Paper by Michael McGann, Tamas Wells & Emma Blomkamp: “Governments are increasingly establishing innovation labs to enhance public problem solving. Despite the speed at which these new units are being established, they have only recently begun to receive attention from public management scholars. This study assesses the extent to which labs are enhancing strategic policy capacity through pursuing more collaborative and citizen-centred approaches to policy design. Drawing on original case study research of five labs in Australia and New Zealand, it examines the structure of lab’s relationships to government partners, and the extent and nature of their activities in promoting citizen-participation in public problem solving….(More)”.
Siobhan Riding at the Financial Times: “Politicians publicly grilling technology chiefs such as Facebook’s Mark Zuckerberg is all too familiar for investors. “There isn’t a day that goes by where you don’t see one of the tech companies talking to Congress or being highlighted for some kind of controversy,” says Lauren Compere, director of shareholder engagement at Boston Common Asset Management, a $2.4bn fund group that invests heavily in tech stocks.
Fallout from the Cambridge Analytica scandal that engulfed Facebook was a wake-up call for investors such as Boston Common, underlining the damaging social effects of digital technology if left unchecked. “These are the red flags coming up for us again and again,” says Ms Compere.
Digital human rights are fast becoming the latest front in the debate around fund managers’ ethical investments efforts. Fund managers have come under pressure in recent years to divest from companies that can harm human rights — from gun manufacturers or retailers to operators of private prisons. The focus is now switching to the less tangible but equally serious human rights risks lurking in fund managers’ technology holdings. Attention on technology groups began with concerns around data privacy, but emerging focal points are targeted advertising and how companies deal with online extremism.
Following a terrorist attack in New Zealand this year where the shooter posted video footage of the incident online, investors managing assets of more than NZ$90bn (US$57bn) urged Facebook, Twitter and Alphabet, Google’s parent company, to take more action in dealing with violent or extremist content published on their platforms. The Investor Alliance for Human Rights is currently co-ordinating a global engagement effort with Alphabet over the governance of its artificial intelligence technology, data privacy and online extremism.
Investor engagement on the topic of digital human rights is in its infancy. One roadblock for investors has been the difficulty they face in detecting and measuring what the actual risks are. “Most investors do not have a very good understanding of the implications of all of the issues in the digital space and don’t have sufficient research and tools to properly assess them — and that goes for companies too,” said Ms Compere.
One rare resource available is the Ranking Digital Rights Corporate Accountability Index, established in 2015, which rates tech companies based on a range of metrics. The development of such tools gives investors more information on the risk associated with technological advancements, enabling them to hold companies to account when they identify risks and questionable ethics….(More)”.
Mia Hunt at Global Government Forum: “The New Zealand government has launched a draft ‘algorithm charter’ that sets out how agencies should analyse data in a way that is fair, ethical and transparent.
The charter, which is open for public consultation, sets out 10 points that agencies would have to adhere to. These include pledging to explain how significant decisions are informed by algorithms or, where it cannot – for national security reasons, for example – explain the reason; taking into account the perspectives of communities, such as LGBTQI+, Pacific islanders and people with disabilities; and identifying and consulting with groups or stakeholders with an interest in algorithm development.
Agencies would also have to publish information about how data is collected and stored; use tools and processes to ensure that privacy, ethics, and human rights considerations are integrated as part of algorithm development and procurement; and periodically assess decisions made by algorithms for unintended bias.
They would commit to implementing a “robust” peer-review process, and have to explain clearly who is responsible for automated decisions and what methods exist for challenge or appeal “via a human”….
The charter – which fits on a single page, and is designed to be simple and easily understood – explains that algorithms are a “fundamental element” of data analytics, which supports public services and delivers “new, innovative and well-targeted” policies aims.
The charter begins: “In a world where technology is moving rapidly, and artificial intelligence is on the rise, it’s essential that government has the right safeguards in place when it uses public data for decision-making. The government must ensure that data ethics are embedded in its work, and always keep in mind the people and communities being served by these tools.”
It says Stats NZ, the country’s official data agency, is “committed to transparent and accountable use of operational algorithms and other advanced data analytics techniques that inform decisions significantly impacting on individuals or groups”….(More)”.
Jessica Wynne Lockhart at Smithsonian: “In August, marine biologists Johnny Gaskell and Peter Mumby and a team of researchers boarded a boat headed into unknown waters off the coasts of Australia. For 14 long hours, they ploughed over 200 nautical miles, a Google Maps cache as their only guide. Just before dawn, they arrived at their destination of a previously uncharted blue hole—a cavernous opening descending through the seafloor.
After the rough night, Mumby was rewarded with something he hadn’t seen in his 30-year career. The reef surrounding the blue hole had nearly 100 percent healthy coral cover. Such a find is rare in the Great Barrier Reef, where coral bleaching events in 2016 and 2017 led to headlines proclaiming the reef “dead.”
“It made me think, ‘this is the story that people need to hear,’” Mumby says.
The expedition from Daydream Island off the coast of Queensland was a pilot program to test the methodology for the Great Reef Census, a citizen science project headed by Andy Ridley, founder of the annual conservation event Earth Hour. His latest organization, Citizens of the Great Barrier Reef, has set the ambitious goal of surveying the entire 1,400-mile-long reef system in 2020…(More)”.
Ed Pilkington at The Guardian: “All around the world, from small-town Illinois in the US to Rochdale in England, from Perth, Australia, to Dumka in northern India, a revolution is under way in how governments treat the poor.
You can’t see it happening, and may have heard nothing about it. It’s being planned by engineers and coders behind closed doors, in secure government locations far from public view.
Only mathematicians and computer scientists fully understand the sea change, powered as it is by artificial intelligence (AI), predictive algorithms, risk modeling and biometrics. But if you are one of the millions of vulnerable people at the receiving end of the radical reshaping of welfare benefits, you know it is real and that its consequences can be serious – even deadly.
The Guardian has spent the past three months investigating how billions are being poured into AI innovations that are explosively recasting how low-income people interact with the state. Together, our reporters in the US, Britain, India and Australia have explored what amounts to the birth of the digital welfare state.
Their dispatches reveal how unemployment benefits, child support, housing and food subsidies and much more are being scrambled online. Vast sums are being spent by governments across the industrialized and developing worlds on automating poverty and in the process, turning the needs of vulnerable citizens into numbers, replacing the judgment of human caseworkers with the cold, bloodless decision-making of machines.
At its most forbidding, Guardian reporters paint a picture of a 21st-century Dickensian dystopia that is taking shape with breakneck speed…(More)”.
By Alexandra Shaw, Andrew Zahuranec, Andrew Young, Stefaan Verhulst
The Living Library Index–inspired by the Harper’s Index–provides important statistics and highlights global trends in governance innovation. This installment focuses on public perceptions regarding secondary uses of personal data (or the re-use of data initially collected for a different purpose). It provides a summary of societal perspectives toward personal data usage, sharing, and control. It is not meant to be comprehensive–rather, it intends to illustrate conflicting, and often confusing, attitudes toward the re-use of personal data.
Please share any additional, illustrative statistics on data, or other issues at the nexus of technology and governance, with us at email@example.com
Data ownership and control
- Percentage of Americans who say it is “very important” they control information collected about them: 74% – 2016
- Americans who think that today’s privacy laws are not good enough at protecting people’s privacy online: 68% – 2016
- Americans who say they have “a lot” of control over how companies collect and use their information: 9% – 2015
- In a survey of 507 online shoppers, the number of respondents who indicated they don’t want brands tracking their location: 62% – 2015
- In a survey of 507 online shoppers, the amount who “prefer offers that are targeted to where they are and what they are doing:” 60% – 2015
- Number of surveyed American consumers willing to provide data to corporations under the following conditions:
- “Data about my social concerns to better connect me with non-profit organizations that advance those causes:” 19% – 2018
- “Data about my DNA to help me uncover any hereditary illnesses:” 21% – 2018
- “Data about my interests and hobbies to receive relevant information and offers from online sellers:” 32% – 2018
- “Data about my location to help me find the fastest route to my destination:” 40% – 2018
- “My email address to receive exclusive offers from my favorite brands:” 56% – 2018
- Academic study participants willing to donate personal data to research if it could lead to public good: 60% – 2014
- Academic study participants willing to share personal data for research purposes in the interest of public good: 25% – 2014
- Percentage who expect companies to “treat [them] like an individual, not as a member of some segment like ‘millennials’ or ‘suburban mothers:’” 74% – 2018
- Percentage who believe that brands should understand a “consumer’s individual situation (e.g. marital status, age, location, etc.)” when they’re being marketed to: 70% – 2018 Number who are “more annoyed” by companies now compared to 5 years ago: 40% – 2018Percentage worried their data is shared across companies without their permission: 88% – 2018Amount worried about a brand’s ability to track their behavior while on the brand’s website, app, or neither: 75% – 2018
- Consumers globally who expect brands to anticipate needs before they arise: 33% – 2018
- Surveyed residents of the United Kingdom who identify as:
- “Data pragmatists” willing to share personal data “under the right circumstances:” 58% – 2017
- “Fundamentalists,” who would not share personal data for better services: 24% – 2017
- Respondents who think data sharing is part of participating in the modern economy: 62% – 2018
- Respondents who believe that data sharing benefits enterprises more than consumers: 75% – 2018
- People who want more control over their data that enterprises collect: 84% – 2018
- Percentage “unconcerned” about personal data protection: 18% – 2018
- Percentage of Americans who think that government should do more to regulate large technology companies: 55% – 2018
- Registered American voters who trust broadband companies with personal data “a great deal” or “a fair amount”: 43% – 2017
- Americans who report experiencing a major data breach: 64% – 2017
- Number of Americans who believe that their personal data is less secure than it was 5 years ago: 49% – 2019
- Amount of surveyed American citizens who consider trust in a company an important factor for sharing data: 54% – 2018
Microsoft’s 2015 Consumer Data Value Exchange Report attempts to understand consumer attitudes on the exchange of personal data across the global markets of Australia, Brazil, Canada, Colombia, Egypt, Germany, Kenya, Mexico, Nigeria, Spain, South Africa, United Kingdom and the United States. From their survey of 16,500 users, they find:
- The most popular incentives for sharing data are:
- Respondents who would prefer to see more ads to get new services: 34% – 2015
- Respondents willing to share search terms for a service that enabled fewer steps to get things done: 70% – 2015
- Respondents willing to share activity data for such an improvement: 82% – 2015
- Respondents willing to share their gender for “a service that inspires something new based on others like them:” 79% – 2015
A 2015 Pew Research Center survey presented Americans with several data-sharing scenarios related to convenience. Participants could respond: “acceptable,” “it depends,” or “not acceptable” to the following scenarios:
- Share health information to get access to personal health records and arrange appointments more easily:
- Share data for discounted auto insurance rates:
- Share data for free social media services:
- Share data on smart thermostats for cheaper energy bills:
- Surveyed banking and insurance customers who would exchange personal data for:
- Surveyed banking and insurance customers willing to share data specifically related to income, location and lifestyle habits to:
- In a survey of over 7,000 members of the public around the globe, respondents indicated:
- They thought “smartphone and tablet apps used for navigation, chat, and news that can access your contacts, photos, and browsing history” is “creepy;” 16% – 2016
- Emailing a friend about a trip to Paris and receiving advertisements for hotels, restaurants and excursions in Paris is “creepy:” 32% – 2016
- A free fitness-tracking device that monitors your well-being and sends a monthly report to you and your employer is “creepy:” 45% – 2016
- A telematics device that allows emergency services to track your vehicle is “creepy:” 78% – 2016
- The number of British residents who do not want to work with virtual agents of any kind: 48% – 2017
- Americans who disagree that “if companies give me a discount, it is a fair exchange for them to collect information about me without my knowing”: 91% – 2015
Data Brokers, Intermediaries, and Third Parties
- Americans who consider it acceptable for a grocery store to offer a free loyalty card in exchange for selling their shopping data to third parties: 47% – 2016
- Number of people who know that “searches, site visits and purchases” are reviewed without consent: 55% – 2015
- The number of people in 1991 who wanted companies to ask them for permission first before collecting their personal information and selling that data to intermediaries: 93% – 1991
- Number of Americans who “would be very concerned if the company at which their data were stored sold it to another party:” 90% – 2008
- Percentage of Americans who think it’s unacceptable for their grocery store to share their shopping data with third parties in exchange for a free loyalty card: 32% – 2016
- Percentage of Americans who think that government needs to do more to regulate advertisers: 64% – 2016
- Registered American voters who are “somewhat uncomfortable” or “very uncomfortable” with companies like Internet service providers or websites using personal data to recommend stories, articles, or videos: 56% – 2017
- Registered American voters who are “somewhat uncomfortable” or “very uncomfortable” with companies like Internet service providers or websites selling their personal information to third parties for advertising purposes: 64% – 2017
Personal Health Data
The Robert Wood Johnson Foundation’s 2014 Health Data Exploration Project Report analyzes attitudes about personal health data (PHD). PHD is self-tracking data related to health that is traceable through wearable devices and sensors. The three major stakeholder groups involved in using PHD for public good are users, companies that track the users’ data, and researchers.
- Overall Respondents:
- Percentage who believe anonymity is “very” or “extremely” important: 67% – 2014
- Percentage who “probably would” or “definitely would” share their personal data with researchers: 78% – 2014
- Percentage who believe that they own—or should own—all the data about them, even when it is indirectly collected: 54% – 2014
- Percentage who think they share or ought to share ownership with the company: 30% – 2014
- Percentage who think companies alone own or should own all the data about them: 4% – 2014
- Percentage for whom data ownership “is not something I care about”: 13% – 2014
- Percentage who indicated they wanted to own their data: 75% – 2014
- Percentage who would share data only if “privacy were assured:” 68% – 2014
- People who would supply data regardless of privacy or compensation: 27% – 2014
- Percentage of participants who mentioned privacy, anonymity, or confidentiality when asked under what conditions they would share their data: 63% – 2014
- Percentage who would be “more” or “much more” likely to share data for compensation: 56% – 2014
- Percentage who indicated compensation would make no difference: 38% – 2014
- Amount opposed to commercial or profit-making use of their data: 13% – 2014
- Percentage of people who would only share personal health data with a guarantee of:
- Surveyed Researchers:
- Percentage who agree or strongly agree that self-tracking data would help provide more insights in their research: 89% – 2014
- Percentage who say PHD could answer questions that other data sources could not: 95% – 2014
- Percentage who have used public datasets: 57% – 2014
- Percentage who have paid for data for research: 19% – 2014
- Percentage who have used self-tracking data before for research purposes: 46% – 2014
- Percentage who have worked with application, device, or social media companies: 23% – 2014
- Percentage who “somewhat disagree” or “strongly disagree” there are barriers that cannot be overcome to using self-tracking data in their research: 82% – 2014
“Americans’ Views About Data Collection and Security”, Pew Research Center, 2015.
“Data Donation: Sharing Personal Data for Public Good?”, ResearchGate, 2014.
“Data privacy: What the consumer really thinks,” Acxiom, 2018.
“Exclusive: Public wants Big Tech regulated”, Axios, 2018.
“Consumer data value exchange,” Microsoft, 2015.
“Crossing the Line: Staying on the right side of consumer privacy,” KPMG International Cooperative, 2016.
“How do you feel about the government sharing our personal data? – livechat”, The Guardian, 2017.
“Personal data for public good: using health information in medical research”, The Academy of Medical Sciences, 2006.
“Personal Data for the Public Good: New Opportunities to Enrich Understanding of Individual and Population Health”, Robert Wood Johnson Foundation, Health Data Exploration Project, Calit2, UC Irvine and UC San Diego, 2014.
“Pew Internet and American Life Project: Cloud Computing Raises Privacy Concerns”, Pew Research Center, 2008.
“Poll: Little Trust That Tech Giants Will Keep Personal Data Private”, Morning Consult & Politico, 2017.
“Privacy and Information Sharing”, Pew Research Center, 2016.
“Privacy, Data and the Consumer: What US Thinks About Sharing Data”, MarTech Advisor, 2018.
“Public Opinion on Privacy”, Electronic Privacy Information Center, 2019.
“Selligent Marketing Cloud Study Finds Consumer Expectations and Marketer Challenges are Rising in Tandem”, Selligent Marketing Cloud, 2018.
“Microsoft Research reveals understanding gap in the brand-consumer data exchange,” Microsoft Research, 2015.
“Survey: 58% will share personal data under the right circumstances”, Marketing Land: Third Door Media, 2019.
“The state of privacy in post-Snowden America”, Pew Research Center, 2016.
The Tradeoff Fallacy: How Marketers Are Misrepresenting American Consumers And Opening Them Up to Exploitation”, University of Pennsylvania, 2015.
2019 Solomon Lecture by Fiona McLeod: “Our aspiration for open and accountable government faces innumerable challenges, not least the natural reluctance of all governments to expose themselves to criticism and accept responsibility for failure.
Time and again, corporate and political goals take priority over just outcomes, and the human rights of individuals and communities are undervalued and ignored.
Numerous examples of bad behaviour shock us for a while, some even receiving the focused attention of high quality investigative journalism and Royal Commissions, but we are left unsatisfied, cynical and disengaged, more jaded than before, accepting the inevitability of existential threats, the comfort of algorithmic news feeds and vague promises to ‘drain the swamp’.
In this context, are big data and artificial intelligence the enemies of the people, the ultimate tools of the oligarch, or the vital tools needed to eliminate bias, improve scrutiny and just outcomes for the visionary? Is there a future in which humanity evolves alongside an enhanced hive-mind in time to avert global catastrophe and create a new vision for humanity?…(More)”
Paper by J. Ramon Gil‐Garcia, Paul Henman, and Martha Alicia Avila‐Maravilla: “In the last two decades, Internet portals have been used by governments around the world as part of very diverse strategies from service provision to citizen engagement. Several authors propose that there is an evolution of digital government reflected in the functionality and sophistication of these portals and other technologies. More recently, scholars and practitioners are proposing different conceptualizations of “government as a platform” and, for some, this could be the next stage of digital government. However, it is not clear what are the main differences between a sophisticated Internet portal and a platform. Therefore, based on an analysis of three of the most advanced national portals, this ongoing research paper explores to what extent these digital efforts clearly represent the basic characteristics of platforms. So, this paper explores questions such as: (1) to what extent current national portals reflect the characteristics of what has been called “government as a platform?; and (2) Are current national portals evolving towards “government as a platform”?…(More)”.
By Michelle Winowatan, Andrew J. Zahuranec, Andrew Young, Stefaan Verhulst, Max Jun Kim
The Living Library Index – inspired by the Harper’s Index – provides important statistics and highlights global trends in governance innovation. This installment focuses on the data universe.
Please share any additional, illustrative statistics on data, or other issues at the nexus of technology and governance, with us at firstname.lastname@example.org
- Percentage of the world’s population that uses the internet: 51.2% (3.9 billion people) – 2018
- Number of search processed worldwide by Google every year: at least 2 trillion – 2016
- Website traffic worldwide generated through mobile phones: 52.2% – 2018
- The total number of mobile subscriptions in the first quarter of 2019: 7.9 billion (addition of 44 million in quarter) – 2019
- Amount of mobile data traffic worldwide: nearly 30 billion GB – 2018
- Data category with highest traffic worldwide: video (60%) – 2018
- Global average of data traffic per smartphone per month: 5.6 GB – 2018
- Time between the creation of each new bitcoin block: 9.27 minutes – 2019
- Total hours of video streamed by Netflix users every minute: 97,222 – 2017
- Hours of YouTube watched per day: over 1 billion – 2018
- Number of tracks uploaded to Spotify every day: Over 20,000 – 2019
- Number of Spotify’s monthly active users: 232 million – 2019
- Spotify’s total subscribers: 108 million – 2019
- Spotify’s hours of content listened: 17 billion – 2019
- Total number of songs on Spotify’s catalog: over 30 million – 2019
- Apple Music’s total subscribers: 60 million – 2019
- Total number of songs on Apple Music’s catalog: 45 million – 2019
- Number of snaps shared by Snapchat users every day: Over 3.5 billion – 2017
- Number of tweets sent every day: 500 million – 2019
- Number of Instagram users: over 700 million – 2017
- Amount of data created by Facebook in a day: 4,000,000 GB – 2014
- Number of LinkedIn members: 645 million – 2019
- LinkedIn sign-up rate: 2 members per second – 2019
- Number of photos and videos shared on Instagram every day: 95 million – 2019
- Tinder dates per week: 1 million – 2019
- Total matches on Tinder: over 30 billion – 2019
- Most popular month on Tinder in the US: August – 2018
- Day: Monday – 2018
- Time of day: 9 PM EST – 2018
Calls and Messaging:
- Estimated robocalls made in the US: 47.8 billion – 2018
- Number of messages sent over WhatsApp each day: 65 billion – 2018
- Minutes of voice and video calls made on WhatsApp each day: 2 billion – 2018
- Top 3 most popular messaging apps worldwide: WhatsApp, Facebook Messenger, WeChat – 2019
- Worldwide email users: 2.943 billion – 2019
- Number of emails sent/received per day: 246.5 billion – 2019
- Number of packages shipped by Amazon in a year: 5 billion – 2017
- Total value of payments processed by Venmo in a year: USD 62 billion – 2019
- Based on an independent analysis of public transactions on Venmo in 2017:
- Based on a non-representative survey of 2,436 US consumers between the ages of 21 and 72 on P2P platforms:
- The average volume of transactions handled by Venmo: USD 64.2 billion – 2019
- The average volume of transactions handled by Zelle: USD 122.0 billion – 2019
- The average volume of transactions handled by PayPal: USD 141.8 billion – 2019
- Platform with the highest percent adoption among all consumers: PayPal (48%) – 2019
Internet of Things:
- Number of connected IoT devices worldwide: 8.3 billion – 2018
- Number of new devices connected to the Internet every second: 127 – 2017
- Number of wearable devices: 526 million – 2017
- Based on aggregated and anonymized data of Fitbit users from January 1, 2018 – 2018
- Total steps taken: 27 trillion – 2018
- Total hours slept: 12 billion – 2018
- Total active minutes: 119 billion – 2018
- Top 5 countries/territories with most steps: Hong Kong, Spain, Ireland, Sweden, Germany – 2018
- Top 5 countries that get the most sleep: Finland, New Zealand, Ireland, Belgium, Netherlands – 2018
- Top 5 US locales with the lowest resting heart rate: Bend, OR; Santa Barbara, Santa Maria, and San Luis Obispo, CA; Twin Falls, ID; Monterey-Salinas, CA; Juneau, AK – 2018
- Amount of data produced by an autonomous car in a one and a half hour of driving: – 4,000 GB
- Al-Heeti, Abrar. “WhatsApp: 65B Messages Sent Each Day, and More than 2B Minutes of Calls.” CNET, May 1, 2018. https://www.cnet.com/news/whatsapp-65-billion-messages-sent-each-day-and-more-than-2-billion-minutes-of-calls/.
- Bhuiyan, Johana. “Uber Powered Four Billion Rides in 2017. It Wants to Do More — and Cheaper — in 2018.” Vox, January 5, 2018. https://www.vox.com/2018/1/5/16854714/uber-four-billion-rides-coo-barney-harford-2018-cut-costs-customer-service.
- Blockchain Staff. “Bitcoin Currency Statistics.” Blockchain.com, August 2019. https://www.blockchain.com/stats.
- Carman, Ashley. “Amazon Shipped over 5 Billion Items Worldwide through Prime in 2017.” The Verge, January 2, 2018. https://www.theverge.com/2018/1/2/16841786/amazon-prime-2017-users-ship-five-billion.
- Cisco®. “Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2017–2022 White Paper.” Cisco, February 18, 2019. https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-738429.html.
- Clement, J. “Mobile Share of Website Visits Worldwide 2018.” Statistica, July 22, 2019. https://www.statista.com/statistics/241462/global-mobile-phone-website-traffic-share/.
- ———. “Most Popular Messaging Apps 2019.” Statistica, August 9, 2019. https://www.statista.com/statistics/258749/most-popular-global-mobile-messenger-apps/.
- Desjardins, Jeff. “How Much Data Is Generated Each Day?” World Economic Forum, April 17, 2019. https://www.weforum.org/agenda/2019/04/how-much-data-is-generated-each-day-cf4bddf29f/.
- Do Thi Duc, Hang. “PUBLIC BY DEFAULT – Venmo Stories of 2017.” Public By Default FYI, 2018. https://publicbydefault.fyi.
- Dwyer, Erin. “2017 on Netflix – A Year in Bingeing.” Netflix Media Center, December 11, 2017. https://media.netflix.com/en/press-releases/2017-on-netflix-a-year-in-bingeing.
- Fisher, Christine. “Apple Music Now Has 60 Million Paid Subscribers.” Engadget, June 27, 2019. https://www.engadget.com/2019/06/27/apple-music-60-million-paid-subscribers/.
- Instagram. “700 Million.” Instagram Press (blog), April 26, 2017. https://instagram-press.com/blog/2017/04/26/700-million/.
- Jonsson, Peter, Stephen Carson, Andres Torres, Per Lindberg, Kati Öhman, Athanasios Karapantelakis, Shamil Bajgin, et al. “Ericsson Mobility Report.” Stockholm, Sweden: Ericsson, 2019. https://www.ericsson.com/49d1d9/assets/local/mobility-report/documents/2019/ericsson-mobility-report-june-2019.pdf.
- Lasse Lueth, Knud. “State of the IoT 2018: Number of IoT Devices Now at 7B – Market Accelerating,” August 8, 2018. https://iot-analytics.com/state-of-the-iot-update-q1-q2-2018-number-of-iot-devices-now-7b/.
- Levenson, Josh, and Parker Hall. “Apple Music vs. Spotify.” Digital Trends, August 7, 2019. https://www.digitaltrends.com/music/apple-music-vs-spotify/.
- LinkedIn. “About Us.” LinkedIn, 2019. https://news.linkedin.com/about-us.
- Patel, Mark, Jason Shangkuan, and Christopher Thomas. “What’s New with the Internet of Things? | McKinsey.” McKinsey & Company, May 2017. https://www.mckinsey.com/industries/semiconductors/our-insights/whats-new-with-the-internet-of-things.
- Trefis Research Team. “Estimating Lyft’s Valuation.” Trefis, 2019. https://dashboards.trefis.com/no-login-required/zrRBRShU/Estimating-Lyft’s-Valuation.
- Rooney, Kate. “PayPal’s Venmo Had a Break-out Quarter with Payments Surging 80%.” CNBC, January 31, 2019. https://www.cnbc.com/2019/01/31/venmo-had-a-break-out-quarter-but-wont-make-money-for-paypal-until-at-mid-2019–.html.
- Shevlin, Ron. “Fintech Adoption in the US: The Opportunity for Banks and Credit Unions.” Scottsdale, AZ: Cornerstone Advisors, 2018. https://www.q2ebanking.com/wp-content/uploads/2019/01/20181107-Q2-Fintech-Adoption-Index.pdf.
- Smith. “Fitbit’s Fittest: The Countries (And Cities) That Stepped It Up and Slept More In 2018.” Fitbit Blog, January 12, 2019. https://blog.fitbit.com/fitbit-year-in-review-2018/.
- Snap, Inc. “Snap Inc. Reports Fourth Quarter and Full Year 2017 Results.” Snap, February 6, 2018. https://investor.snap.com/~/media/Files/S/Snap-IR/reports-and-presentations/q4-17-earnings-slides.pdf.
- Spotify. “Music – FAQ.” Spotify, 2019. https://artists.spotify.com/faq/music.
- ———. “Spotify Reports Second Quarter 2019 Earnings.” Spotify, July 31, 2019. https://newsroom.spotify.com/2019-07-31/spotify-reports-second-quarter-2019-earnings/.
- Sullivan, Danny. “Google Now Handles at Least 2 Trillion Searches per Year.” Search Engine Land, May 24, 2016. https://searchengineland.com/google-now-handles-2-999-trillion-searches-per-year-250247.
- The Radicati Group, Inc. “Email Statistics Report, 2015-2019: Executive Summary.” The Radicati Group, Inc, March 2015. https://www.radicati.com/wp/wp-content/uploads/2015/02/Email-Statistics-Report-2015-2019-Executive-Summary.pdf.
- Tinder Press Team. “Tinder Press and Brand Assets.” Tinder, 2019. https://tinder.com.
- Tinder Staff. “This Is What Happened On Tinder In 2018.” Swipe Life, December 5, 2018. https://swipelife.tinder.com/post/tinder-2018.
- Twitter, Inc. “Twitter for Business.” Twitter, 2019. https://business.twitter.com/en.html.
- Wiener, Janet, and Nathan Bronson. “Facebook’s Top Open Data Problems.” Facebook Research (blog), October 22, 2014. https://research.fb.com/blog/2014/10/facebook-s-top-open-data-problems/.
- Winter, Kathy. “For Self-Driving Cars, There’s Big Meaning Behind One Big Number: 4 Terabytes.” Intel Newsroom, April 14, 2017. https://newsroom.intel.com/editorials/self-driving-cars-big-meaning-behind-one-number-4-terabytes/.
- YouMail. “YouMail Robocall Index: July 2019 Nationwide Robocall Data.” Robocall Index, 2019. https://robocallindex.com/.
- YouTube Press Team. “Press – YouTube.” YouTube, August 2019. https://www.youtube.com/yt/about/press/.
- Zavazava, Cosmas, Rati Skhirtladze, Vanessa Gray, Esperanza Magpantay, Daniela Pokorna, Martin Schaaper, and Ivan Vallejo. “Measuring the Information Society Report 2018 – Volume 1.” Geneva, Switzerland: International Telecommunication Union, 2018. https://www.itu.int/en/ITU-D/Statistics/Documents/publications/misr2018/MISR-2018-Vol-1-E.pdf.
Report by Beth Noveck and Rod Glover: “Governments of all political stripes are being buffeted by technological and societal change. There is a pervasive sense globally that governments are not doing as well as they ought to solve our biggest policy problems. Pressure has intensified to provide better services and experiences, and deliver measurable results that improve people’s lives. The failure to meet our most pressing challenges help to explain why in Australia, trust in government is at an all-time low. New technologies, however, bring with them the opportunity to rethink how the public sector in Australia might solve public problems by building a workforce with diverse and innovative skills, especially how to use data and actively reach out beyond the public sector itself.
Commissioned by the Australia and New Zealand School of Government (ANZSOG), this report builds on a pioneering survey of almost 400 public servants in Australia and New Zealand, dozens of interviews with senior practitioners, and original research into how governments around the world are training public officials in innovative practices.
The survey findings show that public servants are eager to embrace skills for innovation but receive inadequate training in them….(More)”