Knowledge and scientific practice have largely been backdrops to examinations of scale and rescaling processes, including studies of rescaling environmental management. The growing use of new data technologies in environmental management highlights the need to situate knowledge and scientific practice into the politics and production of scale. Reviewing sixty years of debate over spatial management of the highly migratory and Atlantic bluefin tuna, this piece illustrates the central, dynamic roles of knowledge and scientific practice in scalar transboundary management. Findings corroborate prior studies demonstrating that stakeholders mobilize knowledge (and uncertainty) to influence spatialized management. We examine whether such practices are transformed by new data technologies, a nomenclature we adopt as “more” than big data to encapsulate and parse methods of data collection or generation, the data themselves, and the analytical techniques and infrastructures developed to make sense of data for management purposes. We find that as new data technologies reveal objects in space and time, they reformulate and multiply—rather than resolve and circumscribe—scalar management possibilities. They mix with historic scientific and political practices and are never “complete.” Beyond the bluefin case, findings point to the complications of turning to new data technologies—often uncritically celebrated for their potential to give clear, actionable data—to “solve” scalar dilemmas. Instead, they are positioned to become a new way of knowing the world: a new geo-epistemology that shapes experimentation and debate around the spatialized power relations determining control over contested spaces and the valuable resources within and moving through them.

知识和科学实践在很大程度上是规模和重新调整过程检查的背景，包括重新调整环境管理的研究。在环境管理中越来越多地使用新的数据技术凸显了将知识和科学实践纳入政治和规模生产的必要性。这篇文章回顾了 60 年来关于高度洄游和大西洋蓝鳍金枪鱼空间管理的辩论，阐述了知识和科学实践在标量跨境管理中的核心动态作用。调查结果证实了先前的研究，表明利益相关者动员知识（和不确定性）来影响空间化管理。我们检查这些做法是否被新的数据技术所改变，我们采用比大数据“更多”的术语来封装和解析数据收集或生成的方法、数据本身，以及为管理目的而开发的分析技术和基础设施。我们发现，随着新的数据技术揭示空间和时间中的对象，它们会重新表述和增加——而不是解决和限制——标量管理的可能性。它们与历史科学和政治实践相结合，永远不会“完整”。除了蓝鳍金枪鱼案例之外，研究结果还指出了转向新数据技术的复杂性——通常不加批判地赞扬它们有可能提供清晰、可操作的数据——来“解决”标量困境。相反，它们被定位为一种了解世界的新方式：