For better and worse, our world has been transformed by Big Data. To understand digital traces generated by individuals, we need to design multidisciplinary approaches that combine social and data science. Data and social scientists face the challenge of effectively building upon each other’s approaches to overcome the limitations inherent in each side. Here, we offer a “data science perspective” on the challenges that arise when working to establish this interdisciplinary environment. We discuss how we perceive the differences and commonalities of the questions we ask to understand digital behaviors (including how we answer them), and how our methods may complement each other. Finally, we describe what a path toward common ground between these fields looks like when viewed from data science.

无论好坏，我们的世界已经被大数据改变了。为了理解个人产生的数字痕迹，我们需要设计结合社会科学和数据科学的多学科方法。数据科学家和社会科学家面临着有效建立彼此方法以克服双方固有局限性的挑战。在这里，我们针对在努力建立这种跨学科环境时出现的挑战提供了“数据科学视角”。我们讨论了我们如何看待为理解数字行为而提出的问题的差异和共性（包括我们如何回答这些问题），以及我们的方法如何相互补充。最后，我们描述了从数据科学的角度来看，这些领域之间走向共同点的路径是什么样的。