“Big Data” in Economic History
探讨经济史中大数据在人口与环境领域的应用，分析更频繁的观测、更密集的样本和更小的地理单元如何提升历史分析的精度，并介绍有机经济数据、高分辨率图像和文本语料库等新数据源。
Big data is an exciting prospect for the field of economic history, which has long depended on the acquisition, keying, and cleaning of scarce numerical information about the past. This article examines two areas in which economic historians are already using big data - population and environment - discussing ways in which increased frequency of observation, denser samples, and smaller geographic units allow us to analyze the past with greater precision and often to track individuals, places, and phenomena across time. We also explore promising new sources of big data: organically created economic data, high resolution images, and textual corpora.