Big Data Research for Social Science and Social Impact

被引：6

作者：

Lytras, Miltiadis D. ^{[1
,2
]}

Visvizi, Anna ^{[1
,3
]}

机构：

[1] Amer Coll Greece, Deree Coll, Sch Business & Econ, Athens 15342, Greece

[2] Effat Univ, Effat Coll Engn, POB 34689, Jeddah 34689, Saudi Arabia

[3] Effat Univ, Effat Coll Business, POB 34689, Jeddah 34689, Saudi Arabia

来源：

SUSTAINABILITY | 2020年 / 12卷 / 01期

关键词：

big data research; social and humanistic computing; social sciences; social good; social impact; machine learning; knowledge management; web science; data science; social inclusive economic growth; sustainability; innovation; innovation networks;

D O I：

10.3390/su12010180

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This Special Issue of Sustainability devoted to the topic of "Big Data Research for Social Sciences and Social Impact" attracted significant attention of scholars, practitioners, and policy-makers from all over the world. Locating themselves at the cross-section of advanced information systems and computer science research and insights from social science and engineering, all papers included in this Special Issue contribute to the debate on the use of big data in social sciences and big data social impact. By promoting a debate on the multifaceted challenges that our societies are exposed to today, this Special Issue offers an in-depth, integrative, well-organized, comparative study into the most recent developments shaping the future directions of interdisciplinary research and policymaking.

引用

页数：4

共 9 条

[1] Users' activities for using open government data - a process framework [J].