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1. Coupled dynamics of behaviour and disease contagion among antagonistic groups

   https://doi.org/10.1017/ehs.2021.22  

   Smaldino, Paul E.; Jones, James Holland (January 2021, Evolutionary Human Sciences)

   null (Ed.)

   Abstract Disease transmission and behaviour change are both fundamentally social phenomena. Behaviour change can have profound consequences for disease transmission, and epidemic conditions can favour the more rapid adoption of behavioural innovations. We analyse a simple model of coupled behaviour change and infection in a structured population characterised by homophily and outgroup aversion. Outgroup aversion slows the rate of adoption and can lead to lower rates of adoption in the later-adopting group or even behavioural divergence between groups when outgroup aversion exceeds positive ingroup influence. When disease dynamics are coupled to the behaviour-adoption model, a wide variety of outcomes are possible. Homophily can either increase or decrease the final size of the epidemic depending on its relative strength in the two groups and on R 0 for the infection. For example, if the first group is homophilous and the second is not, the second group will have a larger epidemic. Homophily and outgroup aversion can also produce dynamics suggestive of a ‘second wave’ in the first group that follows the peak of the epidemic in the second group. Our simple model reveals dynamics that are suggestive of the processes currently observed under pandemic conditions in culturally and/or politically polarised populations such as the USA. 

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2. Some Forms of Uncertainty May Suppress the Evolution of Social Learning

   Turner, M.A.; Moya, C.; Smaldino, P.E.; Jones, J.H. (July 2022, Proceedings of the 44th Annual Conference of the Cognitive Science Society)

   Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V. (Ed.)

   Successful climate change adaptation depends on the spread and maintenance of adaptive behav- iors. Current theory suggests that the heterogeneity of metapopulation structure can help adaptations diffuse throughout a population. In this paper, we develop an agent-based model of the spread of adaptations in populations with minority-majority metapopulation structure, where subpopulations learn more or less frequently from their own group compared to the other group. In our simulations, minority-majority-structured populations with moderate degrees of in-group preference better spread and maintained an adaptation compared to populations with more equal-sized groups and weak homophily. Minority groups act as incubators for an adaptation, while majority groups act as reservoirs for an adaptation once it has spread widely. This means that adaptations diffuse throughout popula- tions better when minority groups start out knowing an adaptation, as Indigenous populations often do, while cohesion among majority groups further promotes adaptation diffusion. Our work advances the goal of this theme issue by developing new theoretical insights and demonstrating the utility of cultural evolutionary theory and methods as important tools in the nascent science of culture that climate change adaptation needs. 

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3. Quantifying the Selective, Stochastic, and Complementary Drivers of Institutional Evolution in Online Communities

   https://doi.org/10.3390/e24091185  

   Zhong, Qiankun; Frey, Seth; Hilbert, Martin (September 2022, Entropy)

   Institutions and cultures usually evolve in response to environmental incentives. However, sometimes institutional change occurs due to stochastic drivers beyond current fitness, including drift, path dependency, blind imitation, and complementary cooperation in fluctuating environments. Disentangling the selective and stochastic components of social system change enables us to identify the key features of long-term organizational development. Evolutionary approaches provide organizational science with abundant theories to demonstrate organizational evolution by tracking beneficial or harmful features. In this study, focusing on 20,000 Minecraft communities, we measure these drivers empirically using two of the most widely applied evolutionary models: the Price equation and the bet-hedging model. As a result, we find strong selection pressure on administrative and information rules, suggesting that their positive correlation with community fitness is the main reason for their frequency change. We also find that stochastic drivers decrease the average frequency of administrative rules. The result makes sense when viewed in the context of evolutionary bet-hedging. We show through the bet-hedging result that institutional diversity contributes to the growth and stability of rules related to information, communication, and economic behaviors. 

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4. Reversing the Lens on Public Engagement with Science: Positive Benefits for Participating Scientists

   https://doi.org/10.1093/biosci/biac003  

   Nadkarni, Nalini M.; Horns, Joshua; Chen, Jacqueline M.; Morris, Jeremy S.; Bush, Kelli; Scalice, Daniella; Trivett, Joslyn R.; Anholt, Allison (February 2022, BioScience)

   Abstract Scientists increasingly seek to respond to urgent calls for equity in science but may be unsure how to engage with underserved public groups. Prisons, jails, and detention centers are venues in which scientists may use their educational privilege to serve and empower diverse populations that are underserved by science education and underrepresented in science disciplines. We reversed the lens that traditionally focuses on the benefits of public engagement to the audience by documenting the impacts of delivering science lectures on the scientists who offered seminars to incarcerated people. The scientists who engaged in carceral settings gained professional benefits, shifted their preconceptions of incarcerated people, raised their perceived value of community engagement, and increased their interest in social justice. Some took direct actions for social change. This program could model effective engagement for other underserved groups in our society. We provide guidance to initiate such a program in other institutions. 

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5. Social divisions and risk perception drive divergent epidemics and large later waves

   https://doi.org/10.1017/ehs.2023.2  

   Harris, Mallory J.; Cardenas, Kimberly J.; Mordecai, Erin A. (January 2023, Evolutionary Human Sciences)

   Abstract During infectious disease outbreaks, individuals may adopt protective measures like vaccination and physical distancing in response to awareness of disease burden. Prior work showed how feedbacks between epidemic intensity and awareness-based behaviour shape disease dynamics. These models often overlook social divisions, where population subgroups may be disproportionately impacted by a disease and more responsive to the effects of disease within their group. We develop a compartmental model of disease transmission and awareness-based protective behaviour in a population split into two groups to explore the impacts of awareness separation (relatively greater in- vs. out-group awareness of epidemic severity) and mixing separation (relatively greater in- vs. out-group contact rates). Using simulations, we show that groups that are more separated in awareness have smaller differences in mortality. Fatigue (i.e. abandonment of protective measures over time) can drive additional infection waves that can even exceed the size of the initial wave, particularly if uniform awareness drives early protection in one group, leaving that group largely susceptible to future infection. Counterintuitively, vaccine or infection-acquired immunity that is more protective against transmission and mortality may indirectly lead to more infections by reducing perceived risk of infection and therefore vaccine uptake. Awareness-based protective behaviour, including awareness separation, can fundamentally alter disease dynamics. Social media summary: Depending on group division, behaviour based on perceived risk can change epidemic dynamics & produce large later waves. 

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