Grant Details

Training-based Workforce Development for Advanced Cyberinfrastructure Grant

 
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    CFDA#

    47.041; 47.049; 47.050; 47.070; 47.075; 47.076
     

    Funder Type

    Federal Government

    IT Classification

    B - Readily funds technology as part of an award

    Authority

    National Science Foundation (NSF)

    Summary

    The goals of this solicitation are to (i) ensure broad adoption of CI tools, methods, and resources by the research community in order to catalyze major research advances and to enhance researchers abilities to lead the development of new CI; and (ii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data-driven science and engineering into the Nations educational curriculum/instructional material fabric spanning undergraduate and graduate courses for advancing fundamental research.


    The CyberTraining program focuses on three scientific communities, and projects should target one or more of these communities:

    • CI Professionals (CIP): This is the community of research CI and professional staff who deploy, manage, and support effective use of research CI. A CIP-specific project 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, data, and domain scientists and engineers who research and develop new CI capabilities, approaches, and methods. A CIC-specific project 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. A CIU-specific project is for user-level core literacy in advanced CI as well as computational and datadriven science and engineering skills; the target population spans undergraduate and graduate students, postdoctoral fellows, and researchers who are current and future CI Users.
     

    History of Funding

    Funded programs can be found at https://www.nsf.gov/awardsearch/advancedSearchResult?ProgEleCode=044Y&BooleanElement=Any&BooleanRef=Any&ActiveAwards=true&#results.

    Additional Information

    Programmatic Areas of Interest


    The CyberTraining program includes the Office of Advanced Cyberinfrastructure (OAC”lead for the program) and the Division of Computing and Communication Foundations (CCF) 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); Divisions of Astronomical Sciences (AST), Materials Research (DMR), and Physics (PHY) within the Directorate for Mathematical and Physical Sciences (MPS); and the Directorate for Social, Behavioral, and Economic Sciences (SBE). 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/programs are participating at the same level and some have specific research and education priorities as described below.


    OAC supports all 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.


    CISE's CCF division supports research and education projects that develop new knowledge in four core programs: Algorithmic Foundations; Communications and Information Foundations; Foundations of Emerging Technologies; and Software and Hardware Foundations. CCF is not highlighting specific areas in the context of this solicitation. Rather, it welcomes proposals that broadly enhance the CCF-relevant communities of CI Professionals, CI Contributors, and CI Users in consultation with the Cognizant Program Officer.


    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.


    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.


    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. 


    MPSs Division of Astronomical Sciences (AST) welcomes proposals, in all classes, that emphasize wide utility and demonstrate a broad base of community support.


    SBE supports rigorous methods to discover fundamental principles of human behavior at levels ranging from cells to society, from neurons to neighborhoods, and across space and time. The SBE directorate supports research that advances computational social science and analytic methods using social network, sensor, text, video, administrative, and other big data. SBE seeks proposals that will advance training for research communities of CI Professionals and CI Users.

    Contacts

    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 6, 2019 and January 15, 2020. Proposals will be then accepted by the third Wednesday in January, annually thereafter.

    Award Details

    Approximately $6,000,000 is anticipated to be available in total funding for up to 18 awards. Awards are up to $1,000,000. Up to 4 Pilot, 8 Small and 3 Medium Implementation, and 3 Large-scale Project Conceptualization awards are anticipated. 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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