Commonism: A New Aesthetics of the Real


Book edited by Nico Dockx and Pascal Gielen: “After half a century of neoliberalism, a new radical, practice-based ideology is making its way from the margins: commonism, with an o in the middle. It is based on the values of sharing, common (intellectual) ownership and new social co-operations. Commoners assert that social relationships can replace money (contract) relationships. They advocate solidarity and they trust in peer-to-peer relationships to develop new ways of production.

Commonism maps those new ideological thoughts. How do they work and, especially, what is their aesthetics? How do they shape the reality of our living together? Is there another, more just future imaginable through the commons? What strategies and what aesthetics do commoners adopt? This book explores this new political belief system, alternating between theoretical analysis, wild artistic speculation, inspiring art examples, almost empirical observations and critical reflection….(More)”.

The Known Known


Book Review by Sue Halpern in The New York Review of Books of The Known Citizen: A History of Privacy in Modern America by Sarah E. Igo; Habeas Data: Privacy vs. the Rise of Surveillance Tech by Cyrus Farivar;  Beyond Abortion: Roe v. Wade and the Battle for Privacy by Mary Ziegler; Privacy’s Blueprint: The Battle to Control the Design of New Technologies by Woodrow Hartzog: “In 1999, when Scott McNealy, the founder and CEO of Sun Microsystems, declared, “You have zero privacy…get over it,” most of us, still new to the World Wide Web, had no idea what he meant. Eleven years later, when Mark Zuckerberg said that “the social norms” of privacy had “evolved” because “people [had] really gotten comfortable not only sharing more information and different kinds, but more openly and with more people,” his words expressed what was becoming a common Silicon Valley trope: privacy was obsolete.

By then, Zuckerberg’s invention, Facebook, had 500 million users, was growing 4.5 percent a month, and had recently surpassed its rival, MySpace. Twitter had overcome skepticism that people would be interested in a zippy parade of 140-character posts; at the end of 2010 it had 54 million active users. (It now has 336 million.) YouTube was in its fifth year, the micro-blogging platform Tumblr was into its third, and Instagram had just been created. Social media, which encouraged and relied on people to share their thoughts, passions, interests, and images, making them the Web’s content providers, were ascendant.

Users found it empowering to bypass, and even supersede, the traditional gatekeepers of information and culture. The social Web appeared to bring to fruition the early promise of the Internet: that it would democratize the creation and dissemination of knowledge. If, in the process, individuals were uploading photos of drunken parties, and discussing their sexual fetishes, and pulling back the curtain on all sorts of previously hidden personal behaviors, wasn’t that liberating, too? How could anyone argue that privacy had been invaded or compromised or effaced when these revelations were voluntary?

The short answer is that they couldn’t. And they didn’t. Users, who in the early days of social media were predominantly young, were largely guileless and unconcerned about privacy. In a survey of sixty-four of her students at Rochester Institute of Technology in 2006, Susan Barnes found that they “wanted to keep information private, but did not seem to realize that Facebook is a public space.” When a random sample of young people was asked in 2007 by researchers from the Pew Research Center if “they had any concerns about publicly posted photos, most…said they were not worried about risks to their privacy.” (This was largely before Facebook and other tech companies began tracking and monetizing one’s every move on- and offline.)

In retrospect, the tendencies toward disclosure and prurience online should not have been surprising….(More)”.

Attempting the Impossible: A Thoughtful Meditation on Technology


Book review by Akash Kapur of A Life in Code By David Auerbach in the New York Times: “What began as a vague apprehension — unease over the amount of time we spend on our devices, a sense that our children are growing up distracted — has, since the presidential election of 2016, transformed into something like outright panic. Pundits and politicians debate the perils of social media; technology is vilified as an instigator of our social ills, rather than a symptom. Something about our digital life seems to inspire extremes: all that early enthusiasm, the utopian fervor over the internet, now collapsed into fear and recriminations.

“Bitwise: A Life in Code,” David Auerbach’s thoughtful meditation on technology and its place in society, is a welcome effort to reclaim the middle ground. Auerbach, a former professional programmer, now a journalist and writer, is “cautiously positive toward technology.” He recognizes the very real damage it is causing to our political, cultural and emotional lives. But he also loves computers and data, and is adept at conveying the awe that technology can summon, the bracing sense of discovery that Arthur C. Clarke memorably compared to touching magic. “Much joy and satisfaction can be found in chasing after the secrets and puzzles of the world,” Auerbach writes. “I felt that joy first with computers.”

The book is a hybrid of memoir, technical primer and social history. It is perhaps best characterized as a survey not just of technology, but of our recent relationship to technology. Auerbach is in a good position to conduct this survey. He has spent much of his life on the front lines, playing around as a kid with Turtle graphics, working on Microsoft’s Messenger Service after college, and then reveling in Google’s oceans of data. (Among his lasting contributions, for which he does not express adequate contrition, is being the first, while at Microsoft, to introduce smiley face emoticons to America.) He writes well about databases and servers, but what’s really distinctive about this book is his ability to dissect Joyce and Wittgenstein as easily as C++ code. One of Auerbach’s stated goals is to break down barriers, or at least initiate a conversation, between technology and the humanities, two often irreconcilable domains. He suggests that we need to be bitwise (i.e., understand the world through the lens of computers) as well as worldwise. We must “be able to translate our ideas between the two realms.”…(More).

Following Fenno: Learning from Senate Candidates in the Age of Social Media and Party Polarization


David C.W. Parker  at The Forum: “Nearly 40 years ago, Richard Fenno published Home Style, a seminal volume explaining how members of Congress think about and engage in the process of representation. To accomplish his task, he observed members of Congress as they crafted and communicated their representational styles to the folks back home in their districts. The book, and Fenno’s ensuing research agenda, served as a clarion call to move beyond sophisticated quantitative analyses of roll call voting and elite interviews in Washington, D.C. to comprehend congressional representation. Instead, Fenno argued, political scientists are better served by going home with members of Congress where “their perceptions of their constituencies are shaped, sharpened, or altered” (Fenno 1978, p. xiii). These perceptions of constituencies fundamentally shape what members of Congress do at home and in Washington. If members of Congress are single-minded seekers of reelection, as we often assume, then political scientists must begin with the constituent relationship essential to winning reelection. Go home, Fenno says, to understand Congress.

There are many ways constituency relationships can be understood and uncovered; the preferred method for Fenno is participant observation, which he variously terms as “soaking and poking” or “just hanging around.” Although it sounds easy enough to sit and watch, good participant observation requires many considerations (as Fenno details in a thorough appendix to Home Style). In this appendix, and in another series of essays, Fenno grapples forthrightly with the tough choices researchers must consider when watching and learning from politicians.

In this essay, I respond to Fenno’s thought-provoking methodological treatise in Home Style and the ensuing collection of musings he published as Watching Politicians: Essays on Participant Observation. I do so for three reasons: First, I wish to reinforce Fenno’s call to action. As the study of political science has matured, it has moved away from engaging with politicians in the field across the various sub-fields, favoring statistical analyses. “Everyone cites Fenno, but no one does Fenno,” I recently opined, echoing another scholar commenting on Fenno’s work (Fenno 2013, p. 2; Parker 2015, p. 246). Unfortunately, that sentiment is supported by data (Grimmer 2013, pp. 13–19; Curry 2017). Although quantitative and formal analyses have led to important insights into the study of political behavior and institutions, politics is as important to our discipline as science. And in politics, the motives and concerns of people are important to witness, not just because they add complexity and richness to our stories, but because they aid in theory generation.1 Fenno’s study was exploratory, but is full of key theoretical insights relevant to explaining how members of Congress understand their constituencies and the ensuing political choices they make.

Second, to “do” participant observation requires understanding the choices the methodology imposes. This necessitates that those who practice this method of discovery document and share their experiences (Lin 2000). The more the prospective participant observer can understand the size of the choice set she faces and the potential consequences at each decision point in advance, the better her odds of avoiding unanticipated consequences with both immediate and long-term research ramifications. I hope that adding my cumulative experiences to this ongoing methodological conversation will assist in minimizing both unexpected and undesirable consequences for those who follow into the field. Fenno is open about his own choices, and the difficult decisions he faced as a participant observer. Encouraging scholars to engage in participant observation is only half the battle. The other half is to encourage interested scholars to think about those same choices and methodological considerations, while acknowledging that context precludes a one-size fits all approach. Fenno’s choices may not be your choices – and that might be just fine depending upon your circumstances. Fenno would wholeheartedly agree.

Finally, Congress and American politics have changed considerably from when Fenno embarked on his research in Home Style. At the end of his introduction, Fenno writes that “this book is about the early to mid-1970s only. These years were characterized by the steady decline of strong national party attachments and strong local party organizations. … Had these conditions been different, House members might have behaved differently in their constituencies” (xv). Developments since Fenno put down his pen include political parties polarizing to an almost unprecedented degree, partisan attachments strengthening among voters, and technology emerging to change fundamentally how politicians engage with constituents. In light of this evolution of political culture in Washington and at home, it is worth considering the consequences for the participant-observation research approach. Many have asked me if it is still possible to do such work in the current political environment, and if so, what are the challenges facing political scientists going into the field? This essay provides some answers.

I proceed as follows: First, I briefly discuss my own foray into the world of participant observation, which occurred during the 2012 Senate race in Montana. Second, I consider two important methodological considerations raised by Fenno: access and participation as an observer. Third, I relate these two issues to a final consideration: the development of social media and the consequences of this for the participant observation enterprise. Finally, I show the perils of social science divorced from context, as demonstrated by the recent Stanford-Dartmouth mailer scandal. I conclude with not just a plea for us to pick up where Fenno has left off, but by suggesting that more thinking like a participant observer would benefit the discipline as whole by reminding us of our ethical obligations as researchers to each other, and to the political community that we study…(More)”.

Towards Digital Enlightenment: Essays on the Dark and Light Sides of the Digital Revolution


Book edited by Dirk Helbing: “This new collection of essays follows in the footsteps of the successful volume Thinking Ahead – Essays on Big Data, Digital Revolution, and Participatory Market Society, published at a time when our societies were on a path to technological totalitarianism, as exemplified by mass surveillance reported by Edward Snowden and others.

Meanwhile the threats have diversified and tech companies have gathered enough data to create detailed profiles about almost everyone living in the modern world – profiles that can predict our behavior better than our friends, families, or even partners. This is not only used to manipulate peoples’ opinions and voting behaviors, but more generally to influence consumer behavior at all levels. It is becoming increasingly clear that we are rapidly heading towards a cybernetic society, in which algorithms and social bots aim to control both the societal dynamics and individual behaviors….(More)”.

Farsighted


Book by Steven Johnson: “Big, life-altering decisions matter so much more than the decisions we make every day, and they’re also the most difficult: where to live, whom to marry, what to believe, whether to start a company, how to end a war. There’s no one-size-fits-all approach for addressing these kinds of conundrums.

Steven Johnson’s classic Where Good Ideas Come From inspired creative people all over the world with new ways of thinking about innovation. In Farsighted, he uncovers powerful tools for honing the important skill of complex decision-making. While you can’t model a once-in-a-lifetime choice, you can model the deliberative tactics of expert decision-makers. These experts aren’t just the master strategists running major companies or negotiating high-level diplomacy. They’re the novelists who draw out the complexity of their characters’ inner lives, the city officials who secure long-term water supplies, and the scientists who reckon with future challenges most of us haven’t even imagined. The smartest decision-makers don’t go with their guts. Their success relies on having a future-oriented approach and the ability to consider all their options in a creative, productive way.

Through compelling stories that reveal surprising insights, Johnson explains how we can most effectively approach the choices that can chart the course of a life, an organization, or a civilization. Farsighted will help you imagine your possible futures and appreciate the subtle intelligence of the choices that shaped our broader social history….(More)”.

The Blockchain and the New Architecture of Trust


Book by Kevin Werbach: “The blockchain entered the world on January 3, 2009, introducing an innovative new trust architecture: an environment in which users trust a system—for example, a shared ledger of information—without necessarily trusting any of its components. The cryptocurrency Bitcoin is the most famous implementation of the blockchain, but hundreds of other companies have been founded and billions of dollars invested in similar applications since Bitcoin’s launch. Some see the blockchain as offering more opportunities for criminal behavior than benefits to society. In this book, Kevin Werbach shows how a technology resting on foundations of mutual mistrust can become trustworthy.

The blockchain, built on open software and decentralized foundations that allow anyone to participate, seems like a threat to any form of regulation. In fact, Werbach argues, law and the blockchain need each other. Blockchain systems that ignore law and governance are likely to fail, or to become outlaw technologies irrelevant to the mainstream economy. That, Werbach cautions, would be a tragic waste of potential. If, however, we recognize the blockchain as a kind of legal technology, which shapes behavior in new ways, it can be harnessed to create tremendous business and social value….(More)”.

Remembering and Forgetting in the Digital Age


Book by Thouvenin, Florent (et al.): “… examines the fundamental question of how legislators and other rule-makers should handle remembering and forgetting information (especially personally identifiable information) in the digital age. It encompasses such topics as privacy, data protection, individual and collective memory, and the right to be forgotten when considering data storage, processing and deletion. The authors argue in support of maintaining the new digital default, that (personally identifiable) information should be remembered rather than forgotten.

The book offers guidelines for legislators as well as private and public organizations on how to make decisions on remembering and forgetting personally identifiable information in the digital age. It draws on three main perspectives: law, based on a comprehensive analysis of Swiss law that serves as an example; technology, specifically search engines, internet archives, social media and the mobile internet; and an interdisciplinary perspective with contributions from various disciplines such as philosophy, anthropology, sociology, psychology, and economics, amongst others.. Thanks to this multifaceted approach, readers will benefit from a holistic view of the informational phenomenon of “remembering and forgetting”.

This book will appeal to lawyers, philosophers, sociologists, historians, economists, anthropologists, and psychologists among many others. Such wide appeal is due to its rich and interdisciplinary approach to the challenges for individuals and society at large with regard to remembering and forgetting in the digital age…(More)”

Winners Take All


Book by Anand Giridharadas: “… takes us into the inner sanctums of a new gilded age, where the rich and powerful fight for equality and justice any way they can–except ways that threaten the social order and their position atop it. We see how they rebrand themselves as saviors of the poor; how they lavishly reward “thought leaders” who redefine “change” in winner-friendly ways; and how they constantly seek to do more good, but never less harm. We hear the limousine confessions of a celebrated foundation boss; witness an American president hem and haw about his plutocratic benefactors; and attend a cruise-ship conference where entrepreneurs celebrate their own self-interested magnanimity.

Giridharadas asks hard questions: Why, for example, should our gravest problems be solved by the unelected upper crust instead of the public institutions it erodes by lobbying and dodging taxes? He also points toward an answer: Rather than rely on scraps from the winners, we must take on the grueling democratic work of building more robust, egalitarian institutions and truly changing the world. A call to action for elites and everyday citizens alike….(More)”.

Data Science Thinking: The Next Scientific, Technological and Economic Revolution


Book by Longbing Cao: “This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education?  How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists?

Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.

The topics cover an extremely wide spectrum of essential and relevant aspects of data science, spanning its evolution, concepts, thinking, challenges, discipline, and foundation, all the way to industrialization, profession, education, and the vast array of opportunities that data science offers. The book’s three parts each detail layers of these different aspects….(More)”.