Book contents
- Data Science in Context
- Reviews
- Data Science in Context
- Copyright page
- Contents
- Figures
- Tables
- Preface
- Acknowledgments
- Introduction
- Part I Data Science
- Chapter 1 Foundations of Data Science
- Chapter 2 Data Science Is Transdisciplinary
- Chapter 3 A Framework for Ethical Considerations
- Recap of Part I: Data Science
- Part II Applying Data Science
- Part III Challenges in Applying Data Science
- Part IV Addressing Concerns
- Chapter 20 Concluding Thoughts
- Appendix Summary of Recommendations from Part IV
- About the Authors
- References
- Index
Chapter 2 - Data Science Is Transdisciplinary
from Part I - Data Science
Published online by Cambridge University Press: 29 September 2022
Book contents
- Data Science in Context
- Reviews
- Data Science in Context
- Copyright page
- Contents
- Figures
- Tables
- Preface
- Acknowledgments
- Introduction
- Part I Data Science
- Chapter 1 Foundations of Data Science
- Chapter 2 Data Science Is Transdisciplinary
- Chapter 3 A Framework for Ethical Considerations
- Recap of Part I: Data Science
- Part II Applying Data Science
- Part III Challenges in Applying Data Science
- Part IV Addressing Concerns
- Chapter 20 Concluding Thoughts
- Appendix Summary of Recommendations from Part IV
- About the Authors
- References
- Index
Summary
This chapter explains how data science has been able to achieve its theoretical, methodological, and practical results by combining the approaches of different disciplines to create a new field. It also surveys the breadth of data science’s likely impact and explains that its continued success is due not only to its own core advances, but to coalitions with many other disciplines.
- Type
- Chapter
- Information
- Data Science in ContextFoundations, Challenges, Opportunities, pp. 29 - 36Publisher: Cambridge University PressPrint publication year: 2022