The paper addresses some fundamental and hotly debated issues for high-stakes event predictions underpinning the computational approach to social sciences. We question several prevalent views against machine learning and outline a new paradigm that highlights the promises and promotes the infusion of computational methods and conventional social science approaches.

翻译：本文探讨了支撑社会科学计算方法的高风险事件预测中的一些基本且激烈争论的问题。我们质疑了几种反对机器学习的普遍观点，并勾勒出一个新范式，该范式强调了计算方法与社会科学传统方法的前景与融合。