SignificanceDo human societies from around the world exhibit similarities in the way that they are structured and show commonalities in the ways that they have evolved? To address these long-standing questions, we constructed a database of historical and archaeological information from 30 regions around the world over the last 10,000 years. Our analyses revealed that characteristics, such as social scale, economy, features of governance, and information systems, show strong evolutionary relationships with each other and that complexity of a society across different world regions can be meaningfully measured using a single principal component of variation. Our findings highlight the power of the sciences and humanities working together to rigorously test hypotheses about general rules that may have shaped human history.
The offshore islands of the North Atlantic were among some of the last settled places on earth, with humans reaching the Faroes and Iceland in the late Iron Age and Viking period. While older accounts emphasizing deforestation and soil erosion have presented this story of island colonization as yet another social–ecological disaster, recent archaeological and paleoenvironmental research combined with environmental history, environmental humanities, and bioscience is providing a more complex understanding of long-term human ecodynamics in these northern islands. An ongoing interdisciplinary investigation of the management of domestic pigs and wild bird populations in Faroes and Iceland is presented as an example of sustained resource management using local and traditional knowledge to create structures for successful wild fowl management on the millennial scale.
Seshat: Global History Databank, established in 2011, was initiated by an ever-growing team of social scientists and humanities scholars to test theories about the evolution of complex societies (Francois et al. 2016; Turchin et al. 2015). Seshat reflects both what is known about global history (within certain practical constraints, discussed below) and also what is unknown, or poorly known. Seshat is a continuously growing dataset incorporating evolving interpretations, highlighting persisting controversies, and contextualizing enduring ambiguities. The quantitative data, suitable for statistical analysis, is buttressed by qualitative nuance embedded in descriptive paragraphs along with references to pertinent scholarship.
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