Cultural Anthropology Program - Doctoral Dissertation Research Improvement Grants
OpenU.S. National Science Foundation
Updated: Oct 30, 2025
Summary
The Cultural Anthropology Program aims to support basic scientific research on human social and cultural variability, encouraging proposals that contribute to theoretical advancements in anthropology through empirical research. Eligible applicants include non-profit organizations, institutions of higher education in the U.S., and federally recognized Tribal Nations, with proposals submitted by faculty advisors on behalf of doctoral students. Application details are not explicitly provided, but interested parties should contact NSF grants.gov support for assistance.
Full Description
Description
- Sociocultural drivers of critical anthropogenic processes such as deforestation, desertification, land cover change, urbanization and poverty.
- Resilience and robustness of sociocultural systems.
- Scientific principles underlying conflict, cooperation and altruism, as well as explanations of variation in culture, norms, behaviors and institutions.
- Economy, culture, migration and globalization.
- Variability and change in kinship and family norms and practices.
- General cultural and social principles underlining the drivers of health outcomes and disease transmission.
- Biocultural work that considers the nexus of human culture and its relationship with human biology.
- Social regulation, governmentality and violence.
- Origins of complexity in sociocultural systems.
- Language and culture: orality and literacy, sociolinguistics and cognition.
- Theoretically-informed approaches to co-production in relation to scientific understandings of human variability and environmental stewardship.
- Mathematical and computational models of sociocultural systems such as social network analysis, agent-based models, multi-level models, and modes that integrate agent-based simulations and geographic information systems (GIS).
- Socio-cultural drivers of technology and technological systems such as AI, machine learning, augmented data, and platforms.
Eligibility
Eligible applicants
Miscellaneous
- Other
Additional information
Grantor contact information
Description
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