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Training-based Workforce Development for Advanced Cyberinfrastructure

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NSF 23-520

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.

Supports efforts to improve the adoption of cyberinfrastructure resources by the research community and integrate core literacy, skills in advanced cyberinfrastructure, and computational and data-driven methods into undergraduate and graduate education.

Supports efforts to improve the adoption of cyberinfrastructure resources by the research community and integrate core literacy, skills in advanced cyberinfrastructure, and computational and data-driven methods into undergraduate and graduate education.

Synopsis

This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering (S&E) research and education and contribute to the Nation's overall economic competitiveness and security. 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 methods for advancing fundamental research, into the Nation’s undergraduate and graduate educational curriculum/instructional materials. Proposals responding to this solicitation may target one or both of the two solicitation goals. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, methods, and services for advanced computation, large-scale data handling and analytics, and networking and security for large-scale systems that collectively enable potentially transformative fundamental S&E research and education.

This solicitation calls for innovative, scalable training, education, and curriculum/instructional materials—targeting one or more of the solicitation goals—to address emerging needs and unresolved bottlenecks in the S&E research workforce development, from the postsecondary level to active researchers to CI professionals. The funded activities, spanning targeted, multidisciplinary communities, should lead to transformative changes in the state of research workforce preparedness for advanced CI-enabled research in the short- and long-term. This solicitation also seeks to broaden CI access and adoption by (i) increasing the adoption of advanced CI and computational and data-driven methods to a broader range of S&E disciplines and institutions and (ii) effectively utilizing the capabilities of individuals from a diverse set of underrepresented groups. Proposals from, and in partnership with, the aforementioned communities are especially encouraged.

There are two project classes as defined below:

  • Pilot Projects: up to $300,000 total budget with durations up to two years; and
  • Implementation Projects: Small (with total budgets of up to $500,000) or Medium (with total budgets of up to $1,000,000) for durations of up to four years.

Section II. Program Description provides a more complete description of the project classes. Section V.A. Proposal Preparation Instructions describes the proposal elements required for the various project classes in order to address the suitable set of solicitation-specific review criteria.

The CyberTraining program is led by the Office of Advanced Cyberinfrastructure (OAC) in the Directorate for Computer and Information Science and Engineering (CISE) and has participation from other NSF directorates/divisions, as described in Section II. Program Description, Programmatic Areas of Interest. Not all directorates/divisions are participating at the same level, and some have specific research and education priorities. The appropriate contact for the CyberTraining program in any directorate/division is the Cognizant Program Officer (PO) for the respective directorate/division/office/program listed below.

All projects are expected to clearly articulate how they will address important community needs, provide resources that will be widely available to and usable by the research community, and broaden participation from underrepresented groups. Prospective principal investigators (PIs) are strongly encouraged to contact the Cognizant Program Officers in CISE/OAC and in the participating directorate/division relevant to the proposal to ascertain whether the focus and budget of their proposed activities are appropriate for this solicitation. Such consultations should be completed at least one month in advance of the submission deadline. PIs should include the names of the Cognizant Program Officers consulted in a Single Copy Document as described in Section V.A. Proposal Preparation Instructions. The intent of the CyberTraining program is to encourage collaboration between CI and S&E domain disciplines. (For this purpose, units of CISE other than OAC are considered domain disciplines.) To ensure relevance to community needs and to facilitate adoption, those proposals of interest to one or more domain divisions must include at least one PI/co-PI with expertise relevant to the targeted research discipline. All proposals shall include at least one PI/co-PI with expertise relevant to OAC.

Prospective PIs contemplating submissions that primarily target communities relevant to directorates/divisions that are not participating in this solicitation are directed to instead explore the education and workforce development programs of the respective directorates/divisions.

Program contacts

Ashok Srinivasan
asriniva@nsf.gov (703) 292-2122 CISE/OAC
Juan (Jenny) J. Li
CISE/OAC
jjli@nsf.gov (703)292-2625 CISE/OAC
Sharmistha Bagchi-Sen
CISE/OAC
shabagch@nsf.gov (703) 292-8104 CISE/OAC
Sheikh Ghafoor
CISE/OAC
sghafoor@nsf.gov (703) 292-7116 CISE/OAC
Almadena Y. Chtchelkanova
CISE/CCF
achtchel@nsf.gov (703) 292-8910 CISE/CCF
Deepankar Medhi
CISE/CNS
dmedhi@nsf.gov (703) 292-2935 CISE/CNS
Sylvia J. Spengler
CISE/IIS
sspengle@nsf.gov (703) 292-7347 CISE/IIS
ChunSheng Xin
EDU/DGE
cxin@nsf.gov (703) 292-7353 EDU/DGE
Reha M. Uzsoy
ENG/CMMI
ruzsoy@nsf.gov (703) 292-0000 ENG/CMMI
Ronald Joslin
ENG/CBET
rjoslin@nsf.gov (703) 292-7030 ENG/CBET
Shahab Shojaei-Zadeh
ENG/CBET
sshojaei@nsf.gov (703) 292-8045 ENG/CBET
Eva Zanzerkia
GEO
ezanzerk@nsf.gov (703) 292-4734 GEO/EAR
Bogdan Mihaila
bmihaila@nsf.gov (703) 292-8235 MPS/PHY
Andreas A. Berlind
MPS/AST
aberlind@nsf.gov (703) 292-5387 MPS/AST
Daryl W. Hess
dhess@nsf.gov (703) 292-4942 MPS/DMR
Richard Dawes
MPS/CHE
rdawes@nsf.gov (703) 292-7486 MPS/CHE
Joseph M. Whitmeyer
SBE/SES
jwhitmey@nsf.gov (703) 292-7808 SBE/SES
May Yuan
SBE/BCS
mayuan@nsf.gov (703) 292-2202 SBE/BCS

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