They Are Watching You—and Everything Else on the Planet


Cover article by Robert Draper for Special Issue of the National Geographic: “Technology and our increasing demand for security have put us all under surveillance. Is privacy becoming just a memory?…

In 1949, amid the specter of European authoritarianism, the British novelist George Orwell published his dystopian masterpiece 1984, with its grim admonition: “Big Brother is watching you.” As unsettling as this notion may have been, “watching” was a quaintly circumscribed undertaking back then. That very year, 1949, an American company released the first commercially available CCTV system. Two years later, in 1951, Kodak introduced its Brownie portable movie camera to an awestruck public.

Today more than 2.5 trillion images are shared or stored on the Internet annually—to say nothing of the billions more photographs and videos people keep to themselves. By 2020, one telecommunications company estimates, 6.1 billion people will have phones with picture-taking capabilities. Meanwhile, in a single year an estimated 106 million new surveillance cameras are sold. More than three million ATMs around the planet stare back at their customers. Tens of thousands of cameras known as automatic number plate recognition devices, or ANPRs, hover over roadways—to catch speeding motorists or parking violators but also, in the case of the United Kingdom, to track the comings and goings of suspected criminals. The untallied but growing number of people wearing body cameras now includes not just police but also hospital workers and others who aren’t law enforcement officers. Proliferating as well are personal monitoring devices—dash cams, cyclist helmet cameras to record collisions, doorbells equipped with lenses to catch package thieves—that are fast becoming a part of many a city dweller’s everyday arsenal. Even less quantifiable, but far more vexing, are the billions of images of unsuspecting citizens captured by facial-recognition technology and stored in law enforcement and private-sector databases over which our control is practically nonexistent.

Those are merely the “watching” devices that we’re capable of seeing. Presently the skies are cluttered with drones—2.5 million of which were purchased in 2016 by American hobbyists and businesses. That figure doesn’t include the fleet of unmanned aerial vehicles used by the U.S. government not only to bomb terrorists in Yemen but also to help stop illegal immigrants entering from Mexico, monitor hurricane flooding in Texas, and catch cattle thieves in North Dakota. Nor does it include the many thousands of airborne spying devices employed by other countries—among them Russia, China, Iran, and North Korea.

We’re being watched from the heavens as well. More than 1,700 satellites monitor our planet. From a distance of about 300 miles, some of them can discern a herd of buffalo or the stages of a forest fire. From outer space, a camera clicks and a detailed image of the block where we work can be acquired by a total stranger….

This is—to lift the title from another British futurist, Aldous Huxley—our brave new world. That we can see it coming is cold comfort since, as Carnegie Mellon University professor of information technology Alessandro Acquisti says, “in the cat-and-mouse game of privacy protection, the data subject is always the weaker side of the game.” Simply submitting to the game is a dispiriting proposition. But to actively seek to protect one’s privacy can be even more demoralizing. University of Texas American studies professor Randolph Lewis writes in his new book, Under Surveillance: Being Watched in Modern America, “Surveillance is often exhausting to those who really feel its undertow: it overwhelms with its constant badgering, its omnipresent mysteries, its endless tabulations of movements, purchases, potentialities.”

The desire for privacy, Acquisti says, “is a universal trait among humans, across cultures and across time. You find evidence of it in ancient Rome, ancient Greece, in the Bible, in the Quran. What’s worrisome is that if all of us at an individual level suffer from the loss of privacy, society as a whole may realize its value only after we’ve lost it for good.”…(More)”.

Extracting crowd intelligence from pervasive and social big data


Introduction by Leye Wang, Vincent Gauthier, Guanling Chen and Luis Moreira-Matias of Special Issue of the Journal of Ambient Intelligence and Humanized Computing: “With the prevalence of ubiquitous computing devices (smartphones, wearable devices, etc.) and social network services (Facebook, Twitter, etc.), humans are generating massive digital traces continuously in their daily life. Considering the invaluable crowd intelligence residing in these pervasive and social big data, a spectrum of opportunities is emerging to enable promising smart applications for easing individual life, increasing company profit, as well as facilitating city development. However, the nature of big data also poses fundamental challenges on the techniques and applications relying on the pervasive and social big data from multiple perspectives such as algorithm effectiveness, computation speed, energy efficiency, user privacy, server security, data heterogeneity and system scalability. This special issue presents the state-of-the-art research achievements in addressing these challenges. After the rigorous review process of reviewers and guest editors, eight papers were accepted as follows.

The first paper “Automated recognition of hypertension through overnight continuous HRV monitoring” by Ni et al. proposes a non-invasive way to differentiate hypertension patients from healthy people with the pervasive sensors such as a waist belt. To this end, the authors train a machine learning model based on the heart rate data sensed from waists worn by a crowd of people, and the experiments show that the detection accuracy is around 93%.

The second paper “The workforce analyzer: group discovery among LinkedIn public profiles” by Dai et al. describes two users’ group discovery methods among LinkedIn public profiles. One is based on K-means and another is based on SVM. The authors contrast results of both methods and provide insights about the trending professional orientations of the workforce from an online perspective.

The third paper “Tweet and followee personalized recommendations based on knowledge graphs” by Pla Karidi et al. present an efficient semantic recommendation method that helps users filter the Twitter stream for interesting content. The foundation of this method is a knowledge graph that can represent all user topics of interest as a variety of concepts, objects, events, persons, entities, locations and the relations between them. An important advantage of the authors’ method is that it reduces the effects of problems such as over-recommendation and over-specialization.

The fourth paper “CrowdTravel: scenic spot profiling by using heterogeneous crowdsourced data” by Guo et al. proposes CrowdTravel, a multi-source social media data fusion approach for multi-aspect tourism information perception, which can provide travelling assistance for tourists by crowd intelligence mining. Experiments over a dataset of several popular scenic spots in Beijing and Xi’an, China, indicate that the authors’ approach attains fine-grained characterization for the scenic spots and delivers excellent performance.

The fifth paper “Internet of Things based activity surveillance of defence personnel” by Bhatia et al. presents a comprehensive IoT-based framework for analyzing national integrity of defence personnel with consideration to his/her daily activities. Specifically, Integrity Index Value is defined for every defence personnel based on different social engagements, and activities for detecting the vulnerability to national security. In addition to this, a probabilistic decision tree based automated decision making is presented to aid defence officials in analyzing various activities of a defence personnel for his/her integrity assessment.

The sixth paper “Recommending property with short days-on-market for estate agency” by Mou et al. proposes an estate with short days-on-market appraisal framework to automatically recommend those estates using transaction data and profile information crawled from websites. Both the spatial and temporal characteristics of an estate are integrated into the framework. The results show that the proposed framework can estimate accurately about 78% estates.

The seventh paper “An anonymous data reporting strategy with ensuring incentives for mobile crowd-sensing” by Li et al. proposes a system and a strategy to ensure anonymous data reporting while ensuring incentives simultaneously. The proposed protocol is arranged in five stages that mainly leverage three concepts: (1) slot reservation based on shuffle, (2) data submission based on bulk transfer and multi-player dc-nets, and (3) incentive mechanism based on blind signature.

The last paper “Semantic place prediction from crowd-sensed mobile phone data” by Celik et al. semantically classifes places visited by smart phone users utilizing the data collected from sensors and wireless interfaces available on the phones as well as phone usage patterns, such as battery level, and time-related information, with machine learning algorithms. For this study, the authors collect data from 15 participants at Galatasaray University for 1 month, and try different classification algorithms such as decision tree, random forest, k-nearest neighbour, naive Bayes, and multi-layer perceptron….(More)”.

Data-Intensive Approaches To Creating Innovation For Sustainable Smart Cities


Science Trends: “Located at the complex intersection of economic development and environmental change, cities play a central role in our efforts to move towards sustainability. Reducing air and water pollution, improving energy efficiency while securing energy supply, and minimizing vulnerabilities to disruptions and disturbances are interconnected and pose a formidable challenge, with their dynamic interactions changing in highly complex and unpredictable manners….

The Beijing City Lab demonstrates the usefulness of open urban data in mapping urbanization with a fine spatiotemporal scale and reflecting social and environmental dimensions of urbanization through visualization at multiple scales.

The basic principle of open data will generate significant opportunities for promoting inter-disciplinary and inter-organizational research, producing new data sets through the integration of different sources, avoiding duplication of research, facilitating the verification of previous results, and encouraging citizen scientists and crowdsourcing approaches. Open data also is expected to help governments promote transparency, citizen participation, and access to information in policy-making processes.

Despite a significant potential, however, there still remain numerous challenges in facilitating innovation for urban sustainability through open data. The scope and amount of data collected and shared are still limited, and the quality control, error monitoring, and cleaning of open data is also indispensable in securing the reliability of the analysis. Also, the organizational and legal frameworks of data sharing platforms are often not well-defined or established, and it is critical to address the interoperability between various data standards, balance between open and proprietary data, and normative and legal issues such as the data ownership, personal privacy, confidentiality, law enforcement, and the maintenance of public safety and national security….

These findings are described in the article entitled Facilitating data-intensive approaches to innovation for sustainability: opportunities and challenges in building smart cities, published in the journal Sustainability Science. This work was led by Masaru Yarime from the City University of Hong Kong….(More)”.

Social Theory After the Internet: Media, Technology and Globalization


(Open Access) Book by Ralph Schroeder: “The internet has fundamentally transformed society in the past 25 years, yet existing theories of mass or interpersonal communication do not work well in understanding a digital world. Nor has this understanding been helped by disciplinary specialization and a continual focus on the latest innovations. Ralph Schroeder takes a longer-term view, synthesizing perspectives and findings from various social science disciplines in four countries: the United States, Sweden, India and China. His comparison highlights, among other observations, that smartphones are in many respects more important than PC-based internet uses.

Social Theory after the Internet focuses on everyday uses and effects of the internet, including information seeking and big data, and explains how the internet has gone beyond traditional media in, for example, enabling Donald Trump and Narendra Modi to come to power. Schroeder puts forward a sophisticated theory of the role internet plays, and how both technological and social forces shape its significance. He provides a sweeping and penetrating study, theoretically ambitious and at the same time always empirically grounded….(More)”.

Inside China’s Vast New Experiment in Social Ranking


Mara Hvistendahl at Wired: “…During the past 30 years, by contrast, China has grown to become the world’s second largest economy without much of a functioning credit system at all. The People’s Bank of China, the country’s central banking regulator, maintains records on millions of consumers, but they often contain little or no information. Until recently, it was difficult to get a credit card with any bank other than your own. Consumers mainly used cash….

In 2013, Ant Financial executives retreated to the mountains outside Hangzhou to discuss creating a slew of new products; one of them was Zhima Credit. The executives realized that they could use the data-collecting powers of Alipay to calculate a credit score based on an individual’s activities. “It was a very natural process,” says You Xi, a Chinese business reporter who detailed this pivotal meeting in a recent book, Ant Financial. “If you have payment data, you can assess the credit of a person.” And so the tech company began the process of creating a score that would be “credit for everything in your life,” as You explains it.

Ant Financial wasn’t the only entity keen on using data to measure people’s worth. Coincidentally or not, in 2014 the Chinese government announced it was developing what it called a system of “social credit.” In 2014, the State Council, China’s governing cabinet, publicly called for the establishment of a nationwide tracking system to rate the reputations of individuals, businesses, and even government officials. The aim is for every Chinese citizen to be trailed by a file compiling data from public and private sources by 2020, and for those files to be searchable by fingerprints and other biometric characteristics. The State Council calls it a “credit system that covers the whole society.”…

In 2015 Ant Financial was one of eight tech companies granted approval from the People’s Bank of China to develop their own private credit scoring platforms. Zhima Credit appeared in the Alipay app shortly after that. The service tracks your behavior on the app to arrive at a score between 350 and 950, and offers perks and rewards to those with good scores. Zhima Credit’s algorithm considers not only whether you repay your bills but also what you buy, what degrees you hold, and the scores of your friends. Like Fair and Isaac decades earlier, Ant Financial executives talked publicly about how a data-driven approach would open up the financial system to people who had been locked out, like students and rural Chinese. For the more than 200 million Alipay users who have opted in to Zhima Credit, the sell is clear: Your data will magically open doors for you….

Often, data brokers are flat-out wrong. The data broker Acxiom, which provides some information about what it collects on a site called AboutTheData.com, has me pegged as a single woman with a high school education and a “likely Las Vegas gambler,” when in fact I’m married, have a master’s degree, and have never even bought a lottery ticket. But it is impossible to challenge these assessments, since we’re never told that they exist. I know more about Zhima Credit’s algorithm than I do about how US data brokers rate me. This is, as Pasquale points out in his book The Black Box Society, essentially a “one-way mirror.”…(More)”.

The nation state goes virtual


Tom Symons at Nesta’s Predictions for 2018: “As the world changes, people expect their governments and public services to do so too. When it’s easy to play computer games with someone on the other side of the world, or set up a company bank account in five minutes, there is an expectation that paying taxes, applying for services or voting should be too…..

To add to this, large political upheavals such as Brexit and the election of Donald Trump have left some people feeling alienated from their national identity. Since the the UK voted to leave the EU, demand for Irish passports has increased by 50 per cent, a sign that people feel dissatisfied by the constraints of geographically determined citizenship when they can no longer relate to their national identity.

In response, some governments see these changes as an opportunity to reconceptualise what we mean by a nation state.

The e-Residency offer

The primary actor in this disruption is Estonia, which leads the world in digital government. In 2015 they introduced an e-Residency, allowing anyone anywhere in the world to receive a government-issued digital identity. The e-Residency gives people access to digital public services and the ability to register and run online businesses from the country, in exactly the same way as someone born in Estonia. As of November 2017, over 27,000 people have applied to be Estonian e-Residents, and they have established over 4,200 companies. Estonia aims to have ten million virtual residents by 2025….

While Estonia is a sovereign nation using technology to redefine itself, there are movements taking advantage of decentralising technologies in a bid to do away with the nation state altogether. Bitnation is a blockchain-based technology which enables people to create and join virtual nations. This allows people to agree their own social contracts between one another, using smart contract technology, removing the need for governments as an administrator or mediator. Since it began in 2014, it has been offering traditional government services, such as notaries, dispute resolution, marriages and voting systems, without the need for a middleman.

As of November 2017, there are over 10,000 Bitnation citizens. …

As citizens, we may be able to educate our children in Finland, access healthcare from South Korea and run our businesses in New Zealand, all without having to leave the comfort of our homes. Governments may see this as means of financial sustainability in the longer term, generating income by selling such services to a global population instead of centralised taxation systems levied on a geographic population.

Such a model has been described as ‘nation-as-a-service’, and could mean countries offering different tiers of citizenship, with taxes based on the number of services used, or tier of citizenship chosen. This could also mean multiple citizenships, including of city-states, as well as nations….

This is the moment for governments to start taking the full implications of the digital age seriously. From electronic IDs and data management through to seamless access to services, citizens will only demand better digital services. Countries such as Azerbaijan, are already developing their own versions of the e-Residency. Large internet platforms such as Amazon are gearing up to replace entire government functions. If governments don’t grasp the nettle, they may find themselves left behind by technology and other countries which won’t wait around for them….(More)”.

The Engineers and the Political System


Aaron Timms at the Los Angeles Review of Books: “Engineers enjoy a prestige in China that connects them to political power far more directly than in the United States. ….America, by contrast, has historically been governed by lawyers. That remains true today: there are 218 lawyers in Congress and 208 former businesspeople, according to the Congressional Research Service, but only eight engineers. (Science is even more severely underrepresented, with just three members in the House.) It’s unlikely that that balance will tilt meaningfully in favor of STEM-ers in the near term. But in another sense, the growing cultural capital of the engineers will inevitably translate to political power, whatever its form.

The engineering profession today is broad, much broader than it was in 1921 when Thorstein Veblen published The Engineers and the Price System, his classic pamphlet on industrial sabotage and government by technocrats. Engineering has outgrown the four traditional branches (chemical, civil, electrical, mechanical) to include all the professions in which the laws of mathematics and science are applied to real-world problems…..In a way that was never the case for previous generations, engineering today is politics, and politics engineering. Power is coming for the engineers, but are the engineers ready for power?

…tech smarts do not port easily to politics. However violently Silicon Valley pushes the story that it’s here to fix things for all of us, building an algorithm and coming up with intelligent ways to improve society are not the same thing. The triumph of the engineers is that they’ve managed to convince so many people otherwise.

This victory is more than simply economic or mechanical; engineering has also come to permeate the language of politics itself. Zuckerberg’s doe-eyed both-sidesism is the latest expression of the idea, nourished through the Clinton years and the height of the evidence-based policy movement, that facts offer the surest solution to knotty political problems. This is, we already know, a temple built on sand, ignoring as it does the intractably political nature of politics; hence the failure of “figures” and “facts” and “evidence” to do anything to shift positions on gun reform or voter fraud. But it’s a temple with enduring bipartisan appeal, and the engineers have come along at the right moment to give it a fresh lick of paint. If thinking like an engineer is the new way to do business, engineerialism, in politics, is the new centrism — rule by experts remarketed for the innovation age. It might be generations before a Veblenian technocrat calls the White House home, but no presidency can match the power engineers already have — a power to define progress, a power without check….(More)”.

The Illusion of Freedom in the Digital Age


Mark Leonard at Project Syndicate: “Over the last few weeks, media around the world have been saturated with stories about how technology is destroying politics. In autocracies like China, the fear is of ultra-empowered Big Brother states, like that in George Orwell’s 1984. In democracies like the United States, the concern is that tech companies will continue to exacerbate political and social polarization by facilitating the spread of disinformation and creating ideological “filter bubbles,” leading to something resembling Aldous Huxley’s Brave New World….

Big tech companies, worth more than some countries’ GDP, seek to maximize profits, not social welfare. Yet, at a time when attention is supplanting money as the most valuable commodity, the impact of their decisions is far-reaching. James Williams, a Google engineer turned academic, argues that the digital age has unleashed fierce competition for our attention, and few have benefited more than Trump, who is for the Internet what Ronald Reagan was for television….

In the digital age, the biggest danger is not that technology will put free and autocratic societies increasingly at odds with one another. It is that the worst fears of both Orwell and Huxley will become manifest in both types of system, creating a different kind of dystopia. With many of their deepest desires being met, citizens will have the illusion of freedom and empowerment. In reality, their lives, the information they consume, and the choices they make will be determined by algorithms and platforms controlled by unaccountable corporate or government elites….(More)”.

Smart city initiatives in Africa


Eyerusalem Siba and Mariama Sow at Brookings: “…African countries are presently in the early stages of their urbanization process. Though Africa was the least urbanized region in the world in 2015—only 40 percent of sub-Saharan Africa’s population lived in cities—it is now the second-fastest urbanizing region in the world (behind Asia). Population experts predict that by 2020, Africa will be on top. Given this rapid growth, now is the time for African policymakers to incorporate smart cities into their urbanization strategies….

Rwanda is one of the pioneers of smart city engineering in Africa. Modernizing Kigali is part of a wider effort by the Rwanda government to increase and simplify access to public services. The Irembo platform launched by the government, seeks to create e-government services to allow citizens to complete public processes online, such as registering for driving exams and requesting birth certificates.

In addition, the country is active in involving the private sector in its goal towards creating smart cities. In mid-May, the Rwandan government launched a partnership with Nokia and SRG in order to deploy smart city technology to “improve the lifestyle and social sustainability of [Rwandan] citizens.” The project involves investment in network connectivity and sensor deployment to improve public safety, waste management, utility management, and health care, among other functions.

Rwanda’s smart city rollout has not been perfect, though, proving that smart city development can hit some snags: For example, in 2016, the city started rolling out buses with free Wi-Fi and cashless payment service, but the buses have had connectivity issues related to the Korea-built technology’s inability to adapt to local conditions.

In addition, there has been criticism around the lack of inclusivity of certain smart cities projects. Kigali’s Smart Neighborhood project, Vision City, creates a tech-enabled neighborhood with solar powered street lamps and free Wi-Fi in the town square. Critics, though, state that the project ignored the socioeconomic realities of a city where 80 percent of its population lives in slums with monthly earnings below $240 (Vision City Homes cost $160,000). (Rwandan planners have responded stating that affordable housing will be built in the later phases of the project.)

POLICY RECOMMENDATIONS

As seen in the case of Rwanda, smart cities—while creating opportunities for innovation and better livelihoods—face challenges during and after their development. City planners and policymakers must keep the big picture in mind when promoting smart cities, emphasizing well-implemented infrastructure and citizen needs. Technology for technology’s sake will not create solutions to some of Africa’s cities biggest challenges, including high-cost, low-quality, and inaccessible services. Indeed, in a 2015 issue paper, UN-Habitat urges city planners to avoid viewing smart cities as the final product. In particular, UN-Habitat calls for smart cities to minimize transport needs, reduce service delivery costs, and maximize land use. These moves, among others, will ensure that the city reduces congestion, creates spaces dedicated to recreational uses, enhances service delivery, and, thus, improves its citizen’s quality of life…(More)”.

Does protest really work in cosy democracies?


Steve Crawshaw at LSE Impact Blog: “…If it is possible for peaceful crowds to force the collapse of the Berlin Wall or to unseat a Mubarak, how easy it should it be for protesters to persuade a democratically elected leader to retreat from “mere” bad policy? In truth, not easy at all. Two million marched in the UK against the Iraq War in 2003 – and it made not a blind bit of difference with Tony Blair’s determination to proceed with a war that the UN Secretary-General described as illegal. Blair was re-elected, two years later.

After the inauguration of Donald Trump in January 2017, millions took part in the series of Women’s Marches in the United States and around the world. It seemed – it was – a powerful defining moment. And yet, at least in the short-term, those remarkable protests were water off the presidential duck’s back. His response was mockery. In some respects, Trump could afford to mock. A man who has received 63 million votes is in a stronger position than the unelected leader who has to threaten or use violence to stay in power.

And yet.

One thing that protest in an authoritarian and a democratic context have in common is that the impact of protest – including delayed impact – remains uncertain, both for those who protest and those who are protested against.

Vaclav Havel argued that it was worth “living in truth” – speaking truth to power – even without any certainty of outcome. “Those that say individuals are not capable of changing anything are only looking for excuses.” In that context, what is perhaps most unacceptable is to mock those who take risks, and seek change. Lord Charles Powell, former adviser to Margaret Thatcher, for example explained to the umbrella protesters in Hong Kong in 2013 that they were foolish and naive. They should, he told them, learn to live with the “small black cloud” of anti-democratic pressures from Beijing. The protesters failed to heed Powell’s complacent message. In the words of Joshua Wong, on his way back to jail earlier in 2017: “You can lock up our bodies, but not our minds.”

Scepticism and failure are linked, as the Egyptian activist Asmaa Mahfouz made clear in a powerful video which helped trigger the uprising in 2011. The 26-year-old declared: ‘”Whoever says it is not worth it because there will only be a handful or people, I want to tell him, “You are the reason for this.” Sitting at home and just watching us on the news or Facebook leads to our humiliation.’ The video went viral. Millions went out. The rest was history.

Even in a democracy, that same it-can’t-be-done logic sucks us in more often, perhaps, than we realize….(More)”.