Data science in context : foundations, challenges, opportunities / Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing.

Format:

Book

Author/Creator:

Spector, Alfred Z., author.

Norvig, Peter, author.

Wiggins, Chris, author.

Wing, Jeannette Marie, author.

Contributor:

Rosengarten Family Fund.

Language:

English

Subjects (All):

Data mining.

Big data.

Quantitative research.

Data Mining.

Medical Subjects:

Data Mining.

Physical Description:

xvi, 316 pages : illustrations ; 25 cm

Other Title:

Foundations, challenges, opportunities

Place of Publication:

Cambridge : Cambridge University Press, 2023.

Summary:

Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world--Publisher's description.

Contents:

Data Science. Foundations of data science

Data science is transdisciplinary

A framework for ethical considerations

Applying Data Science. Data science applications : six examples

The analysis rubric

Applying the analysis rubric

A principlist approach to ethical considerations

Challenges in Applying Data Science. Tractable data

Building and deploying models

Dependability

Understandability

Setting the right objectives

Toleration of failures

Ethical, legal, and societal challenges

Addressing Concerns. Societal concerns

Education and intelligent discourse

Regulation

Research and development

Quality and ethical governance

Concluding thoughts

Appendix Summary of recommendations from part IV.

Notes:

Includes bibliographical references (pages 282-305) and index (pages 306-316).

Local Notes:

Acquired for the Penn Libraries with assistance from the Rosengarten Family Fund.

Other Format:

ebook version :

ISBN:

1009272209

9781009272209

OCLC:

1334651326