Data science and digital society

Chen Cathy Yi-Hsuan () and Härdle Wolfgang Karl ()
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Chen Cathy Yi-Hsuan: Ladislaus von Bortkievicz Chair of Statistics; Institute for Statistics und Econometrics; School of Business and Economics; Humboldt-Universität zu Berlin; Berlin, Germany
Härdle Wolfgang Karl: Ladislaus von Bortkievicz Chair of Statistics; Institute for Statistics und Econometrics; School of Business and Economics; Humboldt-Universität zu Berlin; Berlin, Germany

Proceedings of the International Conference on Business Excellence, 2017, vol. 11, issue 1, 669-675

Abstract: 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.

Keywords: Data science; digital society; social networks; herding; sentiments (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:poicbe:v:11:y:2017:i:1:p:669-675:n:71

DOI: 10.1515/picbe-2017-0071

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