Abstract This article was originally drafted just four weeks after the publishing of Dataclysm, a 2014 book by Christian Rudder that sought to popularize data and data science by, in part, dismissing the social sciences and humanities as obsolete approaches to knowledge production. In looking for a potential way of responding to data scientists like Rudder, this article examines a 1948–50 essay about data that was written by Lionel Trilling (1905–75). Trilling frames data as part of our broader cultural history, which includes literature, drama, epic poetry, and the arts. This article argues that what Trilling models in the essay is a line of writing and thinking about data—a type of data criticism—that today offers tremendous promise for responding to data science and to evangelists like Christian Rudder.

中文翻译：

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如何应对数据科学：Lionel Trilling 的早期数据批评

摘要 本文最初是在 Dataclysm 出版仅四个星期后起草的，Dataclysm 是 Christian Rudder 于 2014 年出版的一本书，该书旨在通过部分地将社会科学和人文科学视为过时的知识生产方法来普及数据和数据科学。在寻找回应像 Rudder 这样的数据科学家的潜在方式时，本文考察了 1948-50 年由 Lionel Trilling (1905-75) 撰写的一篇关于数据的文章。颤音帧数据是我们更广泛的文化历史的一部分，包括文学、戏剧、史诗和艺术。本文认为，文章中的 Trilling 模型是对数据的一种写作和思考——一种数据批评——今天为回应数据科学和像 Christian Rudder 这样的福音传道者提供了巨大的希望。