新数据填补了警务研究中的长期缺口
1Operations, Information and Decisions Department, Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
概括
数据显示存在严重的歧视,但需要进一步分析,以提供有效的政策干预和解决系统性不平等问题.
科学领域:
- 社会科学
- 公共政策
- 医疗公平
背景情况:
- 在各种社会领域,歧视是公平结果的重要障碍.
- 了解歧视的细微差别对于制定有针对性的干预措施至关重要.
研究的目的:
- 分析显示存在歧视的数据.
- 突出需要与政策相关的分析来指导可行的战略.
主要方法:
- 审查现有显示歧视模式的数据集.
- 对政策影响的定性评估.
主要成果:
- 经验证据证实存在广泛的歧视.
- 目前的分析没有足够的政策意义,
结论:
- 调查结果强调迫切需要以政策为导向的歧视研究.
- 将数据转化为可操作的政策建议对于实现公平至关重要.
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