By testing relationships between musical, geographic, genetic, and linguistic distance among nine indigenous groups in Taiwan, the researchers aim to quantitatively evaluate a developing theory of coevolution between these traits. An especially strong correlation between musical variability and genetic distance suggests that music may possess worldwide time depth, diversity, and universality equal to or greater than that of language, and could thus serve as a complementary marker for reconstruction of long-term population shifts.

By analyzing patterns of between- and within-population musical variability among 16 Austronesian-speaking aboriginal groups, the researchers hope to evaluate degree of similarity to structures of human genetic diversity. As in the genetic domain, within-population variance is found to be much higher than between-population variance, leading the researchers to suggest that patterns of musical distance and divergence may serve as an indicator of cultural evolution.

This article explores the possible relationship between the cultural evolution of language, music, and genetic variation beyond the level of language families. Due to their linguistic diversity, the authors use a sample of 14 Northeast Asian societies with matching information on their music, genetics, and linguistic patterns. The variables measuring language are lexicon, phonology, and grammar. Then, the authors compare each variable's relationship to music and genetic variation. The results only show a significant correlation between grammar and genetic variation.

The authors examine musical diversity in India using cantometric data from 32 Indian societies with the goal of better understanding how music varies between and within cultures. They find very minor musical differences between language families, greater diversity between societies but within language families, and the most variation within societies.

The authors develop CantoCore, an expansion of Lomax's Cantometrics scheme, in order to code for additional candidate musical universals. No musical feature occurs with absolute universality, but several features occur with statistically significant frequency after controlling for historical relatedness, and an additional set of features were found to be universally related to each other. The authors highlight the role of these features in human coordination and cohesion, as well as their their utility to the fields of musical cognition and evolution.

In asking whether or not there are meaningful universals in music, researchers compiled two catalogs – the Natural History of Song (NHS) Ethnography which contains ethnographic descriptions of song performances collected from eHRAF World Cultures, and the NHS Discography, which contains field recordings of performances of dance, healing, love, and lullaby. Using these two corpora, the study tests a variety of hypotheses about the universality and variability of both music behavior and music form. Specifically, whether there are meaningful universals in meaning and sound. The catalog of published sound recordings was analyzed by machine summaries, listener ratings, and manual transcriptions, which revealed that there were identifiable features of songs which could then predict their primary function cross-culturally. The results as a whole revealed that the existence of music is a cultural universal, and that the variation within music can be characterized by three factors assessing the formality, arousal, and religiosity of the song events. They also found that musical behavior varies more within societies than between them.

A large-scale comparative study of folk songs around the world employing systematic measures (cantometrics). The aim was not just to describe variation but to test hypotheses about the relationships between song style and societal structures. Dance was also considered.

While not mechanically related, the transmission of genes and the transmission of languages are both mediated by culture. For example, in societies where marriage outside the language group is common, matrilocal residence practices may result in the preferential conservation of the mother’s language(s), as well as the development of distinct mtDNA haplogroups throughout a region. In this study, the authors use single nucleotide polymorphism (SNP) data from 130 culturally distinct populations to assess the correlation between genetic distance and linguistic distance, while controlling for various cultural and geographic factors (in other words: when populations are more genetically dissimilar, do they also tend to be further apart linguistically?). Results suggest that while the often-referenced idea of sex-based transmission of language is not universally predictable, linguistic distance almost always tends to correlate positively to both spatial and mitochondrial genetic variation.

Lullabies are often touted as universal to all human cultures, regardless of time and place. In order to test this axiom, this article examines all 186 societies in the Standard Cross-Cultural Sample, and codes them for the presence or absence of lullabies. The result ultimately hinges on the meaning of the word “lullaby”: when lullabies were defined as a strict and culturally conserved repertoire of songs sung to soothe infants, they were found to be neither a statistical nor even a “near” universal. However, when lullabies were defined as any type of singing used to soothe children, they were a near universal, with 96.8% of societies in the sample coded as having lullabies.

Genetic, linguistic, and geographic data can be used to explain the distribution of cultural units ("semes") and to understand the evolutionary mechanisms of culture. Three broad models of cultural transmission attempt to explain why cultures share semes: (1) Cultural diffusion, emphasizing horizontal transmission. (2) Local adaptation, where trail-and-error learning leads to the independent adoption of semes by different peoples living in similar environments. (3) Demic diffusion, which emphasizes vertical and frequency-dependent transmission. Authors test the explanatory power of each model using cultural, genetic, linguistic and geographic data from 36 African cultures.