德国,奥地利和瑞士的伦理计算社会科学的以实践者为中心的政策路线图
1Department of Political Science, University of Vienna, Vienna, Austria.
Accountability in research
|November 5, 2024
概括
计算社会科学 (CSS) 研究面临着关于数据隐私和同意的伦理挑战. 这项研究建议专门的伦理委员会和定制的指导方针来支持这个新兴领域的负责任实践.
科学领域:
- 计算社会科学 计算社会科学
- 数字伦理 数字伦理
- 研究伦理学研究伦理学
背景情况:
- 计算社会科学 (CSS) 使用大型数字数据集,引发了伦理方面的担忧.
- 关键问题包括数据隐私,知情同意和潜在的数据滥用.
- 现有的伦理框架可能无法充分解决CSS的复杂性.
研究的目的:
- 调查计算社会科学从业者面临的伦理挑战.
- 了解CSS当前伦理框架的实际现实和局限性.
- 制定可行的建议,以促进负责任的CSS研究.
主要方法:
- 使用了一个构造主义的基于理论的方法.
- 与德国,奥地利和瑞士的CSS从业者进行了15次深入采访.
- 该研究分析了数据隐私在相似的欧洲法律背景下的经验.
主要成果:
- CSS研究人员遇到与数据提供商的权力不平衡,以及关于监控和数据隐私的不确定性.
- 实践者感到缺乏CSS专业知识的伦理委员会剥夺了他们的权力,并面临监管模糊性.
- 既定的伦理原则和CSS研究的实际要求之间存在着紧张关系.
结论:
- 建议建立具有CSS专业知识的专业伦理委员会.
- 制定量身定制的数据准则和提供法律确定性对于负责任的CSS至关重要.
- 在研究政策中承认CSS的独特性质对于实现道德实践至关重要.
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