在伤害和暴力预防中推进数据科学的伦理考虑
Nimi Idaikkadar1, Eva Bodin2, Preetam Cholli3
1Division of Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Public health reports (Washington, D.C. : 1974)
|January 21, 2025
概括
公共卫生数据科学家必须在伤害和暴力预防项目中考虑道德问题. 关键领域包括隐私,管理,正义和包容性,以防止负面后果.
科学领域:
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
- 生物伦理学生物伦理学
背景情况:
- 数据科学为公共卫生洞察提供了新的方法和数据源.
- 伤害和暴力预防研究越来越多地利用数据科学.
- 使用新的数据源和方法带来了伦理挑战.
研究的目的:
- 描述数据科学家在公共卫生伤害和暴力预防方面的伦理考虑.
- 防止意外的伦理,法律和社会后果.
- 为数据科学项目的伦理分析提供框架.
主要方法:
- 审查了基础生物伦理和公共卫生伦理学文献.
- 通过讨论将伦理概念组织成广泛的伦理领域.
- 在每个领域内为道德分析制定了指导性问题.
主要成果:
- 确定了四个关键的伦理领域:隐私,负责任的管理,正义作为公平,包容性和参与.
- 确定所有已识别的域具有同等重要性.
- 提供了伦理考虑的例子,例如识别项目目标,评估重新识别风险和最大限度地减少数据偏差.
结论:
- 公共卫生中的数据科学需要仔细的伦理考虑.
- 积极解决道德问题对于预防伤害和暴力至关重要.
- 建议在公共卫生数据科学项目中确定和解决相关的伦理问题.
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