What makes data science different? A discussion involving Statistics2.0 and computational sciences
- Author
- Christophe Ley (UGent) and Stéphane Bordas
- Organization
- Abstract
- Data Science is today one of the main buzzwords, be it in business, industrial or academic settings. Machine learning, experimental design, data-driven modelling are all, undoubtedly, rising disciplines if one goes by the soaring number of research papers and patents appearing each year. The prospect of becoming a "Data Scientist" appeals to many. A discussion panel organised as part of the European Data Science Conference (European Association for Data Science (EuADS)) https://euads.org/edsc/ asked the question: "What makes Data Science different?" In this paper, we give our own, personal and multi-faceted view on this question, from a Statistics and an Engineering perspective. In particular, we compare Data Science to Statistics and discuss the connection between Data Science and Computational Sciences.
- Keywords
- High-dimensional statistics, Data assimilation, Interdisciplinary research, Data Science, Data fusion, Computational Sciences, Machine Learning, Scientific Computing, Data-driven modelling, Modelling, Applied mathematics, Simulation, Digital twins, Training, Education, Research
Downloads
-
10.1007 s41060-017-0090-x.pdf
- full text (Published version)
- |
- open access
- |
- |
- 477.36 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8599288
- MLA
- Ley, Christophe, and Stéphane Bordas. “What Makes Data Science Different? A Discussion Involving Statistics2.0 and Computational Sciences.” INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, vol. 6, no. 3, 2018, pp. 167–75, doi:10.1007/s41060-017-0090-x.
- APA
- Ley, C., & Bordas, S. (2018). What makes data science different? A discussion involving Statistics2.0 and computational sciences. INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 6(3), 167–175. https://doi.org/10.1007/s41060-017-0090-x
- Chicago author-date
- Ley, Christophe, and Stéphane Bordas. 2018. “What Makes Data Science Different? A Discussion Involving Statistics2.0 and Computational Sciences.” INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS 6 (3): 167–75. https://doi.org/10.1007/s41060-017-0090-x.
- Chicago author-date (all authors)
- Ley, Christophe, and Stéphane Bordas. 2018. “What Makes Data Science Different? A Discussion Involving Statistics2.0 and Computational Sciences.” INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS 6 (3): 167–175. doi:10.1007/s41060-017-0090-x.
- Vancouver
- 1.Ley C, Bordas S. What makes data science different? A discussion involving Statistics2.0 and computational sciences. INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 2018;6(3):167–75.
- IEEE
- [1]C. Ley and S. Bordas, “What makes data science different? A discussion involving Statistics2.0 and computational sciences,” INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, vol. 6, no. 3, pp. 167–175, 2018.
@article{8599288,
abstract = {{Data Science is today one of the main buzzwords, be it in business, industrial or academic settings. Machine learning, experimental design, data-driven modelling are all, undoubtedly, rising disciplines if one goes by the soaring number of research papers and patents appearing each year. The prospect of becoming a "Data Scientist" appeals to many. A discussion panel organised as part of the European Data Science Conference (European Association for Data Science (EuADS)) https://euads.org/edsc/ asked the question: "What makes Data Science different?" In this paper, we give our own, personal and multi-faceted view on this question, from a Statistics and an Engineering perspective. In particular, we compare Data Science to Statistics and discuss the connection between Data Science and Computational Sciences.}},
author = {{Ley, Christophe and Bordas, Stéphane}},
issn = {{2364-415X}},
journal = {{INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS}},
keywords = {{High-dimensional statistics,Data assimilation,Interdisciplinary research,Data Science,Data fusion,Computational Sciences,Machine Learning,Scientific Computing,Data-driven modelling,Modelling,Applied mathematics,Simulation,Digital twins,Training,Education,Research}},
language = {{eng}},
number = {{3}},
pages = {{167--175}},
title = {{What makes data science different? A discussion involving Statistics2.0 and computational sciences}},
url = {{http://doi.org/10.1007/s41060-017-0090-x}},
volume = {{6}},
year = {{2018}},
}
- Altmetric
- View in Altmetric