在印尼灾后恢复援助中量化社会资本创造:基于人工智能的语言模型的方法创新
Daniel Moritz Marutschke1, Muhammad Riza Nurdin2, Miwa Hirono3
1Faculty of Economics and Business Administration, Kyoto University of Advanced Science, Japan.
Disasters
|June 11, 2024
概括
本研究介绍了一种基于人工智能的语言模型,以加强灾难恢复研究. 它验证了定性发现,并加强了社会资本分析,以获得有效的社区援助.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 灾害管理 灾害管理
背景情况:
- 有效的灾后恢复援助依赖于强大的社区社会资本.
- 在灾难环境中对社会资本的定性研究往往受研究人员的直觉限制.
研究的目的:
- 引入基于人工智能 (AI) 的创新语言模型,用于分析受灾害影响的社区.
- 在社会资本研究中验证和增强传统的定性研究方法.
- 探索社区互动,社会资本和援助效率之间的关系.
主要方法:
- 利用基于人工智能 (AI) 的定量语言模型重新检查定性数据.
- 采用混合方法研究,将人工智能与传统的定性方法相结合.
- 分析基于文本的数据,以确定社区互动和社会资本的模式.
主要成果:
- 基于人工智能的语言模型可以验证和扩展定性研究结果.
- 有良好的联系的人员和基于宗教的社区活动显著增强了社会资本.
- 由人工智能驱动的混合方法加强了灾难恢复中社会资本的分析.
结论:
- 人工智能驱动的语言模型为严格的社会科学研究提供了强大的工具.
- 将人工智能与定性方法相结合,可以更深入地了解社区动态和援助效率.
- 通过社区联系和外部联系加强社会资本对于成功的灾难恢复至关重要.
关键词:
人工智能 (AI) 是一种人工智能.灾难恢复 灾难恢复应对灾难的应对措施语言模型语言模型当地社区 当地社区机器学习是机器学习.混合方法混合方法.自然语言处理自然语言处理.社会资本 社会资本词嵌入 词嵌入 词嵌入更多相关视频
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