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: 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

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  • grantee: University of Minnesota
    amount: $88,725
    city: Minneapolis, MN
    year: 2016

    To plan a consortial model for data curation resource sharing among academic libraries

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Lisa Johnston

    To plan a consortial model for data curation resource sharing among academic libraries

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  • grantee: University of Michigan
    amount: $20,000
    city: Ann Arbor, MI
    year: 2016

    To support a workshop of “rising star” researchers in Computer?Supported Cooperative Work

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

    To support a workshop of “rising star” researchers in Computer?Supported Cooperative Work

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  • grantee: University of Texas, Austin
    amount: $19,583
    city: Austin, TX
    year: 2016

    To support a small summit of ethnographers of data and software practices

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator James Howison

    To support a small summit of ethnographers of data and software practices

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  • grantee: Woodrow Wilson International Center for Scholars
    amount: $500,000
    city: Washington, DC
    year: 2016

    As a final grant to support the growth and expansion of citizen science within and outside of government

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Anne Bowser

    Citizen science projects advance scientific inquiry by enlisting large crowds of volunteers to clean, code, and categorize large datasets in areas where humans still outperform machines. Though the usefulness of citizen science is no longer seriously in doubt, obstacles remain that prevent it from reaching its full potential. A lack of common standards for citizen science data projects makes it difficult to share or repurpose data; regulatory barriers inhibit federal agencies from using citizen science effectively; and the lack of a common repository of information on citizen science projects prevents researchers from taking advantage of what has already been learned. This grant supports efforts by the Commons Lab at the Woodrow Wilson International Center for Scholars to ease some of these barriers. Over the next two years, a team led by Anne Bowser will join with members of the citizen science community to spearhead a grassroots effort to develop common metadata standards; create a database of citizen science projects, develop a platform and API to facilitate citizen science data-sharing, examine the ethical and regulatory barriers to using unpaid volunteers in research projects, and conduct outreach to federal agencies and policymakers about the way in which citizen science can and is being used to further the aims of federal initiatives.

    As a final grant to support the growth and expansion of citizen science within and outside of government

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  • grantee: National Information Standards Organization
    amount: $48,943
    city: Baltimore, MD
    year: 2015

    To partially support a joint international RDA-NISO working group and public symposium on the privacy implications of research data

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Todd Carpenter

    To partially support a joint international RDA-NISO working group and public symposium on the privacy implications of research data

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  • grantee: New York University
    amount: $100,000
    city: New York, NY
    year: 2015

    To partially support an international symposium on the future of Artificial Intelligence research and its impact on society

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Yann LeCun

    To partially support an international symposium on the future of Artificial Intelligence research and its impact on society

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  • grantee: Open Knowledge Foundation
    amount: $690,575
    city: Cambridge, United Kingdom
    year: 2015

    To reduce friction in the research process through the development and broad implementation of a lightweight standard for packaging data

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Rufus Pollock

    The basic process of moving large tabular data from one environment to another is fraught with issues. Ambiguous column headings and messy metadata can make it difficult and time consuming to understand exactly what a data file contains. As researchers move data from repository to research tool (and often through a series of research tools), the opportunities for error proliferate. Rufus Pollock of the Open Knowledge Foundation has developed a lightweight approach to structuring metadata about tabular datasets. With the Pollock approach, tabular datasets are packaged and moved with files that describe the data—datatypes, formatting, source, etc.—allowing research tools like Matlab, Excel, and Stata to appropriately parse the data inside. He describes this “data package” model as the equivalent to a shipping container for data, making it easier to standardize the entire logistics process. Funds from this grant continue development of the Pollock’s “data package” standard. Funded activities include the development of validators and extensions that would make it easy to export and import data packages from standard research tools (essentially adding new “Save As” and “Open” options); outreach to specific user communities to model use of the specification for individual disciplinary communities; the launch of several pilot projects integrating the data package model into existing user workflows; and building a broader development community around the need for better tools for efficient and trusted storage, transport, and analysis of large tabular data.

    To reduce friction in the research process through the development and broad implementation of a lightweight standard for packaging data

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  • grantee: Council on Library and Information Resources
    amount: $738,756
    city: Washington, DC
    year: 2015

    To support data and software curation postdoctoral fellowships, in order to develop emerging leaders in the field and encourage permanent staffing solutions within academic libraries

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Charles Henry

    This grant provides partial funding for eight postdoctoral fellowships in Data Curation for the Sciences and Social Sciences. Though the fellowship program is administered by the Council on Library and Information Resources (CLIR), fellows are appointed at host institutions, where they work on digital initiatives that marshal a university’s technical, archival, and library resources in service to the data curation and management needs of the institution’s researchers.  Of the eight fellowships supported, four will focus on software curation, the growing archival field that seeks to preserve the software programs and platforms developed for and as a result of scientific research.  In addition to providing fellowship support, grant funds will expand the fellowship program to include improved education and training on software curation, both among the fellows and at participating host institutions.

    To support data and software curation postdoctoral fellowships, in order to develop emerging leaders in the field and encourage permanent staffing solutions within academic libraries

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