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"In a world suffocated by people and things, this book exposes why we throwaway things that still work, and shows how we can design products, services, and experiences that last"--

Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications.Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners.The authors explore ways to enhance flexibility by: • Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces • Augmenting data with independent annotation layers, such as units of measurement or provenance • Combining independent pieces of partial information using unification or propagation • Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking • Extending the programming language, using dynamically extensible evaluators

An update to a provocative manifesto intended to serve as a platform for debate and as a resource and inspiration for those teaching in online environments.In 2011, a group of scholars associated with the Centre for Research in Digital Education at the University of Edinburgh released "A Manifesto for Teaching Online,” a series of provocative statements intended to articulate their pedagogical philosophy. In the original manifesto and a 2016 update, the authors counter both the "impoverished” vision of education being advanced by corporate and governmental edtech and higher education's traditional view of online students and teachers as second-class citizens. The two versions of the manifesto were much discussed, shared, and debated. In this book, the authors have expanded the text of the 2016 manifesto, revealing the sources and larger arguments behind the abbreviated provocations. The book groups the twenty-one statements ("Openness is neither neutral nor natural: it creates and depends on closures”; "Don't succumb to campus envy: we are the campus”) into five thematic sections examining place and identity, politics and instrumentality, the primacy of text and the ethics of remixing, the way algorithms and analytics "recode” educational intent, and how surveillance culture can be resisted. Much like the original manifestos, this book is intended as a platform for debate, as a resource and inspiration for those teaching in online environments, and as a challenge to the techno-instrumentalism of current edtech approaches.

An examination of the datafication of family life--in particular, the construction of our children into data subjects.Our families are being turned into data, as the digital traces we leave are shared, sold, and commodified. Children are datafied even before birth, with pregnancy apps and social media postings, and then tracked through babyhood with learning apps, smart home devices, and medical records. If we want to understand the emergence of the datafied citizen, Veronica Barassi argues, we should look at the first generation of datafied natives: our children. In Child Data Citizen, she examines the construction of children into data subjects, describing how their personal information is collected, archived, sold, and aggregated into unique profiles that can follow them across a lifetime.

A pioneering space archaeologist explores artifacts left behind in space and on Earth, from moon dust to Elon Musk''s red sports car.Alice Gorman is a space archaeologist: she examines the artifacts of human encounters with space. These objects, left behind on Earth and in space, can be massive (dead satellites in eternal orbit) or tiny (discarded zip ties around a defunct space antenna). They can be bold (an American flag on the moon) or hopeful (messages from Earth sent into deep space). They raise interesting questions: Why did Elon Musk feel compelled to send a red Tesla into space? What accounts for the multiple rocket-themed playgrounds constructed after the Russians launched Sputnik? Gorman—affectionately known as “Dr Space Junk” —takes readers on a journey through the solar system and beyond, deploying space artifacts, historical explorations, and even the occasional cocktail recipe in search of the ways that we make space meaningful.Engaging and erudite, Gorman recounts her background as a (nonspace) archaeologist and how she became interested in space artifacts. She shows us her own piece of space junk: a fragment of the fuel tank insulation from Skylab, the NASA spacecraft that crash-landed in Western Australia in 1979. She explains that the conventional view of the space race as “the triumph of the white, male American astronaut” seems inadequate; what really interests her, she says, is how everyday people engage with space. To an archaeologist, objects from the past are significant because they remind us of what we might want to hold on to in the future.

A thought-provoking argument that consciousness—more widespread than previously assumed—is the feeling of being alive, not a type of computation or a clever hack   In The Feeling of Life Itself, Christof Koch offers a straightforward definition of consciousness as any subjective experience, from the most mundane to the most exalted—the feeling of being alive. Psychologists study which cognitive operations underpin a given conscious perception. Neuroscientists track the neural correlates of consciousness in the brain, the organ of the mind. But why the brain and not, say, the liver? How can the brain—three pounds of highly excitable matter, a piece of furniture in the universe, subject to the same laws of physics as any other piece—give rise to subjective experience? Koch argues that what is needed to answer these questions is a quantitative theory that starts with experience and proceeds to the brain. In The Feeling of Life Itself, Koch outlines such a theory, based on integrated information.   Koch describes how the theory explains many facts about the neurology of consciousness and how it has been used to build a clinically useful consciousness meter. The theory predicts that many, and perhaps all, animals experience the sights and sounds of life; consciousness is much more widespread than conventionally assumed. Contrary to received wisdom, however, Koch argues that programmable computers will not have consciousness. Even a perfect software model of the brain is not conscious. Its simulation is fake consciousness. Consciousness is not a special type of computation—it is not a clever hack. Consciousness is about being.

A leading scientist describes his life, his gender transition, his scientific work, and his advocacy for gender equality in science.Ben Barres was known for his groundbreaking scientific work and for his groundbreaking advocacy for gender equality in science. In this book, completed shortly before his death from pancreatic cancer in December 2017, Barres (born in 1954) describes a life full of remarkable accomplishments—from his childhood as a precocious math and science whiz to his experiences as a female student at MIT in the 1970s to his female-to-male transition in his forties, to his scientific work and role as teacher and mentor at Stanford. Barres recounts his early life—his interest in science, first manifested as a fascination with the mad scientist in Superman; his academic successes; and his gender confusion. Barres felt even as a very young child that he was assigned the wrong gender. After years of being acutely uncomfortable in his own skin, Barres transitioned from female to male. He reports he felt nothing but relief on becoming his true self. He was proud to be a role model for transgender scientists.As an undergraduate at MIT, Barres experienced discrimination, but it was after transitioning that he realized how differently male and female scientists are treated. He became an advocate for gender equality in science, and later in life responded pointedly to Larry Summers''s speculation that women were innately unsuited to be scientists. Privileged white men, Barres writes, “miss the basic point that in the face of negative stereotyping, talented women will not be recognized.” At Stanford, Barres made important discoveries about glia, the most numerous cells in the brain, and he describes some of his work. “The most rewarding part of his job,” however, was mentoring young scientists. That, and his advocacy for women and transgender scientists, ensures his legacy.

An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for the general reader.Quantum computing is a beautiful fusion of quantum physics and computer science, incorporating some of the most stunning ideas from twentieth-century physics into an entirely new way of thinking about computation. In this book, Chris Bernhardt offers an introduction to quantum computing that is accessible to anyone who is comfortable with high school mathematics. He explains qubits, entanglement, quantum teleportation, quantum algorithms, and other quantum-related topics as clearly as possible for the general reader. Bernhardt, a mathematician himself, simplifies the mathematics as much as he can and provides elementary examples that illustrate both how the math works and what it means. Bernhardt introduces the basic unit of quantum computing, the qubit, and explains how the qubit can be measured; discusses entanglement—which, he says, is easier to describe mathematically than verbally—and what it means when two qubits are entangled (citing Einstein''s characterization of what happens when the measurement of one entangled qubit affects the second as “spooky action at a distance”); and introduces quantum cryptography. He recaps standard topics in classical computing—bits, gates, and logic—and describes Edward Fredkin''s ingenious billiard ball computer. He defines quantum gates, considers the speed of quantum algorithms, and describes the building of quantum computers. By the end of the book, readers understand that quantum computing and classical computing are not two distinct disciplines, and that quantum computing is the fundamental form of computing. The basic unit of computation is the qubit, not the bit.

Grand strategist and founder of modern Singapore offers key insights and controversial opinions on globalization, geopolitics, economic growth, and democracy.

Examining the potential benefits and risks of using artificial intelligence to advance global sustainability.Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia''s Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet''s savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability.Dauvergne finds that corporations and states often use AI in ways that are antithetical to sustainability. The competition to profit from AI is entrenching technocratic management, revving up resource extraction, and turbocharging consumption, as consumers buy new smart devices (and discard their old, less-smart ones). Smart technology is helping farmers grow crops more efficiently, but also empowering the agrifood industry. Moreover, states are weaponizing AI to control citizens, suppress dissent, and aim cyberattacks at rival states. Is there a way to harness the power of AI for environmental and social good? Dauvergne argues for precaution and humility as guiding principles in the deployment of AI.

A provocative call for the transformation of science museums into “idea colliders” that spark creative collaborations and connections.Today''s science museums descend from the Kunst-und Wunderkammern of the Renaissance—collectors'' private cabinets of curiosities—through the Crystal Palace exhibition of 1851 to today''s “interactive” exhibits promising educational fun. In this book, Michael John Gorman issues a provocative call for the transformation of science museums and science centers from institutions dedicated to the transmission of cultural capital to dynamic “idea colliders” that spark creative collaborations and connections. This new kind of science museum would not stage structured tableaux of science facts but would draw scientists into conversation with artists, designers, policymakers, and the public. Rather than insulating visitors from each other with apps and audio guides, the science museum would consider each visitor a resource, bringing questions, ideas, and experiences from a unique perspective.Gorman, founder of the trailblazing Science Gallery, describes three scenarios for science museums of the future—the Megamuseum Mall, “the Cirque de Soleil of the science museum world”; the Cloud Chamber, a local space for conversations and co-creation; and the invisible museum, digital device-driven informal science learning. He discusses hybrids that experiment with science and art and science galleries that engage with current research, encouraging connection, participation and surprise. Finally, he identifies ten key shifts in the evolution of science museums, including those from large to small, from interactive to participatory, from enclosed to porous, and from subject-specific to cross-disciplinary.

An accessible and engaging account of the mind and its connection to the brain.The mind encompasses everything we experience, and these experiences are created by the brain—often without our awareness. Experience is private; we can''t know the minds of others. But we also don''t know what is happening in our own minds. In this book, E. Bruce Goldstein offers an accessible and engaging account of the mind and its connection to the brain. He takes as his starting point two central questions—what is the mind? and what is consciousness?—and leads readers through topics that range from conceptions of the mind in popular culture to the wiring system of the brain. Throughout, he draws on the latest research, explaining its significance and relevance.Goldstein discusses how the mind has been described and studied since the nineteenth century, and surveys modern approaches to studying mind–brain connections; considers consciousness and how the nervous system creates experience; and explores the hidden mechanisms of the brain. Then, in the heart of the book, he focuses on one principle that holds across a wide range of the mind''s functions: prediction. All the behaviors and physiological processes associated with prediction—including eye movements, tactile sensation, language, music, memory, and social processes—involve communication between different places in the brain. The mind emerges not from the firing of neurons in one specialized area but from communications that travel across what Goldstein calls “highways of the mind.”

The bicycle is almost unique among human-powered machines in that it uses human muscles in a near-optimum way. This new edition of the bible of bicycle builders and bicyclists provides just about everything you could want to know about the history of bicycles, how human beings propel them, what makes them go faster, and what keeps them from going even faster. The scientific and engineering information is of interest not only to designers and builders of bicycles and other human-powered vehicles but also to competitive cyclists, bicycle commuters, and recreational cyclists. The third edition begins with a brief history of bicycles and bicycling that demolishes many widespread myths. This edition includes information on recent experiments and achievements in human-powered transportation, including the "e;ultimate human- powered vehicle,"e; in which a supine rider in a streamlined enclosure steers by looking at a television screen connected to a small camera in the nose, reaching speeds of around 80 miles per hour. It contains completely new chapters on aerodynamics, unusual human-powered machines for use on land and in water and air, human physiology, and the future of bicycling. This edition also provides updated information on rolling drag, transmission of power from rider to wheels, braking, heat management, steering and stability, power and speed, and materials. It contains many new illustrations.

The definitive book on leadership in the digital era: why digital technologies call for leadership that emphasizes creativity, collaboration, and inclusivity.

Are we alone in the universe? If not, where is everybody? An engaging exploration of one of the most important unsolved problems in science.Everything we know about how planets form and how life arises suggests that human civilization on Earth should not be unique. We ought to see abundant evidence of extraterrestrial activity—but we don't. Where is everybody? In this volume in the MIT Press Essential Knowledge series, science and technology writer Wade Roush examines one of the great unsolved problems in science: is there life, intelligent or otherwise, on other planets? This paradox (they're bound to be out there; but where are they?), first formulated by the famed physicist Enrico Fermi, has fueled decades of debate, speculation, and, lately, some actual science. Roush lays out the problem in its historical and modern-day context and summarizes the latest thinking among astronomers and astrobiologists. He describes the long history of speculation about aliens (we've been debating the idea for thousands of years); the emergence of SETI (the Search for Extraterrestrial Intelligence) as a scientific discipline in the 1960s, and scientists' use of radio and optical techniques to scan for signals; and developments in astrobiology (the study of how life might arise in non-Earth like environments) and exoplanet research (the discovery of planets outside our solar system). Finally, he discusses possible solutions to the Fermi Paradox and suggests way to refocus SETI work that might increase the chances of resolving the paradox—and finding extraterrestrials.

How game designers can use the psychological phenomenon of loss aversion to shape player experience.Getting something makes you feel good, and losing something makes you feel bad. But losing something makes you feel worse than getting the same thing makes you feel good. So finding $10 is a thrill; losing $10 is a tragedy. On an "intensity of feeling” scale, loss is more intense than gain. This is the core psychological concept of loss aversion, and in this book game creator Geoffrey Engelstein explains, with examples from both tabletop and video games, how it can be a tool in game design. Loss aversion is a profound aspect of human psychology, and directly relevant to game design; it is a tool the game designer can use to elicit particular emotions in players. Engelstein connects the psychology of loss aversion to a range of phenomena related to games, exploring, for example, the endowment effect—why, when an object is ours, it gains value over an equivalent object that is not ours—as seen in the Weighted Companion Cube in the game Portal; the framing of gains and losses to manipulate player emotions; Deal or No Deal's use of the utility theory; and regret and competence as motivations, seen in the context of legacy games. Finally, Engelstein examines the approach to Loss Aversion in three games by Uwe Rosenberg, charting the designer's increasing mastery.

An introduction to computational thinking that traces a genealogy beginning centuries before the digital computer.A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking” has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview, tracing a genealogy that begins centuries before digital computers and portraying computational thinking as pioneers of computing have described it. The authors explain that computational thinking (CT) is not a set of concepts for programming; it is a way of thinking that is honed through practice: the mental skills for designing computations to do jobs for us, and for explaining and interpreting the world as a complex of information processes. Mathematically trained experts (known as "computers”) who performed complex calculations as teams engaged in CT long before electronic computers. The authors identify six dimensions of today's highly developed CT—methods, machines, computing education, software engineering, computational science, and design—and cover each in a chapter. Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.

Using our moral and technical imaginations to create responsible innovations: theory, method, and applications for value sensitive design.Implantable medical devices and human dignity. Private and secure access to information. Engineering projects that transform the Earth. Multigenerational information systems for international justice. How should designers, engineers, architects, policy makers, and others design such technology? Who should be involved and what values are implicated? In Value Sensitive Design, Batya Friedman and David Hendry describe how both moral and technical imagination can be brought to bear on the design of technology. With value sensitive design, under development for more than two decades, Friedman and Hendry bring together theory, methods, and applications for a design process that engages human values at every stage.After presenting the theoretical foundations of value sensitive design, which lead to a deep rethinking of technical design, Friedman and Hendry explain seventeen methods, including stakeholder analysis, value scenarios, and multilifespan timelines. Following this, experts from ten application domains report on value sensitive design practice. Finally, Friedman and Hendry explore such open questions as the need for deeper investigation of indirect stakeholders and further method development.This definitive account of the state of the art in value sensitive design is an essential resource for designers and researchers working in academia and industry, students in design and computer science, and anyone working at the intersection of technology and society.

A pithy work of philosophical anthropology that explores why humans find moral orders in natural orders.Why have human beings, in many different cultures and epochs, looked to nature as a source of norms for human behavior? From ancient India and ancient Greece, medieval France and Enlightenment America, up to the latest controversies over gay marriage and cloning, natural orders have been enlisted to illustrate and buttress moral orders. Revolutionaries and reactionaries alike have appealed to nature to shore up their causes. No amount of philosophical argument or political critique deters the persistent and pervasive temptation to conflate the "is” of natural orders with the "ought” of moral orders.In this short, pithy work of philosophical anthropology, Lorraine Daston asks why we continually seek moral orders in natural orders, despite so much good counsel to the contrary. She outlines three specific forms of natural order in the Western philosophical tradition—specific natures, local natures, and universal natural laws—and describes how each of these three natural orders has been used to define and oppose a distinctive form of the unnatural. She argues that each of these forms of the unnatural triggers equally distinctive emotions: horror, terror, and wonder. Daston proposes that human reason practiced in human bodies should command the attention of philosophers, who have traditionally yearned for a transcendent reason, valid for all species, all epochs, even all planets.

Investigating the concepts and material realities of energy coursing through the arts: a foundational text.This book investigates energies—in the plural, the energies embedded and embodied in everything under the sun— as they are expressed in the arts. With contributions from scholars and critics from the visual arts, art history, anthropology, music, literature, and the history of science, it offers the first multidisciplinary investigation of the concepts and material realities of energy coursing through the arts. Just as Douglas Kahn's earlier books helped introduce sound as a category for study in the arts, this new volume will be a foundational volume for future explorers in a largely uncharted domain. The modern concept of energy is only two hundred years old—an abstraction grounded in extraction—but this book takes a more expansive view. It opens with a clap: the sonic energies in a ceremony of the indigenous Goolarabooloo people of Australia. Other chapters explore the energies of photography; responses of artists in the early twentieth century—including Marcel Duchamp—to scientific discoveries in electricity and electromagnetism; the aestheticization of entropy in works by Hans Haacke and Robert Smithson; free-jazz musician Milford Graves's cross-cultural engagement with music, science, and spiritualism; energy field performance; and the self-generating energy of rumor and gossip as artwork. Contributors include such leading scholars as Linda Dalrymple Henderson, John Tresch, and Caroline A. Jones. Practicing artists and students of art history will find Energies in the Arts an essential work.ContributorsSusan Ballard, Jennifer Biddle, Marcus Boon, Joan Brassil, Steven Connor, Milford Graves, Daniel Hackbarth, Linda Dalrymple Henderson, Caroline A. Jones, Douglas Kahn, David Mather, Stephen Muecke, James Nisbet, Daniela Silvestrin, Michael Taussig, John Tresch, Melissa Warak

A seasoned Zen practitioner and neurologist looks more deeply at mindfulness, connecting it to our subconscious and to memory and creativity.

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

A new edition a popular introductory linguistics text, thoroughly updated and revised, with new material and new examples.