Data science and digital society

被引:1
|
作者
Chen, Cathy Yi-Hsuan [1 ]
Haerdle, Wolfgang Karl [1 ]
机构
[1] Humboldt Univ, Ladislaus von Bortkievicz Chair Stat, Inst Stat & Econometr, Sch Business & Econ, Berlin, Germany
关键词
Data science; digital society; social networks; herding; sentiments;
D O I
10.1515/picbe-2017-0071
中图分类号
F [经济];
学科分类号
02 ;
摘要
Data Science looks at raw numbers and informational objects created by different disciplines. The Digital Society creates information and numbers from many scientific disciplines. The amassment of data though makes is hard to find structures and requires a skill full analysis of this massive raw material. The thoughts presented here on DS2 - Data Science & Digital Society analyze these challenges and offers ways to handle the questions arising in this evolving context. We propose three levels of analysis and lay out how one can react to the challenges that come about. Concrete examples concern Credit default swaps, Dynamic Topic modeling, Crypto currencies and above all the quantitative analysis of real data in a DS2 context.
引用
收藏
页码:669 / 675
页数:7
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