scholarly journals How cultural evolution can inform the science of science communication—and vice versa

Author(s):  
Theiss Bendixen

AbstractCultural evolution research is the study of how cultural traits (e.g., beliefs and behavioral patterns) stabilize, change and diffuse in populations, and why some cultural traits are more “attractive” (i.e., more likely to spread) than others. As such, cultural evolution is highly relevant for the emerging “science of science communication” (SSC) in that it can help organize and guide the study of science communication efforts aimed at spreading scientifically accurate information and inspiring behavioral change. Here, I synthesize insights and theory from cultural evolution with central findings and concepts within the SSC with the aim of highlighting the inherent, but underexplored, consilience between these two fields. I demonstrate how cultural evolution can serve as an unifying framework for the SSC and how, conversely, science communication can serve as a fertile testing ground for applying, exploring, and advancing cultural evolutionary theory in a real-world setting that matters. Lastly, I highlight merits and limitations of previous applications of cultural evolution to science communication and conclude with some particularly outstanding questions that emerge at the intersection between cultural evolution and science communication research.

Author(s):  
Theiss Bendixen

A correction to this paper has been published: https://doi.org/10.1057/s41599-020-00672-y


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Andrew Buskell ◽  
Magnus Enquist ◽  
Fredrik Jansson

Abstract A widely accepted view in the cultural evolutionary literature is that culture forms a dynamic system of elements (or ‘traits’) linked together by a variety of relationships. Despite this, large families of models within the cultural evolutionary literature tend to represent only a small number of traits, or traits without interrelationships. As such, these models may be unable to capture complex dynamics resulting from multiple interrelated traits. Here we put forward a systems approach to cultural evolutionary research—one that explicitly represents numerous cultural traits and their relationships to one another. Basing our discussion on simple graph-based models, we examine the implications of the systems approach in four domains: (i) the cultural evolution of decision rules (‘filters’) and their influence on the distribution of cultural traits in a population; (ii) the contingency and stochasticity of system trajectories through a structured state space; (iii) how trait interrelationships can modulate rates of cultural change; and (iv) how trait interrelationships can contribute to understandings of inter-group differences in realised traits. We suggest that the preliminary results presented here should inspire greater attention to the role of multiple interrelated traits on cultural evolution, and should motivate attempts to formalise the rich body of analyses and hypotheses within the humanities and social science literatures.


2010 ◽  
Author(s):  
C. C. Swenson ◽  
C. M. Schaeffer ◽  
S. W. Henggeler ◽  
R. Faldowski ◽  
A. M. Mayhew

2013 ◽  
Vol 51 (01) ◽  
Author(s):  
T Witthöft ◽  
R Link ◽  
S Christensen ◽  
HW Busch ◽  
W Gickler ◽  
...  

Author(s):  
Daniel Hochfellner ◽  
Haris Ziko ◽  
Hesham Elsayed ◽  
Monika Cigler ◽  
Lisa Knoll ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1071-P ◽  
Author(s):  
REEMA MODY ◽  
QING HUANG ◽  
MARIA YU ◽  
HIREN PATEL ◽  
RUIZHI ZHAO ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document