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Social science, today
Science ( IF 56.9 ) Pub Date : 2018-01-04 , DOI: 10.1126/science.aaq0679
David Lazer 1
Affiliation  

A breezy, personal guide provides a road map to solid computational social science research Generally, social scientists have been poorly equipped to deal with the 21st-century deluge of large-scale complex data. Computer scientists, well equipped to handle the data, are often ignorant of social theory and of foundational research methods in the social sciences. What is needed is an articulation of core principles of designing research that are accessible to multiple disciplines. Into this breach steps Matthew Salganik with Bit by Bit.

中文翻译:

社会科学,今天

轻松的个人指南为可靠的计算社会科学研究提供了路线图 一般来说,社会科学家在处理 21 世纪的大规模复杂数据洪流方面的能力很差。具备处理数据能力的计算机科学家通常对社会理论和社会科学的基础研究方法一无所知。需要的是阐明设计研究的核心原则,这些原则可供多个学科使用。马修·萨尔加尼克(Matthew Salganik)与一点一点地解决了这一违规行为。
更新日期:2018-01-04
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