How the creative abundance of today's media culture was made possible by the decline of elitism in the arts and the rise of digital media.Media culture today encompasses a universe of forms—websites, video games, blogs, books, films, television and radio programs, magazines, and more—and a multitude of practices that include making, remixing, sharing, and critiquing. This multiplicity is so vast that it cannot be comprehended as a whole. In this book, Jay David Bolter traces the roots of our media multiverse to two developments in the second half of the twentieth century: the decline of elite art and the rise of digital media. Bolter explains that we no longer have a collective belief in "Culture with a capital C.” The hierarchies that ranked, for example, classical music as more important than pop, literary novels as more worthy than comic books, and television and movies as unserious have broken down. The art formerly known as high takes its place in the media plenitude. The elite culture of the twentieth century has left its mark on our current media landscape in the form of what Bolter calls "popular modernism.” Meanwhile, new forms of digital media have emerged and magnified these changes, offering new platforms for communication and expression.Bolter outlines a series of dichotomies that characterize our current media culture: catharsis and flow, the continuous rhythm of digital experience; remix (fueled by the internet's vast resources for sampling and mixing) and originality; history (not replayable) and simulation (endlessly replayable); and social media and coherent politics.
An alternative history of software that places the liberal arts at the very center of software's evolution.In The Software Arts, Warren Sack offers an alternative history of computing that places the arts at the very center of software's evolution. Tracing the origins of software to eighteenth-century French encyclopedists' step-by-step descriptions of how things were made in the workshops of artists and artisans, Sack shows that programming languages are the offspring of an effort to describe the mechanical arts in the language of the liberal arts. Sack offers a reading of the texts of computing—code, algorithms, and technical papers—that emphasizes continuity between prose and programs. He translates concepts and categories from the liberal and mechanical arts—including logic, rhetoric, grammar, learning, algorithm, language, and simulation—into terms of computer science and then considers their further translation into popular culture, where they circulate as forms of digital life. He considers, among other topics, the "arithmetization” of knowledge that presaged digitization; today's multitude of logics; the history of demonstration, from deduction to newer forms of persuasion; and the post-Chomsky absence of meaning in grammar. With The Software Arts, Sack invites artists and humanists to see how their ideas are at the root of software and invites computer scientists to envision themselves as artists and humanists.
How to confront, embrace, and learn from the unavoidable failures of creative practice; with case studies that range from winemaking to animation.Failure is an inevitable part of any creative practice. As game designers, John Sharp and Colleen Macklin have grappled with crises of creativity, false starts, and bad outcomes. Their tool for coping with the many varieties of failure: iteration, the cyclical process of conceptualizing, prototyping, testing, and evaluating. Sharp and Macklin have found that failure—often hidden, covered up, a source of embarrassment—is the secret ingredient of iterative creative process. In Iterate, they explain how to fail better.After laying out the four components of creative practice—intention, outcome, process, and evaluation—Sharp and Macklin describe iterative methods from a wide variety of fields. They show, for example, how Radiolab cohosts Jad Abumrad and Robert Krulwich experiment with radio as a storytelling medium; how professional skateboarder Amelia Bródka develops skateboarding tricks through trial and error; and how artistic polymath Miranda July explores human frailty through a variety of media and techniques. Whimsical illustrations tell parallel stories of iteration, as hard-working cartoon figures bake cupcakes, experiment with levitating office chairs, and think outside the box in toothbrush design ("let's add propellers!”). All, in their various ways, use iteration to transform failure into creative outcomes. With Iterate, Sharp and Macklin offer useful lessons for anyone interested in the creative process.Case Studies:Allison Tauziet, winemaker; Matthew Maloney, animator; Jad Abumrad and Robert Krulwich, Radiolab cohosts; Wylie Dufresne, chef; Nathalie Pozzi, architect, and Eric Zimmerman, game designer; Andy Milne, jazz musician; Amelia Bródka, skateboarder; Baratunde Thurston, comedian; Cas Holman, toy designer; Miranda July, writer and filmmaker
Leading thinkers from a range of disciplines discuss the compatibility of power and care, in conversation with the Dalai Lama.For more than thirty years, the Dalai Lama has been in dialogue with thinkers from a range of disciplines, helping to support pathways for knowledge to increase human wellbeing and compassion. These conversations, which began as private meetings, are now part of the Mind & Life Institute and Mind & Life Europe. This book documents a recent Mind & Life Institute dialogue with the Dalai Lama and others on two fundamental forces: power and care—power over and care for others in human societies.The notion of power is essentially neutral; power can be used to benefit others or to harm them, to build or to destroy. Care, on the other hand, is not a neutral force; it aims at increasing the wellbeing of others. Power and care are not incompatible: power, imbued with care, can achieve more than a powerless motivation to care; power, without the intention to benefit others, can be ruthless. The contributors—who include such celebrated figures as Frans B. M. de Waal, Olafur Eliasson, Sarah Blaffer Hrdy, and Jody Williams—discuss topics including the interaction of power and care among our closest relatives, the chimpanzees; the effect of meditation and mental training practices on the brain; the role of religion in promoting peace and compassion; and the new field of Caring Economics.ContributorsPaul Collier, Brother Thierry-Marie Courau, Frans B. M. de Waal, Olafur Eliasson, Scilla Elworthy, Alexandra M. Freund, Tenzin Gyatso (His Holiness the Dalai Lama), Markus Heinrichs, Sarah Blaffer Hrdy, Frédéric Laloux, Alaa Murabit, Matthieu Ricard, Johan Rockström, Richard Schwartz, Tania Singer, Dennis J. Snower, Rabbi Awraham Soetendorp, Theo Sowa, Pauline Tangiora, Jody Williams
A project-based guide to the basics of deep learning.This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and techniques. Students and practitioners learn the basics of deep learning by working through programs in Tensorflow, an open-source machine learning framework. "I find I learn computer science material best by sitting down and writing programs,” the author writes, and the book reflects this approach.Each chapter includes a programming project, exercises, and references for further reading. An early chapter is devoted to Tensorflow and its interface with Python, the widely used programming language. Familiarity with linear algebra, multivariate calculus, and probability and statistics is required, as is a rudimentary knowledge of programming in Python. The book can be used in both undergraduate and graduate courses; practitioners will find it an essential reference.
Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.Log-linear models play a key role in modern big data and machine learning applications. From simple binary classification models through partition functions, conditional random fields, and neural nets, log-linear structure is closely related to performance in certain applications and influences fitting techniques used to train models. This volume covers recent advances in training models with log-linear structures, covering the underlying geometry, optimization techniques, and multiple applications. The first chapter shows readers the inner workings of machine learning, providing insights into the geometry of log-linear and neural net models. The other chapters range from introductory material to optimization techniques to involved use cases. The book, which grew out of a NIPS workshop, is suitable for graduate students doing research in machine learning, in particular deep learning, variable selection, and applications to speech recognition. The contributors come from academia and industry, allowing readers to view the field from both perspectives.ContributorsAleksandr Aravkin, Avishy Carmi, Guillermo A. Cecchi, Anna Choromanska, Li Deng, Xinwei Deng, Jean Honorio, Tony Jebara, Huijing Jiang, Dimitri Kanevsky, Brian Kingsbury, Fabrice Lambert, Aurélie C. Lozano, Daniel Moskovich, Yuriy S. Polyakov, Bhuvana Ramabhadran, Irina Rish, Dimitris Samaras, Tara N. Sainath, Hagen Soltau, Serge F. Timashev, Ewout van den Berg
Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms.
Tracing two centuries of rise, fall, and rebirth in the heart of downtown Detroit.Downtown Detroit is in the midst of an astonishing rebirth. Its sidewalks have become a dreamland for an aspiring creative class, filled with shoppers, office workers, and restaurant-goers. Cranes dot the skyline, replacing the wrecking balls seen there only a few years ago. But venture a few blocks in any direction and this liveliness gives way to urban blight, a nightmare cityscape of crumbling concrete, barbed wire, and debris. In Dream City, urban designer Conrad Kickert examines the paradoxes of Detroit's landscape of extremes, arguing that the current reinvention of downtown is the expression of two centuries of Detroiters' conflicting hopes and dreams. Kickert demonstrates the materialization of these dreams with a series of detailed original morphological maps that trace downtown's rise, fall, and rebirth.Kickert writes that downtown Detroit has always been different from other neighborhoods; it grew faster than other parts of the city, and it declined differently, forced to reinvent itself again and again. Downtown has been in constant battle with its own offspring—the automobile and the suburbs the automobile enabled—and modernized itself though parking attrition and land consolidation. Dream City is populated by a varied cast of downtown power players, from a 1920s parking lot baron to the pizza tycoon family and mortgage billionaire who control downtown's fate today. Even the most renowned planners and designers have consistently yielded to those with power, land, and finances to shape downtown. Kickert thus finds rhyme and rhythm in downtown's contemporary cacophony. Kickert argues that Detroit's case is extreme but not unique; many other American cities have seen a similar decline—and many others may see a similar revitalization.
The daughter of French psychoanalyst Jacques Lacan tries to make sense of her relationship with her father."When I was born, my father was already no longer there.” Sibylle Lacan's memoir of her father, the influential French psychoanalyst Jacques Lacan, is told through fragmentary, elliptical episodes, and describes a figure who had defined himself to her as much by his absence as by his presence. Sibylle was the second daughter and unhappy last child of Lacan's first marriage: the fruit of despair ("some will say of desire, but I do not believe them”). Lacan abandoned his old family for a new one: a new partner, Sylvia Bataille (the wife of Georges Bataille), and another daughter, born a few months after Sibylle. For years, this daughter, Judith, was the only publicly recognized child of Lacan—even if, due to French law, she lacked his name. In one sense, then, A Father presents the voice of one who, while bearing his name, had been erased. If Jacques Lacan had described the word as a "presence made of absence,” Sibylle Lacan here turns to the language of the memoir as a means of piecing together the presence of a man who had entered her life in absence, and in his passing, finished in it. In its interplay of absence, naming, and the despair engendered by both, A Father ultimately poses an essential question: what is a father? This first-person account offers both a riposte and a complement to the concept (and the name) of the father as Lacan had defined him in his work, and raises difficult issues about the influence biography can have on theory—and vice versa—and the sometimes yawning divide that can open up between theory and the lives we lead.
The first textbook to present a comprehensive and detailed economic analysis of electricity markets, analyzing the tensions between microeconomics and political economy.The power industry is essential in our fight against climate change. This book is the first to examine in detail the microeconomics underlying power markets, stemming from peak-load pricing, by which prices are low when the installed generation capacity exceeds demand but can rise a hundred times higher when demand is equal to installed capacity. The outcome of peak-load pricing is often difficult to accept politically, and the book explores the tensions between microeconomics and political economy. Understanding peak-load pricing and its implications is essential for designing robust policies and making sound investment decisions. Thomas-Olivier Léautier presents the model in its simplest form, and introduces additional features as different issues are presented. The book covers all segments of electricity markets: electricity generation, under perfect and imperfect competition; retail competition and demand response; transmission pricing, transmission congestion management, and transmission constraints; and the current policy issues arising from the entry of renewables into the market and capacity mechanisms. Combining anecdotes and analysis of real situations with rigorous analytical modeling, each chapter analyzes one specific issue, first presenting findings in nontechnical terms accessible to policy practitioners and graduate students in management or public policy and then presenting a more mathematical analytical exposition for students and researchers specializing in the economics of electricity markets and for those who want to understand and apply the underlying models.
The transformative effect of technological change on households and culture, seen from a macroeconomic perspective through simple economic models.In Evolving Households, Jeremy Greenwood argues that technological progress has had as significant an effect on households as it had on industry. Taking a macroeconomic perspective, Greenwood develops simple economic models to study such phenomena as the rise in married female labor force participation, changes in fertility rates, the decline in marriage, and increased longevity. These trends represent a dramatic transformation in everyday life, and they were made possible by advancements in technology. Greenwood also addresses how technological progress can cause social change.Greenwood shows, for example, how electricity and labor-saving appliances freed women from full-time household drudgery and enabled them to enter the labor market. He explains that fertility dropped when higher wages increased the opportunity cost of having children; he attributes the post-World War II baby boom to a combination of labor-saving household technology and advances in obstetrics and pediatrics. Marriage rates declined when single households became more economically feasible; people could be more discriminating in their choice of a mate. Technological progress also affects social and cultural norms. Innovation in contraception ushered in a sexual revolution. Labor-saving technological progress at home, together with mechanization in industry that led to an increase in the value of brain relative to brawn for jobs, fostered the advancement of women's rights in the workplace. Finally, Greenwood attributes increased longevity to advances in medical technology and rising living standards, and he examines healthcare spending, the development of new drugs, and the growing portion of life now spent in retirement.
An introduction to applying predicate logic to testing and verification of software and digital circuits that focuses on applications rather than theory.Computer scientists use logic for testing and verification of software and digital circuits, but many computer science students study logic only in the context of traditional mathematics, encountering the subject in a few lectures and a handful of problem sets in a discrete math course. This book offers a more substantive and rigorous approach to logic that focuses on applications in computer science. Topics covered include predicate logic, equation-based software, automated testing and theorem proving, and large-scale computation. Formalism is emphasized, and the book employs three formal notations: traditional algebraic formulas of propositional and predicate logic; digital circuit diagrams; and the widely used partially automated theorem prover, ACL2, which provides an accessible introduction to mechanized formalism. For readers who want to see formalization in action, the text presents examples using Proof Pad, a lightweight ACL2 environment. Readers will not become ALC2 experts, but will learn how mechanized logic can benefit software and hardware engineers. In addition, 180 exercises, some of them extremely challenging, offer opportunities for problem solving. There are no prerequisites beyond high school algebra. Programming experience is not required to understand the book's equation-based approach. The book can be used in undergraduate courses in logic for computer science and introduction to computer science and in math courses for computer science students.
An investigation of intelligence as an emergent phenomenon, integrating the perspectives of evolutionary biology, neuroscience, and artificial intelligence.
A review of the scientific evidence on the effects of cannabinoids on brain and behavioral functioning, with an emphasis on potential therapeutic use.
An exploration of how approaches that draw on evolutionary theory and complexity science can advance our understanding of economics.
An examination of Latino/a immigrant farmers as they transition from farmworkers to farm owners that offers a new perspective on racial inequity and sustainable farming.Although the majority of farms in the United States have US-born owners who identify as white, a growing number of new farmers are immigrants, many of them from Mexico, who originally came to the United States looking for work in agriculture. In The New American Farmer, Laura-Anne Minkoff-Zern explores the experiences of Latino/a immigrant farmers as they transition from farmworkers to farm owners, offering a new perspective on racial inequity and sustainable farming. She finds that many of these new farmers rely on farming practices from their home countries—including growing multiple crops simultaneously, using integrated pest management, maintaining small-scale production, and employing family labor—most of which are considered alternative farming techniques in the United States.Drawing on extensive interviews with farmers and organizers, Minkoff-Zern describes the social, economic, and political barriers immigrant farmers must overcome, from navigating USDA bureaucracy to racialized exclusion from opportunities. She discusses, among other topics, the history of discrimination against farm laborers in the United States; the invisibility of Latino/a farmers to government and universities; new farmers'' sense of agrarian and racial identity; and the future of the agrarian class system.Minkoff-Zern argues that immigrant farmers, with their knowledge and experience of alternative farming practices, are—despite a range of challenges—actively and substantially contributing to the movement for an ecological and sustainable food system. Scholars and food activists should take notice.
A groundbreaking study of how emotions motivate attempts to counter species loss.
An in-depth examination of the novel ways young people support and learn from each other though participation in online fanfiction communities.
The story of citizenship as a tale not of liberation, dignity, and nationhood but of complacency, hypocrisy, and domination.The glorification of citizenship is a given in today's world, part of a civic narrative that invokes liberation, dignity, and nationhood. In reality, explains Dimitry Kochenov, citizenship is a story of complacency, hypocrisy, and domination, flattering to citizens and demeaning for noncitizens. In this volume in the MIT Press Essential Knowledge series, Kochenov explains the state of citizenship in the modern world. Kochenov offers a critical introduction to a subject most often regarded uncritically, describing what citizenship is, what it entails, how it came about, and how its role in the world has been changing. He examines four key elements of the concept: status, considering how and why the status of citizenship is extended, what function it serves, and who is left behind; rights, particularly the right to live and work in a state; duties, and what it means to be a "good citizen”; and politics, as enacted in the granting and enjoyment of citizenship. Citizenship promises to apply the attractive ideas of dignity, equality, and human worth—but to strictly separated groups of individuals. Those outside the separation aren't citizens as currently understood, and they do not belong. Citizenship, Kochenov warns, is too often a legal tool that justifies violence, humiliation, and exclusion.
The hidden material histories of music.Music is seen as the most immaterial of the arts, and recorded music as a progress of dematerialization—an evolution from physical discs to invisible digits. In Decomposed, Kyle Devine offers another perspective. He shows that recorded music has always been a significant exploiter of both natural and human resources, and that its reliance on these resources is more problematic today than ever before. Devine uncovers the hidden history of recorded music—what recordings are made of and what happens to them when they are disposed of. Devine''s story focuses on three forms of materiality. Before 1950, 78 rpm records were made of shellac, a bug-based resin. Between 1950 and 2000, formats such as LPs, cassettes, and CDs were all made of petroleum-based plastic. Today, recordings exist as data-based audio files. Devine describes the people who harvest and process these materials, from women and children in the Global South to scientists and industrialists in the Global North. He reminds us that vinyl records are oil products, and that the so-called vinyl revival is part of petrocapitalism. The supposed immateriality of music as data is belied by the energy required to power the internet and the devices required to access music online. We tend to think of the recordings we buy as finished products. Devine offers an essential backstory. He reveals how a range of apparently peripheral people and processes are actually central to what music is, how it works, and why it matters.
An examination of why government agencies allow environmental injustices to persist.Many state and federal environmental agencies have put in place programs, policies, and practices to redress environmental injustices, and yet these efforts fall short of meeting the principles that environmental justice activists have fought for. In From the Inside Out, Jill Lindsey Harrison offers an account of the bureaucratic culture that hinders regulatory agencies'' attempts to reduce environmental injustices. It is now widely accepted that America''s poorest communities, communities of color, and Native American communities suffer disproportionate harm from environmental hazards, with higher exposure to pollution and higher incidence of lead poisoning, cancer, asthma, and other diseases linked to environmental ills. And yet, Harrison reports, some regulatory staff view these problems as beyond their agencies'' area of concern, requiring too many resources, or see neutrality as demanding “color-blind” administration. Drawing on more than 160 interviews (with interviewees including 89 current or former agency staff members and more than 50 environmental justice activists and others who interact with regulatory agencies) and more than 50 hours of participant observation of agency meetings (both open- and closed-door), Harrison offers a unique account of how bureaucrats resist, undermine, and disparage environmental justice reform—and how environmental justice reformers within the agencies fight back by trying to change regulatory practice and culture from the inside out. Harrison argues that equity, not just aggregated overall improvement, should be a metric for evaluating environmental regulation.
The growth of the global meat industry and the implications for climate change, food insecurity, workers'' rights, the treatment of animals, and other issues.Global meat production and consumption have risen sharply and steadily over the past five decades, with per capita meat consumption almost doubling since 1960. The expanding global meat industry, meanwhile, driven by new trade policies and fueled by government subsidies, is dominated by just a few corporate giants. Industrial farming—the intensive production of animals and fish—has spread across the globe. Millions of acres of land are now used for pastures, feed crops, and animal waste reservoirs. Drawing on concrete examples, the contributors to Global Meat explore the implications of the rise of a global meat industry for a range of social and environmental issues, including climate change, clean water supplies, hunger, workers'' rights, and the treatment of animals.Three themes emerge from their discussions: the role of government and corporations in shaping the structure of the global meat industry; the paradox of simultaneous rising meat production and greater food insecurity; and the industry''s contribution to social and environmental injustice. Contributors address such specific topics as the dramatic increase in pork production and consumption in China; land management by small-scale cattle farmers in the Amazon; the effect on the climate of rising greenhouse gas emissions from cattle raised for meat; and the tensions between economic development and animal welfare.ContributorsConner Bailey, Robert M. Chiles, Celize Christy, Riva C. H. Denny, Carrie Freshour, Philip H. Howard, Elizabeth Ransom, Tom Rudel, Mindi Schneider, Nhuong Tran, Bill Winders
Artists, theorists, activists, and scholars propose concrete forms of non-fascist living as the rise of contemporary fascisms threatens the foundations of common life.Propositions for Non-Fascist Living begins from the urgent need to model a world decidedly void of fascisms during a time when the rise of contemporary fascisms threatens the very foundations of a possibility for common life. Borrowing from Michel Foucault's notion of "non-fascist living” as an "art of living counter to all forms of fascism,” including that "in us all... the fascism that causes us to love power, to desire the very thing that dominates and exploits us,” the book addresses the practice of living rather than the mere object of life.Artists, theorists, activists, and scholars offer texts and visual essays that engage varied perspectives on practicing life and articulate methods that support multiplicity and difference rather than vaunting power and hierarchy. Architectural theorist Eyal Weizman, for example, describes an "unlikely common” in gathering evidence against false narratives; art historian and critic Sven Lütticken develops a non-fascist proposition drawn from the intersection of art, technology, and law; philosopher Rosi Braidotti explores an ethics of affirmation and the practices of dying.Propositions for Non-Fascist Living is the first in a BASICS series of readers from BAK, basis voor actuele kunst, Utrecht, engaging some of the most urgent problems of our time through theoretically informed and politically driven artistic research and practice.Contributors includeRosi Braidotti, Denise Ferreira da Silva, Jota Mombaça, and Thiago de Paula Souza, Forensic Architecture, Stefano Harney and Fred Moten, Patricia Kaersenhout and Lukás Likavcan, Sven Lütticken, Jumana Manna, Dan McQuillan, Shela Sheikh, Eyal Weizman, Mick WilsonCopublished with BAK, basis voor actuele kunst
What it means to be global—or to be local—in the context of artistic, curatorial, and theoretical knowledge and practice.In this volume, an international, interdisciplinary group of writers discuss what it means to be global—or to be local—in the context of artistic, curatorial and theoretical knowledge and practice. Continuing the discussion begun in The Curatorial Conundrum (2016) and How Institutions Think (2017), Curating After the Global considers curating and questions of locality, geopolitical change, the reassertion of nation-states, and the violent diminishing of citizen and denizen rights across the globe.It has become commonplace to talk of a globalized art world and even to speak of contemporary art as a driver of globalization. This universalization of what art is or can be is often presumed to be at the cost of local traditions and any sense of locality and embeddedness. But need this be the case? The contributors to Curating After the Global explore, among other things, specific curatorial projects that may offer roadmaps for the globalized present; new institutional approaches; and ways of thinking, vocabularies, and strategies for moving forward.Contributors include Lotte Arndt, Marwa Arsanios, Athena Athanasiou and Simon Sheikh, María Berríos and Jakob Jakobsen, Qalandar Bux Memon, Ntone Edjabe and David Morris, Liam Gillick, Alison Greene, Yaiza María Hernández Velázquez, Prem Krishnamurthy and Emily Smith, Nkule Mabaso, Morad Montazami, Paul-Emmanuel Odin, Vijay Prashad, Kristin Ross, Grace Samboh, Sumesh Sharma, Joshua Simon, Hajnalka Somogyi, Lucy Steeds, Françoise VergèsCopublished with the Center for Curatorial Studies Bard College/Luma Foundation
Considering a redefinition of global space.As much as it is a neoclassical compositional principle, the ensemble today is shifting into a new critical focus: it is a central figure in nascent developments in probabilistic mathematics and a critical logic in the development of artificial intelligence algorithms. Statistical ensembles are a specific adaptation of Markov processes. They produce and are produced by a highly circumscribed definition of creativity—that of a predictive state inherently based on a chain of linked, given events, thus a computational intelligence predicated on the established patterns of the database. Are these mathematical ensembles different from those of neoclassical composition? How are the new ensembles characterized and materialized relative to their conceptual tradition?This fifty-second issue of Perspecta—the oldest and most distinguished student-edited architectural journal in America—is a projective art history of ensemble as form and politics. It uses theories of ensemble to propose both alternative extensive stagings of design objects, as well as other resistant assemblies of the corps of architects. Ensemble is posed a lens to theorize object-parts and states of motion at once, together: an architecture of the city.The volume includes a new photographic essay on the contemporary city of Bengali by American and Indian artists. A collection of essays by interdisciplinary contributors interweave this new creative work, pointing toward a compositional project for an architecture that is multiple, extensive, spontaneous, collective, durational, temporary.ContributorsCharlotte Algie, Hayden Bassett, Anya Bokov, Kim Bowes, Alex Bremner, Matteo Burioni, Swati Chattopadhyay, Jean-Louis Cohen, Mark Crinson, Arko Datto, Samia Henni, Heyward Hart, Mark Jarzombek, Vladimir Kulic, Jimenez Lai, Hannah Le Roux, John Loring, Zahra Malkani and Shahana Rajani, Emily Mann, Christina Maranci, Edward Mitchell, Brian Norwood, Itohan Oyasimwese, Cristina Osswald, Curtis Roth, Tapati Guha-Thakurta, Hans Tursack, Yasmin Vobis, Aaron Forrest
A leading economist and former central banker discusses the evolution of central bank communication from secretiveness to transparency and accountability.Central bank communication has evolved from secretiveness to transparency and accountability—from a reluctance to give out any information at all to the belief in communication as a panacea for effective policy. In this book, Otmar Issing, himself a former central banker, discusses the journey toward transparency in central bank communication. Issing traces the development of transparency, examining the Bank of England as an example of extreme reticence and European Central Bank's President Mario Draghi as a practitioner of effective communication. He argues that the ultimate goal of central bank communication is to make monetary policy more effective, and describes the practice and theory of communication as an evolutionary process. For a long time, the Federal Reserve never made its monetary policy decisions public; the European Central Bank, on the other hand, had to adopt a modern communication strategy from the outset. Issing discusses the importance of guiding expectations in central bank communication, and points to financial markets as the most important recipients of this communication. He discusses the obligations of accountability and transparency, although he notes that total transparency is a "mirage.” Issing argues that the central message to the public must always be that the stability of a nation's currency is the bank's priority.
Why policies should be based on careful consideration of their costs and benefits rather than on intuition, popular opinion, interest groups, and anecdotes.Opinions on government policies vary widely. Some people feel passionately about the child obesity epidemic and support government regulation of sugary drinks. Others argue that people should be able to eat and drink whatever they like. Some people are alarmed about climate change and favor aggressive government intervention. Others don't feel the need for any sort of climate regulation. In The Cost-Benefit Revolution, Cass Sunstein argues our major disagreements really involve facts, not values. It follows that government policy should not be based on public opinion, intuitions, or pressure from interest groups, but on numbers—meaning careful consideration of costs and benefits. Will a policy save one life, or one thousand lives? Will it impose costs on consumers, and if so, will the costs be high or negligible? Will it hurt workers and small businesses, and, if so, precisely how much?As the Obama administration's "regulatory czar,” Sunstein knows his subject in both theory and practice. Drawing on behavioral economics and his well-known emphasis on "nudging,” he celebrates the cost-benefit revolution in policy making, tracing its defining moments in the Reagan, Clinton, and Obama administrations (and pondering its uncertain future in the Trump administration). He acknowledges that public officials often lack information about costs and benefits, and outlines state-of-the-art techniques for acquiring that information. Policies should make people's lives better. Quantitative cost-benefit analysis, Sunstein argues, is the best available method for making this happen—even if, in the future, new measures of human well-being, also explored in this book, may be better still.
Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage.In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the "moonshot” (curing cancer, or synthesizing all investment knowledge); look for the "low-hanging fruit” to make your company more efficient.Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning ("analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise.Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI.A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.
Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer programs.The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart.Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world—and to play Atari video games better than humans. He explains Watson's famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution—at least for now. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people.
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