Opportunity Information: Apply for RFA OD 19 011
The National Institutes of Health (NIH) funding opportunity titled "Predoctoral Training in Advanced Data Analytics for Behavioral and Social Sciences Research (BSSR) - Institutional Research Training Program [T32]" (Funding Opportunity Number RFA OD 19 011) supports the creation of new, institution-based predoctoral training programs that are designed to modernize and strengthen the behavioral and social sciences health research workforce. The central aim is to build structured training environments where doctoral-level trainees gain strong, practical skills in computational methods and data science analytics, specifically tailored to behavioral and social sciences research questions that increasingly rely on large, complex, and fast-growing sources of health-related data.
At the core of the program is a workforce-development vision: NIH wants institutions to cultivate a cohort of predoctoral researchers who can confidently work at the intersection of behavioral and social science and advanced analytics. In practical terms, this means preparing trainees to handle and learn from "big data" relevant to behavior, social context, and health, and to use innovative analytic approaches to generate insights that can improve public health and health-related outcomes. While the announcement does not list specific methods in the excerpt, the emphasis on "innovative computational and/or data science analytic approaches" signals training programs that go beyond traditional statistical coursework and instead incorporate modern data-intensive thinking, reproducible computational workflows, and advanced analytic strategies appropriate for complex behavioral and social health data.
This opportunity uses the NIH institutional training grant mechanism (T32), which is designed for organizations to develop and run a formal training program rather than fund a single individual project. The funding instrument type is a grant, and the opportunity category is discretionary. The funding activity category spans multiple public-serving domains including education, health, and social services, reflecting the broad relevance of advanced analytics training to population health, behavior, and social determinants of health. The opportunity is associated with multiple CFDA numbers (including 93.233, 93.242, 93.273, 93.279, 93.307, 93.361, 93.398, 93.837, 93.838, 93.839, 93.840, 93.847, 93.865, 93.866, and 93.879), which indicates the program aligns with several NIH-related funding areas and institutes.
Eligibility is intentionally broad across U.S.-based organizations and government entities. 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; public housing authorities and Indian housing authorities; Native American tribal organizations that are not federally recognized tribal governments; 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; small businesses; and additional entities captured under "others." The announcement also explicitly highlights a range of organizations as other eligible applicants, including Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISISs), faith-based or community-based organizations, Hispanic-serving institutions, Historically Black Colleges and Universities (HBCUs), Indian/Native American tribal governments that are not federally recognized, regional organizations, Tribally Controlled Colleges and Universities (TCCUs), eligible agencies of the federal government, and U.S. territories or possessions. This emphasis signals a strong interest in participation from a diverse set of institutions, including those that serve populations historically underrepresented in the biomedical, behavioral, and social sciences research workforce.
The geographic and organizational limits are clear: non-domestic (non-U.S.) entities (foreign institutions) are not eligible to apply, and non-domestic components of U.S. organizations are also not eligible. In other words, the applicant organization and the core components of the proposed training program must be U.S.-based rather than overseas affiliates or foreign campuses.
Key administrative details from the source information include an original closing date of 2019-05-25 and a creation date of 2018-10-03. The excerpt does not provide an award ceiling or the expected number of awards, so those specifics are not available in the provided text. Overall, this FOA is best understood as an NIH effort to institutionalize advanced data analytics training within behavioral and social sciences doctoral programs, so that emerging researchers are prepared for modern health research environments where computational approaches and large-scale behavioral and social health data are increasingly central.Apply for RFA OD 19 011
- The National Institutes of Health in the education, food and nutrition, health, income security and social services sector is offering a public funding opportunity titled "Predoctoral Training in Advanced Data Analytics for Behavioral and Social Sciences Research (BSSR) - Institutional Research Training Program [T32]" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.233, 93.242, 93.273, 93.279, 93.307, 93.361, 93.398, 93.837, 93.838, 93.839, 93.840, 93.847, 93.865, 93.866, 93.879.
- This funding opportunity was created on 2018-10-03.
- Applicants must submit their applications by 2019-05-25. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- 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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