Grant Details

Training-based Workforce Development for Advanced Cyberinfrastructure Grant

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    47.041; 47.049; 47.050; 47.070; 47.076

    Funder Type

    Federal Government

    IT Classification

    B - Readily funds technology as part of an award


    National Science Foundation (NSF)


    The overarching goals of this program are to (i) prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) that enables potentially transformative fundamental science and engineering research and contributes to the Nation's overall economic competiveness and security; (ii) ensure broad adoption of CI tools, methods, and resources by the fundamental science and engineering research community to enable new modes of discovery; and (iii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data science and engineering into the Nation's educational curriculum/instructional material fabric spanning undergraduate and graduate courses.

    The CyberTraining program focuses on three scientific communities, and, correspondingly, offers three tracks for project submission (these should be aligned with the research and education priorities of the domain directorates and OAC):
    • CI Professionals (CIP): This is the community of research CI and professional staff who explore, develop, deploy, manage, and support effective use of research CI. The CIP track is for technical and research CI professional skills development of future CI professionals, including undergraduate and graduate students, postdoctoral fellows, and research scientists, and for skills refinement and career development of current CI professionals.
    • CI Contributors (CIC): This is the community of computational and data scientists and engineers who research and develop new CI capabilities, approaches, and methods. The CIC track is for contributor-level CI skills and advanced domain skills development; the target population spans graduate and undergraduate students, postdoctoral fellows, and researchers who are current and future CI Contributors.
    • CI Users (CIU): This is the community of domain scientists and engineers who effectively exploit advanced CI capabilities and methods for research. The CIU track is for user-level core literacy in advanced CI as well as computational and data science and engineering skills; the target population spans undergraduate and graduate students, postdoctoral fellows, and researchers who are the current and future CI Users.

    History of Funding

    Additional Information

    Programmatic Areas of Interest The CyberTraining program includes the Office of Advanced Cyberinfrastructure (OAC the lead for the program), the Division of Computing and Communication Foundation (CCF), and the Division of Information and Intelligent Systems (IIS) within the Directorate for Computer and Information Science and Engineering (CISE); Directorate for Engineering (ENG); Division of Graduate Education (DGE) within the Directorate for Education and Human Resources (EHR); Directorate for Geosciences (GEO); and Directorate for Mathematical and Physical Sciences (MPS). All projects must advance CI training and education goals for CI-enabled fundamental research, in addition to addressing specific domain needs. Not all directorates/divisions are participating at the same level and some have specific research and education priorities as described below.

    Within CISE, OAC is concerned about all the three communities of CI Professionals, CI Contributors, and CI Users, both current and future generations. OAC encourages proposals on technical and research CI professional skills development of future CI Professionals as well as on skill refinement and career development of current CI Professionals.

    EHR supports the development of a diverse and well-prepared workforce of scientists, technicians, engineers, mathematicians, and educators. EHR is interested in engaging the CI and education research communities to use advanced CI and other approaches to analyze, visualize, and harness data to better understand issues of workforce development in science and engineering. Topics of particular interest include preparation of the workforce in areas of data security and privacy in connection with EHR's investment in the CyberCorps(R): Scholarships for Service (SFS) and Secure and Trustworthy Cyberspace (SaTC) programs, as well as the other aspects associated with preparation of the technical workforce for proficiency in using advanced CI, which is supported by EHR's Advanced Technological Education (ATE) program.

    ENG is interested in supporting the training of students, postdoctoral fellows, and researchers in the areas of HPC software tools; advanced multi-scale, multi-physics computational models and algorithms; and data management and data analytics tools to advance fundamental research across the domain areas of ENG. Proposals should align with the engineering research domain's readiness in CI adoption and focus on training both in the development and use of CI tools as well as the integration of these tools and methods with the engineering domain research.

    GEO supports fundamental research that advances the frontiers of knowledge and drives technological innovation while improving our understanding of the many processes that affect the global environment. These processes include the role of the atmosphere and oceans in our climate, the planetary water cycle, and ocean acidification. GEO supports interdisciplinary studies that contribute directly to national research priorities such as understanding, adapting to, and mitigating the impacts of global change; developing and deploying integrated ocean observing capabilities to support ecosystem-based management; and understanding future availability of freshwater.

    MPS is interested in supporting workshops and summer schools focused on training students and postdoctoral fellows in computational methods on advanced computing architectures. High-performance computing and data analytics methods are to be introduced in the context of specific scientific applications relevant to the MPS communities. Lectures must be accompanied by problem sessions and hands-on activities on the actual machines. Online sharing of workshop materials and recorded presentations on dedicated websites is strongly encouraged.


    Sushil Prasad

    Sushil Prasad
    4201 Wilson Boulevard
    Arlington', VA 22230
    (703) 292-5059

  • Eligibility Details

    Eligible applicants are:
    • Universities and Colleges;
    • Non-profit, non-academic organizations;
    • For-profit organizations;
    • State and Local Governments; and
    • Unaffiliated Individuals.

    Deadline Details

    Proposals are to be submitted by February 14, 2018 and January 25, 2019. Proposals will be then accepted by the fourth Friday in January, annually thereafter.

    Award Details

    Approximately $3,500,000 is anticipated to be available in total funding for up to 11 awards. Awards will range between $300,000 and $500,000 each. Awards will last up to 3 years. Cost sharing/matching is not required.


    Related Webcasts Use the links below to view the recorded playback of these webcasts

    • NSF Funding for Campus Cyberinfrastructure in Higher Education - Sponsored by NetApp - Playback Available
    • Funding High Performance Computing in Support of University Research – Sponsored by NetApp - Playback Available
    • Getting A Virtualization Project Funded - Sponsored by NetApp - Playback Available


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