Book by Megh R. Goyal and Emmanuel Eilu: “… explores how digital media and wireless communication, especially mobile phones and social media platforms, offer concrete opportunities for developing countries to transform different sectors of their economies. The volume focuses on the agricultural, economic, and education sectors. The chapter authors, mostly from Africa and India, provide a wealth of information on recent innovations, the opportunities they provide, challenges faced, and the direction of future research in digital media and wireless communication to leverage transformation in developing countries….(More)”.
How cities can leverage citizen data while protecting privacy
MIT News: “India is on a path with dual — and potentially conflicting — goals related to the use of citizen data.
To improve the efficiency their municipal services, many Indian cities have started enabling government-service requests, which involves collecting and sharing citizen data with government officials and, potentially, the public. But there’s also a national push to protect citizen privacy, potentially restricting data usage. Cities are now beginning to question how much citizen data, if any, they can use to track government operations.
In a new study, MIT researchers find that there is, in fact, a way for Indian cities to preserve citizen privacy while using their data to improve efficiency.
The researchers obtained and analyzed data from more than 380,000 government service requests by citizens across 112 cities in one Indian state for an entire year. They used the dataset to measure each city government’s efficiency based on how quickly they completed each service request. Based on field research in three of these cities, they also identified the citizen data that’s necessary, useful (but not critical), or unnecessary for improving efficiency when delivering the requested service.
In doing so, they identified “model” cities that performed very well in both categories, meaning they maximized privacy and efficiency. Cities worldwide could use similar methodologies to evaluate their own government services, the researchers say. …(More)”.
The Global Disinformation Order: 2019 Global Inventory of Organised Social Media Manipulation
Report by Philip Howard and Samantha Bradshaw: “…The report explores the tools, capacities, strategies and resources employed by global ‘cyber troops’, typically government agencies and political parties, to influence public opinion in 70 countries.
Key findings include:
- Organized social media manipulation has more than doubled since 2017, with 70 countries using computational propaganda to manipulate public opinion.
- In 45 democracies, politicians and political parties have used computational propaganda tools by amassing fake followers or spreading manipulated media to garner voter support.
- In 26 authoritarian states, government entities have used computational propaganda as a tool of information control to suppress public opinion and press freedom, discredit criticism and oppositional voices, and drown out political dissent.
- Foreign influence operations, primarily over Facebook and Twitter, have been attributed to cyber troop activities in seven countries: China, India, Iran, Pakistan, Russia, Saudi Arabia and Venezuela.
- China has now emerged as a major player in the global disinformation order, using social media platforms to target international audiences with disinformation.
- 25 countries are working with private companies or strategic communications firms offering a computational propaganda as a service.
- Facebook remains the platform of choice for social media manipulation, with evidence of formally organised campaigns taking place in 56 countries….
The report explores the tools and techniques of computational propaganda, including the use of fake accounts – bots, humans, cyborgs and hacked accounts – to spread disinformation. The report finds:
- 87% of countries used human accounts
- 80% of countries used bot accounts
- 11% of countries used cyborg accounts
- 7% of countries used hacked or stolen accounts…(More)”.
Index: The Data Universe 2019
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 [email protected]
Internet Traffic:
- 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
Streaming Services:
- 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
Social Media:
- 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
Retail/Financial Transaction:
- 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:
- Number of public transactions on Venmo: 207,984,218 – 2017
- Top 5 most frequent last name on Venmo: Smith, Johnson, Lee, Williams, Brown
- Number of transactions that involved pizza or the pizza emoji: 2,979,619 – 2017
- Number of transactions involving house and money with wings emoji or rent: 3,020,484
- 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
Sources:
- 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.
The plan to mine the world’s research papers
Priyanka Pulla in Nature: “Carl Malamud is on a crusade to liberate information locked up behind paywalls — and his campaigns have scored many victories. He has spent decades publishing copyrighted legal documents, from building codes to court records, and then arguing that such texts represent public-domain law that ought to be available to any citizen online. Sometimes, he has won those arguments in court. Now, the 60-year-old American technologist is turning his sights on a new objective: freeing paywalled scientific literature. And he thinks he has a legal way to do it.
Over the past year, Malamud has — without asking publishers — teamed up with Indian researchers to build a gigantic store of text and images extracted from 73 million journal articles dating from 1847 up to the present day. The cache, which is still being created, will be kept on a 576-terabyte storage facility at Jawaharlal Nehru University (JNU) in New Delhi. “This is not every journal article ever written, but it’s a lot,” Malamud says. It’s comparable to the size of the core collection in the Web of Science database, for instance. Malamud and his JNU collaborator, bioinformatician Andrew Lynn, call their facility the JNU data depot.
No one will be allowed to read or download work from the repository, because that would breach publishers’ copyright. Instead, Malamud envisages, researchers could crawl over its text and data with computer software, scanning through the world’s scientific literature to pull out insights without actually reading the text.
The unprecedented project is generating much excitement because it could, for the first time, open up vast swathes of the paywalled literature for easy computerized analysis. Dozens of research groups already mine papers to build databases of genes and chemicals, map associations between proteins and diseases, and generate useful scientific hypotheses. But publishers control — and often limit — the speed and scope of such projects, which typically confine themselves to abstracts, not full text. Researchers in India, the United States and the United Kingdom are already making plans to use the JNU store instead. Malamud and Lynn have held workshops at Indian government laboratories and universities to explain the idea. “We bring in professors and explain what we are doing. They get all excited and they say, ‘Oh gosh, this is wonderful’,” says Malamud.
But the depot’s legal status isn’t yet clear. Malamud, who contacted several intellectual-property (IP) lawyers before starting work on the depot, hopes to avoid a lawsuit. “Our position is that what we are doing is perfectly legal,” he says. For the moment, he is proceeding with caution: the JNU data depot is air-gapped, meaning that no one can access it from the Internet. Users have to physically visit the facility, and only researchers who want to mine for non-commercial purposes are currently allowed in. Malamud says his team does plan to allow remote access in the future. “The hope is to do this slowly and deliberately. We are not throwing this open right away,” he says….(More)”.
Betting on biometrics to boost child vaccination rates
Ben Parker at The New Humanitarian: “Thousands of children between the ages of one and five are due to be fingerprinted in Bangladesh and Tanzania in the largest biometric scheme of its kind ever attempted, the Geneva-based vaccine agency, Gavi, announced recently.
Although the scheme includes data protection safeguards – and its sponsors are cautious not to promise immediate benefits – it is emerging during a widening debate on data protection, technology ethics, and the risks and benefits of biometric ID in development and humanitarian aid.
Gavi, a global vaccine provider, is teaming up with Japanese and British partners in the venture. It is the first time such a trial has been done on this scale, according to Gavi spokesperson James Fulker.
Being able to track a child’s attendance at vaccination centres, and replace “very unreliable” paper-based records, can help target the 20 million children who are estimated to miss key vaccinations, most in poor or remote communities, Fulker said.
Up to 20,000 children will have their fingerprints taken and linked to their records in existing health projects. That collection effort will be managed by Simprints, a UK-based not-for-profit enterprise specialising in biometric technology in international development, according to Christine Kim, the company’s head of strategic partnerships….
Ethics and legal safeguards
Kim said Simprints would apply data protection standards equivalent to the EU’s General Directive on Privacy Regulation (GDPR), even if national legislation did not demand it. Families could opt out without any penalties, and informed consent would apply to any data gathering. She added that the fieldwork would be approved by national governments, and oversight would also come from institutional review boards at universities in the two countries.
Fulker said Gavi had also commissioned a third-party review to verify Simprints’ data protection and security methods.
For critics of biometrics use in humanitarian settings, however, any such plan raises red flags….
Data protection analysts have long been arguing that gathering digital ID and biometric data carries particular risks for vulnerable groups who face conflict or oppression: their data could be shared or leaked to hostile parties who could use it to target them.
In a recent commentary on biometrics and aid, Linda Raftree told The New Humanitarian that “the greatest burden and risk lies with the most vulnerable, whereas the benefits accrue to [aid] agencies.”
And during a panel discussion on “Digital Do No Harm” held last year in Berlin, humanitarian professionals and data experts discussed a range of threats and unintended consequences of new technologies, noting that they are as yet hard to predict….(More)”.
An open platform centric approach for scalable government service delivery to the poor: The Aadhaar case
Paper by Sandip Mukhopadhyay, Harry Bouwman and Mahadeo PrasadJaiswal: “The efficient delivery of government services to the poor, or Bottom of the Pyramid (BOP), faces many challenges. While a core problem is the lack of scalability, that could be solved by the rapid proliferation of platforms and associated ecosystems. Existing research involving platforms focus on modularity, openness, ecosystem leadership and governance, as well as on their impact on innovation, scale and agility. However, existing studies fail to explore the role of platform in scalable e-government services delivery on an empirical level. Based on an in-depth case study of the world’s largest biometric identity platform, used by millions of the poor in India, we develop a set of propositions connecting the attributes of a digital platform ecosystem to different indicators for the scalability of government service delivery. We found that modular architecture, combined with limited functionality in core modules, and open standards combined with controlled access and ecosystem governance enabled by keystone behaviour, have a positive impact on scalability. The research provides insights to policy-makers and government officials alike, particularly those in nations struggling to provide basic services to poor and marginalised. …(More)”.
Bringing Truth to the Internet
Article by Karen Kornbluh and Ellen P. Goodman: “The first volume of Special Counsel Robert Mueller’s report notes that “sweeping” and “systemic” social media disinformation was a key element of Russian interference in the 2016 election. No sooner were Mueller’s findings public than Twitter suspended a host of bots who had been promoting a “Russiagate hoax.”
Since at least 2016, conspiracy theories like Pizzagate and QAnon have flourished online and bled into mainstream debate. Earlier this year, a British member of Parliament called social media companies “accessories to radicalization” for their role in hosting and amplifying radical hate groups after the New Zealand mosque shooter cited and attempted to fuel more of these groups. In Myanmar, anti-Rohingya forces used Facebook to spread rumors that spurred ethnic cleansing, according to a UN special rapporteur. These platforms are vulnerable to those who aim to prey on intolerance, peer pressure, and social disaffection. Our democracies are being compromised. They work only if the information ecosystem has integrity—if it privileges truth and channels difference into nonviolent discourse. But the ecosystem is increasingly polluted.
Around the world, a growing sense of urgency about the need to address online radicalization is leading countries to embrace ever more draconian solutions: After the Easter bombings in Sri Lanka, the government shut down access to Facebook, WhatsApp, and other social media platforms. And a number of countries are considering adopting laws requiring social media companies to remove unlawful hate speech or face hefty penalties. According to Freedom House, “In the past year, at least 17 countries approved or proposed laws that would restrict online media in the name of fighting ‘fake news’ and online manipulation.”
The flaw with these censorious remedies is this: They focus on the content that the user sees—hate speech, violent videos, conspiracy theories—and not on the structural characteristics of social media design that create vulnerabilities. Content moderation requirements that cannot scale are not only doomed to be ineffective exercises in whack-a-mole, but they also create free expression concerns, by turning either governments or platforms into arbiters of acceptable speech. In some countries, such as Saudi Arabia, content moderation has become justification for shutting down dissident speech.
When countries pressure platforms to root out vaguely defined harmful content and disregard the design vulnerabilities that promote that content’s amplification, they are treating a symptom and ignoring the disease. The question isn’t “How do we moderate?” Instead, it is “How do we promote design change that optimizes for citizen control, transparency, and privacy online?”—exactly the values that the early Internet promised to embody….(More)”.
Number of fact-checking outlets surges to 188 in more than 60 countries
Mark Stencel at Poynter: “The number of fact-checking outlets around the world has grown to 188 in more than 60 countries amid global concerns about the spread of misinformation, according to the latest tally by the Duke Reporters’ Lab.
Since the last annual fact-checking census in February 2018, we’ve added 39 more outlets that actively assess claims from politicians and social media, a 26% increase. The new total is also more than four times the 44 fact-checkers we counted when we launched our global database and map in 2014.
Globally, the largest growth came in Asia, which went from 22 to 35 outlets in the past year. Nine of the 27 fact-checking outlets that launched since the start of 2018 were in Asia, including six in India. Latin American fact-checking also saw a growth spurt in that same period, with two new outlets in Costa Rica, and others in Mexico, Panama and Venezuela.
The actual worldwide total is likely much higher than our current tally. That’s because more than a half-dozen of the fact-checkers we’ve added to the database since the start of 2018 began as election-related partnerships that involved the collaboration of multiple organizations. And some those election partners are discussing ways to continue or reactivate that work— either together or on their own.
Over the past 12 months, five separate multimedia partnerships enlisted more than 60 different fact-checking organizations and other news companies to help debunk claims and verify information for voters in Mexico, Brazil, Sweden,Nigeria and the Philippines. And the Poynter Institute’s International Fact-Checking Network assembled a separate team of 19 media outlets from 13 countries to consolidate and share their reporting during the run-up to last month’s elections for the European Parliament. Our database includes each of these partnerships, along with several others— but not each of the individual partners. And because they were intentionally short-run projects, three of these big partnerships appear among the 74 inactive projects we also document in our database.
Politics isn’t the only driver for fact-checkers. Many outlets in our database are concentrating efforts on viral hoaxes and other forms of online misinformation — often in coordination with the big digital platforms on which that misinformation spreads.
We also continue to see new topic-specific fact-checkers such as Metafact in Australia and Health Feedback in France— both of which launched in 2018 to focus on claims about health and medicine for a worldwide audience….(More)”.
Can tracking people through phone-call data improve lives?
Amy Maxmen in Nature: “After an earthquake tore through Haiti in 2010, killing more than 100,000 people, aid agencies spread across the country to work out where the survivors had fled. But Linus Bengtsson, a graduate student studying global health at the Karolinska Institute in Stockholm, thought he could answer the question from afar. Many Haitians would be using their mobile phones, he reasoned, and those calls would pass through phone towers, which could allow researchers to approximate people’s locations. Bengtsson persuaded Digicel, the biggest phone company in Haiti, to share data from millions of call records from before and after the quake. Digicel replaced the names and phone numbers of callers with random numbers to protect their privacy.
Bengtsson’s idea worked. The analysis wasn’t completed or verified quickly enough to help people in Haiti at the time, but in 2012, he and his collaborators reported that the population of Haiti’s capital, Port-au-Prince, dipped by almost one-quarter soon after the quake, and slowly rose over the next 11 months1. That result aligned with an intensive, on-the-ground survey conducted by the United Nations.
Humanitarians and researchers were thrilled. Telecommunications companies scrutinize call-detail records to learn about customers’ locations and phone habits and improve their services. Researchers suddenly realized that this sort of information might help them to improve lives. Even basic population statistics are murky in low-income countries where expensive household surveys are infrequent, and where many people don’t have smartphones, credit cards and other technologies that leave behind a digital trail, making remote-tracking methods used in richer countries too patchy to be useful.
Since the earthquake, scientists working under the rubric of ‘data for good’ have analysed calls from tens of millions of phone owners in Pakistan, Bangladesh, Kenya and at least two dozen other low- and middle-income nations. Humanitarian groups say that they’ve used the results to deliver aid. And researchers have combined call records with other information to try to predict how infectious diseases travel, and to pinpoint locations of poverty, social isolation, violence and more (see ‘Phone calls for good’)….(More)”.