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: Open Collective Foundation
    amount: $50,000
    city: Walnut, CA
    year: 2021

    To strengthen the public interest communities and networks that sustain open-source digital infrastructure

    • Program Technology
    • Sub-program Better Software for Science
    • Investigator Pia Mancini

    To strengthen the public interest communities and networks that sustain open-source digital infrastructure

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  • grantee: Carnegie Mellon University
    amount: $40,984
    city: Pittsburgh, PA
    year: 2021

    To conduct exploratory analyses on why maintainers disengage from open source projects by cataloguing disengagement factors and hypotheses based on demographic characteristics

    • Program Technology
    • Sub-program Better Software for Science
    • Investigator Christian Kдstner

    To conduct exploratory analyses on why maintainers disengage from open source projects by cataloguing disengagement factors and hypotheses based on demographic characteristics

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  • grantee: University of Colorado, Boulder
    amount: $574,444
    city: Boulder, CO
    year: 2021

    To build an inclusive and diverse community around standards for and the review of scientific Python open source software (OSS)

    • Program Technology
    • Sub-program Better Software for Science
    • Investigator Leah Wasser

    The review process for software is analogous to but in some ways different from a manuscript review; in addition to assessing the integrity of the methods manifested in the software’s algorithms, reviewers can consider features of the code itself and how well it is “bundled” for use by others. Does it run well under varying conditions? How interoperable is it with other platforms? What is the quality of its documentation? Such review is important for two main reasons. First, software that receives high marks by reputable reviewers lowers barriers to use.  Scientists can trust that well-reviewed code is robust, trustworthy, and easy to implement, even if they did not write the code themselves.  Second, well-regarded software reviews (and citations) can signal value and thus increase the incentives for software engineers and others to develop and maintain research software.  This grant funds a project by ecologist and data scientist Leah Wasser to further advance research software review in Python, arguably the dominant programming language for data science. pyOpenSci will mimic many of the core functions of the rOpenSci ecosystem including a grassroots process to develop common community standards, a transparent review process that leverages critical tooling from the Journal of Open Source Software, and efforts to build a strong, well-connected, diverse network of developers, engineers, and working scientists committed to the project.

    To build an inclusive and diverse community around standards for and the review of scientific Python open source software (OSS)

    More
  • grantee: Atlanta University Center Consortium
    amount: $249,994
    city: Atlanta, GA
    year: 2021

    To pilot postbaccalaureate training in open source software development for Black students and infuse open source skills into HBCU curricula

    • Program Technology
    • Sub-program Better Software for Science
    • Investigator Talitha Washington

    To pilot postbaccalaureate training in open source software development for Black students and infuse open source skills into HBCU curricula

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  • grantee: Community Initiatives
    amount: $248,729
    city: Oakland, CA
    year: 2021

    To build an inclusive and diverse instructor community around teaching foundational data literacy skills for conducting efficient, open, and reproducible research

    • Program Technology
    • Sub-program Better Software for Science
    • Investigator Kari Jordan

    To build an inclusive and diverse instructor community around teaching foundational data literacy skills for conducting efficient, open, and reproducible research

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  • grantee: Code for Science and Society
    amount: $86,000
    city: Portland, OR
    year: 2021

    To drive the definition and adoption of FAIR principles for research software

    • Program Technology
    • Sub-program Better Software for Science
    • Investigator Michelle Barker

    To drive the definition and adoption of FAIR principles for research software

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  • grantee: Code for Science and Society
    amount: $36,850
    city: Portland, OR
    year: 2021

    To advance understanding of the economics of open infrastructure maintenance and sustainability, by examining the themes of system interoperability, distributed governance, and collective funding

    • Program Technology
    • Sub-program Better Software for Science
    • Investigator Kaitlin Thaney

    To advance understanding of the economics of open infrastructure maintenance and sustainability, by examining the themes of system interoperability, distributed governance, and collective funding

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  • grantee: Open Collective Foundation
    amount: $605,000
    city: Walnut, CA
    year: 2020

    To support research and implementation projects on the maintenance of open source digital infrastructure

    • Program Technology
    • Sub-program Better Software for Science
    • Investigator Alyssa Wright

    To support research and implementation projects on the maintenance of open source digital infrastructure

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  • grantee: Carnegie Mellon University
    amount: $150,000
    city: Pittsburgh, PA
    year: 2020

    To develop a model for archiving and curating the complex, multimodal materials generated in the field of robotics

    • Program Technology
    • Sub-program Better Software for Science
    • Investigator Brian Mathews

    To develop a model for archiving and curating the complex, multimodal materials generated in the field of robotics

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  • grantee: Carnegie Mellon University
    amount: $451,242
    city: Pittsburgh, PA
    year: 2020

    To understand various influences on the contributor trajectories of women in open source software projects, including attention to the unique role of maintainers and a pilot focused on the experiences of U.S.-born Black women

    • Program Technology
    • Sub-program Better Software for Science
    • Investigator Laura Dabbish

    This grant provides funding to extend a project by Laura Dabbish of Carnegie Mellon University to study women’s participation in open source software projects. Combining qualitative interviews with network analysis of large-scale project data from GitHub, Dabbish broadens the definition of “participation” beyond code commits, cataloged the various ways software projects telegraph openness to new contributors, and hypothesized that gendered difference in the social network structures men and women create explain why women on average disengage from open source participation earlier than men. Grant funds will allow Dabbish to expand her work to other open source software ecosystems while also probing the gender dynamics of “maintainers,” those leaders in open source projects responsible for the technical and social “invisible work” that holds a project together. In addition, Dabbish and her partners will pilot an extension of their methods to the study of other underrepresented minorities in open source, starting with the experience of U.S.-born Black women contributors.

    To understand various influences on the contributor trajectories of women in open source software projects, including attention to the unique role of maintainers and a pilot focused on the experiences of U.S.-born Black women

    More
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