Americans have lost faith in institutions. That’s not because of Trump or ‘fake news.’


Bill Bishop in the Washington Post: “…Trust in American institutions, however, has been in decline for some time. Trump is merely feeding on that sentiment.

The leaders of once-powerful institutions are desperate to resurrect the faith of the people they serve. They act like they have misplaced a credit card and must find the number so that a replacement can be ordered and then FedEx-ed, if possible overnight.

But that delivery truck is never coming. The decline in trust isn’t because of what the press (or politicians or scientists) did or didn’t do. Americans didn’t lose their trust because of some particular event or scandal. And trust can’t be regained with a new app or even an outbreak of competence. To believe so is to misunderstand what was lost.

In 1964, 3 out of 4 Americans trusted their government to do the right thing most of the time. By 1976, that number had dropped to 33 percent. It was a decline that political scientist Walter Dean Burnham described as “among the largest ever recorded in opinion surveys.”…

Everything about modern life works against community and trust. Globalization and urbanization put people in touch with the different and the novel. Our economy rewards initiative over conformity, so that the weight of convention and tradition doesn’t squelch the latest gizmo from coming to the attention of the next Bill Gates. Whereas parents in the 1920s said it was most important for their children to be obedient, that quality has declined in importance, replaced by a desire for independence and autonomy. Widespread education gives people the tools to make up their own minds. And technology offers everyone the chance to be one’s own reporter, broadcaster and commentator.

We have become, in Polish sociologist Zygmunt Bauman’s description, “artists of our own lives,” ignoring authorities and booting traditions while turning power over to the self. The shift in outlook has been all-encompassing. It has changed the purpose of marriage (once a practical arrangement, now a means of personal fulfillment). It has altered the relationship between citizens and the state (an all-volunteer fighting force replacing the military draft). It has transformed the understanding of art (craftsmanship and assessment are out; free-range creativity and self-promotion are in). It has even inverted the orders of humanity and divinity (instead of obeying a god, now we choose one).

People enjoy their freedoms. There’s no clamoring for a return to gray flannel suits and deferential housewives. Constant social retooling and choice come with costs, however. Without the authority and guidance of institutions to help order their lives, many people feel overwhelmed and adrift. “Depression is truly our modern illness,” writes French sociologist Alain Ehrenberg, with rates 20 to 30 times what they were just two generations ago.

Sustained collective action has also become more difficult. Institutions are turning to behavioral “nudges,” hoping to move an increasingly suspicious public to do what once could be accomplished by command or law. As groups based on tradition and consistent association dwindle, they are being replaced by “event communities,” temporary gatherings that come and go without long-term commitment (think Burning Man). The protests spawned by Trump’s election are more about passion than organization and focus. Today’s demonstrations are sometimes compared to civil-rights-era marches, but they have more in common with L.A.’s Sunset Strip riots of 1966, when more than 1,000 young people gathered to object to a 10 p.m. curfew. “There’s something happening here,” goes the Buffalo Springfield song “For What It’s Worth,” commemorating the riots. “What it is ain’t exactly clear.” In our new politics, expression is a purpose itself….(More)”.

Democracy at Work: Moving Beyond Elections to Improve Well-Being


Michael Touchton, Natasha Borges Sugiyama and Brian Wampler in the American Political Science Review: “How does democracy work to improve well-being? In this article, we disentangle the component parts of democratic practice—elections, civic participation, expansion of social provisioning, local administrative capacity—to identify their relationship with well-being. We draw from the citizenship debates to argue that democratic practices allow citizens to gain access to a wide range of rights, which then serve as the foundation for improving social well-being. Our analysis of an original dataset covering over 5,550 Brazilian municipalities from 2006 to 2013 demonstrates that competitive elections alone do not explain variation in infant mortality rates, one outcome associated with well-being. We move beyond elections to show how participatory institutions, social programs, and local state capacity can interact to buttress one another and reduce infant mortality rates. It is important to note that these relationships are independent of local economic growth, which also influences infant mortality. The result of our thorough analysis offers a new understanding of how different aspects of democracy work together to improve a key feature of human development….(More)”.

The Datafied Society. Studying Culture through Data


(Open Access) book edited by Mirko Tobias Schäfer & Karin van Es: “As more and more aspects of everyday life are turned into machine-readable data, researchers are provided with rich resources for researching society. The novel methods and innovative tools to work with this data not only require new knowledge and skills, but also raise issues concerning the practices of investigation and publication. This book critically reflects on the role of data in academia and society and challenges overly optimistic expectations considering data practices as means for understanding social reality. It introduces its readers to the practices and methods for data analysis and visualization and raises questions not only about the politics of data tools, but also about the ethics in collecting, sifting through data, and presenting data research. AUP S17 Catalogue text As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualization, and raising important political and ethical questions regarding its collection, handling, and presentation….(More)”.

The Techno-Politics of Data and Smart Devolution in City-Regions: Comparing Glasgow, Bristol, Barcelona, and Bilbao


Paper by Igor Calzada: “This paper explores the substantial effect that the critical understanding and techno-political consideration of data are having in some smart city strategies. Particularly, the paper presents some results of a comparative study of four cases of smart city transitions: Glasgow, Bristol, Barcelona, and Bilbao. Likewise, considering how relevant the city-regional path-dependency is in each territorial context, the paper will elucidate the notion of smart devolution as a key governance component that is enabling some cities to formulate their own smart city-regional governance policies and implement them by considering the role of the smart citizens as decision makers rather than mere data providers. The paper concludes by identifying an implicit smart city-regional governance strategy for each case based on the techno-politics of data and smart devolution….(More)”

Thesis, antithesis and synthesis: A constructive direction for politics and policy after Brexit and Trump


Geoff Mulgan at Nesta: “In the heady days of 1989, with communism collapsing and the Cold War seemingly over, the political theorist Francis Fukuyama declared that we were witnessing the “end of history” which had culminated in the triumph of liberal democracy and the free market.

Fukuyama was drawing on the ideas of German philosopher Georg Hegel, but of course, history didn’t come to an end, and, as recent events have shown, the Cold War was just sleeping, not dead.

Now, following the political convulsions of 2016, we’re at a very different turning point, which many are trying to make sense of. I want to suggest that we can again usefully turn to Hegel, but this time to his idea that history evolves in dialectical ways, with successive phases of thesis, antithesis and synthesis.

This framework fits well with where we stand today.  The ‘thesis’ that has dominated mainstream politics for the last generation – and continues to be articulated shrilly by many proponents – is the claim that the combination of globalisation, technological progress and liberalisation empowers the great majority.

The antithesis, which, in part, fuelled the votes for Brexit and Trump, as well as the rise of populist parties and populist authoritarian leaders in Europe and beyond, is the argument that this technocratic combination merely empowers a minority and disempowers the majority of citizens.

A more progressive synthesis – which I will outline – then has to address the flaws of the thesis and the grievances of the antithesis, in fields ranging from education and health to democracy and migration, dealing head on with questions of power and its distribution: questions about who has power, and who feels powerful….(More)”

Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media


Paper by Rupinder Paul Khandpur, Taoran Ji, Steve Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan: “Social media is often viewed as a sensor into various societal events such as disease outbreaks, protests, and elections. We describe the use of social media as a crowdsourced sensor to gain insight into ongoing cyber-attacks. Our approach detects a broad range of cyber-attacks (e.g., distributed denial of service (DDOS) attacks, data breaches, and account hijacking) in an unsupervised manner using just a limited fixed set of seed event triggers. A new query expansion strategy based on convolutional kernels and dependency parses helps model reporting structure and aids in identifying key event characteristics. Through a large-scale analysis over Twitter, we demonstrate that our approach consistently identifies and encodes events, outperforming existing methods….(More)”

The Paradox of Community Power: Cultural Processes and Elite Authority in Participatory Governance


Jeremy R. Levine in Social Forces: “From town halls to public forums, disadvantaged neighborhoods appear more “participatory” than ever. Yet increased participation has not necessarily resulted in increased influence. This article, drawing on a four-year ethnographic study of redevelopment politics in Boston, presents an explanation for the decoupling of participation from the promise of democratic decision-making. I find that poor urban residents gain the appearance of power and status by invoking and policing membership in “the community”—a boundary sometimes, though not always, implicitly defined by race. But this appearance of power is largely an illusion. In public meetings, government officials can reinforce their authority and disempower residents by exploiting the fact that the boundary demarcating “the community” lacks a standardized definition. When officials laud “the community” as an abstract ideal rather than a specific group of people, they reduce “the community process” to a bureaucratic procedure. Residents appear empowered, while officials retain ultimate decision-making authority. I use the tools of cultural sociology to make sense of these findings and conclude with implications for the study of participatory governance and urban inequality….(More)”.

How a Political Scientist Knows What Our Enemies Will Do (Often Before They Do)


Political scientists have now added rigorous mathematical techniques to their social-science toolbox, creating methods to explain—and even predict—the actions of adversaries, thus making society safer as well as smarter. Such techniques allowed the U.S. government to predict the fall of President Ferdinand Marcos of the Philippines in 1986, helping hatch a strategy to ease him out of office and avoid political chaos in that nation. And at Los Angeles International Airport a computer system predicts the tactical calculations of criminals and terrorists, making sure that patrols and checkpoints are placed in ways that adversaries can’t exploit.

The advances in solving the puzzle of human behavior represent a dramatic turnaround for the field of political science, notes Bruce Bueno de Mesquita, a professor of politics at New York University. “In the mid-1960s, I took a statistics course,” he recalls, “and my undergraduate advisor was appalled. He told me that I was wasting my time.” It took researchers many years of patient work, putting piece after piece of the puzzle of human behavior together, to arrive at today’s new knowledge. The result has been dramatic progress in the nation’s ability to protect its interests at home and abroad.

Social scientists have not abandoned the proven tools that Bueno de Mesquita and generations of other scholars acquired as they mastered their discipline. Rather, adding the rigor of mathematical analysis has allowed them to solve more of the puzzle. Mathematical models of human behavior let social scientists assemble a picture of the previously unnoticed forces that drive behavior—forces common to all situations, operating below the emotions, drama, and history that make each conflict unique….(More)”

Why big data may be having a big effect on how our politics plays out


 in The Conversation: “…big data… is an inconceivably vast mass of information, which at first glance would seem a giant mess; just white noise.

Unless you know how to decipher it.

According to a story first published in Zurich-based Das Magazin in December and more recently taken up by Motherboard, events such as Brexit and Trump’s ascendency may have been made possible through just such deciphering. The argument is that technology combining psychological profiling and data analysis may have played a pivotal part in exploiting unconscious bias at the individual voter level. The theory is this was used in the recent US election to increase or suppress votes to benefit particular candidates in crucial locations. It is claimed that the company behind this may be active in numerous countries.

The technology at play is based on the integration of a model of psychological profiling known as OCEAN. This uses the details contained within individuals’ digital footprints to create user-specific profiles. These map to the level of the individual, identifiable voter, who can then be manipulated by exploiting beliefs, preferences and biases that they might not even be aware of, but which their data has revealed about them in glorious detail.

As well as enabling the creation of tailored media content, this can also be used to create scripts of relevant talking points for campaign doorknockers to focus on, according to the address and identity of the householder to whom they are speaking.

This goes well beyond the scope and detail of previous campaign strategies. If the theory about the role of these techniques is correct, it signals a new landscape of political strategising. An active researcher in the field, when writing about the company behind this technology (which Trump paid for services during his election campaign), described the potential scale of such technologies:

Marketers have long tailored their placement of advertisements based on their target group, for example by placing ads aimed at conservative consumers in magazines read by conservative audiences. What is new about the psychological targeting methods implemented by Cambridge Analytica, however, is their precision and scale. According to CEO Alexander Nix, the company holds detailed psycho-demographic profiles of more than 220 million US citizens and used over 175,000 different ad messages to meet the unique motivations of their recipients….(More)”

Rules for a Flat World – Why Humans Invented Law and How to Reinvent It for a Complex Global Economy


Book by Gillian Hadfield: “… picks up where New York Times columnist Thomas Friedman left off in his influential 2005 book, The World is Flat. Friedman was focused on the infrastructure of communications and technology-the new web-based platform that allows business to follow the hunt for lower costs, higher value and greater efficiency around the planet seemingly oblivious to the boundaries of nation states. Hadfield peels back this technological platform to look at the ‘structure that lies beneath’—our legal infrastructure, the platform of rules about who can do what, when and how. Often taken for granted, economic growth throughout human history has depended at least as much on the evolution of new systems of rules to support ever-more complex modes of cooperation and trade as it has on technological innovation. When Google rolled out YouTube in over one hundred countries around the globe simultaneously, for example, it faced not only the challenges of technology but also the staggering problem of how to build success in the context of a bewildering and often conflicting patchwork of nation-state-based laws and legal systems affecting every aspect of the business-contract, copyright, encryption, censorship, advertising and more. Google is not alone. A study presented at the World Economic Forum in Davos in 2011 found that for global firms, the number one challenge of the modern economy is increasing complexity, and the number one source of complexity is law. Today, even our startups, the engines of economic growth, are global from Day One.

Put simply, the law and legal methods on which we currently rely have failed to evolve along with technology. They are increasingly unable to cope with the speed, complexity, and constant border-crossing of our new globally inter-connected environment. Our current legal systems are still rooted in the politics-based nation state platform on which the industrial revolution was built. Hadfield argues that even though these systems supported fantastic growth over the past two centuries, today they are too slow, costly, cumbersome and localized to support the exponential rise in economic complexity they fostered. …

The answer to our troubles with law, however, is not the one critics usually reach for—to have less of it. Recognizing that law provides critical infrastructure for the cooperation and collaboration on which economic growth is built is the first step, Hadfield argues, to building a legal environment that does more of what we need it to do and less of what we don’t. …(More)”