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: $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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  • grantee: Harvard University
    amount: $751,941
    city: Cambridge, MA
    year: 2015

    To facilitate social science research on large-scale datasets by expanding the capabilities of Dataverse repository software

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Gary King

    There are currently no academic social science repositories that can routinely handle terabytes of data. This despite the fact that the rise of the Internet and new sensing technologies are creating large new datasets of potential interest to social scientists, like phone usage data or geospatial social media data. This grant supports efforts by Gary King at Harvard University to expand the popular Dataverse platform so that it becomes the first data archiving and management application capable of handling social science data at the terabyte scale. Fully open source, Dataverse is a decentralized web application that allows individual institutions to download and run their own instances. Universities and research labs can manage their data easily while at the same time configuring the system to meet their own needs and comply with their own institutional policies. Funds from this grant will fund the technical development of the Dataverse platform to accommodate the immense logistical and resource challenges posed by “big data” datasets, expanding the power of an increasingly important resource for social scientists everywhere.

    To facilitate social science research on large-scale datasets by expanding the capabilities of Dataverse repository software

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