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Making a Footprint in Environmental Sustainability: A Behavioral Systems Approach to Engaging the Behavioral Community.
Perspectives on Behavior Science ( IF 3.226 ) Pub Date : 2019-11-27 , DOI: 10.1007/s40614-019-00233-y
Holly A Seniuk 1, 2 , Traci M Cihon 3 , Molly Benson 1 , Molli M Luke 2
Affiliation  

Climate change is arguably the most pressing issue facing humanity today. There is significant research to support the argument that climate change is a human-created problem and it can only be addressed by changing human behavior. Despite the magnitude of the issue and the potential for behavior science to make a significant contribution, there are few behavior analysts/scientists currently working in climate change. One possible explanation is that there is limited access to preparation for and opportunities to apply our science to large-scale issues. In response, the Behaviorists for Social Responsibility Special Interest Group of the Association for Behavior Analysis International developed the Matrix Project as a way to apply Behavioral Systems Analysis to issues of social importance. By understanding the contingencies that hinder or promote working in a particular area we can begin to create the conditions that will facilitate such work. The purpose of this article is twofold: 1) to demonstrate how the Matrix Project may be used to increase the likelihood that behavior analysts/scientists will work in areas of social importance using environmental sustainability as an example, and 2) encourage behavior analysts/scientists to target and understand complex systems by providing examples of actionable steps that could be generalized to other important social issues.

中文翻译:

在环境可持续性上占一席之地:行为社区参与的行为系统方法。

气候变化可以说是当今人类面临的最紧迫的问题。有大量研究支持这一论点,即气候变化是人为造成的问题,只能通过改变人类行为来解决。尽管问题的严重性和行为科学可能做出重大贡献,但目前在气候变化领域工作的行为分析师/科学家很少。一种可能的解释是,将我们的科学应用于大规模问题的准备和机会有限。作为回应,国际行为分析协会的社会责任行为学家特别兴趣小组制定了矩阵计划,作为将行为系统分析应用于具有社会重要性的问题的一种方法。通过了解阻碍或促进特定领域工作的突发事件,我们可以开始创造条件来促进此类工作。本文的目的是双重的:1)以环境可持续性为例,演示如何使用矩阵计划来增加行为分析师/科学家在社会重要领域工作的可能性,以及2)鼓励行为分析师/科学家通过提供可推广到其他重要社会问题的可操作步骤的示例,来定位和理解复杂的系统。
更新日期:2019-11-27
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