Opportunity Information: Apply for RFA OD 17 004

The grant opportunity titled "Intensive Longitudinal Analysis of Health Behaviors: Leveraging New Technologies to Understand Health Behaviors (U01)" (Funding Opportunity Number RFA OD 17 004) is a National Institutes of Health (NIH) cooperative agreement designed to support a coordinated set of research projects focused on understanding health behaviors as they unfold within individuals over time. Rather than relying on occasional survey snapshots or broad population averages, this program emphasizes intensive longitudinal approaches, meaning frequent, repeated measurements collected in real-world settings. The overall goal is to capture the moment-to-moment and day-to-day dynamics that shape behaviors such as physical activity, diet, medication adherence, sleep, substance use, stress-related coping, and other health-relevant actions, and to use these insights to strengthen and modernize behavioral theory so that interventions become more precise and effective.

A central theme of this funding opportunity is leveraging newer technologies and data streams to study behavior at a fine-grained level. While the FOA does not prescribe a single method, it is aimed at studies that use tools like smartphones, wearable sensors, ecological momentary assessment (EMA), passive sensing, geolocation, digital traces, or other high-frequency measurement strategies. Applicants are expected to pair these data collection strategies with analytic methods suited to intensive longitudinal data, such as time-series analysis, dynamic systems modeling, multilevel modeling, or other approaches that can identify within-person patterns, variability, and triggers. The emphasis is on identifying factors that influence behavior at the individual level, including situational contexts, affective states, social interactions, environmental cues, and other proximal drivers that traditional methods often miss.

In addition to generating empirical findings, the FOA highlights a network-oriented purpose: projects are not meant to operate in isolation, but to contribute to a broader effort that examines how results from intensive longitudinal studies can be used to introduce innovations into longstanding behavioral theories. In practice, this means the funded set of projects is expected to do more than simply predict behavior; it should inform and potentially reshape theory-driven models of behavior change by clarifying mechanisms, temporal ordering, feedback loops, and the conditions under which behavior change processes succeed or fail. The long-term payoff the NIH is signaling here is better theory, which in turn supports better intervention design, including interventions that adapt over time or respond to an individuals changing risk or motivation.

This opportunity is issued by the U.S. Department of Health and Human Services through NIH, and it falls under the discretionary funding category using a cooperative agreement mechanism (U01). A U01 typically indicates that NIH expects substantial programmatic involvement during the project period, such as coordination across awardees, participation in network activities, shared standards or measures where appropriate, and ongoing collaboration with NIH staff. The activity category is listed under education and health, and the associated CFDA numbers include 93.242, 93.273, 93.279, 93.393, and 93.399, reflecting the multi-institute nature of NIH support that often accompanies cross-cutting behavioral research programs.

From an applicant standpoint, eligibility is broad and includes many types of organizations that can conduct health research. Eligible applicants include state, county, and city or township governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments and other tribal organizations; public housing authorities and Indian housing authorities; nonprofit organizations with or without 501(c)(3) status (as long as they are not institutions of higher education in those categories); for-profit organizations other than small businesses; and small businesses. The listing also includes an "others" category with a note to consult the additional eligibility text in the full announcement for any clarifications or special conditions.

In terms of funding size and scale, the award ceiling is $500,000, and NIH anticipated making about five awards under this announcement. The FOA was created on March 22, 2017, and the original closing date was January 7, 2018. Although that deadline has passed, the details still provide a clear picture of what NIH was prioritizing: a small set of relatively well-funded, tightly coordinated projects capable of collecting rich within-person data and producing analytic and theoretical advances that can move behavior change science forward.

Overall, this grant opportunity targets teams that can combine strong behavioral science with rigorous longitudinal methodology and modern measurement technology. The most competitive projects under a call like this tend to be those that (1) capture real-time or near-real-time data on behavior and its determinants, (2) use appropriate analytic methods to model within-person change processes, (3) generate insights that can refine or extend behavioral theory, and (4) contribute meaningfully to a network structure where methods, lessons learned, and theory implications can be compared and synthesized across multiple studies.

  • The Department of Health and Human Services, National Institutes of Health in the education, health sector is offering a public funding opportunity titled "Intensive Longitudinal Analysis of Health Behaviors: Leveraging New Technologies to Understand Health Behaviors (U01)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.242, 93.273, 93.279, 93.393, 93.399.
  • This funding opportunity was created on Mar 22, 2017.
  • Applicants must submit their applications by Jan 07, 2018. (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 $500,000.00 in funding.
  • The number of recipients for this funding is limited to 5 candidate(s).
  • 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 (see text field entitled Additional Information on Eligibility for clarification).
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Funding Number: RFA CA 17 027
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Consortium on Translational Research in Early Detection of Liver Cancer (Clinical and Research Centers (U01) Apply for RFA CA 17 025

Funding Number: RFA CA 17 025
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Coordinating Center for the Consortium of Translational Research in Early Detection of Liver Cancer (U24) Apply for RFA CA 17 028

Funding Number: RFA CA 17 028
Agency: Department of Health and Human Services, National Institutes of Health
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Funding Number: RFA CA 17 042
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Coordinating Center for Improving Management of Symptoms Across Cancer Treatments (IMPACT) (U24) Apply for RFA CA 17 043

Funding Number: RFA CA 17 043
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Mechanisms of Cancer Drug Resistance and Sensitivity: Coordinating Center (U24) Apply for RFA CA 17 044

Funding Number: RFA CA 17 044
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Funding Number: RFA CA 17 039
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The NCI Predoctoral to Postdoctoral Fellow Transition Award (F99/K00) Apply for RFA CA 18 001

Funding Number: RFA CA 18 001
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Funding Number: RFA CA 18 002
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Advanced Development and Validation of Emerging Biospecimen Science Technologies for Basic and Clinical Cancer Research (R33 - Clinical Trial Not Allowed) Apply for RFA CA 18 005

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Fast-Track Development of Medications to Treat Cannabis Use Disorders (UG3/UH3 Clinical Trial Optional) Apply for PAR 18 221

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