Short Courses on Innovative Methodologies and Approaches in the Behavioral and Social Sciences

Short Courses on Innovative Methodologies and Approaches in the Behavioral and Social Sciences is sponsored by National Institutes of Health (NIH). This opportunity supports mission-aligned projects and measurable outcomes.

RFA-OD-25-003: Short Courses on Innovative Methodologies and Approaches in the Behavioral and Social Sciences (R25 Clinical Trials Not Allowed) This funding opportunity was updated to align with agency priorities. Carefully reread the full funding opportunity and make any needed adjustments to your application prior to submission. Department of Health and Human Services Part 1.

Overview Information Participating Organization(s) National Institutes of Health ( NIH ) Components of Participating Organizations Office of Behavioral and Social Sciences Research ( OBSSR ) National Heart, Lung, and Blood Institute ( NHLBI ) National Institute on Deafness and Other Communication Disorders ( NIDCD ) National Institute of Dental and Craniofacial Research ( NIDCR ) National Institute of Diabetes and Digestive and Kidney Diseases ( NIDDK ) National Institute on Drug Abuse ( NIDA ) National Institute of Mental Health ( NIMH ) National Institute of Nursing Research ( NINR ) National Center for Complementary and Integrative Health ( NCCIH ) National Cancer Institute ( NCI ) All applications to this funding opportunity announcement should fall within the mission of the Institutes/Centers.

The following NIH Offices may co-fund applications assigned to those Institutes/Centers.

Division of Program Coordination, Planning and Strategic Initiatives, Office of Disease Prevention ( ODP ) Office of Dietary Supplements ( ODS ) Office of Research on Women's Health ( ORWH ) Funding Opportunity Title Short Courses on Innovative Methodologies and Approaches in the Behavioral and Social Sciences (R25 Clinical Trials Not Allowed) May 19, 2025 - Notice of Change to Receipt Dates for RFA-OD-25-003 "Short Courses on Innovative Methodologies and Approaches in the Behavioral and Social Sciences (R25 Clinical Trials Not Allowed)".

See Notice NOT-OD-25-103 . March 31, 2025 - This funding opportunity was updated to align with agency priorities. Carefully reread the full funding opportunity and make any needed adjustments to your application prior to submission.

April 4, 2024 - Overview of Grant Application and Review Changes for Due Dates on or after January 25, 2025. See Notice NOT-OD-24-084 . August 31, 2022 - Implementation Changes for Genomic Data Sharing Plans Included with Applications Due on or after January 25, 2023.

See Notice NOT-OD-22-198 . August 5, 2022 - Implementation Details for the NIH Data Management and Sharing Policy. See Notice NOT-OD-22-189 .

July 22, 2019 - Requirement for ORCID iDs for Individuals Supported by R esearch Training, Fellowship, Research Education, and Career Development Awards Beginning in FY 2020. See Notice NOT-OD-19-109 . Funding Opportunity Number (FON) Companion Funding Opportunity See Section III.

3. Additional Information on Eligibility . Assistance Listing Number(s) 93.

173, 93. 242, 93. 279, 93.

313, 93. 837, 93. 233, 93.

838, 93. 839, 93. 840, 93.

213, 93. 398, 93. 847, 93.

121, 93. 361 Funding Opportunity Purpose The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The overarching goal of this R25 program is to support educational activities that complement and/or enhance the training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs.

To accomplish the stated over-arching goal, this NOFO will support educational activities with a primary focus on: Courses for Skills Development This RFA is to support courses for skills development in cross-cutting methodologies and analytics that are needed to advance behavioral and social sciences research (BSSR) but are not well-addressed by existing educational programs widely available to the BSSR community.

A definition of BSSR can be found at ( https//obssr. od. nih.

gov/about/bssr-definition/ ). Short courses supported by this RFA should develop, implement, evaluate, and disseminate education and training focused on innovative methods for BSSR.

Methodological domains of focus include, but are not limited to, innovative data collection methodologies and analytic techniques, analysis and linking of big data (“Big data” in this NOFO refers to large, complex, longitudinal, and/or distributed data sets generated from administrative data systems or health systems, instruments, sensors, devices, internet transactions, email, video, click streams, and/or all other digital sources available today and in the future), or needed but underutilized designs to advance research across the translational spectrum Proposed educational programs should be integrative, both in the transdisciplinary nature of the skills and approaches taught and in applicability across a wide range of BSSR areas.

The content of the course should focus on knowledge and skills necessary for the advancement of behavioral and social sciences and/or the integration of BSSR with other areas of science and technology. Content should not be limited to specific disease applications but rather focus on generally applicable research methodologies and analytics crucial for more advanced BSSR.

Applicants are expected to describe the learning objectives for the proposed short course, how the proposed course will enhance existing skills and capabilities of the target participants, and how the impact of the learning will be measured. In addition, applicants must describe how this training fills a unique and important skills gap in BSSR that is not already well covered by existing training courses or curricula.

Applicants are strongly encouraged to review and document existing courses similar to the short course being proposed and specify why any similar courses are insufficient to address the training need.

Over the period of support, it is expected that the course will be refined; improved; and sufficiently well documented, developed, and implemented to extend beyond in-person attendance, and beyond the end of the project period (e.g. videos, slides, course materials). The course should be able to benefit more than the limited number that can attend in person.

The development and implementation of fully or predominantly remote training programs is encouraged. Priority will be given to courses that address an important and cross-cutting educational need, that fill a gap in the field not already well addressed by other opportunities, and include a plan for dissemination and sustainability of the training both during and beyond the funding period.

The goal is for the short courses supported by this RFA to build the capacity of the field. To achieve that goal, applicants are encouraged to incorporate methods and models that have the potential to reach an audience that is broader than the attendees. For example, a "Train the Trainers" model is highly encouraged.

With this model, participants are not only taught the research skills but also taught how to teach the material themselves, provided with the tools and resources needed to deliver these trainings in their own institutions (e.g., curricula, selected readings, slide sets, etc.), and receive ongoing technical and evaluation support.

Another example is developing remote learning courses or taking the course to the participants at different institutions, thereby reducing travel costs as well as expanding the reach of the program. Training courses can be of varying lengths, but the duration of the training and the format (online, in-person, or some combination) must be justified based on the learning objectives.

Even if the training is primarily in-person, online adjuncts to the courses are encouraged (i.e., pre-meeting preparation materials and/or post-meeting support materials) and should be made available broadly. Opportunities for attendees to sustain and continue learning beyond the course are strongly encouraged. Such opportunities might take the form of ongoing mentorship, online discussion forums, listservs, or other formats.

Educational opportunities can either recur (the same course is repeated) or can be single-time opportunities (different courses occur over the course of the award period), depending on the needs of the scientific area. The format for course delivery may be in-person, online (e.g., massive open online course [MOOC], interactive online teaching platform), or a hybrid of the two.

Skills development courses that are Open Educational Resources (OERs) are strongly encouraged. OERs generally adhere to FAIR principles (findable, accessible, interoperable, and reproducible) and are freely available online.

Target participants can include those just starting their careers (e.g., graduate students, medical students, medical residents, postdoctoral fellows, early-stage investigators) as well as established investigators (e.g., mid- and late-career researchers) who need skills in new methods that can be applied to their research area.

The NIH expects all programs to engage in outreach and recruitment activities to encourage individuals from a variety of backgrounds to participate in the program.

Consistent with existing NIH practices and applicable law: (1) Funded programs may not use the race, ethnicity, or sex of a trainee, faculty candidate, or program participant as an eligibility or selection criteria, and (2) NIH does not use the race, ethnicity, or sex of trainee candidates, trainees, faculty, or program participants in the application review process or funding decisions.

Applicants and award recipients are encouraged to consult with their General Counsel to ensure all applicable laws and regulations are being followed in program design and implementation.

In addition, applicants are strongly encouraged to consider the strengths and limitations of the methodologies and approaches in the proposed course in addressing research questions across diverse populations and conditions, including potential structural influences and/or impacts on communities/subpopulations disproportionately impacted by disease burden.

Each application must include a plan to evaluate the activities proposed, as well as a plan for disseminating user-friendly course materials to the broader scientific community (see Section IV, Evaluation Plan and Dissemination Plan).

Possible educational topics include, but are not limited to, the following: Recent advances in quantitative, temporally fine-grained laboratory and naturalistic measurement of attention, learning, memory and other cognitive and emotional processes Neuroimaging and other neuroscience measurement approaches specifically applicable to behavioral and social sciences research Methods and measures to increase reach, temporal density, and ecological validity of data collection such as mobile and wireless health approaches to assessment and intervention Measurement and methods to capture critical developmentally specific experiences (e.g. early childhood, transition to adolescence or early adulthood, transition to parenthood, or transition to retirement) and link those to future health outcomes, including intergenerational impact of historical trauma Methods to improve the bidirectional translation of knowledge of behavioral and social processes in humans and animal models (e.g., comparable behavioral testing paradigms in humans and model organisms) Methods for integrating research on basic behavioral and/or social processes into individual and multi-level behavior change intervention development and testing Methods and research designs to facilitate early phase/stage intervention development and testing, such as N-of-1 or single case designs, dosage designs, adaptive, or optimization designs to determine which combinations of components need to be delivered in which context and target population Methods and research designs to facilitate later stage behavioral intervention testing such as pragmatic trials for effectiveness research, or methods to study dissemination or implementation into community or health care settings Methods and research designs for partially nested efficacy and effectiveness studies in which participants are randomized to an arm but are also nested in some higher-level unit such as group, school, or clinic; particularly in the areas of design, analysis, and sample size estimation Methods for stepped wedge designs with particular attention to appropriate uses, data analytic and sample size estimation methods, to address issues such as heterogeneity of intervention effects across time and clusters Methods and approaches to facilitate innovative and rigorous evaluations of natural experiments to capitalize on existing policy and practice implementation, particularly methods to study the social determinants of health and how health outcomes among NIH identified populations experiencing health disparities are impacted by public policies, institutional practices and/or systems (including those outside of the health system such as education, housing, social services, and justice).

Methods and approaches to advance dissemination and implementation science including integration with other disciplines of research such as community engagement, health communication, health services, and public health research Methods to improve the development and implementation of culturally appropriate community engagement in research and translation of knowledge/research findings in verbal or nonverbal modalities and/or other languages Methods and approaches to encourage linking and merging of different types of data or to improve analytic approaches for combined or multilevel data, such as combining quantitative and qualitative data or integration of community level data such as spatial/geographic and biological (e.g., gene or biomarker), behavioral, or social science data Computational approaches for integrating multi-level data to understanding complex and multi-level contributors to health and health behaviors Analytic approaches to better use “big data”, including the use of artificial intelligence methods (e.g., machine learning, natural language processing, deep learning, generative AI, multimodal AI) to better identify patterns, integrate, and visualize data to test important behavioral and social science research questions (“Big data” in this NOFO refers to large, complex, longitudinal, and/or distributed data sets generated from administrative data systems or health systems, instruments, sensors, devices, internet transactions, email, video, click streams, and/or all other digital sources available today and in the future); Methods for addressing challenges with using artificial intelligence approaches in the health and behavioral sciences, such as methods that address privacy, trustworthiness, and data quality (e.g., source credibility, completeness, distributional and logical consistency, understandability, balance, bias, and timeliness), as well as behavioral methods for enhancing human-AI teaming Conducting behavioral and social science research consistent with best practices for transparency and reproducibility and FAIR principles, including handling and sharing data under an open science paradigm (i.e., improving access to research products and processes while maintaining security and privacy and demonstrating respect for individuals from all backgrounds) Methodological resources to support research in behavioral and social science data, measure repositories, analytic guidance, and other research tools.

Training in research approaches and methodologies should be relevant to a broad range of behavioral and social scientists. However, the short course must also be directly relevant to the priorities and mission of one or more of the participating Institutes and Centers.

If the methods and approaches in the proposed course advance the behavioral and social science more broadly (not just applicable to one disease or age group), short courses may focus on educating researchers with a disease or life stage emphasis.

Applicants are encouraged to discuss the focus of their proposed short course with the relevant scientific contact before submitting to be sure the focus is consistent with the NOFO and aligned with the mission and priorities of the Institute or Center.

Funding Opportunity Goal(s) NIH's mission is to seek fundamental knowledge about the nature and behavior of living systems and the application of that knowledge to enhance health, lengthen life, and reduce illness and disability. Open Date (Earliest Submission Date) Dates in bold and italics reflect changes per NOT-OD-25-103 .

Application Due Dates Review and Award Cycles New Renewal / Resubmission / Revision (as allowed) AIDS - New/Renewal/Resubmission/Revision, as allowed Scientific Merit Review Advisory Council Review Earliest Start Date April 09, 2025 April 09, 2025 Not Applicable July 2025 October 2025 December 2025 April 09, 2027 April 9, 2027 Not Applicable July 2027 October 2027 December 2027 All applications are due by 5:00 PM local time of applicant organization.

Applicants are encouraged to apply early to allow adequate time to make any corrections to errors found in the application during the submission process by the due date. No late applications will be accepted for this Notice of Funding Opportunity (NOFO).

Required Application Instructions It is critical that applicants follow the instructions in the Research (R) Instructions in the How to Apply - Application Guide , except where instructed to do otherwise (in this NOFO or in a Notice from NIH Guide for Grants and Contracts ). Conformance to all requirements (both in the How to Apply - Application Guide and the NOFO) is required and strictly enforced.

Applicants must read and follow all application instructions in the How to Apply - Application Guide as well as any program-specific instructions noted in Section IV . When the program-specific instructions deviate from those in the How to Apply - Application Guide , follow the program-specific instructions. Applications that do not comply with these instructions may be delayed or not accepted for review.

There are several options available to submit your application through Grants. gov to NIH and Department of Health and Human Services partners. You must use one of these submission options to access the application forms for this opportunity.

Use the NIH ASSIST system to prepare, submit and track your application online. Use an institutional system-to-system (S2S) solution to prepare and submit your application to Grants. gov and eRA Commons to track your application.

Check with your institutional officials regarding availability. Workspace to prepare and submit your application and eRA Commons to track your application. Part 1.

Overview Information Part 2. Full Text of Announcement Section I. Funding Opportunity Description Section II.

Award Information Other Award Budget Information Section III. Eligibility Information Section IV. Application and Submission Information Section V.

Application Review Information Section VI. Award Administration Information Section VII. Agency Contacts Section VIII.

Other Information Part 2. Full Text of Announcement Section I. Funding Opportunity Description The NIH Research Education Program (R25) supports research educational activities that complement other formal training programs in the mission areas of the NIH Institutes and Centers.

The overarching goal of this R25 program is to support educational activities that complement and/or enhance the training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs.

To accomplish the stated over-arching goal, this NOFO will support educational activities with a primary focus on: Courses for Skills Development: For example, advanced courses in a specific discipline or research area, clinical procedures for research, or specialized research techniques.

Research education programs may complement ongoing research training and education occurring at the applicant institution, but the proposed educational experiences must be distinct from those training and education programs currently receiving Federal support. Research education programs may augment institutional research training programs (e.g., T32, T90) but cannot be used to replace or circumvent Ruth L.

Kirschstein National Research Service Award (NRSA) programs, Note: Applicants may choose to address one or more of the activities listed above. Please see below for additional Institute and Center priorities.

NCCIH Specific Language : NCCIH is interested in applications for educational programs on research methods with relevance to complementary and integrative health approaches with psychological and/or physical inputs (often called mind and body approaches), including various meditation approaches (e.g., mindfulness), hypnosis or guided imagery, meditative movement approaches (e.g., yoga, tai chi, qi-gong), body-based approaches (e.g., spinal manipulation, massage, mobilization, acupuncture), a combination of these approaches (e.g., meditation and yoga, such as in mindfulness-based stress reduction MBSR), or complex interventions including music and art therapy.

Computational and data science methods for studying complex systems to advance research on Whole Person Health including machine learning and artificial intelligence algorithms, mathematical and computational modeling, predictive multisystem models, problem-driven multi-models, mechanistic multisystem models, or simulation modeling are also of interest.

Investigators are strongly encouraged to discuss their plans with NCCIH program staff prior to applying. NCI is the federal government’s principal agency for cancer research and training. Its mission is to lead, conduct, and support cancer research to advance scientific knowledge and increase wellness for all.

Examples of topics in behavioral and social science research of interest to NCI include, but are not limited to: Application of data science methods to behavioral and social science research including: Natural language processing Applying data science methods to: Understand how to change and maintain risk-reducing behaviors (e.g., how to get smokers to quit) Use of data standards such as common data elements based on clear definitions and agreed-upon inter-relationships between terms such as seen in ontologies Data harmonization techniques Research methods for evaluating complex multilevel interventions to reduce health disparities Improving methods in clinical trial study design that applies the NIH Stage Model Approaches to develop methods that provide accurate and appropriate interventions relying on the principles of the NIH Stage Model Improving methods of statistics and data science such as artificial intelligence, machine learning, natural language processing, and large language models use in electronic health record reading to improve aging health outcomes such as preventable hospitalizations, medication errors, and falls in health systems research Teaching methods of experimental design and quantitative literacy Methods and research design that incorporates data linkage (via the NIA LINKAGE program ) and harmonization that use NIA-supported survey data and the CMS data user agreement Advancing methods in social network analysis, especially as they relate to the development of social network interventions The mission of NIDA is to advance science on the causes and consequences of drug use and addiction and to apply that knowledge to improve individual and public health.

NIDA is interested in supporting short courses to build a capacity in the field of observational/etiologic, prevention, treatment, and health services research to address substance use and substance use disorder (SUD), as well as comorbid conditions including HIV, psychiatric disorders, and suicide.

Proposed short courses should include content regarding how potential end users of data may be engaged across different levels of engagement (e.g., information dissemination through co-production), including persons with lived or living experience, clinical practitioners, public health officials and others who may be consumers of research findings as patients/clients, service providers, or programmatic/policy decision makers.

Examples of educational topics of interest to NIDA include, but are not limited to: Application of data science to accelerate the pace of social and behavioral science innovation in drug use research engaging end-users of data.

Data science methods might include artificial intelligence (AI) (including generative AI and multimodal AI) and machine learning, with attention to critical issues such as bias, fairness, transparency, and privacy.

Re-use of data accessible via the National Addiction & HIV Data Archive Program (NAHDAP), NIDA Data Share , other NIDA supported initiatives with data repositories such as the Adolescent Brain Cognitive Development (ABCD) Study , the HEAL Initiatives , or the MACS-WIHS Combined Cohort Study .

Methods and research design that facilitate the generation of actionable findings from epidemiologic research, administrative data, or other existing data resources that can be translated into public health strategies and interventions to prevent and treat substance use and addiction. Clinical trial design and analysis of behavioral, digital, pharmacological, neuromodulatory, or combined treatments for substance use disorder.

Implementation science methodologies for assessing the impacts of evolving policies at federal, state, and community levels on prevention and treatment programs and systems Innovative methods for assessing and intervening on social factors that play a role in substance use initiation, treatment access, treatment retention, and recovery, such as stigma, social connectedness and support from loved ones, and social determinants (e.g., housing, transportation).

Innovative methods to improve substance use services research, including but not limited to enhancement of just-in-time adaptive behavioral interventions, adaptation of existing services into more patient-centered models of care, understanding and improving capacity and impact of the SUD services workforce, and improving measurement of substance use treatment outcomes.

Methods to improve culturally centered engagement and program related to substance use prevention and treatment, particularly among groups of people and communities most affected by SUD and overdose, including African American/Black and American Indian/Alaska Native populations.

Methods to address substance use prevention and treatment among justice-involved populations, including persons who are incarcerated, those in community-correction systems, or those under the jurisdiction of special purposes courts such as family or drug courts.

Methods to guide the response of providers and systems to the HIV epidemic and its intersection with substance use, with particular attention to research that informs the implementation of evidence-based practices to prevent and treat HIV, substance use, SUD and related conditions.

Cutting-edge technological methods that identify and characterize neural circuits involved in sensory processing In silico (computer) models to enable insights into normal and disordered function in sensory and/or communication systems Precision medicine approaches to prevention, diagnosis, and treatment of sensory and/or communication disorders Methods and research designs that accelerate translation and implementation of scientific advances into standard clinical care for individuals with sensory and/or communication disorders Methods and research designs that promote health for all and advance access to clinical care of sensory and/or communication disorders Methods and research designs to facilitate community engaged research and ethical research practices in resource constrained settings from early phase/stage intervention development and testing though community implementation of innovations intended to impact the lives of individuals with sensory/and/or communication disorders Use of best practices in biomedical data science in NIDCD mission areas, including (1) development and use of standardized outcome measures; (2) creation and use of data repositories consistent with best practices for transparency, reproducibility, and FAIR principles; (3) development of artificial intelligence and machine learning algorithms that provide novel insights and applications for prevention, diagnosis, and treatment of sensory and/or communication disorders Advanced technology to improve prevention, diagnosis, and treatment of sensory and/or communication disorders, including (1) novel engineering solutions to restore function (e.g., prostheses, assistive devices); (2) leveraging technological advances (e.g., artificial intelligence, machine learning) to enhance augmentative and alternative communication options; (3) specialized in vivo imaging to enable imaging of living human tissues The NIDCR mission is to improve dental, oral, and craniofacial health through research and research training, and by promoting the timely transfer of knowledge gained from research to the public.

Decades of NIDCR- and NIH-funded research have revealed the interconnectedness of dental, oral, craniofacial, and systemic health that herald unique opportunities for future behavioral and social scientific research that illuminates the impacts of individual and group behaviors and the circumstances in which those behaviors occur on human health and wellbeing.

NIDCR’s interests include and are not limited to, Actuarial, economic, financial, human engineering, and related methods that can be used with secondary data or concurrently with behavioral-intervention data beyond that can lead to optimized care and management for health-related conditions and/or optimum delivery of individual- or group-delivered interventions; Analytical approaches inherently created for combined or multilevel data analyses, for example, integration of behavioral intervention data with biological, electronic-health record, genetic, and sociological data for more comprehensive understandings of multiple influences on human behavior; Next-generation community engaged research models that integrate fundamental knowledge about the nature and behavior of living systems to scientifically edify community members to participate more equitably in research projects from initial design through the final analyses and interpretations of data; and, Unique design and methods that facilitate testing hypotheses on the causality causality of behavioral, biological, biopsychosocial, interpersonal (or inter-alloanimal), neurological, societal, and structural mechanisms or processes on behavioral maintenance, change, and ongoing adherence in health-related contexts.

NIDDK Priority Statement: The National Institute of Nursing Research (NINR) is interested in applications for short course educational programs that advance research methods and approaches aligned with our mission and strategic priorities , conducted by scientists from any discipline.

NINR discovers solutions to health challenges through the lenses of health for all, social determinants of health, population and community health, prevention and health promotion, and systems and models of care.

Drawing on the strengths of nursing’s holistic, contextualized perspective, core values, and broad reach, NINR funds multilevel and cross-sectoral research that examines the factors that impact health across the many settings in which nurses practice, including homes, schools, workplaces, clinics, justice settings, and the community.

NINR has a particular interest in community engaged research, innovative methods for Social Determinants of Health focused interventions, natural experiments and policy research, and the integration of AI and data science into SDOH research. Applicants are strongly encouraged to contact NINR staff prior to applying.

The Office of Dietary Supplements (ODS) seeks to advance dietary supplement science and catalyze innovative and collaborative research to close critical public health knowledge gaps and expand research capacities in the field of dietary supplement science.

ODS is interested in supporting applications for innovative training programs or short courses that develop biomedical workforce skills necessary to improve the methodology, rigor, reproducibility, transparent reporting, and/or translatability of behavioral and social sciences research centered on dietary supplement use.

Applications should demonstrate that courses address educational needs and include topics on innovative design, measurement, and analytic methods relevant to dietary supplement and related nutrition research. Educational topics of interest to ODS include, but are not limited to: Innovative designs, survey methods, and objective measures to advance the study of population-based dietary supplement use and health outcomes.

Innovative methodologies and approaches to advance the study of dietary supplement effects on resilience ( https://ods. od. nih.

gov/Research/resilience. aspx ) and health across the lifespan. Methodological approaches to promote scientific best practices in the design, conduct, and reporting of dietary supplement research.

The ODS does not award grants but may co-fund research grants. Therefore, applications must be relevant to the objectives of at least one of the participating NIH Institutes and Centers (IC) listed in this announcement. Please contact the relevant IC Scientific Contact(s) listed for questions regarding IC research priorities and funding.

Office of Research on Women’s Health Specific Language See Section VIII. Other Information for award authorities and regulations. Section II.

Award Information Grant: A financial assistance mechanism providing money, property, or both to an eligible entity to carry out an approved project or activity. Application Types Allowed The OER Glossary and the How to Apply - Application Guide provide details on these application types. Only those application types listed here are allowed for this NOFO.

Not Allowed: Only accepting applications that do not propose clinical trial(s). Need help determining whether you are doing a clinical trial? Funds Available and Anticipated Number of Awards The number of awards is contingent upon NIH appropriations and the submission of a sufficient number of meritorious applications.

NIH intends to fund an estimate of 3-4 awards, corresponding to a total of $1 million, for each fiscal years 2026 and 2028. Future year amounts will depend on annual appropriations. OBSSR intends to commit $1 million in FYs 2026 and 2028 to fund 3-4 awards.

Application budgets are limited to $200,000 direct costs per year and need to reflect the actual needs of the proposed project. The maximum project period is 4 years. Other Award Budget Information Individuals designing, directing, and implementing the research education program may request salary and fringe benefits appropriate for the person months devoted to the program.

Salaries requested may not exceed the levels commensurate with the institution's policy for similar positions and may not exceed the congressionally mandated cap. (If mentoring interactions and other activities with participants are considered a regular part of an individual's academic duties, then any costs associated with the mentoring and other interactions with participants are not allowable costs from grant funds).

Participants may be compensated for participation in activities specifically required by the proposed research education program, if sufficiently justified. Participant costs