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 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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  • grantee: Adler Planetarium
    amount: $707,648
    city: Chicago, IL
    year: 2014

    To support a sustainable future for the rapidly expanding Zooniverse platform through an engaged and empowered community of citizen scientists

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Christopher Lintott

    Raw data needs preparation to be useful for research. In some cases, what is needed is cleanup and normalization; in others, tagging or categorization of dataset elements. Depending on the domain and kind of data, computers can do much of the necessary work, but some tasks, due to fuzziness or complexity in the data, are currently beyond the bounds of computation. Much data prep requires human eyes, human minds, human judgment, and human labor, a daunting demand when the size of many modern scientific datasets is measured in terabytes. The Zooniverse project, an international effort initially based at Oxford University and now housed primarily at the Adler Planetarium in Chicago, offers a straightforward solution to this problem: divide the work into very granular tasks, gather a large crowd of science enthusiasts, and let them loose on the data.  The result has been remarkably successful.  Over the past few years the project has launched more than 20 citizen science research projects across meteorology, ecology, astrophysics, history, zoology, pathology, and geology and has attracted more than 1.5 million registered and anonymous users, including a core group of 15,000 dedicated volunteers who contribute at least monthly. Funds from this grant support the next phase in Zooniverse’s evolution:  enabling faster growth to meet the explosive demand for Zooniverse projects.  The Zooniverse team plans to decentralize their governance model, expanding their online platform to allow community volunteers to take part in core management functions while still maintaining peer review and oversight by the research community to ensure that the project’s high scientific standards are met.  The result will be a more self-sustaining and scalable model, which the Adler Planetarium is committed to maintain as a national leader in using citizen science to serve its research and educational missions.

    To support a sustainable future for the rapidly expanding Zooniverse platform through an engaged and empowered community of citizen scientists

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  • grantee: New York Public Library
    amount: $41,568
    city: New York, NY
    year: 2014

    To set an agenda to expand historical geodata production and determine a research and development plan for the next five years

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

    To set an agenda to expand historical geodata production and determine a research and development plan for the next five years

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  • grantee: Creative Commons
    amount: $63,250
    city: Mountain View, CA
    year: 2014

    To survey and evaluate open hardware licensing options, with an emphasis on distributed sensing hardware

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Puneet Kishor

    To survey and evaluate open hardware licensing options, with an emphasis on distributed sensing hardware

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  • grantee: Columbia University
    amount: $125,000
    city: New York, NY
    year: 2014

    To demonstrate the effectiveness of supporting collaborative teams of data-driven researchers within a university

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Kathleen McKeown

    To demonstrate the effectiveness of supporting collaborative teams of data-driven researchers within a university

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  • grantee: Johns Hopkins University
    amount: $125,000
    city: Baltimore, MD
    year: 2014

    To amplify and accelerate data-driven research across Johns Hopkins University

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

    To amplify and accelerate data-driven research across Johns Hopkins University

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  • grantee: Drexel University
    amount: $11,500
    city: Philadelphia, PA
    year: 2014

    To Support a workshop on data remediation and taxonomy strategies for cross-platform, citizen science inventory interoperability and geospatial and badging integrations

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Youngmoo Kim

    To Support a workshop on data remediation and taxonomy strategies for cross-platform, citizen science inventory interoperability and geospatial and badging integrations

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  • grantee: University of Michigan
    amount: $125,000
    city: Ann Arbor, MI
    year: 2014

    To build institutional capacity in support of data science at the University of Michigan, and to increase understanding of the barriers to success of interdisciplinary data-centric research projects

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Carl Lagoze

    To build institutional capacity in support of data science at the University of Michigan, and to increase understanding of the barriers to success of interdisciplinary data-centric research projects

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