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.
Why bibliometrics is useful for understanding the global dynamics of science but generate perverse effects when applied inappropriately in research evaluation and university rankings.The research evaluation market is booming. "Ranking,” "metrics,” "h-index,” and "impact factors” are reigning buzzwords. Government and research administrators want to evaluate everything—teachers, professors, training programs, universities—using quantitative indicators. Among the tools used to measure "research excellence,” bibliometrics—aggregate data on publications and citations—has become dominant. Bibliometrics is hailed as an "objective” measure of research quality, a quantitative measure more useful than "subjective” and intuitive evaluation methods such as peer review that have been used since scientific papers were first published in the seventeenth century. In this book, Yves Gingras offers a spirited argument against an unquestioning reliance on bibliometrics as an indicator of research quality. Gingras shows that bibliometric rankings have no real scientific validity, rarely measuring what they pretend to.Although the study of publication and citation patterns, at the proper scales, can yield insights on the global dynamics of science over time, ill-defined quantitative indicators often generate perverse and unintended effects on the direction of research. Moreover, abuse of bibliometrics occurs when data is manipulated to boost rankings. Gingras looks at the politics of evaluation and argues that using numbers can be a way to control scientists and diminish their autonomy in the evaluation process. Proposing precise criteria for establishing the validity of indicators at a given scale of analysis, Gingras questions why universities are so eager to let invalid indicators influence their research strategy.
The life and work of a scientist who spent his career crossing disciplinary boundaries-from experimental neurology to psychiatry to cybernetics to engineering.
Interdisciplinary perspectives on the science, politics, and ethics of the 2013-2015 Ebola virus disease outbreak.The 2013-2015 outbreak of the Ebola virus disease (EVD) was a public health disaster: 28,575 infections and 11,313 deaths (as of October 2015), devastating the countries of Guinea, Liberia, and Sierra Leone; a slow and mismanaged international response; and sensationalistic media coverage, seized upon by politicians to justify wrongheaded policy. And yet there were also promising developments that may improve future responses to infectious disease epidemics: the UN Security Council's first involvement in a public health event; a series of promising clinical treatments and vaccines for EVD; and recognition of the need for a global public health system to deal with epidemics that cross national borders. This volume offers a range of perspectives on these and other lessons learned, with essays on the science, politics, and ethics of the Ebola outbreak.The contributors discuss topics including the virology and management of EVD in both rich and poor nations; the spread of the disease (with an essay by a leader of Médecins Sans Frontières); racist perceptions of West Africa; mainstream and social media responses to Ebola; and the ethical issue of whether to run clinical trials of experimental treatments during an outbreak. ContributorsChristian L. Althaus, Daniel G. Bausch, Adia Benton, Michael J. Connor, Jr., Kim Yi Dionne, Nicholas G. Evans, Morenike Oluwatoyin Folayan, Stephen Goldstein, Bridget Haire, Patricia C. Henwood, Kelly Hills, Cyril Ibe, Marjorie Kruvand, Lisa M. Lee, Maimuna S. Majumder, Alexandra L. Phelan, Annette Rid, Cristine Russell, Lara Schwarz, Laura Seay, Michael Selgelid, Tara C. Smith, Armand Sprecher
A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition.This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition.The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter).ContributorsMichael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille
A concise treatment of modern econometrics and statistics, including underlying ideas from linear algebra, probability theory, and computer programming.This book offers a cogent and concise treatment of econometric theory and methods along with the underlying ideas from statistics, probability theory, and linear algebra. It emphasizes foundations and general principles, but also features many solved exercises, worked examples, and code listings. After mastering the material presented, readers will be ready to take on more advanced work in different areas of quantitative economics and to understand papers from the econometrics literature. The book can be used in graduate-level courses on foundational aspects of econometrics or on fundamental statistical principles. It will also be a valuable reference for independent study.One distinctive aspect of the text is its integration of traditional topics from statistics and econometrics with modern ideas from data science and machine learning; readers will encounter ideas that are driving the current development of statistics and increasingly filtering into econometric methodology. The text treats programming not only as a way to work with data but also as a technique for building intuition via simulation. Many proofs are followed by a simulation that shows the theory in action. As a primer, the book offers readers an entry point into the field, allowing them to see econometrics as a whole rather than as a profusion of apparently unrelated ideas.
Texts by Hans Haacke that range from straightforward descriptions of his artworks to wide-ranging reflections on the relationship between art and politics.Hans Haacke's art articulates the interdependence of multiple elements. An artwork is not merely an object but is also its context—the economic, social, and political conditions of the art world and the world at large. Among his best-known works are MoMA-Poll (1970), which polled museumgoers on their opinions about Nelson Rockefeller and the Nixon administration's Indochina policy; Gallery-Goers' Birthplace and Residence Profile (1969), which canvassed visitors to the Howard Wise Gallery in Manhattan; and the famously canceled 1971 solo exhibition at the Guggenheim Museum, which was meant to display, among other things, works on two New York real estate empires.This volume collects writings by Haacke that explain and document his practice. The texts, some of which have never before been published, run from straightforward descriptions to wide-ranging reflections and full-throated polemics. They include correspondence with MoMA and the Guggenheim and a letter refusing to represent the United States at the 1969 São Paulo Biennial; the title piece, "Working Conditions,” which discusses corporate influence on the art world; Haacke's thinking about "real-time social systems”; and texts written for museum catalogs on various artworks, including GERMANIA, in the German Pavilion of the 1993 Venice Biennial; DER BEVÖLKERUNG (To the Population) of 2000 at the Berlin Reichstag; Mixed Messages, an exhibition of objects from the Victoria and Albert Museum (2001); and Gift Horse, unveiled on the fourth plinth in Trafalgar Square in 2015.
Essays, dialogues, and art projects that illuminate the changing role of art as it responds to radical economic, political, and global shifts.How should we understand the purpose of publicly engaged art in the twenty-first century, when the very term "public art” is largely insufficient to describe such practices? Concepts such as "new genre public art,” "social practice,” or "socially engaged art” may imply a synergy between the role of art and the role of government in providing social services. Yet the arts and social services differ crucially in terms of their methods and metrics. Socially engaged artists need not be aligned (and may often be opposed) to the public sector and to institutionalized systems. In many countries, structures of democratic governance and public responsibility are shifting, eroding, and being remade in profound ways—driven by radical economic, political, and global forces. According to what terms and through what means can art engage with these changes? This volume gathers essays, dialogues, and art projects—some previously published and some newly commissioned—to illuminate the ways the arts shape and reshape a rapidly changing social and governmental landscape. An artist portfolio section presents original statements and projects by some of the key figures grappling with these ideas.
A mathematical framework that describes learning of invariant representations in the ventral stream, offering both theoretical development and applications.
A comprehensive and unified account of the neural computations underlying speech production, offering a theoretical framework bridging the behavioral and the neurological literatures.In this book, Frank Guenther offers a comprehensive, unified account of the neural computations underlying speech production, with an emphasis on speech motor control rather than linguistic content. Guenther focuses on the brain mechanisms responsible for commanding the musculature of the vocal tract to produce articulations that result in an acoustic signal conveying a desired string of syllables. Guenther provides neuroanatomical and neurophysiological descriptions of the primary brain structures involved in speech production, looking particularly at the cerebral cortex and its interactions with the cerebellum and basal ganglia, using basic concepts of control theory (accompanied by nontechnical explanations) to explore the computations performed by these brain regions.Guenther offers a detailed theoretical framework to account for a broad range of both behavioral and neurological data on the production of speech. He discusses such topics as the goals of the neural controller of speech; neural mechanisms involved in producing both short and long utterances; and disorders of the speech system, including apraxia of speech and stuttering. Offering a bridge between the neurological and behavioral literatures on speech production, the book will be a valuable resource for researchers in both fields.
First person accounts by pioneers in the field, classic essays, and new scholarship document the collaborative and creative practices of early social media.
The economic and political aspects of energy subsidies, viewed both theoretically and empirically, with a focus on fossil fuel subsidies in developing nations.Government subsidies to energy are widespread and represent a heavy burden on public budgets in many countries. Both producers and consumers may be subsidized; the most common subsidies are for motor fuel consumption and electricity production and consumption. The subsidies to consumers often prove particularly harmful because they result in increased energy consumption, increased carbon emissions, and distortionary effects on consumer behavior. This book fills a void in the literature by providing a first, broad and diverse, analysis of several aspects of the economic and political economy aspects of government energy subsidies. The contributors take both theoretical and empirical approaches, with most of the focus on subsidies to fuel and electricity in non-OECD countries.The chapters cover such topics as energy pricing, reelection incentives for politicians that may encourage excessive subsidies; political corruption and "bribing equilibria,” the the "resource curse” in developing countries when the gains from natural resource windfalls are largely wasted, the "entitlement” of energy subsidies in autocracies, and distributional issues when subsidies targeted to the poor are removed in high-income countries. One chapter discusses nonharmful subsidies: the potential economic effects of subsidizing the manufacturing and deployment of renewable energy. ContributorsCarolyn Fischer, Mads Greaker, Mohammad Habibpour, Michelle Harding, Christina Kolerus, Christos Kotsogiannis, Jim Krane, Alber Touna Mama, Raffaele Miniaci, Marco Pani, Ian Parry, Carlo Perroni, Leonzio Rizzo, Knut Einar Rosendahl, Carlo Scarpa, Neda Seiban, Suphi Sen, Jon Strand, Paola Valbonesi, Herman Vollebergh
Can religion cure poverty? The first book to explore the ideas about God and government behind the faith-based initiative.
The new edition of an introduction to multiagent systems that captures the state of the art in both theory and practice, suitable as textbook or reference.Multiagent systems are made up of multiple interacting intelligent agents—computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice. It is suitable for classroom use or independent study.This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in 1999. Sixteen of the book's seventeen chapters were written for this edition; all chapters are by leaders in the field, with each author contributing to the broad base of knowledge and experience on which the book rests.The book covers basic concepts of computational agency from the perspective of both individual agents and agent organizations; communication among agents; coordination among agents; distributed cognition; development and engineering of multiagent systems; and background knowledge in logics and game theory. Each chapter includes references, many illustrations and examples, and exercises of varying degrees of difficulty. The chapters and the overall book are designed to be self-contained and understandable without additional material. Supplemental resources are available on the book's Web site.ContributorsRafael Bordini, Felix Brandt, Amit Chopra, Vincent Conitzer, Virginia Dignum, Jürgen Dix, Ed Durfee, Edith Elkind, Ulle Endriss, Alessandro Farinelli, Shaheen Fatima, Michael Fisher, Nicholas R. Jennings, Kevin Leyton-Brown, Evangelos Markakis, Lin Padgham, Julian Padget, Iyad Rahwan, Talal Rahwan, Alex Rogers, Jordi Sabater-Mir, Yoav Shoham, Munindar P. Singh, Kagan Tumer, Karl Tuyls, Wiebe van der Hoek, Laurent Vercouter, Meritxell Vinyals, Michael Winikoff, Michael Wooldridge, Shlomo Zilberstein
How communication technologies meant to empower people with speech disorders-to give voice to the voiceless-are still subject to disempowering structural inequalities.
The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies.
A comprehensive introduction and reference guide to the minimum description length (MDL) Principle that is accessible to researchers dealing with inductive reference in diverse areas including statistics, pattern classification, machine learning, data mining, biology, econometrics, and experimental psychology, as well as philosophers interested in the foundations of statistics.The minimum description length (MDL) principle is a powerful method of inductive inference, the basis of statistical modeling, pattern recognition, and machine learning. It holds that the best explanation, given a limited set of observed data, is the one that permits the greatest compression of the data. MDL methods are particularly well-suited for dealing with model selection, prediction, and estimation problems in situations where the models under consideration can be arbitrarily complex, and overfitting the data is a serious concern. This extensive, step-by-step introduction to the MDL Principle provides a comprehensive reference (with an emphasis on conceptual issues) that is accessible to graduate students and researchers in statistics, pattern classification, machine learning, and data mining, to philosophers interested in the foundations of statistics, and to researchers in other applied sciences that involve model selection, including biology, econometrics, and experimental psychology. Part I provides a basic introduction to MDL and an overview of the concepts in statistics and information theory needed to understand MDL. Part II treats universal coding, the information-theoretic notion on which MDL is built, and part III gives a formal treatment of MDL theory as a theory of inductive inference based on universal coding. Part IV provides a comprehensive overview of the statistical theory of exponential families with an emphasis on their information-theoretic properties. The text includes a number of summaries, paragraphs offering the reader a "e;fast track"e; through the material, and boxes highlighting the most important concepts.
Does action always arise out of desire? G.F. Schueler examines this hotly debated topic in philosophy of action and moral philosophy, arguing that once two senses of "desire" are distinguished-roughly, genuine desires and pro attitudes-apparently plausible explanations of action in terms of the agent's desires can be seen to be mistaken.
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
An interdisciplinary overview of current research on imitation in animals and artifacts.
The MIT Sloan School of Management perspective on future management challenges.
Prenumerera på vårt nyhetsbrev för att få fantastiska erbjudanden och inspiration för din nästa läsning.
Genom att registrera dig accepterar du vår personuppgiftspolicy.
