Opportunity Information: Apply for RFA DA 24 042

The NIH BRAIN Initiative funding opportunity "Brain-Behavior Quantification and Synchronization: Transformative and Integrative Models of Behavior at the Organismal Level (R34 Clinical Trial Optional)" supports early-stage, planning-focused projects that prepare teams to pursue a larger, full research program later (for example, a U01 or similar NIH award). The central idea is to help researchers build the scientific and technical foundation for a next-step project that can measure behavior in much richer, more precise ways and then turn those measurements into integrated, dynamic models that can ultimately connect to brain activity and neurobehavioral function.

The NOFO is centered on two tightly linked goals. First, it aims to advance tools and methods for minimally invasive, multi-dimensional, high-resolution measurement of behavior at the level of the whole organism. This is not just about tracking behavior itself, but doing so in a way that captures multiple dimensions of behavior at once (for example, posture, movement dynamics, facial or body features, vocalizations, and other organism-level readouts), with enough resolution to support serious quantitative modeling. A key emphasis is synchronization: applicants are expected to capture behavior while also recording changes in the organism's social environment (such as interactions with other individuals) and/or physical environment (such as context, objects, or relevant environmental variables) at the same time, so the resulting data reflect the real behavioral context rather than isolated actions.

Second, the NOFO prioritizes data science and computational approaches that can integrate these complex behavioral and environmental datasets across multiple timescales. The goal is not simply to store or visualize large datasets, but to develop methods that can fuse heterogeneous streams of information (behavioral measures plus environmental context, potentially at different sampling rates and timescales) into an organized framework. The end product NIH is pushing toward is a conceptual and/or computational model of behavior as a complex dynamic system, meaning a model that treats behavior as something evolving over time with feedback loops, context dependence, and structured variability, rather than as a set of simple labels or isolated events.

Even though the grant is focused on organism-level behavior and environmental context, the opportunity is clearly designed to complement neuroscience. Projects are expected to be designed so they can eventually integrate synchronously recorded neural data and/or directly inform existing models of neurobehavioral function, including work supported by the NIH BRAIN Initiative. In practice, that means applicants should be thinking ahead about compatibility with neural recording approaches, alignment of timestamps and experimental structure, and how behavioral models could map onto neural dynamics, even if the R34 phase is primarily about planning and feasibility work rather than a fully powered research study.

Because this is an R34 planning grant, the funded activities are meant to establish the groundwork needed for a later, larger application. The NOFO highlights planning and development of the research framework, study design, and overall approach. It also emphasizes generating feasibility, validity, and other technically qualifying results. In other words, reviewers will be looking for a credible plan to de-risk the future U01-scale effort: demonstrating that the measurement approach is practical and minimally invasive, that the behavioral and environmental measures are reliable and meaningful, that synchronization is technically workable, and that the computational integration strategy is plausible and well-justified. The "Clinical Trial Optional" designation means applicants may propose clinical trial elements if appropriate, but they are not required to do so.

A major compliance requirement in this NOFO is the Plan for Enhancing Diverse Perspectives (PEDP). This is not an optional attachment. NIH states that the PEDP will be evaluated as part of peer review, and any application that does not include a PEDP will be treated as incomplete and withdrawn. Applicants are encouraged to follow the NOFO instructions closely and use NIH's PEDP guidance materials. Practically, this means proposals should explain how the project will incorporate diverse perspectives in a way that strengthens the science, such as through team composition, stakeholder engagement, partnerships, training and mentoring structures, data practices, or research design choices that broaden relevance and participation.

The opportunity is offered by the National Institutes of Health under Funding Opportunity Number RFA-DA-24-042. It is a discretionary grant mechanism, and it spans multiple CFDA program areas (including 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.853, 93.865, 93.866, and 93.867), reflecting its cross-cutting relevance. The original closing date listed is 2024-02-15. The award ceiling is $450,000, indicating the expected maximum budget level for the planning effort rather than a large-scale, multi-year research buildout.

Eligibility is broad and includes many types of U.S. and non-U.S. organizations. Eligible applicants include state, county, city, township, and special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized tribal governments; tribal organizations that are not federally recognized; public housing authorities and Indian housing authorities; nonprofit organizations with or without 501(c)(3) status; for-profit organizations other than small businesses; small businesses; and other applicants that meet NIH eligibility rules. The NOFO also explicitly calls out additional eligible or encouraged applicant categories such as Alaska Native and Native Hawaiian Serving Institutions, AANAPISI institutions, Hispanic-serving institutions, HBCUs, Tribally Controlled Colleges and Universities, faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, tribal governments other than federally recognized, and non-domestic entities (foreign organizations). This broad eligibility aligns with the program's emphasis on diverse perspectives and the need for interdisciplinary teams that combine behavior measurement, engineering, computation, and neuroscience.

Overall, the grant is best understood as a structured on-ramp to a more ambitious BRAIN-aligned program: first use the R34 to plan, prototype, validate, and demonstrate feasibility for synchronized, high-resolution behavioral and environmental quantification and integrated modeling, then use those results to compete for a larger award that can scale the tools, datasets, and models and connect them more directly to neural measurements and neurobehavioral theory.

  • The National Institutes of Health in the education, health, income security and social services sector is offering a public funding opportunity titled "BRAIN Initiative: Brain-Behavior Quantification and Synchronization Transformative and Integrative Models of Behavior at the Organismal Level (R34 Clinical Trial Optional)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.853, 93.865, 93.866, 93.867.
  • This funding opportunity was created on 2023-11-27.
  • Applicants must submit their applications by 2024-02-15. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $450,000.00 in funding.
  • Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
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Frequently Asked Questions (FAQs)

What is this NIH BRAIN Initiative funding opportunity?

This opportunity is the NIH BRAIN Initiative NOFO titled "Brain-Behavior Quantification and Synchronization: Transformative and Integrative Models of Behavior at the Organismal Level (R34 Clinical Trial Optional)" under Funding Opportunity Number RFA-DA-24-042. It uses the R34 mechanism, which is designed for early-stage, planning-focused work that sets up a larger, full research program later.

What is the main purpose of an R34 for this program?

The R34 is intended to help teams build the scientific and technical groundwork for a next-step, larger application (for example, a U01 or similar NIH award). The focus is on planning, development of the research framework, feasibility testing, validation, and generating technically qualifying results that de-risk a larger future effort.

What is the central scientific idea behind the program?

The program aims to support projects that can measure behavior in richer, more precise ways and then turn those measurements into integrated, dynamic models of behavior at the whole-organism level. The long-term direction is to enable stronger links between quantified behavior, context, and ultimately brain activity and neurobehavioral function.

What are the two main goals emphasized in the NOFO?

The NOFO is centered on two tightly linked goals: (1) advancing tools and methods for minimally invasive, multi-dimensional, high-resolution measurement of organism-level behavior while synchronizing those measurements with social and/or physical environmental context; and (2) developing data science and computational methods to integrate complex behavioral and environmental datasets across multiple timescales into conceptual and/or computational dynamic models of behavior.

What kinds of behavior measurement approaches does NIH want to see?

NIH is looking for minimally invasive approaches that can capture multi-dimensional, high-resolution organism-level behavior. Examples of the types of behavioral dimensions referenced include posture, movement dynamics, facial or body features, vocalizations, and other whole-organism readouts, collected with enough resolution to support quantitative modeling.

What does "multi-dimensional, high-resolution" mean in this context?

In this NOFO, "multi-dimensional" refers to capturing multiple behavioral features at the same time (not just a single metric or label). "High-resolution" refers to collecting data with sufficient detail to support serious quantitative modeling, rather than only coarse summaries or simple event categories.

What does "synchronization" mean for this opportunity?

Synchronization is a key emphasis: applicants are expected to capture behavior while also recording changes in the organism's social environment (such as interactions with other individuals) and/or physical environment (such as context, objects, or relevant environmental variables) at the same time. The intent is to preserve real behavioral context and time alignment across data streams.

Do projects have to measure both the social environment and the physical environment?

No. The NOFO describes synchronizing behavior with the organism's social environment and/or physical environment. That framing indicates the project may focus on one or the other, or both, as long as environmental context is captured in sync with behavior.

What is meant by "integrative models of behavior as a complex dynamic system"?

The program is pushing toward models that treat behavior as evolving over time, shaped by feedback loops, context dependence, and structured variability. The goal is not simply labeling behaviors or detecting isolated events, but building an organized conceptual and/or computational framework that integrates heterogeneous data streams into dynamic models.

Is this program mainly about collecting big datasets?

No. While data volume and complexity may be substantial, the NOFO specifically emphasizes that the goal is not merely to store or visualize large datasets. The priority is developing methods that can integrate heterogeneous behavioral and environmental data (potentially sampled at different rates and timescales) into a coherent framework and dynamic model.

How does this opportunity connect to neuroscience and the BRAIN Initiative?

Although the focus is organism-level behavior and environmental context, projects are expected to be designed so they can eventually integrate synchronously recorded neural data and/or directly inform existing models of neurobehavioral function, including BRAIN Initiative-supported work. Applicants are expected to think ahead about future compatibility with neural recording and alignment of timing and experimental structure.

Does the R34 project itself need to include neural recordings?

The information provided emphasizes forward compatibility and eventual integration with neural data, but also notes the R34 phase is primarily about planning and feasibility rather than a fully powered research study. Based on the description, neural recording is not presented as a strict requirement for the R34 phase, but projects should be designed with future neural integration in mind.

What types of outcomes are reviewers likely looking for in an R34 application?

Reviewers are expected to look for a credible plan to de-risk a future U01-scale (or similar) effort. This includes demonstrating that the measurement approach is practical and minimally invasive, that behavioral and environmental measures are reliable and meaningful, that synchronization is technically workable, and that the computational integration strategy is plausible and well-justified. The NOFO also emphasizes feasibility, validity, and other technically qualifying results.

What does "Clinical Trial Optional" mean here?

"Clinical Trial Optional" means applicants may propose clinical trial elements if appropriate, but they are not required to include a clinical trial. The option is available, but not mandatory.

What is the PEDP, and is it required?

The Plan for Enhancing Diverse Perspectives (PEDP) is a major compliance requirement in this NOFO and is not optional. NIH states the PEDP will be evaluated as part of peer review, and any application that does not include a PEDP will be considered incomplete and withdrawn.

How is the PEDP evaluated?

Based on the NOFO description provided, the PEDP is evaluated as part of peer review. It must be included, and failure to include it results in the application being treated as incomplete and withdrawn.

What kinds of PEDP elements does NIH encourage?

The NOFO encourages applicants to explain how the project will incorporate diverse perspectives in ways that strengthen the science. Examples mentioned include team composition, stakeholder engagement, partnerships, training and mentoring structures, data practices, and research design choices that broaden relevance and participation.

What is the Funding Opportunity Number for this program?

The Funding Opportunity Number is RFA-DA-24-042.

What is the listed closing date?

The original closing date listed is 2024-02-15.

What is the award ceiling for this R34?

The award ceiling is $450,000, which reflects the expected maximum budget level for the planning and early development effort rather than a large-scale research buildout.

What CFDA program areas are associated with this opportunity?

The opportunity spans multiple CFDA program areas, including 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.853, 93.865, 93.866, and 93.867, reflecting cross-cutting relevance.

Who is eligible to apply?

Eligibility is broad and includes many U.S. and non-U.S. organization types that meet NIH eligibility rules. Eligible applicants include various government entities (state, county, city, township, special district), independent school districts, public and state-controlled institutions of higher education, private institutions of higher education, federally recognized tribal governments, tribal organizations that are not federally recognized, public housing authorities and Indian housing authorities, nonprofit organizations with or without 501(c)(3) status, for-profit organizations other than small businesses, small businesses, and other eligible applicants under NIH rules.

Are foreign (non-U.S.) organizations eligible?

Yes. The NOFO explicitly includes non-domestic entities (foreign organizations) among the eligible or encouraged applicant categories, consistent with the broad eligibility described.

Are certain institution types explicitly called out as eligible or encouraged?

Yes. The NOFO explicitly calls out additional eligible or encouraged categories such as Alaska Native and Native Hawaiian Serving Institutions, AANAPISI institutions, Hispanic-serving institutions, HBCUs, Tribally Controlled Colleges and Universities, faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, and tribal governments other than federally recognized.

Why is eligibility so broad for this program?

The broad eligibility aligns with the program's emphasis on diverse perspectives (including the PEDP requirement) and the practical need for interdisciplinary teams that can combine behavioral measurement, engineering, computation, and neuroscience-relevant planning for future integration.

How should applicants think about the transition from R34 to a larger award?

The opportunity is framed as a structured on-ramp: use the R34 to plan, prototype, validate, and demonstrate feasibility for synchronized, high-resolution behavioral and environmental quantification and integrated modeling, then use those results to compete for a larger award (such as a U01) that can scale tools, datasets, and models and connect them more directly to neural measurements and neurobehavioral theory.

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