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Each of us has an ever-growing collection of personal digital data: documents, photographs, PowerPoint presentations, videos, music, emails and texts sent and received. To access any of this, we have to find it. The ease (or difficulty) of finding something depends on how we organize our digital stuff. In this book, personal information management (PIM) experts Ofer Bergman and Steve Whittaker explain why we organize our personal digital data the way we do and how the design of new PIM systems can help us manage our collections more efficiently. Bergman and Whittaker describe personal information collection as curation: we preserve and organize this data to ensure our future access to it. Unlike other information management fields, in PIM the same user organizes and retrieves the information. After explaining the cognitive and psychological reasons that so many prefer folders, Bergman and Whittaker propose the user-subjective approach to PIM, which does not replace folder hierarchies but exploits these unique characteristics of PIM.

A unique, sophisticated treatment of the spontaneous and reflective dimension of human experience.

The militarized legacy of the digital cloud: how the cloud grew out of older network technologies and politics.

A theoretical and practical guide to integrating human values into the conception and design of digital games.

The cultural contradictions of early video games: a medium for family fun (but mainly for middle-class boys), an improvement over pinball and television (but possibly harmful)

A textbook that combines economic concepts with empirical evidence to explain in economic terms how health care institutions and markets function.

An account of the complex relationship between technology and romanticism that links nineteenth-century monsters, automata, and mesmerism with twenty-first-century technology's magic devices and romantic cyborgs.

The fourth edition of an authoritative overview, with all new chapters that capture the state of the art in a rapidly growing field.Science and Technology Studies (STS) is a flourishing interdisciplinary field that examines the transformative power of science and technology to arrange and rearrange contemporary societies. The Handbook of Science and Technology Studies provides a comprehensive and authoritative overview of the field, reviewing current research and major theoretical and methodological approaches in a way that is accessible to both new and established scholars from a range of disciplines. This new edition, sponsored by the Society for Social Studies of Science, is the fourth in a series of volumes that have defined the field of STS. It features 36 chapters, each written for the fourth edition, that capture the state of the art in a rich and rapidly growing field. One especially notable development is the increasing integration of feminist, gender, and postcolonial studies into the body of STS knowledge. The book covers methods and participatory practices in STS research; mechanisms by which knowledge, people, and societies are coproduced; the design, construction, and use of material devices and infrastructures; the organization and governance of science; and STS and societal challenges including aging, agriculture, security, disasters, environmental justice, and climate change.

An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems.Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks—usually dull, repetitive ones. Starting from simple building blocks, computer algorithms enable machines to recognize and produce speech, translate texts, categorize and summarize documents, describe images, and predict the weather. A task that would take hours can be completed in virtually no time by using a few lines of code in a modern scripting program. This book offers an introduction to algorithms through the real-world problems they solve. The algorithms are presented in pseudocode and can readily be implemented in a computer language.The book presents algorithms simply and accessibly, without overwhelming readers or insulting their intelligence. Readers should be comfortable with mathematical fundamentals and have a basic understanding of how computers work; all other necessary concepts are explained in the text. After presenting background in pseudocode conventions, basic terminology, and data structures, chapters cover compression, cryptography, graphs, searching and sorting, hashing, classification, strings, and chance. Each chapter describes real problems and then presents algorithms to solve them. Examples illustrate the wide range of applications, including shortest paths as a solution to paragraph line breaks, strongest paths in elections systems, hashes for song recognition, voting power Monte Carlo methods, and entropy for machine learning. Real-World Algorithms can be used by students in disciplines from economics to applied sciences. Computer science majors can read it before using a more technical text.

This book provides an issue-driven introduction to industrial organization.

Two experts in monetary policy offer a unified framework for studying the role of money and liquid assets in the economy.

This student solutions manual for Health Economics provides answers to the odd-numbered exercises.

Using formal systems to represent and reason about uncertainty.

A concise introduction to the theory of contracts, emphasizing basic tools that allow the reader to understand the main theoretical models; revised and updated throughout for this edition.

A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation.

This introduction to programming places computer science in the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process.

Imagining a future in which humans fundamentally reshape the natural world using nanotechnology, synthetic biology, de-extinction, and climate engineering.

How forty years of research on thirty neurons in the stomach of a lobster has yielded valuable insights for the study of the human brain.Neuroscientist Eve Marder has spent forty years studying thirty neurons on the stomach of a lobster. Her focus on this tiny network of cells has yielded valuable insights into the much more complex workings of the human brain; she has become a leading voice in neuroscience. In Lessons from the Lobster, Charlotte Nassim describes Marder's work and its significance accessibly and engagingly, tracing the evolution of a supremely gifted scientist's ideas. From the lobster's digestion to human thought is very big leap indeed. Our brains selectively recruit networks from about ninety billion available neurons; the connections are extremely complex. Nevertheless, as Nassim explains, Marder's study of a microscopic knot of stomatogastric neurons in lobsters and crabs, a small network with a countable number of neurons, has laid vital foundations for current brain research projects. Marder's approach is as intuitive as it is analytic, but always firmly anchored to data. Every scrap of information is a pointer for Marder; her discoveries depend on her own creative thinking as much as her laboratory's findings. Nassim describes Marder's important findings on neuromodulation, the secrets of neuronal networks, and homeostasis. Her recognition of the importance of animal-to-animal variability has influenced research methods everywhere.Marder has run her laboratory at Brandeis University since 1978. She was President of the Society for Neuroscience in 2008 and she is the recipient of numerous awards, including the 2016 Kavli Award in Neuroscience and the 2013 Gruber Prize in Neuroscience. Research that reaches the headlines often depends on technical fireworks, and especially on spectacular images. Marder's work seldom fits that pattern, but this book demonstrates that a brilliant scientist working carefully and thoughtfully can produce groundbreaking results.

Both state-space models and Markov switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents advances in econometric methods that make feasible the estimation of models that have both features.

A thoroughly revised and updated edition of the leading textbook on government and business policy, presenting the key principles underlying sound regulatory and antitrust policy.

The substantially revised fourth edition of a widely used text, offering both an introduction to recursive methods and advanced material, mixing tools and sample applications.Recursive methods provide powerful ways to pose and solve problems in dynamic macroeconomics. Recursive Macroeconomic Theory offers both an introduction to recursive methods and more advanced material. Only practice in solving diverse problems fully conveys the advantages of the recursive approach, so the book provides many applications. This fourth edition features two new chapters and substantial revisions to other chapters that demonstrate the power of recursive methods. One new chapter applies the recursive approach to Ramsey taxation and sharply characterizes the time inconsistency of optimal policies. These insights are used in other chapters to simplify recursive formulations of Ramsey plans and credible government policies. The second new chapter explores the mechanics of matching models and identifies a common channel through which productivity shocks are magnified across a variety of matching models. Other chapters have been extended and refined. For example, there is new material on heterogeneous beliefs in both complete and incomplete markets models; and there is a deeper account of forces that shape aggregate labor supply elasticities in lifecycle models. The book is suitable for first- and second-year graduate courses in macroeconomics. Most chapters conclude with exercises; many exercises and examples use Matlab or Python computer programming languages.

A new edition of a comprehensive introduction to the philosophy of language, substantially updated and reorganized.The philosophy of language aims to answer a broad range of questions about the nature of language, including "what is a language?” and "what is the source of meaning?” This accessible comprehensive introduction to the philosophy of language begins with the most basic properties of language and only then proceeds to the phenomenon of meaning. The second edition has been significantly expanded and reorganized, putting the original content in a contemporary context and offering substantial new material, with extended discussions and entirely new chapters.After establishing the basics, the book discusses general criteria for an adequate theory of meaning, takes a first pass at describing meaning at an abstract level, and distinguishes between meaning and other related phenomena. Building on this, the book then addresses various specific theories of meaning, beginning with early foundational theories and proceeding to more contemporary ones. New to this edition are expanded discussions of Chomsky's work and compositional semantics, among other topics, and new chapters on such subjects as propositions, Montague grammar, and contemporary theories of language. Each chapter has technical terms in bold, followed by definitions, and offers a list of main points and suggested further readings. The book is suitable for use in undergraduate courses in philosophy and linguistics. Some background in philosophy is assumed, but knowledge of philosophy of language is not necessary.

A new edition of a book that details the system of transformation underlying the 14 Points for Management presented in Deming's Out of the Crisis.It would be better if everyone would work together as a system, with the aim for everybody to win. What we need is cooperation and transformation to a new style of management.”—from The New Economics for Industry, Government, EducationIn this book, W. Edwards Deming details the system of transformation that underlies the 14 Points for Management presented in Out of the Crisis. The Deming System of Profound Knowledge, as it is called, consists of four parts: appreciation for a system, knowledge about variation, theory of knowledge, and psychology. Describing the prevailing management style as a prison, Deming shows applying the System of Profound Knowledge increases productivity, quality, and people's joy in work and joy in learning. Another outcome is short-term and long-term success in the market. Indicative of Deming's philosophy is his advice to abolish performance reviews on the job, to look deeper than spreadsheets for opportunities, and even to rethink how we teach and manage our schools. Moreover, Deming's method enables organizations to make accurate predictions, which is a valuable tool in today's uncertain economic climate.This third edition features a new chapter (written by business consultant and Deming expert Kelly L. Allan) that explains the relevance of Deming's management method, and case studies from organizations that have adopted Deming's System of Profound Knowledge, and offers guidance on how organizations can effectively "do Deming.”

A review of the scientific evidence on the effects of cannabinoids on brain and behavioral functioning, with an emphasis on potential therapeutic use.

A thoroughly revised and updated edition of a textbook for graduate students in finance, with new coverage of global financial institutions.This thoroughly revised and updated edition of a widely used textbook for graduate students in finance now provides expanded coverage of global financial institutions, with detailed comparisons of U.S. systems with non-U.S. systems. A focus on the actual practices of financial institutions prepares students for real-world problems.After an introduction to financial markets and market participants, including asset management firms, credit rating agencies, and investment banking firms, the book covers risks and asset pricing, with a new overview of risk; the structure of interest rates and interest rate and credit risks; the fundamentals of primary and secondary markets; government debt markets, with new material on non-U.S. sovereign debt markets; corporate funding markets, with new coverage of small and medium enterprises and entrepreneurial ventures; residential and commercial real estate markets; collective investment vehicles, in a chapter new to this edition; and financial derivatives, including financial futures and options, interest rate derivatives, foreign exchange derivatives, and credit risk transfer vehicles such as credit default swaps. Each chapter begins with learning objectives and ends with bullet point takeaways and questions.

If we send a message into space, will extraterrestrial beings receive it? Will they understand?The endlessly fascinating question of whether we are alone in the universe has always been accompanied by another, more complicated one: if there is extraterrestrial life, how would we communicate with it? In this book, Daniel Oberhaus leads readers on a quest for extraterrestrial communication. Exploring Earthlings' various attempts to reach out to non-Earthlings over the centuries, he poses some not entirely answerable questions: If we send a message into space, will extraterrestrial beings receive it? Will they understand? What languages will they (and we) speak? Is there not only a universal grammar (as Noam Chomsky has posited), but also a grammar of the universe? Oberhaus describes, among other things, a late-nineteenth-century idea to communicate with Martians via Morse code and mirrors; the emergence in the twentieth century of SETI (the search for extraterrestrial intelligence), CETI (communication with extraterrestrial intelligence), and finally METI (messaging extraterrestrial intelligence); the one-way space voyage of Ella, an artificial intelligence agent that can play cards, tell fortunes, and recite poetry; and the launching of a theremin concert for aliens. He considers media used in attempts at extraterrestrial communication, from microwave systems to plaques on spacecrafts to formal logic, and discusses attempts to formulate a language for our message, including the Astraglossa and two generations of Lincos (lingua cosmica).The chosen medium for interstellar communication reveals much about the technological sophistication of the civilization that sends it, Oberhaus observes, but even more interesting is the information embedded in the message itself. In Extraterrestrial Languages, he considers how philosophy, linguistics, mathematics, science, and art have informed the design or limited the effectiveness of our interstellar messaging.

An introduction to the use of probability models for analyzing risk and economic decisions, using spreadsheets to represent and simulate uncertainty.This textbook offers an introduction to the use of probability models for analyzing risks and economic decisions. It takes a learn-by-doing approach, teaching the student to use spreadsheets to represent and simulate uncertainty and to analyze the effect of such uncertainty on an economic decision. Students in applied business and economics can more easily grasp difficult analytical methods with Excel spreadsheets. The book covers the basic ideas of probability, how to simulate random variables, and how to compute conditional probabilities via Monte Carlo simulation. The first four chapters use a large collection of probability distributions to simulate a range of problems involving worker efficiency, market entry, oil exploration, repeated investment, and subjective belief elicitation. The book then covers correlation and multivariate normal random variables; conditional expectation; optimization of decision variables, with discussions of the strategic value of information, decision trees, game theory, and adverse selection; risk sharing and finance; dynamic models of growth; dynamic models of arrivals; and model risk. New material in this second edition includes two new chapters on additional dynamic models and model risk; new sections in every chapter; many new end-of-chapter exercises; and coverage of such topics as simulation model workflow, models of probabilistic electoral forecasting, and real options. The book comes equipped with Simtools, an open-source, free software used througout the book, which allows students to conduct Monte Carlo simulations seamlessly in Excel.