The Naked Future (34 page)

7
. David Brin,
The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?
1st trade paper ed. (New York: Basic Books, 1999).

The page numbers in this index refer to the printed version of this book. The link provided will take you to the beginning of that print page. You may need to scroll forward from that location to find the corresponding reference on your e-reader.

AAdvantage,
111

AbouttheData.com,
120
–21

Accidents in workplace, prediction of,
176
–77

Acxiom,
119
–21

Advertising,
103
–9.
See also
Marketing

cookies, impact on,
105
–6

data brokerage companies,
119
–21

digital media, growth of,
104
–6

Facebook studies,
121
–26

smartphone AdWorks,
119
–20

traditional, lack of effectiveness,
104
–6,
128

user data, use of,
106
–9

AdWords,
81

AdWorks,
119
–20

Affectiva,
44

Afghanistan, eavesdropping sensors in,
8

African Americans, stereotype threat and learning,
134
–36

Agriculture, climate insurance,
80
–87

Ailment Topic Aspect Model (ATAM),
61
–65

Airline rewards programs,
110

Airport security

lie detectors for,
202
–5

natural resistance to,
205
–6

PreCheck,
207
,
210

present ineffectiveness of,
205

sensors, use in airlines,
8

Allan, Alasdair,
20
–21

Alloy,
177

Almeida, David,
41

Alter, Alexandra,
99

Amatriain, Xavier,
87
–89,
98

Amazon, reader-behavior analysis,
99
–100

American Airlines, AAdvantage,
110

American Civil Liberties Union (ACLU),
30

Animal behavior, earthquake prediction,
3
–4

Annalect,
108

Anomaly Detection at Multiple Scales (ADAMS),
209

Apps, and naked future,
xvi
–xvii

Arab Spring, predictive indicators,
200

ArcGIS,
119

Aristotle,
92
–93

Artificial intelligence, brain and predictive systems,
227
–32,
236

Astrology, Vedic, matchmaking in,
152
–53,
182

AT & T, advertisers, connecting to users,
119
–20

Attention span

film shot length based on,
100
–101

and interactive quizzes,
133
–34

Audience Propensities,
120

Automobiles, tracking,
212

Bakshy, Eytan,
122
–24

Balance theory, and matchmaking services,
158
–61

Banjo,
19

Bar, Moshe,
232
–35

Bastardi, Joe,
69

Bayes, Thomas,
23
–24

Bayesian Additive Regression Tree for Quasi-Linear (BART-QL),
94
–98

Bayes theorem,
23
–25

Bergen meteorology school,
71

Betts, Phyllis,
189

Biden, Joe,
196

Big data,
xiii
–xvi

availability to public,
xiv

Internet searches on,
xiii

media reports on,
xiii
–xiv

and metadata,
xv
–xvi

and overfitting,
5

prediction, use of,
xiii
–xiv,
181
–82

pros and cons of,
xvii

retail sector use of,
xiv

and telemetry,
xiv
–xvi

bin Laden, Osama,
199
–200

Black Death,
49
–50

Blacker, Irwin,
91

Blinder, Martin,
43

Blipcare,
43

Blondel, Vincent,
18

BlueDar,
163

Bogost, Ian,
149

Borden, Ed,
11

Bowman, Courtney,
218
–19,
221

Brain

future as product of,
232
–36

neocortex, structure and functions,
227
–28

and personality traits,
172
–74

predictive power of,
227
–36

predictive systems modeled on,
227
–36

Bratton, William,
186
–87

Brdiczka, Oliver,
211
–12

Bream Brush,
44

Breunig, Drew,
108

Brin, David,
238

Broken-windows theory,
184

Bugeja, Michael,
150

Bush, George W.,
79

Caldwell, Cindy,
176
–77

Canopy Labs,
113
–16

Carter, Graydon,
32

Cascio, Jamais,
20

CELab,
163

Centers for Disease Control (CDC), flu data collection,
61
–62

Central Intelligence Agency (CIA),
218
,
239

Chemistry.com,
173

Cheney, Dick,
7

China, predictive policing,
187

Christakis, Nicholas,
60

Christal, Raymond,
173

Chua, Sacha,
33
–34,
44

Cigarette smoking, Twitter data analysis,
108
–9

CiviGuard,
16
–17

Climate.
See
Weather and climate prediction

Climate Corporation,
81
–86

Closed-circuit TV (CCTV), for predictive policing,
194
–95

Cloud, student records in,
129
–30

Cogito,
44

Communication

character established by,
168

interaction patterns in,
168
–69

marriage partners,
178
–79

Obama-Romney debate,
170
–71

poker players, visual cues,
169
–70

sociometers/honest signals,
167
–72,
174

Computing

machine-to-machine connections, scope of,
6

memory, development of,
231
–32

mobile technology.
See
Mobile devices

ubiquitous,
6
,
238

Connection tracking system,
218
–21

Consent to Research project,
46
–48

Consumers

behavior prediction product,
120
–21

data brokerage companies,
119
–21

of grocery items.
See
Grocery stores; Walmart

and rewards programs,
111
–13

ZIP code for classifying,
118
–19

Cookies, and digital ads,
105
–6

Cooper, Kimbal E.,
57

Cosm (Pachube),
10
–12

Coursera,
133
–40,
150
–51

Coyne, Chris,
157

Craigslist,
156

Creative class cities,
150

Crime prediction.
See
Predictive policing

Crowd-sourcing, evidence of crimes,
213
–17

Culham, Jody,
232

Customer loyalty programs, gambling casinos,
109
–13

Cutting, James E.,
100

Data

big data,
xiii
–xvi

data brokerage companies,
119
–21

personal.
See
Personal data

resellers,
156

sensory,
xv
–xvi

Data leakage,
20
–21

Daydreaming,
233

Defense Advanced Research Projects Agency (DARPA),
204
,
209
,
211
,
237
–38

DeLong, Jordan E.,
100

Denby, David,
96

Department of Homeland Security,
207

Doctrine of Critical Days,
49
–50

Domestic Communications Assistance Center (DCAC),
212

Dopamine-based personality,
172

Dorgan, Bryan,
237

Downing, King,
204

Dredze, Mark,
61
–65

Duhigg, Charles,
xiii

Dunning-Kruger effect,
36

Dyson, George,
74
–75

Eagle, Nathan,
163
–65

Earthquake Early Warning (EEW) system,
2
–4,
9

Earth Shaker myth,
3
–4

eBay,
156

e-books, reader-behavior analysis,
99
–100

Education,
129
–51

cloud, student records in,
129
–30

Coursera,
133
–40,
150
–51

flip model of,
137
–38

higher, benefits of,
131

interactive quizzes,
133
–34

Ivy League online courses,
138

massively open online course (MOOC),
133
,
148
–50

One Laptop per Child (OLPC) concept,
142
–47

online, and telemetric data collection,
134
,
136
–38,
140
–42

remedial learning online,
149

self-learning via computer interface study,
144
–48

stereotype threat and minority students,
134
–36

team-learning,
144
,
146

traditional, lack of effectiveness,
132
–33,
143
–44,
149

Udacity,
138
–40

U.S. costs per student,
131

edX program,
138

eHarmony,
156

Eigendecomposition,
27
–28

Eisenhower, Dwight D.,
71
–72

Ekman, Paul,
203
–4

Electronic Frontier Foundation,
30

Electronic Numerical Integrator and Computer (ENIAC),
72
–74

Electronic Surveillance (ELSUR) Strategy,
212

Eliashberg, Jehoshua,
89
–91,
94
–98,
102

Emergency response systems

for earthquakes,
2
–4,
9

geographically-based,
16
–17

Guardian Watch,
15
–16,
213
–16

neighborhood watch network,
213
–17

Enlightenment, progress as concept of,
xii

Environmental disasters

earthquake prediction,
2
–4

Fukushima Daiichi meltdown,
9
–11

Gowanus Canal toxicity,
12
–14

sensors, data generated from,
10
–14

Environmental Systems Resources Institute (Esri),
17
,
118
–19,
191
–92,
222

Epidemiology, flu detection,
50
–67

Epinions.com,
159
–60

Erfolg,
163

Estrogen-based personality,
173

e22 Alloy,
177

eValues,
117
–18

Explosives, sensors to detect,
8

E-ZPass,
7

FAA Modernization and Reform Act (2012),
195

Facebook

Data Science Team,
121
–24,
159
–60

as dating site,
159
–60

geo-social apps,
19
–22

Home,
126

individual rank, factors in,
160

Local Search,
126

Offers,
125
–26

social influence in social advertising study,
124
–25

sponsored stories, impact of liking,
124
–25

user sharing study,
121
–23

weak versus strong ties, influence of,
123
–24

Far Out model,
27
–28

FBI, Domestic Communications Assistance Center (DCAC),
212

Finkel, Eli J.,
157
,
160
–61

Fisher, Helen,
172
–74

Fisher Temperament Inventory (FTI),
173

Fitbit,
32
,
43

Five-factor personality model,
173

Fleming, James,
71

Flip education model,
137
–38

Flu detection,
50
–67

Ailment Topic Aspect Model (ATAM) study,
61
–67

CDC method,
61
–62

databases of viruses,
54
,
57

flu triangle calculation,
59
–61

future scenario,
50
–53,
58
–59

point-of-care tests (POCTs),
58
–59

political roadblocks,
57

Supramap,
55
–56

transmission in social groups, studies,
59
–66

virus sequencing procedure,
54
–55

Flu prevention, ineffectiveness of,
53
–54

Food and Agricultural Organization (FAO),
200

Foreign Intelligence Surveillance Act (FISA),
210

Foreman, Carl,
92

Fort Hood, Texas shooting,
208
–9

Fourier analysis,
100

Foursquare,
19
,
181

Fowler, James,
60

Franklin, Benjamin,
34
–35

Freedman, Matthew,
192

Free Future
blog,
30