Books published by MIT Press Ltd

A more powerful innovation, which seeks to discover not how things work but why we need things.The standard text on innovation advises would-be innovators to conduct creative brainstorming sessions and seek input from outsiders—users or communities. This kind of innovating can be effective at improving products but not at capturing bigger opportunities in the marketplace. In this book Roberto Verganti offers a new approach—one that does not set out to solve existing problems but to find breakthrough meaningful experiences. There is no brainstorming—which produces too many ideas, unfiltered—but a vision, subject to criticism. It does not come from outsiders but from one person's unique interpretation.The alternate path to innovation mapped by Verganti aims to discover not how things work but why we need things. It gives customers something more meaningful—something they can love. Verganti describes the work of companies, including Nest Labs, Apple, Yankee Candle, and Philips Healthcare, that have created successful businesses by doing just this. Nest Labs, for example, didn't create a more advanced programmable thermostat, because people don't love to program their home appliances. Nest's thermostat learns the habits of the household and bases its temperature settings accordingly.Verganti discusses principles and practices, methods and implementation. The process begins with a vision and proceeds through developmental criticism, first from a sparring partner and then from a circle of radical thinkers, then from external experts and interpreters, and only then from users.Innovation driven by meaning is the way to create value in our current world, where ideas are abundant but novel visions are rare. If something is meaningful for both the people who create it and the people who consume it, business value follows.

The first comprehensive and detailed presentation of techniques for authenticating digital images.

How right-wing political entrepreneurs around the world use religious offense-both given and taken-to mobilize supporters and marginalize opponents.

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.

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

How memetic media-aggregate texts that are collectively created, circulated, and transformed-become a part of public conversations that shape broader cultural debates.

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

How better information and better access to it improves the quality of our decisions and makes for a more vibrant participatory society.

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.