An eligible organization may participate in only two (2) proposals per NRT competition as lead or collaborative non-lead. All Track 1 and/or Track 2 NRT proposals will be counted toward this total limit of two proposals per organization.
Participation includes serving as a lead organization or non-lead organization on any proposal. Organizations participating only as evaluators on projects are excluded from this limitation. Proposals that exceed the organizational eligibility limit will be returned without review regardless of whether the organization on such a proposal serves as lead or non-lead collaborative organization. Only US IHEs are eligible to submit as a lead or non-lead organization. Potential PIs are advised to contact their institutional office of research regarding processes used to select proposals for submission.
Internal Deadline: Contact ORIF if interested.
External Deadline: September 6, 2021
Anticipated Type of Award: Standard Grant
Estimated Number of Awards: 18 to 20
NRT Track 1 Awards (14-16 awards each year) are expected to be up to five (5) years in duration with a total budget up to $3,000,000.
NRT Track 2 Awards (4-6 awards each year) are expected to be up to five (5) years in duration with a total budget up to $2,000,000.
Anticipated Funding Amount: $55,000,000
Estimated program budget, number of awards and average award size/duration are subject to the availability of funds.
Who May Serve as PI: The PI must be on the faculty of the submitting institution.
Link to Award: https://www.nsf.gov/pubs/2021/nsf21536/nsf21536.htm
Process for Limited Submissions
PIs must submit their application as a Limited Submission through the Office of Research Application Portal: https://orif.usc.edu/oor-portal/.
Materials to submit include:
- (1) Single Page Proposal Summary (0.5” margins; single-spaced; font type: Arial, Helvetica, or Georgia typeface; font size: 11 pt). Page limit includes references and illustrations. Pages that exceed the 1-page limit will be excluded from review.
- (2) CV – (5 pages maximum)
Note: The portal requires information about the PIs and Co-PIs in addition to department and contact information, including the 10-digit USC ID#, Gender, and Ethnicity. Please have this material prepared before beginning this application.
The NRT Program is dedicated to shaping and supporting highly effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through the use of comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs. The goals of the program are to:
- Catalyze and advance cutting-edge interdisciplinary or convergent research in high priority areas;
- Increase the capacity of U.S. graduate programs to produce diverse cohorts of interdisciplinary STEM professionals with technical and transferable professional skills for a range of research and research-related careers within and outside academia; and
- Develop innovative approaches and knowledge that will promote transformative improvements in graduate education.
Creation of sustainable programmatic capacity at institutions is an expected outcome. Consequently, all proposals should describe mechanisms to institutionalize effective training elements after award expiration and provide appropriate documentation of institutional support for such efforts.
For FY2021 and FY2022, proposals are encouraged in the research areas of Artificial Intelligence (AI), Quantum Information Science and Engineering (QISE) and the six research areas in NSF’s 10 Big Ideas. The NSF research Big Ideas are Harnessing the Data Revolution (HDR), The Future of Work at the Human-Technology Frontier (FW-HTF), Navigating the New Arctic (NNA), Windows on the Universe: The Era of Multi-Messenger Astrophysics (WoU), The Quantum Leap: Leading the Next Quantum Revolution (QL), and Understanding the Rules of Life: Predicting Phenotype (URoL). The FY2021 Budget Request to Congress includes an additional $15 million to include a special focus on artificial intelligence and artificial intelligence engineering.
Visit our Institutionally Limited Submission webpage for more updates and other announcements.