数据驱动的公众科学实践:基于社会公平视角的考察

Data-Driven Citizen Science Practice:an Examination From the Perspective of Social Equity

公众科学作为一种数据驱动的开放科学实践正在蓬勃发展,但现有文献对公众科学所折射出的社会公平问题关注较少,这不利于包容性开放科学运动的推进。为了弥合这一差距,文章基于社会公平和数据价值链构建分析框架,对涉及医疗健康、环境保护、社会治理等议题的公众科学项目进行案例研究。案例分析结果表明,公众科学在分配、程序、过程和结果公平方面存在诸多挑战,这需要系统弥合数据从收集、存储、分析到使用全链条上的公平缺口,以确保形成更加公平的数据驱动的公众科学,促使科学更好地服务社会大众。

Citizen science is a data-driven open science practice that is thriving,but existing literature pays less attention to the social equity issues reflected by citizen science,which is not conducive to the promotion of the inclusive open science movement.In order to bridge this gap,this article constructs an analytical framework based on social equity and data value chain,and conducts case studies on citizen science projects related to issues such as healthcare,environmental protection,and urban governance.Research has found that citizen science faces many challenges in terms of fairness in distribution,procedures,processes,and outcomes,this requires a system to bridge the equity gap in the entire chain of data collection,storage,analysis,and use,in order to ensure the promotion of more fair data-driven citizen science and better serve the public.