Federal Income Security and Social Services Grants

This grant provides funding to support postdoctoral researchers transitioning to independent faculty positions, focusing on innovative research in pain management and substance use disorders.

This grant provides funding to support diverse postdoctoral researchers in transitioning to independent faculty positions while conducting innovative research on pain and substance use disorders.

This funding opportunity supports researchers in developing innovative animal models and biological resources to advance the understanding of Down syndrome and its related health conditions.

This funding opportunity supports researchers conducting multisite clinical trials and observational studies focused on women, children, pregnant and lactating individuals, and persons with disabilities, utilizing NICHD's established network infrastructure.

This funding opportunity supports early-career rehabilitation researchers in conducting small-scale studies that will help them gather preliminary data for future larger research projects focused on improving recovery and rehabilitation for individuals with disabilities.

This funding opportunity supports U.S. institutions and organizations in developing animal models and biological resources to advance research on Down syndrome and its related health conditions.

This funding opportunity provides financial support for educational programs that train new researchers in Down syndrome to improve understanding and treatment of co-occurring health conditions throughout the lifespan.

This funding opportunity supports researchers in developing innovative, safe, and noninvasive methods to assess the placenta's development and function throughout pregnancy, with the goal of improving maternal and fetal health outcomes.

This grant provides funding for researchers to develop and validate innovative, safe, and noninvasive methods for real-time assessment of placenta development and function throughout pregnancy, ultimately aiming to improve maternal and fetal health outcomes.

This FOA solicits the development of theories, computational models, and analytical tools to derive understanding of brain function from complex neuroscience data. Proposed projects could develop tools to integrate existing theories or formulate new theories; conceptual frameworks to organize or fuse data to infer general principles of brain function; multiscale/multiphysics models to generate new testable hypotheses to design/drive future experiments; new analytical methods to either support or refute a stated hypothesis about brain function. It is expected that the tools developed under this FOA will be made widely available to the neuroscience research community for their use and modification. Investigative studies should be limited to model parameter estimation and/or validity testing of the tools being developed.

This funding opportunity supports U.S.-based small businesses in developing innovative, non-addictive therapies and technologies for improved pain management, addressing the opioid crisis through preclinical research and technological advancements.

This funding opportunity supports small businesses in developing innovative, non-addictive therapies and technologies for effective pain management, addressing the urgent need for alternatives to opioid treatments.

The grant titled "BRAIN Initiative: Engineering and optimization of molecular technologies for functional dissection of neural circuits" aims to support the development and enhancement of molecular tools that can specifically target brain cells, enabling the observation and control of neural circuits in experimental animals.

This funding opportunity provides financial support for early-stage researchers in the U.S. to explore innovative studies on HIV-related health issues, such as comorbidities and coinfections, with the potential to transform understanding and treatment in this field.

This grant provides funding for innovative educational programs that enhance research skills and training for individuals in biomedical and behavioral sciences, particularly in areas related to human development and health.

This funding opportunity supports the development of innovative medical devices aimed at diagnosing and treating pain or opioid use disorder, targeting researchers and organizations focused on non-addictive solutions in healthcare.

This grant provides funding for researchers to investigate the genetic and environmental causes of structural birth defects, promoting collaboration between scientists and clinicians to improve prevention and treatment strategies.

This FOA will support integrated, interdisciplinary research teams that focus on examining dynamic circuit functions related to behavior, using advanced and innovative technologies. The FOA will support programs with a necessarily-synergistic, team science approach. Awards will be made for 5 years, with a possibility of one competing renewal. Applications should focus on overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should aim to understand these circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches and experimental design guided by specified theoretical constructs, are encouraged to employ quantitative, mechanistic and predictive models where appropriate. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Programs should employ multi-component teams of research expertise including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinary collaboration. Applications will be required to manage their data and analysis methods in a framework that will be developed and used in the proposed U19 project and exchanged with other BRAIN U19 awardees for further refinement and development.

This FOA will support integrated, interdisciplinary research teams that focus on examining dynamic circuit functions related to behavior, using advanced and innovative technologies. The FOA will support programs with a necessarily-synergistic, team science approach. Awards will be made for 5 years, with a possibility of one competing renewal. Applications should incorporate overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should incorporate theory-/model-driven experimental design and should offer predictive models as deliverables. Applications should seek to understand circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches guided by specified theoretical constructs, and are encouraged to employ quantitative, mechanistic models where appropriate. Applications will be required to manage their data and analysis methods in a framework that will be developed and used in the proposed U19 project and exchanged with other BRAIN U19 awardees for further refinement and development. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Programs should employ multi-component teams of research expertise including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinary collaboration. Applicants proposing to include human subjects with invasive neural recording must apply to the companion FOA, RFA-NS-XX-XXX.

This FOA will support integrated, interdisciplinary research teams from prior BRAIN technology and/or integrated approaches teams, and/or new projects from the research community that focus on examining circuit functions related to behavior, using advanced and innovative technologies. The goal will be to support programs with a team science approach that can realize meaningful outcomes within 5-plus years. Awards will be made for 5 years, with a possibility of one competing renewal. Applications should address overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should incorporate theory-/model-driven experimental design and should offer predictive models as deliverables. Applications should seek to understand circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches guided by specified theoretical constructs, and are encouraged to employ quantitative, mechanistic models where appropriate. Applications will be required to manage their data and analysis methods in a prototype framework that will be developed and used in the proposed U19 project and exchanged with other U19 awardees for further refinement and development. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Budgets should be commensurate with multi-component teams of research expertise including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinary collaboration.