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This Notice is to announce the availability of an informational webinar video with overview information on program goals, application instructions, and project responsiveness for RFA-NS-22-036, which are the initiating FOA for NINDS Interdisciplinary Team Science Grant (RM1 Clinical Trial Optional). The pre-recorded video is optional and is not required for submission of an application.

Excellent mentorship and superior training are critical to the development of exceptional future scientists. To recognize the crucial role great mentors play in the development of future leaders in neuroscience, the National Institute of Neurological Disorders and Stroke (NINDS) created the Landis Award for Outstanding Mentorship. Each year, this award provides $100,000.00 (direct costs) to up to five (5) faculty members, who have demonstrated a dedication to outstanding mentorship and training. This funding is intended to help foster the research career development of current or additional students and post-doctorates under the guidance of outstanding mentors. NINDS hopes that this tangible award will impress upon the scientific community as a whole, and faculty and institutional leaders in particular, the high value NINDS places on outstanding training and mentorship. Further, NINDS hopes that it encourages institutions to reward individuals not only for outstanding research accomplishments but also for their impact on the lives of others, and the future of neuroscience, through outstanding mentorship and training.

The purpose of this funding opportunity announcement is to encourage collaborations between the life and physical sciences that: 1) apply a multidisciplinary bioengineering approach to the solution of a biomedical problem; and 2) integrate, optimize, validate, translate or otherwise accelerate the adoption of promising tools, methods, and techniques for a specific research or clinical problem in basic, translational, or clinical science and practice. An application may propose design-directed, developmental, discovery-driven, or hypothesis-driven research and is appropriate for small teams applying an integrative approach to increase our understanding of and solve problems in biological, clinical, or translational science.

The National Institutes of Health (NIH) Office of Nutrition Research (ONR) and participating NIH Institutes and Centers (ICs) intend to publish a Funding Opportunity Announcement (FOA) for new applications that will support new institutional research training programs (predoctoral, postdoctoral or both) in artificial intelligence (AI) for precision nutrition (AIPrN) that will focus on integration of the domains of precision nutrition, AI including 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 hoped such research will lead to the development of innovative solutions to combat diet-related chronic diseases within the mission areas of the participating ICs. The vision of the AIPrN training program is to support the development of a diverse research workforce capable who will possess advanced competencies in AI including machine learning and data science analytics to apply to an increasingly complex landscape of Big Data from the molecular, to organismal, to community and societal scales related to nutrition and diet related conditions.

The purpose of this limited competition Funding Opportunity Announcement is to allow UDN Clinical Sites that received an NIH award under RFA-RM-17-019 an opportunity to compete for one additional year of NIH funding to: continue their participation in the UDN; establish collaborations and efficient processes with the next phase Data Management and Coordinating Center (DMCC; see: RFA-NS-22-051), enroll and evaluate new participants; and develop further their sustainability plans.

The purpose of this funding opportunity announcement is to encourage collaborations between the life and physical sciences that: 1) apply a multidisciplinary bioengineering approach to the solution of a biomedical problem; and 2) integrate, optimize, validate, translate or otherwise accelerate the adoption of promising tools, methods, and techniques for a specific research or clinical problem in basic, translational, or clinical science and practice. An application may propose design-directed, developmental, discovery-driven, or hypothesis-driven research and is appropriate for small teams applying an integrative approach to increase our understanding of and solve problems in biological, clinical, or translational science.

The National Institutes of Health (NIH) HEAL (Helping to End Addiction Long-termSM) Initiative intends to promote a new initiative by publishing a Funding Opportunity Announcement (FOA) soliciting applications for UG3/UH3 phased cooperative research to accelerate implementation of evidence-based, non-opioid interventions for chronic pain management in rural and remote populations. Interventions addressing acute pain in rural and remote populations are also responsive if the acute pain requires the intervention of a health care provider for management, such as acute dental pain or acute low back pain and are likely to recur, become chronic, or escalate to a more serious complication if not managed appropriately. Projects include pragmatic, implementation or hybrid effectiveness-implementation trials to improve pain management and reduce the unnecessary use of opioid medications. Awards made under this FOA will initially support a milestone-driven, planning phase (UG3) of 1 to 2 years, with possible transition to a study conduct phase (UH3) of up to 3-4 years duration (5 years total for the two phases). Only UG3 projects with a planned pilot may request 2 years for the planning phase with up to 3 years for the UH3 implementation phase.in the community. All other projects may request 1 year for the UG3 phase with up to 4 years for the UH3 phase. UG3 projects that have met the scientific milestone and feasibility requirements may transition to the UH3 phase.

This BRAIN Initiative FOA is to further develop molecular tools of high impact that are targetable to brain cell types for the monitoring and manipulation of neural circuits in experimental animals. This FOA is part of the BRAIN Initiative Armamentarium for Brain Cell Access transformative project. This will support iterative improvement of molecular payloads capable of monitoring and manipulating neural cell activity and that can be delivered to specific brain cell types using targeting technologies.

NINDS will no longer participate in both FOAs after 9/27/22 receipt date.

The NIH Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative intends to issue RFA-EB-22-001, BRAIN Initiative: Transformative Brain Non-invasive Imaging Technology Development. This Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. The FOA is expected to be published in summer 2022 with an expected application due date in fall 2022 This FOA will utilize the UG3/UH3 activity code. Details of the planned FOA are provided below.