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Data Science & Digital Society

Author

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  • Wolfgang Karl Härdle
  • Cathy Yi-Hsuan Chen

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.

Suggested Citation

  • Wolfgang Karl Härdle & Cathy Yi-Hsuan Chen, 2017. "Data Science & Digital Society," SFB 649 Discussion Papers SFB649DP2017-010, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    • Handle: RePEc:hum:wpaper:sfb649dp2017-010
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    File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2017-010.pdf
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    Cited by:

    1. Bianca Haas & Marcus Haward & Jeffrey McGee & Aysha Fleming, 0. "Explicit targets and cooperation: regional fisheries management organizations and the sustainable development goals," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 0, pages 1-13.

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    Keywords

    Data Science; Digital Society; social networks; herding; sentiments;
    All these keywords.

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