Table of Contents
Foreword 4
Introduction: Why Heresy? 6
Why Data Science? 11
Where to from here? 21
Chapter 1: Who's in charge? 23
Show me the data 24
How Data Science & Technology are shaping our world 29
Chapter 2: The shape of the future 51
Evidence Based Medicine 52
Evidence Based Climate Response 60
Evidence Based Welfare 67
Evidence based education 72
Evidence based Computing Education 73
Teaching the teachers 75
How do we fix it all? 80
Chapter 3: Science is Solved 81
A History of Heresy in Science 81
What is science? 84
What we teach - Science curricula around the world 91
Science in Schools: An Education in Confirmation Bias 97
Now what? 99
Chapter 4: Measurable or Meaningful: Pick One 100
A statement of priorities 100
What kind of people do we want our kids to be? 104
The myth of perfect data 109
What is assessment for? 112
What do we WANT the purpose of education to be? 115
Assessing the Assessors 118
Workloads 119
Out of field teaching 121
Measurable AND meaningful - how can we have both? 123
Chapter 5: Accepting the Unexpected 124
Knowing versus Understanding 126
Getting comfortable with uncertainty 130
The Unexpected World 133
The Unexpected Classroom 134
Assessing the Unexpected 139
Chapter 6: Projects with Impact 142
In the Beginning, there were toys 142
The Real Thing 145
Getting Real 150
Chapter 7: Templates for Data Science Projects 159
Local Projects 159
Global Projects 167
Where to from here? 182
Chapter 8: What Now? 183
What can you do? 186
Sample Projects 188
Local Project 188
Sample Global Project 196
Acknowledgements 204
