000			nam a22 4500
999			_c32166 _d32166
008			231024b xxu||||| |||| 00| 0 eng d
020			_a9781009272209
082			_a006.312 _bSPE
100			_aSpector, Alfred Z
245			_aData science in context : foundations, challenges, opportunities
260			_bCambridge University Press, _c2023 _aCambridge :
300			_axvi, 316 p.; _bill., _c25 cm
365			_b29.99 _cGBP _d107.60
504			_aIncludes bibliographical references and index.
520			_aData 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.
650			_aBig data
650			_aData mining
650			_aQuantitative research
650			_aProfessional Ethics
650			_aAnalysis Rubric
650			_aEthical Considerations
650			_aBuilding and Deploying Models
650			_aToleration of Failures
650			_aSocietal Challenges
650			_aIntelligent Discourse
700			_aNorvig, Peter
700			_aWiggins,H Chris
700			_aWing,Marie Jeannette
942			_2ddc _cBK