Kinbank is a global database of 210,903 kinship terms derived from 1,229 spoken and signed languages. The authors created Kinbank as a tool to help explain recurring patterns across cultures through kinship terminology. They illustrate its usefulness by addressing two questions as an example: 1) Is there gender bias in the phonological structure of parent terms? and 2) Did bifurcate-merging terminology and cross-cousin marriage co-evolve in Bantu languages? Using a Bayesian phylogenetic approach, the authors find support for the first question, but none for the latter.

In this article, the authors seek to understand dog-human coevolution by considering predictors of different aspects of dog-human relationships across cultures. In order to measure dog-human relationships, the researchers created three indexes: dogs' utility for humans (DUH), humans' utility for dogs (HUD), and the personhood of dogs (PD). Each of these indexes were tested against various pre-coded variables that were empirically and theoretically relevant to this subject.

This study seeks to evaluate the degree to which classical kinship models are able to capture variation in kinship terminology. Following a description of the classical typologies of kinship, the authors use statistical approaches and a new database, Kinbank, to assess the internal coherence of these typologies; they find that these typologies are not necessarily accurate predictors of kinship terms across cultures. In addition, this analysis showed that the use of one sort of kinship typology for one generation may only weakly indicate its use in an adjacent generation. The authors set out to try and identify new typologies using statistical modeling based on the single-generation kinship terms of 306 languages. They successfully identify 9 clusters of kinship terms for just one generation alone, indicating that kinship terminology is much more diverse than previously thought. They conclude kinship typology and variation in kinship terminology needs to be investigated more thoroughly.

This study explores predictors of variation in two dimensions of marital residence patterns among hunter-gatherers: 1) the tendency toward patrilocality versus matrilocality and 2) the tendency toward unilocality versus bilocality.

Researchers investigated further into why and how humans speak so many languages across the globe, and why they are spread out unevenly. Using two different path analyses, a Stationary Path analysis and a GWPath, researchers tested the effect of eight different factors on language diversity. Out of the eight variables (river density, topographic complexity, ecoregion richness, temperature and precipitation constancy, climate change velocity, population density, and carrying capacity with group size limits), population density, carrying capacity with group size limit, and ecoregion richness had the strongest direct effects. Overall, the study revealed the role of multiple different mechanisms in shaping language richness patterns. The GWPath showed that not only does the most important predictor of language diversity vary over space, but predictors can also vary in the direction of their effects in different regions. They conclude that there is no universal predictor of language richness.

The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

The present research investigates food sharing and labor sharing practices of 98 nonindustrial societies. The aims are to: 1) document the frequency and scope of sharing, and 2) test the theory that greater sharing is adaptive in societies subject to more resource stress (including natural hazards).

This article uses the Standard Cross-Cultural Samples to test the relationship between disease and economic growth among sub-Saharan African societies. The authors suggest that a higher disease prevalence limits social integration and economic development since pre-colonial times. The variable measuring economic growth is the complexity of large or impressive structures. The hypotheses are that 1) pathogen stress is negatively correlated to the presence of complex buildings, and 2) pathogen stress is positively correlated to increased ethnic diversity. The results support both hypotheses, and there are additional results, like 1) the negative correlation between pathogen stress and current income per capita and 2) the negative correlation between the increased ethnic diversity and current income per capita. Overall, this article shows the robust relationship between disease and economic development.

This study relates the type of games present in a society to the level of cultural complexity. Authors use a "game-type combination scale" that categorizes societies as having: 1) games of physical skill only; 2) games of physical skill and games of chance; and 3) games of physical skill, games of chance, and games of strategy. Results show a relationship between the game-type combination scale and indicators of cultural complexity.

This article considers the consequences of modernization. Factor analysis is used to identify four stages of modernization: 1) changes in education, government, and trade; 2) changes in health, technology, and transportation; 3) changes in family, religion, and toilet; and 4) changes in behavior. The authors then consider five trends they expect to be associated with modernization and test whether they develop over the course of the four stages. Results indicate that these 5 trends—increased cultural complexity, female status, pacification, suicide, and social stress—are associated with only the first and fourth stages.