社会大脑的行为公共政策

IF 5.1 Q1 PSYCHOLOGY, APPLIED
Sanchayan Banerjee, Siddhartha Mitra
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引用次数: 3

摘要

行为公共政策对扩大实验见解以实现系统性变革越来越感兴趣。最近的证据表明,某些形式的个人行为改变,如轻推,在规模上是有限的。我们认为,通过考虑人类对行为公共政策的反应所处的微妙社会复杂性,我们可以扩大个人行为改变的规模。我们引入了“社会大脑”的概念,作为一种结构来帮助从业者和政策制定者促进福利改善行为的更大的社会传播。社会大脑是个体人类大脑的集合,这些个体通过“社会线索”与其他人类大脑联系在一起,并受到他们所处的物理环境的物质和非物质属性(“社会情结”)的影响。忽视这些线索和社会复杂性有可能通过个体行为者促进局部行为变化,这种变化既不可扩展也不可持久。我们确定了促进社会大脑变化的途径:要么通过路径依赖,要么通过个体行为的临界质量转变,由大脑的社会凝聚力属性和情境和性格因素的多样性调节。通过这种方式,在社会大脑的一部分受到刺激的行为变化可以到达其他部分并动态进化。我们建议设计公共政策,让社会大脑的不同部分参与进来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Behavioural public policies for the social brain
Abstract Behavioural public policy is increasingly interested in scaling-up experimental insights to deliver systemic changes. Recent evidence shows some forms of individual behaviour change, such as nudging, are limited in scale. We argue that we can scale-up individual behaviour change by accounting for nuanced social complexities in which human responses to behavioural public policies are situated. We introduce the idea of the ‘social brain’, as a construct to help practitioners and policymakers facilitate a greater social transmission of welfare-improving behaviours. The social brain is a collection of individual human brains, who are connected to other human brains through ‘social cues’, and who are affected by the material and immaterial properties of the physical environment in which they are situated (‘social complex’). Ignoring these cues and the social complex runs the risk of fostering localised behavioural changes, through individual actors, which are neither scalable nor lasting. We identify pathways to facilitate changes in the social brain: either through path dependencies or critical mass shifts in individual behaviours, moderated by the brain's property of social cohesion and multiplicity of situational and dispositional factors. In this way, behavioural changes stimulated in one part of the social brain can reach other parts and evolve dynamically. We recommend designing public policies that engage different parts of the social brain.
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来源期刊
CiteScore
7.90
自引率
2.00%
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