
NSF Org: |
BCS Division of Behavioral and Cognitive Sciences |
Recipient: |
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Initial Amendment Date: | March 13, 2023 |
Latest Amendment Date: | March 13, 2023 |
Award Number: | 2241823 |
Award Instrument: | Standard Grant |
Program Manager: |
Jeffrey Mantz
jmantz@nsf.gov (703)292-7783 BCS Division of Behavioral and Cognitive Sciences SBE Directorate for Social, Behavioral and Economic Sciences |
Start Date: | September 1, 2023 |
End Date: | August 31, 2026 (Estimated) |
Total Intended Award Amount: | $159,098.00 |
Total Awarded Amount to Date: | $159,098.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
201 PRESIDENTS CIR SALT LAKE CITY UT US 84112-9049 (801)581-6903 |
Sponsor Congressional District: |
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Primary Place of Performance: |
260 S Central Campus Dr, 4525 Salt Lake City UT US 84112-9199 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | Cultural Anthropology |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.075 |
ABSTRACT
Individuals in our increasingly connected society straddle multiple social worlds. Understanding the intersecting identities that result from these connections is a pressing challenge for social science and policy. This project uses both cross-cultural empirical research and theory-driven mathematical modeling to conceptualize and measure group affiliations, developing a suite of empirical and conceptual tools for social scientists to better engage with the complexities of modern social life. The project trains a post-doctoral scholar and PhD student in scientific and mathematical methods and theory. It also creates interactive, publicly available online tools that (1) explain theories of group membership, (2) illustrate how we can empirically measure group affiliations and the relationships between groups, and (3) demonstrate how the integration of theory and measurement can create a more accurate picture of how our social worlds evolve.
This work builds on theories that assert that outward expressions of identity are used instrumentally to facilitate assortment and expedite social interactions, including cooperation and aggression. While these theories are well supported, they often present a limited, unidimensional characterization of identity. In this project, investigators develop cultural evolutionary theory to understand how multifaceted group affiliations respond to individual incentives, including the costs and benefits of coordinating identities and cooperation. Specifically, it builds a new statistical approach that identifies and measures the relationships between real groups. Models are iteratively refined via tests using ethnographic data collected to capture how people understand their own and others? identities across multiple realms of interaction. Despite being evident that individuals hold multiple group affiliations, we do not currently have analytical tools or language that adequately describes the complex nature of group affiliations. This project builds these tools to contribute to understanding how individuals position themselves across a range of social relationships.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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