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| Funder | National Science Foundation (US) |
|---|---|
| Recipient Organization | University of Wyoming |
| Country | United States |
| Start Date | Sep 01, 2021 |
| End Date | Aug 31, 2026 |
| Duration | 1,825 days |
| Number of Grantees | 2 |
| Roles | Principal Investigator; Co-Principal Investigator |
| Data Source | National Science Foundation (US) |
| Grant ID | 2114574 |
Researchers are conducting archaeological analysis focused on understanding the origins, emergence, persistence, and contraction of inequality in emerging complex societies. Archaeology is uniquely suited for the study of these dynamics due to the high-resolution material data and great time depth that the archaeological record affords investigators.
The researchers consider the factors that contributed to inequality in the past with the aim of contributing to understanding inequality in the present-day. The project also increases access to leadership opportunities for individuals traditionally underrepresented in archaeology. Two members of project leadership are women and one is an underrepresented in science doctoral student.
This research not only trains graduate students in the field but will be integrated into undergraduate courses including the “Origins of the State” where students will better understand the linkages between complex societies, emergent inequalities, and inequity, as well as the critical role played by archaeology in illuminating these issues.
This multidisciplinary and multinational team will investigate inequality through the detailed, comparative excavation and analysis of ancient households, storage features, and mortuary contexts dating to multiple time periods. Large samples of households, storage features, and burials will be excavated, and comparative statistical analysis (Gini coefficients) will be applied to variables linked to inequality, such as, for example, house size and complexity.
The Gini coefficient is a numerical measure of the unequal concentration of some measured variable within a community or among communities in a society and is used by economists to measure inequality in contemporary societies. These large archaeological datasets and their Gini coefficients allows the team to empirically measure inequality through time.
This kind of large-scale statistical analysis provides an important case study to the understanding of inequality worldwide from the human past. The investigation challenges common impressions that once established, inequality is unchanging and inevitable. Intensities of economic and social inequality are instead highly situational and dynamically linked to broader social change, leadership strategies, and interregional interaction.
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.
University of Wyoming
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