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"Introduces the ethical dimensions of data science for undergraduates, masters students, and professionals"--
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"Introduces the ethical dimensions of data science for undergraduates, masters students, and professionals"--
Produktdetails
- Produktdetails
- Verlag: MIT Press Ltd
- Seitenzahl: 200
- Erscheinungstermin: 1. März 2022
- Englisch
- Abmessung: 255mm x 181mm x 17mm
- Gewicht: 412g
- ISBN-13: 9780262543217
- ISBN-10: 0262543214
- Artikelnr.: 62847361
- Verlag: MIT Press Ltd
- Seitenzahl: 200
- Erscheinungstermin: 1. März 2022
- Englisch
- Abmessung: 255mm x 181mm x 17mm
- Gewicht: 412g
- ISBN-13: 9780262543217
- ISBN-10: 0262543214
- Artikelnr.: 62847361
Cecilia Aragon is Professor in the Department of Human Centered Design and Engineering at the University of Washington. Shion Guha is Assistant Professor in the Faculty of Information at the University of Toronto. Marina Kogan is Assistant Professor in the School of Computing at the University of Utah. Michael Muller is a Research staff member at IBM Research. Gina Neff is Director of the Minderoo Centre for Technology and Democracy at the University of Cambridge and Professor of Technology and Society at the Oxford Internet Institute and the Department of Sociology at the University of Oxford.
Acknowledgments ix
1 Data Science to Human-Centered Data Science 1
2 The Data Science Cycle 13
3 Interrogating Data Science 31
4 Techniques and Tools for Data Science Models 51
5 Human-Centered Approaches to Data Science Problems 75
6 Human-Centered Data Science Methods 93
7 Collaborations across and beyond Data Science 115
8 Storytelling with Data 129
9 The Future of Human-Centered Data Science 147
Glossary 153
References 163
Index 179
1 Data Science to Human-Centered Data Science 1
2 The Data Science Cycle 13
3 Interrogating Data Science 31
4 Techniques and Tools for Data Science Models 51
5 Human-Centered Approaches to Data Science Problems 75
6 Human-Centered Data Science Methods 93
7 Collaborations across and beyond Data Science 115
8 Storytelling with Data 129
9 The Future of Human-Centered Data Science 147
Glossary 153
References 163
Index 179
Acknowledgments ix
1 Data Science to Human-Centered Data Science 1
2 The Data Science Cycle 13
3 Interrogating Data Science 31
4 Techniques and Tools for Data Science Models 51
5 Human-Centered Approaches to Data Science Problems 75
6 Human-Centered Data Science Methods 93
7 Collaborations across and beyond Data Science 115
8 Storytelling with Data 129
9 The Future of Human-Centered Data Science 147
Glossary 153
References 163
Index 179
1 Data Science to Human-Centered Data Science 1
2 The Data Science Cycle 13
3 Interrogating Data Science 31
4 Techniques and Tools for Data Science Models 51
5 Human-Centered Approaches to Data Science Problems 75
6 Human-Centered Data Science Methods 93
7 Collaborations across and beyond Data Science 115
8 Storytelling with Data 129
9 The Future of Human-Centered Data Science 147
Glossary 153
References 163
Index 179