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在废水管理政策中追踪规定的知识流:一个人工智能辅助的,以印度尼西亚的见解为基础的政府信息框架
Roald Niels Christiaan Leeuwerik1,2
1Leibniz Centre for Tropical Marine Research (ZMT), Bremen, Germany. roald.leeuwerik@leibniz-zmt.de.
Environmental management
|September 22, 2025
概括
本研究引入了使用人工智能 (AI) 来分析废水管理政策中的知识流的新框架. 它有助于理解利益相关者的角色,并改善社区主导的环境保护倡议.
科学领域:
- 环境政策 环境政策
- 公共卫生管理 公共卫生管理
- 人工智能应用程序 人工智能应用程序
背景情况:
- 政策文件对于理解决策过程至关重要.
- 之前对废水政策的分析缺乏对知识流的系统方法.
- 政府性为研究规定的知识提供了一个理论镜头.
研究的目的:
- 提出研究政策文件中规定的知识流的框架.
- 获取有关利益相关者的角色,治理技术和知识交流的见解.
- 利用人工智能 (AI) 进行高效的政策分析.
主要方法:
- 制定了一个以政府性为指导的框架.
- 创建了一个人工智能驱动的提示符来识别规定的知识流.
- 分析了印度尼西亚的废水管理政策.
主要成果:
- 描绘了一个计划的分散的,社区主导的废水管理方法.
- 确定了诸如模糊的利益相关者角色和不完整的政策实施等挑战.
- 证明了AI在识别知识流程方面的效率,减少了手册阅读时间.
结论:
- 拟议的人工智能辅助框架促进了关键的政策调查和理解.
- 它帮助决策者和非政府利益相关者在复杂的法律文本中进行导航.
- 该方法支持更好地了解社区主导的废水管理举措和利益相关方参与.
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