ABSTRACT

While the Big Data revolution is transforming public policy, some debates and competing perspectives on the impact of the disruptive technology of Big Data analytics remain. Although trade-offs among objectives are inevitable in Big Data applications, its ultimate impact would depend on the moderating factors, which vary across contexts such as policy areas and national systems. Integrating the literature from multiple disciplines, this article identifies some of the critical moderating factors accounting for the differentials of Big Data impacts and develops a typology of its applications in public policy as a heuristic to understand and reconcile competing perspectives.

摘要

尽管大数据革命正在改变公共政策，但关于大数据分析这一颠覆性技术的影响仍然存在一些争论和相互竞争的观点。尽管在大数据应用中目标之间的权衡是不可避免的，但其最终影响将取决于调节因素，这些因素因政策领域和国家体系等背景而异。本文整合了多个学科的文献，确定了一些解释大数据影响差异的关键调节因素，并开发了其在公共政策中的应用类型，作为理解和协调相互竞争的观点的启发式方法。