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Showing 1–9 of 9 results
Advanced filters: Author: Paul E. Smaldino Clear advanced filters
  • Smaldino et al. develop a formal model to explain cross-cultural differences in personality structure. Complex societies with more diverse niches show less covariation among behavioural traits, resulting in greater variability in personality types.

    • Paul E. Smaldino
    • Aaron Lukaszewski
    • Michael Gurven
    Research
    Nature Human Behaviour
    Volume: 3, P: 1276-1283
  • McDiarmid and colleagues show that psychologists update their beliefs about effect sizes after learning about new evidence from replication studies, although not as much as predicted by a rational Bayesian model.

    • Alex D. McDiarmid
    • Alexa M. Tullett
    • Jeremy E. Stephens
    Research
    Nature Human Behaviour
    Volume: 5, P: 1663-1673
  • Communities want to determine their own climate change adaptation strategies, and scientists and decision-makers should listen to them — both the equity and efficacy of climate change adaptation depend on it. We outline key lessons researchers and development actors can take to support communities and learn from them.

    • Anne C. Pisor
    • Xavier Basurto
    • James Holland Jones
    Comments & Opinion
    Nature Climate Change
    Volume: 12, P: 213-215
  • A sequence of technological inventions over several centuries has dramatically lowered the cost of producing and distributing information. Because societies ride on a substrate of information, these changes have profoundly impacted how we live, work, and interact. This paper explores the nature of information architectures (IAs)—the features that govern how information flows within human populations. IAs include physical and digital infrastructures, norms and institutions, and algorithmic technologies for filtering, producing, and disseminating information. IAs can reinforce societal biases and lead to prosocial outcomes as well as social ills. IAs have culturally evolved rapidly with human usage, creating new affordances and new problems for the dynamics of social interaction. We explore societal outcomes instigated by shifts in IAs and call for an enhanced understanding of the social implications of increasing IA complexity, the nature of competition among IAs, and the creation of mechanisms for the beneficial use of IAs.

    • Paul E. Smaldino
    • Adam Russell
    • Dan Patt
    Comments & OpinionOpen Access
    npj Complexity
    Volume: 2, P: 1-11