Cultural Anthropology Program - Doctoral Dissertation Research Improvement Grants | 24 605

Opportunity Information: Apply for 24 605

The National Science Foundation (NSF) Cultural Anthropology Program Doctoral Dissertation Research Improvement Grants (DDRIG) opportunity (Funding Opportunity Number 24-605) supports doctoral dissertation projects that strengthen basic scientific knowledge about the causes, consequences, and complexity of human social and cultural variation. The program is aimed squarely at advancing cultural anthropology as a science, and it encourages projects that are empirically grounded and theoretically engaged, using rigorous and well-justified methods. In practice, that means proposals are expected to be more than interesting descriptions of a community or a social issue; they should clearly show how the dissertation research will test, refine, or expand anthropological theory and produce findings that matter beyond a single case.

A central point in this opportunity is what NSF will and will not fund. Because NSF is focused on basic research, the program does not support projects whose primary goal is applied outcomes like improving clinical practice, producing primarily humanistic interpretation, or directly shaping policy. Projects can absolutely address real-world problems, but they must treat those problems as opportunities to make a generalizable scientific contribution to cultural anthropology. If a proposal uses anthropological tools to study a social problem but does not explain the broader theory-driven payoff for anthropology, NSF indicates it may be returned without review, so the theoretical contribution and research design need to be explicit and convincing.

The program welcomes a wide range of cultural anthropology approaches, including fieldwork and lab-based work, as well as methodologically sophisticated research across subfields. NSF lists a broad set of priority research areas, which signals the kinds of theory-rich topics the program is especially interested in. These include sociocultural drivers behind major human-driven environmental processes (such as deforestation, desertification, land cover change, urbanization, and poverty), and research on resilience and robustness in sociocultural systems. Other highlighted themes include the scientific principles shaping conflict, cooperation, altruism, and variation in norms, behaviors, and institutions; the intersections of economy, culture, migration, and globalization; changing kinship and family practices; and cultural and social drivers of health outcomes and disease transmission. NSF also emphasizes biocultural research linking culture and biology, along with work on social regulation, governmentality, violence, and the origins of complexity in sociocultural systems.

Language and cognition are also explicitly within scope, including orality and literacy and sociolinguistics, as are theoretically informed approaches to co-production that connect understandings of human variability with environmental stewardship. The opportunity also highlights quantitative, mathematical, and computational modeling of sociocultural systems, pointing to methods like social network analysis, agent-based modeling, multi-level models, and integrated approaches combining agent-based simulation with GIS. Finally, NSF signals interest in sociocultural drivers of technology and technological systems, including research related to AI, machine learning, augmented data, and platform-based systems, as long as the project is fundamentally anthropological and theory-building.

Eligibility and submission rules are structured around the dissertation context. Proposals may be submitted by U.S.-based institutions and organizations, including accredited U.S. institutions of higher education (two- and four-year, including community colleges), eligible non-profit non-academic organizations (such as independent museums, observatories, research labs, and professional societies), and federally recognized Tribal Nations. For projects involving an international branch campus of a U.S. institution (including via subawards or consultants), the proposal must explain why work at that branch campus benefits the project and why the activities cannot be performed at the U.S. campus, so applicants need to justify that arrangement clearly rather than treating it as routine.

The leadership structure is also specific to DDRIGs. The dissertation advisor (or advisors) must submit the proposal through standard organizational channels and serve as the Principal Investigator (PI), while the doctoral student is listed as co-PI. Even though the advisor is the PI of record, the student must be the author of the proposal, reflecting that the work is fundamentally the student’s dissertation research. The student must be enrolled at a U.S. institution but does not need to be a U.S. citizen. NSF also notes that the advisor must be available during submission, review, and the award period to manage communications between NSF and the student, underscoring the expectation of active mentoring and administrative support.

From the source details provided, this is a discretionary grant opportunity run by NSF under CFDA 47.075, with an original closing date of January 15, 2025. NSF anticipates making about 50 awards under this competition. While the award ceiling is not specified in the text you provided, the overall framing makes clear that the funding is intended to enhance and improve the conduct of dissertation research, especially by supporting rigorous data collection and analysis plans that produce foundational, broadly relevant scientific insights into sociocultural variation.

• The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Cultural Anthropology Program - Doctoral Dissertation Research Improvement Grants" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.075.
• This funding opportunity was created on 2024-09-13.
• Applicants must submit their applications by 2025-01-15. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
• The number of recipients for this funding is limited to 50 candidate(s).
• Eligible applicants include: Others.

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