妇女的隐形性 妇女的隐形性
1Theresa Brown, nurse and New York Times best-selling writer, is the author of Healing: When a Nurse Becomes a Patient (Algonquin Books, 2022) and The Shift: One Nurse, Twelve Hours, Four Patients' Lives (Algonquin Books, 2015). She is also a contributor to the New York Times and CNN.com. Contact author: TheresaBrown@hey.com . The author has disclosed no potential conflicts of interest, financial or otherwise.
性别数据差距对研究和开发有重大影响,导致结果偏差和对资源的不平等获取. 解决这种差异对于科学进步和社会公平至关重要.
科学领域:
- 社会学 社会学 社会学
- 数据科学数据科学数据科学
- 性别研究是性别研究.
背景情况:
- 历史数据的收集和分析往往忽视了性别作为一个关键变量.
- 这种监督导致了各种科学学科中普遍存在的性别数据差距.
研究的目的:
- 阐明性别数据差距的多方面的影响.
- 强调性别分类数据在研究和政策中的重要性.
主要方法:
- 对突出数据中性别差异的研究进行文献综述.
- 分析展示性别数据差距影响的案例研究.
主要成果:
- 鉴定了医学研究,人工智能开发和经济建模中的重大偏见,原因是性别数据差距.
- 展示了不完整的数据如何延续性别不平等并阻碍进步.
结论:
- 缩小性别数据差距对于实现准确的科学理解至关重要.
- 优先考虑包括性别在内的数据收集和分析对于公平的社会结果至关重要.
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