Denmark

**Author(s):** Raymond C; Sánchez-Villagra MR; Rangel-de Lázaro G; Lynch, S; Ward S; Wilson LAB &lt;br&gt;&lt;br&gt;Intro: Intentional cranial modification (ICM), the application of materials to the cranium of infants to permanently alter the head shape, has a long history and is found throughout the world. We collated global records of ICM to trace the origin and dispersal of these practices.&lt;br&gt; 
Methods: We collated published records for Central (n=271), South (n=53), and North America (n=54), the Caribbean (n=113), and Eurasia (n=252), recording geographic location (decimal coordinates), ICM type, biological sex, period, and date. The temporal sequence of ICM practice was assessed using spatiotemporal kernel density estimation in R with spatstat and sparr packages. &lt;br&gt;
Results: Our database comprised 743 records, spanning 40 countries across five regions. We found the highest incidence of ICM throughout the New World and identified clusters of diverse modification types and potential areas of missing data due to sampling bias in the archaeological record.&lt;br&gt;
Discussion: We present a global overview of potential areas and times of diffusion, and cultural convergence. There were probably multiple developments of CM, mirrored also in the different social contexts and modes in which CM has been recorded.

Cultural Evolution Society 2022

The temporal sequence and global spatial distribution of intentional cranial modification practices

archaeology; cultural macroevolution; skull

### Conference Welcome

Welcome to the third Cultural Evolution Society Conference, CES2021. In the conference, which will be held from June 9-11, 2021, about 180 researchers from East Asia, Oceania, Middle East, Europe, North and South America give presentations on their latest research advancing the evolutionary understanding of human and nonhuman animal culture.

### Schedule and Program

[![](https://assets.underline.io/uploads/markdown_image/1/image/1ef06ffd05f80957b4a5b685f63ee3ba.png)](https://www.chain.hokudai.ac.jp/CES2020/wp-content/uploads/2021/06/fullprogram.pdf)
[![](https://assets.underline.io/uploads/markdown_image/1/image/12285eb22580949635121d15d5b46325.png)](https://www.chain.hokudai.ac.jp/CES2020/wp-content/uploads/2021/06/abstracts.pdf)

**Program-at-glance**

![](https://assets.underline.io/uploads/markdown_image/1/image/c0d0d4c8fcdad49d12631574fd966ae8.png)

### About the conference 
 
**Help-desk:** 
Please first visit [Help-desk](https://underline.io/events/120/help-desk) where you can find the instructions and manuals for exploring the conference site. 

**Plenary sessions:**
Five leading researchers give a live talk. It is like a TV show. The audience can submit a question from the chat window. Chat messages are immediately delivered to speakers and moderators.

**Q&A sessions (parallel):**
Each presenter first gives a 2-minute live lightning talk followed by an 8-minute live discussion with the audience. It uses Zoom.

**Discussion sessions:** 
The audience can approach presenters and discuss their research. The sessions are held in a dedicated room in Gathertown.
 
**Gathertown:**
It is a platform dedicated to live virtual interactions.
Gather Town is available for all participants 24 hours during the conference.
You can meet and talk with anybody at a lounge or at a table in Gathertown.
Further Gather Town instruction and how to use short keys please find in our [Help desk page](https://underline.io/events/120/help-desk). 

**Videos and slides:**

* Plenary sessions and the Q&A sessions will be recorded and uploaded after the sessions.
* All the videos and slides are available for 60 days after the conference but only to registered ones. 

**Text-based chatting with the speakers:** 
You can chat with any speaker in the Q&A and discussion sessions. A chat window is available on each speaker’s page, and you can leave your questions there. 

**Announcement to the other participants:**
If you want to make an announcement to the other participants (e.g., “Hey, let’s meet at the lounge in Gathertown from 9pm CEST!), please use twitter (#CESConf2021).



### Code of conduct

See the full details of [the code of conduct](https://www.chain.hokudai.ac.jp/CES2020/code-of-conduct/).
&nbsp; 
 CES is dedicated to providing a welcoming and harassment-free conference experience for everyone, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion, nationality, or the presence of or care for dependents. 
We do not tolerate harassment of conference participants in any form. Conference participants violating these rules may be sanctioned or expelled from the conference at the discretion of the conference organizers.

&nbsp;
**Harassment can occur in-person or virtually, and includes, but is not limited to:**
* Comments (verbal, text, etc.) that reinforce social structures of domination related to gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion, nationality
* Sexual images in public spaces (physical or virtual)
* Deliberate intimidation, stalking, or following
* Harassing photography or recording (including sharing of presentation materials without consent)
* Sustained disruption of talks or other events (including “Zoombombing”)
* Inappropriate physical contact or unwelcome sexual attention
* Advocating for, or encouraging, any of the above behaviour 

&nbsp;
 **Inclusiveness Committee**:
&nbsp;
 To facilitate implementing the code of conduct and foster a climate of inclusion, we have developed an inclusiveness committee. Below is their contact information:
 **Hiromi Matsumae**:	matsumae.hiromi.g@tokai.ac.jp
 **Patrick Savage**:	psavage@sfc.keio.ac.jp
 **Sarah Mathew**:	Sarah.Mathew@asu.edu
 **Gmail:** inclusivenessCES2021@gmail.com
 See [more details about reporting the harassment.](https://www.chain.hokudai.ac.jp/CES2020/code-of-conduct/)

### Organizing committee

**Honorary Conference Organizer:** [Kenichi Aoki (Meiji University)](https://sites.google.com/site/kenichi1aoki/home) 

**Chair:** [Masanori Takezawa (Hokkaido University)](https://lalalarakko.github.io)

**Scientific Committee:** [Kenichi Aoki (Meiji University)](https://sites.google.com/site/kenichi1aoki/home), [Yasuo Ihara (the University of Tokyo)](https://researchmap.jp/read0209180?lang=en), [Hiromi Matsumae (Tokai University)](https://sites.google.com/site/hiromimatsumae/eng), [Naoko Matsumoto (Okayama University)](https://researchmap.jp/nmatsumoto_okayama-u), [Masako Myowa (Kyoto University)](https://myowa.educ.kyoto-u.ac.jp/en), [Hisashi Nakao (Nanzan University)](https://www.hisashinakao.com/), [Patrick E. Savage (Keio University)](https://sites.google.com/view/comp-music-lab/home)

**Local Organizing Committee:** [Yutaka Horita (Teikyo University)](https://sites.google.com/site/yhoritapage/), [Masanori Takezawa (Hokkaido University)](https://lalalarakko.github.io/), [Ayaka Takimoto (Hokkaido University)](https://lynx.let.hokudai.ac.jp/~takimoto/), [Kohei Tamura (Tohoku University)](https://researchmap.jp/7000017854)

**Inclusiveness Committee:** [Sarah Mathew (Arizona State University)](https://www.sarahmathew.net/), [Hiromi Matsumae (Tokai University)](https://sites.google.com/site/hiromimatsumae/eng), [Patrick E. Savage (Keio University)](https://sites.google.com/view/comp-music-lab/home)


![](https://assets.underline.io/uploads/markdown_image/1/image/967110a00d200a6b20d6f4fa6556ba13.png)

For attending the conference, you first need to register and pay fees from [the link here](https://www.chain.hokudai.ac.jp/CES2020/registration/). After the payment of the registration fees, you will receive a ticket, which is necessary for accessing the conference site. After the payment of the registration fees, you will receive a ticket, which is necessary for accessing the conference site

Registration fee

Cultural Evolution Society 2021

**Author(s):** Raymond C; Sánchez-Villagra MR; Rangel-de Lázaro G; Lynch, S; Ward S; Wilson LAB Intro: Intentional cranial modification (ICM), the application of materials to the cranium of infants to permanently alter the head shape, has a long history and is found throughout the world. We collated global records of ICM to trace the origin and dispersal of these practices. 
Methods: We collated published records for Central (n=271), South (n=53), and North America (n=54), the Caribbean (n=113), and Eurasia (n=252), recording geographic location (decimal coordinates), ICM type, biological sex, period, and date. The temporal sequence of ICM practice was assessed using spatiotemporal kernel density estimation in R with spatstat and sparr packages. 
Results: Our database comprised 743 records, spanning 40 countries across five regions. We found the highest incidence of ICM throughout the New World and identified clusters of diverse modification types and potential areas of missing data due to sampling bias in the archaeological record. 
Discussion: We present a global overview of potential areas and times of diffusion, and cultural convergence. There were probably multiple developments of CM, mirrored also in the different social contexts and modes in which CM has been recorded.

technical paper

### Welcome to the fourth Cultural Evolution Society Conference, CES2022! 

As last year, Underline will support the online component of the conference. The ongoing COVID-19 pandemic is causing a great deal of uncertainty for all of us. Therefore, we seek to offer a hybrid format that will hopefully allow some folks to travel to Aarhus, others to meet up locally or regionally in CES hub-lets, and other yet to participate online. The field of cultural evolution is growing in size and scope; its theories, methods and applications - both academic and applied - are getting ever more robust. Do join us in what promises to be an exciting exchange of ideas and a celebration of our field.

##### ***For SoMe interaction and live tweeting please tag @CulturalEvolSoc and use #CESconf2022***


#### The CES 2022 local organising committee
* Luseadra Joy McKerracher
* Jesper Sørensen 
* Niels Nørkjær Johannsen 
* Benjamin Grant Purzycki 
* Mette Løvschal 
* Felix Riede
* Iza Romanowska 
* Karsten Olsen

Please click on the button bellow if you want to watch the videos

The field of cultural evolution is growing in size and scope; its theories, methods and applications - both academic and applied - are getting ever more robust. Do join us in what promises to be an exciting exchange of ideas and a celebration of our field.

**Author(s):** Sobchuk, O; Youngblood, M; Morin, O Why do some artists achieve extreme popularity? A theory of first-mover advantage, developed in economics, may partly explain this. It suggests that companies that enter a new market niche early on become more successful. We hypothesize that the first-mover advantage can explain the popularity of songs. A musical genre is analogous to a niche, and early representatives of a genre may be considered first movers.

We use Spotify data: ~166,000 songs in 10 genres. To account for data biases, we do bootstrapping from a control mixed-genre dataset, built by sampling, for each genre, song corpora that are similar to the target genre: they have the exact same size and yearly distribution of releases but do not belong to any single genre. We have preregistered the prediction that the relationship between success (i.e. playcount) and time for the genre corpora should be more negative than for the samples taken from the mixed-genre corpora.

We find a more negative relationship between time and playcount for 8 genres, which supports the prediction; in the remaining 2 genres the difference is not significant.

Successful artists may owe their popularity to innovativeness in new artistic niches.

First-mover advantage in the evolution of music genres

**Author(s):** Barrett, B; Kandler, A; Aplin, L Cultural evolution is usually framed in terms of transmission biases or behavioral transformation via cognitive biases, although there is a third dimension that is often ignored: learning through reward. This process of internal selection that happens when socially learned behaviors are used by individuals, has been hypothesized to play a critical role in the evolution of adaptiveness of cultural traits, as they are either maintained or abandoned over the course of repeated production. To date, this has remained a verbal argument. To test this argument, we construct an agent based model where acquisition and production are linked, as acquisition is conditioned on association, as well as behavioral frequencies of associates. We show that variation in the learning rules that govern production influence the diffusion of a novel behavior. We further show that these effects can affect the inferential power of two popular models in the field of animal culture: Network Based Diffusion Analysis and Experience Weighted Attraction models. We then allow for dynamic networks of populations, and show how the social process of population turnover interacts with reinforcement learning to drive the cultural evolution of efficiency. Different regimes of population turnover generate optimal, neutral or sub-optimal selection for a more efficient behavior, when compared against static populations. These two studies generate new predictions for how reinforcement learning can influence cultural outcomes, and highlight un-discussed consequences for current practices in the field. The formulation of our model also encourages more rigorous definitions for social learning strategies and biases, as they might target the process of acquisition or production, or both, yet have been discussed interchangeably to date. They also provide theoretical support for the hypothesis that naive learners, introduced through population turnover, play a crucial role in resampling payoff landscapes.

The interaction of learning rules and population turnover can drive cultural evolution

**Author(s):** Micheletti, AJC & Mace, R Introduction: Most major world religions require at least some of their practitioners to commit to lifelong celibacy. A recent evolutionary model has suggested that inducing a son to become a monk can be adaptive if it increases his brothers’ reproductive success and a sociodemographic study has shown that this is the case in a Tibetan Buddhist population. However, female celibates are present in other religions and parts of the world, and it remains unclear what might drive differences in their frequency relative to male celibates. Approach: Here, we develop an evolutionary, inclusive fitness model of the coevolution of male and female lifelong celibacy. Results: We find that the frequency of monks and nuns can be influenced by how parental resources are shared among offspring and how siblings compete for them. More monks than nuns are favoured when competition is more intense between brothers than sisters, that is when resources are more important for male than female reproductive success (bride price societies). The opposite is true when competition is more intense between sisters (dowry societies). We also find a role for the extent to which brothers and sisters compete for the same pool of resources, which is influenced by cultural inheritance rules and whether wealth is mainly immovable (land) or movable (money, cattle). Moreover, the sex that disperses less is favoured to have more celibates. Discussion: These results can help us explain observed differences in the frequency of monks and nuns in societies with different marriage systems, inheritance rules and post-marital residence rules.

Sibling competition and dispersal drive sex differences in religious celibacy

**Author(s):** Hrnčíř, V; Chira, A Introduction: Alcohol is the most widely used human psychoactive and mind-altering drug. This is partly because its production is very straightforward: any substance that contains sugar can be converted into alcoholic beverage through the natural process of fermentation. Yet, many societies around the world did not know alcohol or forbade its consumption. Our goal is to discover which cultural and ecological factors can explain why some societies produce alcoholic drinks, while others do not.
 Materials & Methods: We coded data for native alcoholic beverages in 186 non-industrial societies (Standard Cross-Cultural Sample). We tested the effect of potentially predictive variables (obtained from D-PLACE) on alcohol production in Bayesian logistic regressions, while accounting for spatial proximity and common ancestry. 
 Results & Discussion: Our results confirm the intuitive assumption that the presence of Islamic religion and the absence of fruit trees and cereals cultivation predict the absence of alcohol. Importantly, we also confirm the strong correlation between the presence of alcoholic beverages and cultural complexity, which has been pointed out before but has not yet been empirically tested. The next step will be to uncover the evolutionary dynamics of this relationship.

Why don't they get drunk? Alcoholic beverages in non-industrial societies

**Author(s):** Tamariz, M.; Papa, A.; Cristea, M.; McGuigan, N. Introduction During our lifetime we typically learn several variants of a given cultural trait, e.g., from family, peers and experts. Social biases affecting which variants are adopted by learners are well-studied. Considerably less is known about influences on the selection of variants for onward transmission by transmitters. This study tests whether a social context congruence effect is in place, i.e., do we tend to transmit to friends behaviours that we learned from friends, to our children behaviours learned from our parents, and to novices behaviours learned from experts? Methods Each of 64 participants learned two cultural variants (methods to solve a puzzle): “E” from an Expert and “P” from a Peer. Then, we

Associative learning and cultural transmission: We teach to novices the variants we learned from experts, and to peers the variants we learned from other peers!

INTRODUCTION: Phylogenetic methods are used for the reconstruction of historical relationships between cultural lineages. These methods, designed for biological evolution, assume traits can only be transferred via inheritance. Little work has been done to determine how the introduction of horizontal transmission, potentially ubiquitous in cultural evolution, affects their accuracy. OBJECTIVE: In this study we tested the robustness of phylogenetic methods when applied to a demographic process with horizontal transmission of traits between groups. APPROACH: We generated synthetic population histories represented as phylogenetic trees. We then simulated variant data on the trees, sampled the terminal nodes and used standard phylogenetic reconstruction methods to construct best fitting trees from the leaf data. We assessed the accuracy of the phylogenetic reconstruction as the distance between the best fitting tree and the ‘true’ tree representation of the demographic history. FINDINGS: Phylogenetic methods are reliable only when the borrowing is constrained to groups with a recent common ancestor. In addition, borrowing can be constrained by either shared ancestry or spatial proximity, leading to significantly divergent inferred trees. CONCLUSION: Preliminary results suggest that the introduction of demographic complexity, including extinction of groups and horizontal transmission events, significantly decreases the accuracy of phylogenetic inference.

Can cultural phylogenies accurately capture spatially explicit demographic scenarios?

**Author(s):** Kasser, S. M.; Blanco-Portillo, J.; Fortunato, L.; Laland, K. N. Objective: Gene-culture coevolution (GCC) theory routinely predicts interactions between cultural and genetic variation that should emerge through empirical analyses, yet evidence for such associations remains sparse. By adapting tools that quantify ecological drivers of population genetic structure ("landscape genomics"), we explore potential cultural drivers of human genetic variation across Oceania to evaluate the extent of GCC.

Methods: We will introduce landscape genomics as a method of quantifying gene-culture coevolution. In a short test case, we use high-density SNP data from Oceanian individuals across 17 island populations from the OGVP (a collaboration between Oxford and Stanford). We then analyse these frequencies using GESTE, a Bayesian procedure to estimate the influence of environmental factors on population genetic structure. For the present analysis, cultural and ecological factors relating to subsistence, kinship practices and island ecology are drawn from relevant cross-cultural datasets.

Results: We will present results on associations between cultural factors and genetic structure.

Discussion: We will discuss the results in the context of recent work on how culture may shape genetic variation beyond classic examples of GCC, and whether landscape genomics represents a useful analogy for quantifying GCC.

Unravelling gene-culture coevolution in the Pacific

 As one of the two moderators, I will predominantly lead the theoretical discussion of what are social norms and how could they be identified in animals. I come from the perspective that rather than focusing on some cognitive mechanism that is taken to be necessary for having normativity, investigations into social norms should focus on community level patterns that are supported by social maintenance—positive and negative reinforcement by community members.

Theoretical angles on framing and identifying norms in nonhuman taxa

**Author(s):** Gunst, A; Nylund, E; Marklund A Introduction: Advantageous inequity aversion (i.e., the tendency to respond negatively to unfairness that benefits oneself) usually develops in 6–8-year-olds. However, little is known about the biological and cultural selection of this phenomenon. Materials and Methods: Using data collected from 120 4–8-year-old Finnish children, we tested two evolutionary explanations for the development of advantageous inequity aversion: reciprocal altruism (i.e., benefiting from sharing when the roles are likely reversed in the future) and inclusive fitness (i.e., benefiting from sharing with biological relatives that carry the same alleles). We asked children to distribute five erasers between themselves, a sibling, a friend, and a stranger. That is, an equal distribution was only possible if throwing away one eraser. Results: We found no support for advantageous inequity aversion being shaped by either inclusive fitness or reciprocal altruism. Participants did not show a preference for biological relatives or friends. Rather their behavior reflected a more general tendency for fairness. Discussion: It is possible that adherence to social norms to avoid negative consequences as explains the development of advantageous inequity aversion.

Norms of Fairness: Inclusive Fitness or Reciprocal Altruism Does not Explain Advantageous Inequity Aversion

**Author(s):** Lee, H; Schönwiesner, M; Jacoby, N; Park, M

Background: Music is a rich cultural product that is practiced across all known cultures and throughout history, making it an attractive medium to study the transmission and evolution of culture. However, previous research on empirical analysis of music predominantly relied on Western songs, limiting our understanding to WEIRD countries. 
 Method: We introduce a novel dataset called GlobalPOP, which gathers music records from 55 countries since the 1950s by crawling web pages and manually transcribing from books and magazines. The dataset contains over 4 million entries and 254,234 songs with acoustic information, lyrics, and other meta-data gathered from various sources. 
 Results: Using this rich dataset, we provide a quantitative picture on how the general preference of music has converged and diverged across the globe over the last seven decades. Our preliminary findings indicate that most acoustic features reveal a country-specific or regional trend (e.g., danceability, tempo, energy) that can be grouped by the spoken-language and geographical proximity, whereas only a handful of low-level features can be considered as a global trend (e.g., song duration, loudness). 
 Conclusion: We present the first empirical work on the evolution of cross-cultural music preferences by making use of the most comprehensive longitudinal music chart data which will become open-access.

Premium content

The temporal sequence and global spatial distribution of intentional cranial modification practices

Downloads

Next from Cultural Evolution Society 2022

First-mover advantage in the evolution of music genres

Similar lecture

Origin of human ritual behavior

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES