Computational Social Sciences. A state of the art and a research agenda

被引：0

作者：

Rosati, German ^{[1
]}

Chazarreta, Adriana ^{[1
]}

Domenech Burin, Laia ^{[2
]}

Pineyrua, Florencia ^{[1
]}

Maguire, Tomas ^{[2
]}

机构：

[1] Univ Nacl San Martin, Escuela Interdisciplinaria Estudios Soci, Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina

[2] Univ Nacl San Martin, Escuela Interdisciplinaria Estudios Soci, Buenos Aires, DF, Argentina

来源：

PAPELES DE TRABAJO | 2023年 / 17卷

关键词：

computational social sciences; machine learning; research methodology;

D O I：

暂无

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

This paper aims to provide an overview of Computational Social Sciences (CSS). It argues that CSS is less of an ad-hoc discipline and more of a methodological shift in the Social Sciences. Three fundamental characteristics of CSS are identified and exemplified through research conducted at EIDAES-UNSAM.

引用

页码：59 / 69

页数：11

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