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The past few decades have witnessed a proliferation of large comparative cultural databases, primarily consisting of contemporary data (e.g., ethnographic writings), but increasingly historical data as well (including archaeological materials). Individually, these databases already serve as valuable resources as evidenced by the growing number of papers utilizing them. However, further benefits could result from merging or linking these data in ways that surpass their original intentions and ambitions. One avenue is the integration of ethnographic and historical data to help remedy the weaknesses of each (e.g., by addressing lacunae, imprecision, bias, subjectivity, and unreliability) and draw on their reciprocal strengths (e.g., by combining longitudinal depth and primary source material) of these different forms of evidence. The work presented here is a further step in that direction. This article shows how efforts to quantitatively examine historical variation in features of warfare benefit from combining ethnographic, historical, and archaeological data. It describes the general challenges faced by combining datasets (e.g. units of analyses, differing variables across datasets, sampling issues, etc.), how these challenges can be mitigated, and what further challenges remain to be addressed. The overall aim is to encourage further research into the benefits and challenges of  integrating such datasets.

This report describes the current canonical time-series dataset named “Equinox2020,” a subset of Seshat: Global History Databank data for a well-curated list of polities and variables available on the Seshat Data Browser. The report provides an introduction to the methods and procedures of the Seshat project relating to the curation and release of the Equinox2020 dataset.

Previous research suggests that sharing emotionally intense experiences with others, for example by undergoing dysphoric collective rituals together, can lead to "identity fusion," a visceral feeling of oneness that predicts group cohesion and self-sacrifice for the group. In this pre-registered research, we provide the first quantitative investigation of identity fusion following participation in a national funeral, surveying 1632 members of the British public. As predicted, individuals reporting intense sadness during Queen Elizabeth II's funeral exhibited higher levels of identity fusion and pro-group commitment, as evidenced by generosity pledges to a British Monarchist charity. Also consistent with our hypotheses, feelings of unity in grief and emotional sharedness during the event mediated the relationship between sadness intensity and pro-group commitment. These findings shed light on importance of collective rituals in fostering group cohesion, cooperation, and the dynamics of shared emotional experiences within communities. [ABSTRACT FROM AUTHOR]

Do 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? These are long-standing questions that have proven difficult to answer. To test between competing hypotheses, we constructed a massive repository of historical and archaeological information known as "Seshat: Global History Databank." We systematically coded data on 414 societies from 30 regions around the world spanning the last 10,000 years. We were able to capture information on 51 variables reflecting nine characteristics of human societies, such as social scale, economy, features of governance, and information systems. Our analyses revealed that these different characteristics show strong relationships with each other and that a single principal component captures around three-quarters of the observed variation. Furthermore, we found that different characteristics of social complexity are highly predictable across different world regions. These results suggest that key aspects of social organization are functionally related and do indeed coevolve in predictable ways. 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.

Social Evolution Forum.

Agricultural productivity, and its variation in space and time, plays a fundamental role in many theories of human social evolution. However, we often lack systematic information about the productivity of past agricultural systems on a large enough scale in order to be able to test these theories properly. The effect of climate on crop yields has received a great deal of attention resulting in a range of empirical and process-based models, yet the focus has primarily been on current or future conditions. In this paper, we argue for a “bottom-up” approach that estimates productivity, or potential productivity based on information about the agricultural practices and technologies used in past societies. Of key theoretical interest is using this information to estimate the carrying capacity of a given region, independently of estimates of population size. We outline how explicit crop yield models can be combined with high quality historical and archaeological information about past societies, in order to infer the temporal and geographic patterns of change in agricultural productivity and potential. We discuss the kinds of information we need to collect about agricultural techniques and practices in the past, and introduce a new databank initiative we have developed for collating the best available historical and archaeological evidence. A key benefit of our approach lies in making explicit the steps in the process of estimating past productivities and carrying capacities, and in being able to assess the effects of different modelling assumptions. This is undoubtedly an ambitious task, yet promises to provide important insights into fundamental aspects of past societies, and will enable us to test more rigorously key hypotheses about human socio-cultural evolution.

The vast amount of knowledge about past human societies has not been systematically organized and, therefore, remains inaccessible for empirically testing theories about cultural evolution and historical dynamics. For example, what evolutionary mechanisms were involved in the transition from the small-scale, uncentralized societies, in which humans lived 10,000 years ago, to the large-scale societies with an extensive division of labor, great differentials in wealth and power, and elaborate governance structures of today? Why do modern states sometimes fail to meet the basic needs of their populations? Why do economies decline, or fail to grow? In this article, we describe the structure and uses of a massive databank of historical and archaeological information, Seshat: The Global History Databank. The data that we are currently entering in Seshat will allow us and others to test theories explaining how modern societies evolved from ancestral ones, and why modern societies vary so much in their capacity to satisfy their members’ basic human needs.

In this Henry Myers Lecture, I summarize several decades of collaborative research on the role of ritual in group bonding and co‐operation, ranging from psychology experiments in university laboratories to field research among indigenous groups, and from surveys with armed revolutionaries to extended interviews with religious adherents. This body of work is helping to clarify the mechanisms by which social cohesion and prosocial behaviour are generated in a variety of groups, such as mothers experiencing traumatic births, football fans suffering defeat at crucial matches in Brazil and Australia, and Muslim fundamentalists in Indonesia contemplating insults to Islam in faraway conflicts. These findings also shed light on changes in ritual life from the palaeolithic to the first farmers and from archaic states to the first moralizing religions. In keeping with the forward‐looking theme of the 2022 RAI conference, I consider the implications of these findings for various practical problems facing humanity today, such as how to reduce crime and to prevent violent extremism and how to foster more inclusive forms of leadership and motivate action on environmental issues. [ABSTRACT FROM AUTHOR]

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