Computational History of Knowledge: Challenges and Opportunities

Computational History of Knowledge: Challenges and Opportunities
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知识的计算史:挑战与机遇

DOI:
10.1086/705544
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发表时间:
2019
期刊:
影响因子:
0.6
通讯作者:
Renn, Jürgen
Renn, Jürgen
中科院分区:
人文科学4区
文献类型:
--
作者:
Laubichler, Manfred D.;Maienschein, Jane;Renn, Jürgen

文献摘要

被引文献

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到目前为止,21世纪已经被定义为数字数据的不断增加和计算方法的实质性进步。总的来说,这些发展已经影响到我们生活的各个方面,包括科学和人文科学的研究方式。这种计算的转向经常被不安地看待。但正如本文所论证的,它也为知识史提供了令人兴奋的新视角。本文建议,通过拥抱新的可能性并积极参与新的计算方法的发展,知识史可以作为人文世界之间的桥梁,其传统是密切阅读和对个案的详细理解,以及大数据和计算分析的世界。我们可以获得关于知识进化的新视角,既详细又广泛。
So far, the twenty-first century has been defined by an ever-increasing availability of digital data and substantial advances in computational methods. Taken together, these developments have already affected all aspects of our lives, including the ways research in the sciences and the humanities is conducted. This computational turn is often viewed with unease. But as this essay argues, it also offers exciting new perspectives for the history of knowledge. Rather than fighting these trends, the essay suggests, by embracing new possibilities and actively participating in the development of new computational methodologies the history of knowledge can act as a bridge between the world of the humanities, with its tradition of close reading and detailed understanding of individual cases, and the world of big data and computational analysis. We can gain novel perspectives on the evolution of knowledge that are both detailed and broad.