Deadline: 8-Nov-22
The National Institutes of Health (NIH) invites applications for new institutional training programs (predoctoral, postdoctoral or both) in Artificial Intelligence (AI) for Precision Nutrition (AIPrN) focused on the integration of precision nutrition, AI, machine learning (ML), systems biology, systems science, Big Data, and computational analytics.
The goal is to build a future workforce that will be able to use growing data resources to tackle complex biomedical challenges in nutrition science that are beyond human intuition. It is expected that such research will lead to the development of innovative solutions to combat diet-related chronic diseases and nutrition disparities within the mission areas of the participating NIH Institutes and Offices.
The vision for the AIPrN training program is to support the development of a diverse research workforce with advanced competencies in AI, ML, and data science analytics to apply to an increasingly complex landscape of Big Data including molecular, organismal, community and societal-levels related to nutrition and diet-related conditions.
Program Objectives
The objective of the Ruth L. Kirschstein National Research Service Award (NRSA) Institutional Research Training Grant (T32) program is to develop and/or enhance research training opportunities for individuals interested in careers in biomedical, behavioral and clinical research that are relevant to the NIH mission. The training program should provide:
- A strong foundation in research design, methods, and analytic techniques appropriate for the proposed research area;
- The enhancement of the trainees’ ability to conceptualize and think through research problems with increasing independence;
- Experience conducting research using state-of-the-art methods as well as presenting and publishing their research findings;
- The opportunity to interact with members of the scientific community at appropriate scientific meetings and workshops; and
- The enhancement of the trainees’ understanding of the health-related sciences and the relationship of their research training to health and disease.
Program Considerations
To be deemed responsive to this FOA, applications must propose programs designed for the training of predoctoral students, postdoctoral fellows, or both. The training program is intended to create new intradepartmental/intercollege programs or augment the core methods courses in potentially two types of Ph.D. or postdoctoral training programs:
- Biomedical sciences related to diet-related diseases, nutrition disparities, or nutrition science across the translational spectrum. In this situation, for applications to be deemed responsive to this FOA, the applicants must describe plans and curricula that will offer new courses including practical and hands-on experience with AI including ML, advanced data analytics and computational modeling approaches specifically designed to handle the kinds of big and complex data described below as applied to health research at any different levels of focus (e.g., microscale, mesoscale or macroscale). While there are many different research topics trainees may select, ultimately the topic selected should be directly relevant to one or more objectives within the Strategic Plan for NIH Nutrition Research.
- Mathematics, data science, AI, ML, computer science or computer engineering. In this situation, for applications to be deemed responsive to this FOA, the applicants must describe plans and curricula that will offer new courses including practical and hands-on experience in biomedical/nutrition sciences relevant to diet-related chronic diseases across the translational spectrum and scales.
Duration: The maximum project period is 5 years.
Eligibility Criteria
- Native American tribal organizations (other than Federally recognized tribal governments)
- Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
- City or township governments
- Public and State controlled institutions of higher education
- Private institutions of higher education
- State governments
- Native American tribal governments (Federally recognized)
- For profit organizations other than small businesses
- Public housing authorities/Indian housing authorities
- Special district governments
- Independent school districts
- Small businesses
- Others
- County governments
- Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
For more information, visit Grants.gov.
For more information, visit https://www.grants.gov/web/grants/view-opportunity.html?oppId=343897
