This call for proposals seeks research projects that develop and utilize artificial intelligence (AI) and other computer-aided approaches to facilitate precision nutrition. Precision nutrition is an emerging field that aims to provide targeted dietary and nutritional recommendations for individuals with different characteristics and circumstances in order to prevent and treat diseases, and improve overall health and wellbeing.

Examples of AI approaches include machine learning, including neural networks, cluster analysis, and natural language processing, systems modeling, and algorithm development. Potential applications to precision nutrition include the use of these methods to collect, store, analyze, or communicate nutrition and health-related data, or to develop representations of systems to investigate relationships between nutrition and health outcomes.

Proposals are welcome from applicants anywhere in the United States from diverse backgrounds and at varying career levels. Applicants who are in the early stages of their careers and investigators that are underrepresented in the scientific workforce are strongly encouraged to apply. To be eligible, applicants cannot currently be a named investigator on a current NPH award or center. Applicants must be affiliated with a university, agency, or research center that meets the same eligibility criteria to apply for NIH funding.

AIMINGS hosted an informational webinar for interested applicants. The recording can be found here.

To submit your application, please attach all components to one email and send to aimingsteam@gmail.com with the Principal Investigator’s last name (e.g. “AIMINGS Pilot Program Proposal-Collins”) in the subject line by the deadline of December 2, 2022 at 5:00 PM ET.