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Information and Communications for Development 2018: Data-Driven Development

✍ Scribed by World Bank


Publisher
World Bank Publications
Year
2018
Tongue
English
Leaves
177
Edition
1. ed.
Category
Library

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✦ Synopsis


The Information and Communications for Development report takes an in-depth look at how information and communication technologies (ICT) are impacting economic growth in developing countries. This new report, the fourth in the series, examines the topic of data-driven development, or how better information makes for better policies. The objective is to assist developing country firms and governments to unlock the value of the data they hold for better service delivery and decision making, and to empower individuals to take more control of their personal data. The chapters of the report explore different themes associated with the supply of data, the technology underlying it, and the demand for it. The concluding chapter considers government policies for data, including data protection and privacy

✦ Table of Contents


Cover......Page 1
Half Title......Page 3
Title......Page 5
Copyright......Page 6
Contents......Page 7
Foreword......Page 11
Acknowledgments......Page 13
Abbreviations......Page 15
Who benefits?......Page 17
ES.3 The Information and Communications for Development series......Page 19
ES.1 Data protection and privacy legislation worldwide, 2018......Page 22
References......Page 23
How data is changing development......Page 25
1.1 Data hogs: Top 10 private companies globally, by market capitalization, May 2017......Page 26
How governments use data......Page 29
References......Page 31
The ever-expanding data universe......Page 33
2.1 Internet users and broadband speeds......Page 34
2.4 Price of electricity (US cents per kilowatt-hour)......Page 38
2.5 Global machine-to-machine connections and traffic......Page 41
2.6 Machine-to-machine connections per 100 people, OECD member countries, June 2016......Page 42
Data holes: Filling the gaps......Page 49
2.12 Mobile data usage......Page 51
Notes......Page 53
References......Page 54
The big data revolution......Page 57
3.1 Using big data to predict dengue fever outbreaks in Pakistan......Page 58
3.2 Artificial intelligence and the transport sector......Page 59
3.9 Shedding light on migration patterns using social media information......Page 68
A way forward: Harnessing big data and AI to β€œleave no one behind”......Page 71
References......Page 72
Introduction......Page 75
4.1 Types of personal data......Page 76
4.2 The personal data market......Page 79
Remedies......Page 83
Toward a more balanced data market......Page 86
Looking to the future......Page 87
Notes......Page 88
References......Page 89
Digital platforms......Page 93
5.3 Geographical concentration of digital multinational enterprises with revenue in excess of US$1 billion, by region, 2016......Page 95
Digital platform dynamics......Page 97
Firms in the data economy......Page 98
SMEs in the data economy......Page 101
Looking ahead......Page 107
References......Page 108
Introduction......Page 113
6.1 A framework for data policies......Page 114
Data policies for building trust......Page 117
Data security......Page 123
Policies for maximizing the data economy......Page 124
Notes......Page 127
References......Page 128
Affordability and usage......Page 131
Infrastructure......Page 137
DN.1 Digital Adoption Index score, by country......Page 148
DN.2 Top Digital Adoption Index scores, 2016, and largest improvements, 2014–16......Page 155
Bibliography......Page 157
Contributors......Page 173
B1.1.1 How open data tools can assist transport......Page 28
2.1 Sub-Saharan Africa: Reliable electricity and the digital economy......Page 39
3.3 Using machine learning to analyze radio broadcasts in Uganda......Page 64
B3.5.1 Night lights in India......Page 65
3.6 Cleaning Mexico City’s air with big data and climate policy......Page 66
3.7 Self-driving cars......Page 67
3.10 Data privacy, ethics, and protection: A guidance note on big data for achievement of the 2030 Agenda......Page 70
4.1 Income-generating opportunities......Page 81
5.1 Jumia: β€œCash on delivery” e-commerce in Africa......Page 96
B5.2.1 How more data contributes to current business models in the food chain......Page 103
B5.3.1 Alibaba’s physical and virtual enablers......Page 104
5.4 The app economy in the Arab world......Page 105
5.5 Open data for SMEs: The European Union and Colombia......Page 106
6.1 Open data principles......Page 116
ES.2 Types of personal data......Page 18
ES.4 Are you willing to share your data?......Page 20
ES.5 Toward a new value chain for personal data......Page 21
2.2 Global IP traffic and global consumer IP traffic......Page 35
2.3 Hyperscale data centers......Page 37
2.7 Global network traffic and retail telecom revenue, selected countries......Page 44
2.8 Global advertising revenue......Page 45
2.10 Mobile messages, year-over-year change (percent), 2014–15......Page 47
2.11 Global internet protocol traffic and websites by language......Page 50
2.13 Mobile data pricing......Page 52
3.1 Examples of artificial intelligence applications for the Sustainable Development Goals......Page 60
5.2 Market and behavioral enablers......Page 94
5.4 A methodological approach to assessing digital platforms in emerging markets......Page 99
6.2 Government requests for user data......Page 120
6.3 Digital security risk management cycle......Page 125
DN.1 Changes in Digital Adoption Index scores and per capita income, 2014–16......Page 154
2.2 Internet exchange points by region......Page 40
5.1 Average price of 1 gigabyte of mobile data per month, by country, 2016......Page 100
1.2 Big data......Page 27
2.1 Top 10 global websites......Page 36
2.3 Average revenue per user from internet data, 2016......Page 46
2.4 Percentage of aggregate peak period traffic by region, 2015–16......Page 48
4.1 Typology of actors in the personal data market......Page 78
4.2 Benefits from personal data to individual......Page 80
4.3 Risks and remedies......Page 84
DN.1 Data and affordability......Page 132
DN.2 Government data infrastructure and open data......Page 138
DN.4 Digital Adoption Index and subindexes, by country and year......Page 149


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