Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/169200
Authors: 
Chen, Cathy Yi-Hsuan
Härdle, Wolfgang
Year of Publication: 
2017
Series/Report no.: 
SFB 649 Discussion Paper 2017-010
Abstract: 
Data Science looks at raw numbers and informational objects created by different disciplines. The Digital Society creates information and numbers from many scientiHic disciplines. The amassment of data though makes is hard to Hind 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.
Subjects: 
Data Science
Digital Society
social networks
herding
sentiments
Document Type: 
Working Paper

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