives might be made sustainable over the long term.

    To conduct a set of case studies on the sustainability of social science data archives

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