在新兴政策子系统中制定议程:各个场所的议题和工具优先级
Nicole Lemke1, Philipp Trein2, Frédéric Varone3
1University of Lausanne, Bâtiment Géopolis, 1015 Lausanne, Switzerland.
概括
这项研究表明,新兴的政策子系统,如德国的人工智能 (AI) 政策,随着时间的推移发展出共同的议程. 在不同场馆的早期讨论中,在关键问题和政策工具上发现了趋同.
科学领域:
- 政治科学 政治科学是指政治学.
- 公共政策分析 公共政策分析
- 科学和技术政策政策 科学和技术政策
背景情况:
- 政策子系统的概念对于理解政策生产至关重要.
- 关于新兴政策子系统的政策制定过程的知识有限.
- 区分新生和成熟的政策子系统需要进一步调查.
研究的目的:
- 分析新兴政策子系统的特征.
- 调查政策议程在不同机构场所和随着时间的推移而趋同.
- 将议程制定和场地购物理论应用于新兴政策领域.
主要方法:
- 利用来自德国人工智能 (AI) 政策辩论的文本数据 (2017年11月至2019年11月).
- 分析了印刷媒体,议会辩论和政府商.
- 采用纵向分析来追踪跨场馆的议程趋同.
主要成果:
- 参与者在各种场合讨论了与人工智能相关的有点不同的政策问题和工具.
- 纵向分析表明,在不同的场所,人工智能政策辩论的趋同.
- 有证据表明,人工智能的子系统特定政策议程的形成.
结论:
- 议程趋同是新兴政策子系统的一个特征.
- 早期的政策子系统显示出开发共享讨论点和政策工具的趋势.
- 该研究提供了对人工智能等新兴政策领域的动态的见解.
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