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NSF Fellowships for Transformative Computational Science using CyberInfrastructure  (CI TraCS)

This program has been archived.

Name Email Phone Room
Mark  Suchman (703) 292-8061   
Mimi  McClure (703) 292-5197   


Solicitation  10-553

Important Information for Proposers

ATTENTION: Proposers using the Collaborators and Other Affiliations template for more than 10 senior project personnel will encounter proposal print preview issues. Please see the Collaborators and Other Affiliations Information website for updated guidance.

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 17-1), is effective for proposals submitted, or due, on or after January 30, 2017. Please be advised that, depending on the specified due date, the guidelines contained in NSF 17-1 may apply to proposals submitted in response to this funding opportunity.




The overarching goal of the NSF Fellowships for Transformative Computational Science using Cyberinfrastructure (CI TRaCS) program is to support outstanding scientists and engineers who have recently completed doctoral studies and are interested in pursuing postdoctoral activities in computational science, and thereby nurturing the future leaders in this emerging and important multidisciplinary field. Computational research and education activities that are cyberinfrastrucure-based and cross disciplinary boundaries are a key focus of this program. Successful Fellows may, for example, use cyberinfrastructure to make revolutionary advances in their disciplines, and/or deploy cyberinfrastructure-based technologies that enable innovative computational practices.


Goals and Focus: The overarching vision of the Cyberinfrastructure Framework for 21st Science and Engineering (CF21) is to realize a pervasive computational ecosystem that integrates computers, networks, data archives, instruments, observatories, experiments, and embedded sensors and actuators (nationally and internationally), and to catalyze new thinking, paradigms and practices in computational science and engineering - those that are fundamentally collaborative and information/data-driven, and that symbiotically and opportunistically combine computations, experiments, observations, and real-time information to understand and manage natural and engineered systems.

Complementing this vision, the NSF Fellowship for Transformative Computational Science and Cyberinfrastructure (CI TraCS) will support recent doctoral graduates in sciences and engineering and enable them to engage in computational research and education. The fellowship seeks to emphasize the central role of computational concepts, methodologies and technologies in all sciences (including physical, biological, geological, mathematical, social, behavioral, economic, computer, information and data), and to bridge the large gaps in training, language, approach, perspective and knowledge that continue to divide inherently multidisciplinary computational disciplines.  Furthermore, its goal is to enable recent doctoral graduates to attain the necessary multidisciplinary expertise to effectively leverage cyberinfrastructure to significantly benefit specific disciplines and society at large. For example, the fellowships may potentially support doctoral graduates from the physical sciences seeking to gain expertise in CI aspects such as scalable computing, large-scale data management and analytics or virtual organizations. Similarly, a proposal from doctoral graduates from the computational/computing disciplines seeking to gain domain expertise that would enable them to effectively apply CI to advance the domain would be appropriate. Note that postdoctoral research activities that are not computational in nature and CI-based would not be appropriate for this program. Fellows must display a significant ability to contribute to computational research and educational efforts that integrate distinct theoretical models and computational methodologies to achieve overall goals, and lead to a new generation of applications and technologies for solving important real-world problems using CI.

Fellowship applicants are expected to include education and mentoring activities in their proposal. Examples of such activities include teaching one course during each year of the fellowship at their host institution or an academic institution with ties to their host institution, developing educational materials for formal or informal education venues, or engaging in a significant program of community outreach or public education. As a rough guideline, Fellows should plan on their educational activities taking up no less than 10% and no more than 25% of their time. Applicants are encouraged to discuss the proposed educational activities with their proposed host institution prior to proposal submission to ensure that their educational plan is consistent with opportunities and plans at the institution.

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This program provides educational opportunities for  Postdoctoral Fellows . Individuals interested in applying for funding should see the program guidelines above.



What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

Map of Recent Awards Made Through This Program