<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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 &amp; 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.</p></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.

Data science and digital society

Institute for Statistics und Econometrics

Proceedings of the International Conference on Business Excellence

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Data science and digital society"}

Data Science looks at raw numbers and informational objects created by different disciplines. The Digital Society creates information and numbers from many...

Data science and digital society

Online veröffentlicht: 26. Aug. 2017

Seitenbereich: 669 - 675

DOI: https://doi.org/10.1515/picbe-2017-0071

Schlüsselwörter
Data science, digital society, social networks, herding, sentiments

© 2017 Cathy Yi-Hsuan Chen et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Data science and digital society

Online veröffentlicht: 26. Aug. 2017

Seitenbereich: 669 - 675

DOI: https://doi.org/10.1515/picbe-2017-0071

SchlüsselwörterData science, digital society, social networks, herding, sentiments

© 2017 Cathy Yi-Hsuan Chen et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Data science, digital society, social networks, herding, sentiments