交叉流动对话模式:2019-2023年
1Roger H. Bernier is an epidemiologist in Aiken, SC.
American journal of public health
|July 27, 2023
概括
公共政策受益于公民咨询. 跨流对话模型 (CDM) 表明,在政治上多元化的美国人可以弥合分歧,并同意政策建议,促进更有效的治理.
科学领域:
- 公共卫生 公共卫生
- 政治科学 政治科学是指政治学.
- 沟通研究 沟通研究
背景情况:
- 公共政策的制定往往缺乏公民商,导致政策效果和支持较差.
- 政治两极分化可能会阻碍建设性对话和在不同的人口之间建立共识.
研究的目的:
- 评估跨流对话模型 (CDM) 在促进有成效的政策对话方面的有效性.
- 为了确定不同政治观点的美国人是否可以在政策问题上达成协议.
主要方法:
- 为了促进讨论,采用了跨流对话模型 (CDM).
- 具有不同政治观点的参与者参与了关于10个不同的政策主题的对话.
主要成果:
- 参与者成功地就所有10个政策主题达成协议.
- 民主民主机制证明了它有能力有效地弥合政治分歧.
结论:
- 交叉对话模式 (CDM) 提供了一个可行的框架,用于在政策建议上达成共识.
- 弥合政治上多元化的美国人之间的差距是可以实现的,导致更健全和可支持的政策.
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