党政研究Issue(5)：40-51,12.
大数据驱动的决策制定:乐观抑或悲观?
Big Data-Driven Decision-Making:Optimism or Pessimism?
摘要
Abstract
The application of big data technology is driving the iterative evolution of public decision-making models,reshaping power dynamics and resource allocation across decision-making,execution,supervision,and feedback processes.In academic discussions,two main perspectives emerge:optimism and pessimism.Op-timists highlight the advantages and promising prospects of big data-driven decision-making,while pessimists argue that,in practice,big data may not lead to more accurate,scientific,or democratic decisions.Instead,due to complexities in data sources and formats,discrepancies in data exchange standards,political power strug-gles,and the risk of privacy infringement,big data could exacerbate policy failures.Upon further analysis,this divide stems from differing views on the significance of technology versus politics,power versus authority,and instrumental rationality versus value rationality.Looking ahead,a cautiously optimistic approach can be fostered by creating an embedded and adaptive relationship between digital technologies,political processes,and institu-tional frameworks,thereby ensuring that big data plays a constructive role in government decision-making and social governance.关键词
大数据/数据政治/决策过程/决策制定/循证决策Key words
big data/data politics/decision making process/decision making/evidence-based policy mak-ing分类
社会科学引用本文复制引用
李强彬,刘思雨..大数据驱动的决策制定:乐观抑或悲观?[J].党政研究,2024,(5):40-51,12.基金项目
国家社科基金重点项目"民主协商推进基层群众有效自治的长效机制与实现路径研究"(21AZZ005) （21AZZ005）
