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This curriculum and its description were developed during the
period 1981 - 1984
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.
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