Big Data Challenges Society, Security, Innovation and Ethics

✍ Scribed by Bunnik, Anno(Editor);Cawley, Anthony(Editor);Mulqueen, Michael(Editor);Zwitter, Andrej(Editor)

• Publisher: Palgrave MacMillan
• Year: 2016
• Tongue: English
• Leaves: 148
• Edition: 1st ed. 2016
• Category: Library

✦ Table of Contents

Acknowledgements......Page 6
Contents......Page 8
Notes on Contributors......Page 10
Listof Figures......Page 14
Chapter 1: Introduction to Big Data Challenges......Page 15
Part I: Between Mathematics and Philosophy......Page 18
Part II: Implications for Security......Page 19
Part I: Between Mathematics and Philosophy......Page 22
The Machine as Data Scientist......Page 23
The Case Against Automated Reasoning......Page 26
The Evidence of Automated Reasoning......Page 28
The Consequences of Automated Reasoning......Page 30
Putting the Human Back into the Reasoning Loop......Page 32
References......Page 33
Introduction......Page 35
Notions of Individual and Corporate Moral Agency1......Page 37
Network Ethics: Transcending Agency Altogether......Page 39
In the Web of Big Data......Page 40
Power in Network Theory......Page 42
Consequences for Moral Network Agency......Page 43
Concluding Remarks on Big Data Implications......Page 44
References......Page 45
Introduction......Page 47
Dividuation, Surveillance, and the Person......Page 49
Information Theory and the Meaning and Definition of Data......Page 52
Agency, Autonomy, and Information......Page 55
Conclusions......Page 57
References......Page 58
Chapter 5: Is There a Press Release on That? The Challenges and Opportunities of Big Data for News Media......Page 61
Introduction......Page 62
A Long Time Coming: Journalism Meets Big Data......Page 63
Academic Views of Journalism and Big Data......Page 65
Data Journalism in Ireland......Page 66
Concluding Comments......Page 67
References......Page 69
Part II: Implications for Security......Page 71
Introduction: Shakespeare and the Sniper......Page 72
Ethics and Innovations in Big Data......Page 74
Geopolitics: Data as the New Oil?......Page 75
Conclusions......Page 80
References......Page 81
Chapter 7: Needles in Haystacks: Law, Capability, Ethics, and Proportionality in Big Data Intelligence-Gathering......Page 83
Introduction......Page 84
Epistemological Issues......Page 85
Needles and Haystacks......Page 87
Conclusions: Countering the Critics......Page 92
References......Page 94
Chapter 8: Countering and Understanding Terrorism, Extremism, and Radicalisation in a Big Data Age......Page 95
Counter-Terrorism and Countering Violent Extremism and Radicalisation......Page 96
Big Data: Isolating Drivers, Targeting Potential Terrorists......Page 98
The Role of Non-State Actors......Page 101
The Private Sector and Online Radicalisation......Page 102
Conclusions......Page 104
References......Page 105
Chapter 9: Enhancing Intelligence-Led Policing: Law Enforcement’s Big Data Revolution......Page 107
The ‘Big Nine’; Law Enforcement Big Data Systems......Page 108
Oversight and Big Data......Page 112
Future Challenges for Law Enforcement and the Use of Big Data......Page 113
Conclusions......Page 118
Notes......Page 120
References......Page 121
Chapter 10: Sociotechnical Imaginaries of Big Data: Commercial Satellite Imagery and Its Promise of Speed and Transparency......Page 124
Introduction......Page 125
Orbiting Doves: The Commercialisation of Earth Observation......Page 127
Feeding the Algorithm: Human–Machine Interactions......Page 128
Risks, Promises and Pushing Boundaries: Expected Political Implications......Page 130
Conclusions......Page 132
Notes......Page 133
References......Page 134
Chapter 11: Using Big Data to Achieve Food Security......Page 136
Global Pulse......Page 137
Food and the ‘Industrial Revolution’ in Data......Page 138
Limitations......Page 140
Big Data, Finance Capitalism, and Food Insecurity......Page 141
References......Page 143
Index......Page 145