The following announcements were shared by The National Science Foundation (NSF) on November 30, 2020.
Dear Colleagues,
A new program solicitation (NSF 21-530) is now available: Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH)
The purpose of this interagency collaboration between the NSF and the NIH is to support the development of transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, and behavioral and/or cognitive research to address pressing questions in the biomedical and public health communities. Transformations hinge on scientific and engineering innovations by interdisciplinary teams that develop novel methods to intuitively and intelligently collect, sense, connect, analyze, and interpret data from individuals, devices, and systems to enable discovery and optimize health. Solutions to these complex biomedical or public health problems demand the formation of interdisciplinary teams that are ready to address these issues, while advancing fundamental science and engineering.
For details, see the program solicitation available at: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504739
Full Proposal Deadlines:
- February 16, 2021
- November 10, 2021
The following announcement was shared by The National Science Foundation (NSF) on December 4, 2020 .
Dear Colleagues,
An updated NSF program solicitation (NSF 21-536) is now available: National Science Foundation Research Traineeship Program (NRT).
Please see the program solicitation https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505015 for details.
Full Proposal Deadline Dates:
- February 25, 2021
- September 6, 2021
From the program solicitation:
For FY 2021, Artificial Intelligence (AI) and Quantum Information Science and Engineering (QISE) have been added to the national priority areas in which the NRT Program encourages proposals. We seek proposals on any interdisciplinary research theme of national priority, with special emphasis on AI and QISE and the six research areas within 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 NSF Research Traineeship (NRT) program seeks proposals that explore ways for graduate students in research-based master’s and doctoral degree programs to develop the skills, knowledge, and competencies needed to pursue a range of STEM careers. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas, through a comprehensive traineeship model that is innovative, evidence-based, and aligned with changing workforce and research needs. Proposals are requested that address any interdisciplinary or convergent research theme of national priority, as noted above.
The NRT program addresses workforce development, emphasizing broad participation, and institutional capacity building needs in graduate education. The program encourages proposals that involve strategic collaborations with the private sector, non-governmental organizations (NGOs), government agencies, national laboratories, field stations, teaching and learning centers, informal science centers, and academic partners. NRT especially welcomes proposals that include partnership with NSF Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (INCLUDES) and leverage INCLUDES project efforts to develop STEM talent from all sectors and groups in our society (https://www.nsf.gov/news/special_reports/big_ideas/includes.jsp).
The number of NRT proposal submissions allowed per institution remains limited to two (2) submissions total. The number of NRT proposal submissions per PI or co-PI remains limited to one (1) submission total.