Is There a Crisis of Truth?


Essay by Steven Shapin: “…It seems irresponsible or perverse to reject the idea that there is a Crisis of Truth. No time now for judicious reflection; what’s needed is a full-frontal attack on the Truth Deniers. But it’s good to be sure about the identity of the problem before setting out to solve it. Conceiving the problem as a Crisis of Truth, or even as a Crisis of Scientific Authority, is not, I think, the best starting point. There’s no reason for complacency, but there is reason to reassess which bits of our culture are in a critical state and, once they are securely identified, what therapies are in order.

Start with the idea of Truth. What could be more important, especially if the word is used — as it often is in academic writing — as a placeholder for Reality? But there’s a sort of luminous glow around the notion of Truth that prejudges and pre-processes the attitudes proper to entertain about it. The Truth goes marching on. God is Truth. The Truth shall set you free. Who, except the mad and the malevolent, could possibly be against Truth? It was, after all, Pontius Pilate who asked, “What is Truth?” — and then went off to wash his hands.

So here’s an only apparently pedantic hint about how to construe Truth and also about why our current problem might not be described as a Crisis of Truth. In modern common usage, Truth is a notably uncommon term. The natural home of Truth is not in the workaday vernacular but in weekend, even language-gone-on-holiday, scenes. The notion of Truth tends to crop up when statements about “what’s the case” are put under pressure, questioned, or picked out for celebration. Statements about “the case” can then become instances of the Truth, surrounded by an epistemic halo. Truth is invoked when we swear to tell it — “the whole Truth and nothing but” — in legal settings or in the filling-out of official forms when we’re cautioned against departing from it; or in those sorts of school and bureaucratic exams where we’re made to choose between True and False. Truth is brought into play when it’s suspected that something of importance has been willfully obscured — as when Al Gore famously responded to disbelief in climate change by insisting on “an inconvenient truth” or when we demand to be told the Truth about the safety of GMOs. [2]

Truth-talk appears in such special-purpose forums as valedictory statements where scientists say that their calling is a Search for Truth. And it’s worth considering the difference between saying that and saying they’re working to sequence a breast cancer gene or to predict when a specific Indonesian volcano is most likely to erupt. Truth stands to Matters-That-Are-the-Case roughly as incantations, proverbs, and aphorisms stand to ordinary speech. Truth attaches more to some formal intellectual practices than to others — to philosophy, religion, art, and, of course, science, even though in science there is apparent specificity. Compare those sciences that seem good fits with the notion of a Search for Truth to those that seem less good fits: theoretical physics versus seismology, academic brain science versus research on the best flavoring for a soft drink. And, of course, Truth echoes around philosophy classrooms and journals, where theories of what it is are advanced, defended, and endlessly disputed. Philosophers collectively know that Truth is very important, but they don’t collectively know what it is.

I’ve said that Truth figures in worries about the problems of knowledge we’re said to be afflicted with, where saying that we have a Crisis of Truth both intensifies the problem and gives it a moral charge. In May 2019, Angela Merkel gave the commencement speech at Harvard. Prettily noting the significance of Harvard’s motto, Veritas, the German Chancellor described the conditions for academic inquiry, which, she said, requires that “we do not describe lies as truth and truth as lies,” nor that “we accept abuses [Missstände] as normal.” The Harvard audience stood and cheered: they understood the coded political reference to Trump and evidently agreed that the opposite of Truth was a lie — not just a statement that didn’t match reality but an intentional deception. You can, however, think of Truth’s opposite as nonsense, error, or bullshit, but calling it a lie was to position Truth in a moral field. Merkel was not giving Harvard a lesson in philosophy but a lesson in global civic virtue….(More)”.

The Downside of Tech Hype


Jeffrey Funk at Scientific American: “Science and technology have been the largest drivers of economic growth for more than 100 years. But this contribution seems to be declining. Growth in labor productivity has slowed, corporate revenue growth per research dollar has fallen, the value of Nobel Prize–winning research has declined, and the number of researchers needed to develop new molecular entities (e.g., drugs) and same percentage improvements in crop yields and numbers of transistors on a microprocessor chip (commonly known as Moore’s Law) has risen. More recently, the percentage of profitable start-ups at the time of their initial public stock offering has dropped to record lows, not seen since the dot-com bubble and start-ups such as Uber, Lyft and WeWork have accumulated losses much larger than ever seen by start-ups, including Amazon.

Although the reasons for these changes are complex and unclear, one thing is certain: excessive hype about new technologies makes it harder for scientists, engineers and policy makers to objectively analyze and understand these changes, or to make good decisions about new technologies.

One driver of hype is the professional incentives of venture capitalists, entrepreneurs, consultants and universities. Venture capitalists have convinced decision makers that venture capitalist funding and start-ups are the new measures of their success. Professional and business service consultants hype technology for both incumbents and start-ups to make potential clients believe that new technologies make existing strategies, business models and worker skills obsolete every few years.

Universities are themselves a major source of hype. Their public relations offices often exaggerate the results of research papers, commonly implying that commercialization is close at hand, even though the researchers know it will take many years if not decades. Science and engineering courses often imply an easy path to commercialization, while misleading and inaccurate forecasts from Technology Review and Scientific American make it easier for business schools and entrepreneurship programs to claim that opportunities are everywhere and that incumbent firms are regularly being disrupted. With a growth in entrepreneurship programs from about 16 in 1970 to more than 2,000 in 2014, many young people now believe that being an entrepreneur is the cool thing to be, regardless of whether they have a good idea.

Hype from these types of experts is exacerbated by the growth of social media, the falling cost of website creation, blogging, posting of slides and videos and the growing number of technology news, investor and consulting websites….(More)”.

Human Rights in the Age of Platforms


Book by Rikke Frank Jørgensen: “Today such companies as Apple, Facebook, Google, Microsoft, and Twitter play an increasingly important role in how users form and express opinions, encounter information, debate, disagree, mobilize, and maintain their privacy. What are the human rights implications of an online domain managed by privately owned platforms? According to the Guiding Principles on Business and Human Rights, adopted by the UN Human Right Council in 2011, businesses have a responsibility to respect human rights and to carry out human rights due diligence. But this goal is dependent on the willingness of states to encode such norms into business regulations and of companies to comply. In this volume, contributors from across law and internet and media studies examine the state of human rights in today’s platform society.

The contributors consider the “datafication” of society, including the economic model of data extraction and the conceptualization of privacy. They examine online advertising, content moderation, corporate storytelling around human rights, and other platform practices. Finally, they discuss the relationship between human rights law and private actors, addressing such issues as private companies’ human rights responsibilities and content regulation…(More)”.

Defining concepts of the digital society


A special section of Internet Policy Review edited by Christian Katzenbach and Thomas Christian Bächle: “With this new special section Defining concepts of the digital society in Internet Policy Review, we seek to foster a platform that provides and validates exactly these overarching frameworks and theories. Based on the latest research, yet broad in scope, the contributions offer effective tools to analyse the digital society. Their authors offer concise articles that portray and critically discuss individual concepts with an interdisciplinary mindset. Each article contextualises their origin and academic traditions, analyses their contemporary usage in different research approaches and discusses their social, political, cultural, ethical or economic relevance and impact as well as their analytical value. With this, the authors are building bridges between the disciplines, between research and practice as well as between innovative explanations and their conceptual heritage….(More)”

Algorithmic governance
Christian Katzenbach, Alexander von Humboldt Institute for Internet and Society
Lena Ulbricht, Berlin Social Science Center

Datafication
Ulises A. Mejias, State University of New York at Oswego
Nick Couldry, London School of Economics & Political Science

Filter bubble
Axel Bruns, Queensland University of Technology

Platformisation
Thomas Poell, University of Amsterdam
David Nieborg, University of Toronto
José van Dijck, Utrecht University

Privacy
Tobias Matzner, University of Paderborn
Carsten Ochs, University of Kassel

Causal Inference: What If


Book by Miguel A. Hernán, James M. Robins: “Causal Inference is an admittedly pretentious title for a book. Causal inference is a complex scientific task that relies on triangulating evidence from multiple sources and on the application of a variety of methodological approaches. No book can possibly provide a comprehensive description of methodologies for causal inference across the sciences. The authors of any Causal Inference book will have to choose which aspects of causal inference methodology they want to emphasize.

The title of this introduction reflects our own choices: a book that helps scientists–especially health and social scientists–generate and analyze data to make causal inferences that are explicit about both the causal question and the assumptions underlying the data analysis. Unfortunately, the scientific literature is plagued by studies in which the causal question is not explicitly stated and the investigators’ unverifiable assumptions are not declared. This casual attitude towards causal inference has led to a great deal of confusion. For example, it is not uncommon to find studies in which the effect estimates are hard to interpret because the data analysis methods cannot appropriately answer the causal question (were it explicitly stated) under the investigators’ assumptions (were they declared).

In this book, we stress the need to take the causal question seriously enough to articulate it, and to delineate the separate roles of data and assumptions for causal inference. Once these foundations are in place, causal inferences become necessarily less casual, which helps prevent confusion. The book describes various data analysis approaches that can be used to estimate the causal effect of interest under a particular set of assumptions when data are collected on each individual in a population. A key message of the book is that causal inference cannot be reduced to a collection of recipes for data analysis.

The book is divided in three parts of increasing difficulty: Part I is about causal inference without models (i.e., nonparametric identification of causal effects), Part II is about causal inference with models (i.e., estimation of causal effects with parametric models), and Part III is about causal inference from complex longitudinal data (i.e., estimation of causal effects of time-varying treatments)….(More) (Additional Material)”.

Contract for the Web


About: “The Web was designed to bring people together and make knowledge freely available. It has changed the world for good and improved the lives of billions. Yet, many people are still unable to access its benefits and, for others, the Web comes with too many unacceptable costs.

Everyone has a role to play in safeguarding the future of the Web. The Contract for the Web was created by representatives from over 80 organizations, representing governments, companies and civil society, and sets out commitments to guide digital policy agendas. To achieve the Contract’s goals, governments, companies, civil society and individuals must commit to sustained policy development, advocacy, and implementation of the Contract’s text…(More)”.

State Capabilities for Problem-Oriented Governance


Paper by Quinton Mayne, Jorrit De Jong, and Fernando Fernandez-Monge: “Governments around the world are increasingly recognizing the power of problem-oriented governance as a way to address complex public problems. As an approach to policy design and implementation, problem-oriented governance radically emphasizes the need for organizations to continuously learn and adapt. Scholars of public management, public administration, policy studies, international development, and political science have made important contributions to this problem-orientation turn; however, little systematic attention has been paid to the question of the state capabilities that underpin problem-oriented governance. In this article, we address this gap in the literature.

We argue that three core capabilities are structurally conducive to problem-oriented governance: a reflective-improvement capability, a collaborative capability, and a data-analytic capability. The article presents a conceptual framework for understanding each of these capabilities, including their chief constituent elements. It ends with a discussion of how the framework can advance empirical research as well as public-sector reform….(More)”.

The people, not governments, should exercise digital sovereignty


John Thornhill at the Financial Times: “European politicians who have been complaining recently about the loss of “digital sovereignty” to US technology companies are like children grumbling in the back of a car about where they are heading. …

Sovereign governments used to wield exclusive power over validating identity, running critical infrastructure, regulating information flows and creating money. Several of those functions are being usurped by the latest tech.

Emmanuel Macron, France’s president, recently told The Economist that Europe had inadvertently abandoned the “grammar” of sovereignty by allowing private companies, rather than public interest, to decide on digital infrastructure. In 10 years’ time, he feared, Europe would no longer be able to guarantee the soundness of its cyber infrastructure or control its citizens’ and companies’ data.

The instinctive response of many European politicians is to invest in grand, state-led projects and to regulate the life out of Big Tech. A recent proposal to launch a European cloud computing company, called Gaia-X, reflects the same impulse that lay behind the creation of Quaero, the Franco-German search engine set up in 2008 to challenge Google. That you have to Google “Quaero” rather than Quaero “Quaero” tells you how that fared. The risk of ill-designed regulation is that it can stifle innovation and strengthen the grip of dominant companies.

Rather than just trying to shore up the diminishing sovereignty of European governments and prop up obsolete national industrial champions, leaders may do better to reshape the rules of the data economy to empower users and stimulate a new wave of innovation. True sovereignty, after all, lies in the hands of the people. To this end, Europe should encourage greater efforts to “re-decentralise the web”, as computer scientists say, to accelerate the development of the next generation internet. The principle of privacy by design should be enshrined in the next batch of regulations, following the EU’s landmark General Data Protection Regulation, and written into all public procurement contracts. …(More).

Is Plagiarism Wrong?


Agnes Callard at The Point: “…Academia has confused a convention with a moral rule, and this confusion is not unmotivated. We academics cannot make much money off the papers and books in which we express our ideas, and ideas cannot be copyrighted, so we have invented a moral law that offers us the “property rights” the legal system denies us.

Here is an analogy. Suppose that I legally own a tree on the edge of my property, but not the apples that fall into the road. I might create a set of norms that shame people who take those apples: if you want one of “my” road-apples, you must first bow down to me or kiss my ring. Otherwise I will call you a “thief,” and if you insist that the apple you have just picked up is your own, I will compound the charge with “liar.”

The academic’s problem is that all of their apples fall into the road. Academia is an honor-culture, in which recognition—in the form of citations—serves as a kind of ersatz currency. In ancient Greek, there is a word “pleonexia,” which means “grasping after more than your share.” Plagiarism norms encourage pleonectic overreach. One can see such overreach in the fact that those with perfect job-security—famous, tenured faculty—do not seem less given to touchiness about having “their” ideas surface in the work of another, unattributed. Quite the contrary. The higher one rises, the louder the call for obeisance: kiss my ring! Stigmatizing plagiarism serves those at the top.

But isn’t there some form of reward—respect, gratitude, admiration, eternal life in historical memory—that people are entitled to on the basis of their intellectual work?

No. If you are an academic and you want to feel waves upon waves of gratitude, I have a simple recommendation for you: do a half-decent job teaching undergraduates. You don’t need to—and probably shouldn’t—teach them “your” ideas; if you help them furnish their minds with some of the great ideas of the past few millennia, they will thank you in ways no citation can: gushing notes of heartfelt appreciation, trinkets to fill your office, email messages of remembrance a decade later. They will come to your funeral. They will tell their children about you.

More generally, if I may indulge in some moralism myself, I would insist that no one can be entitled to gratitude or remembrance or appreciation. Write something worth reading. Put your ideas out there, and hope that someone will make something of them. Give with an open hand, and stop thinking about the tokens with which you will be repaid. Be happy to be worth stealing from. The future owes you nothing….(More)”.

A Republic of Equals: A Manifesto for a Just Society


Book by Jonathan Rothwell: “Political equality is the most basic tenet of democracy. Yet in America and other democratic nations, those with political power have special access to markets and public services. A Republic of Equals traces the massive income inequality observed in the United States and other rich democracies to politicized markets and avoidable gaps in opportunity—and explains why they are the root cause of what ails democracy today.

In this provocative book, economist Jonathan Rothwell draws on the latest empirical evidence from across the social sciences to demonstrate how rich democracies have allowed racial politics and the interests of those at the top to subordinate justice. He looks at the rise of nationalism in Europe and the United States, revealing how this trend overlaps with racial prejudice and is related to mounting frustration with a political status quo that thrives on income inequality and inefficient markets. But economic differences are by no means inevitable. Differences in group status by race and ethnicity are dynamic and have reversed themselves across continents and within countries. Inequalities persist between races in the United States because Black Americans are denied equal access to markets and public services. Meanwhile, elite professional associations carve out privileged market status for their members, leading to compensation in excess of their skills.

A Republic of Equals provides a bold new perspective on how to foster greater political and social equality, while moving societies closer to what a true republic should be….(More)”.