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Precisely: Working with Precision Systems in a World of Data
by Zachary Tumin Madeleine WantIf you want to win an election, improve the health of a city, or thrill your customers, you’re going to need precision systems—the highly engineered working arrangements of teams, processes, and technologies that put data and AI to work creating the change that leaders want, exactly how they want it. Big Tech firms like Amazon, Google, Apple, and Facebook have mastered their own precision systems, building trillion-dollar businesses using data-driven tools from mass-market “nudges” to industrial-grade recommendation systems.Precisely is the playbook for the rest of us. Zachary Tumin and Madeleine Want show how leaders in every domain are taking real-time precision systems into the marketplace, the political race, and the fight for health—from New York-Presbyterian Hospital to the New York Times, the NFL’s Baltimore Ravens to BNSF Railroad, the Biden-Harris campaign to the NYPD—to reveal elusive patterns, perform a repetitive task, run a play, or tailor a message, one at a time or by the millions.Precisely provides insight that will help leaders choose the system that’s right for them, decide which problem to tackle first, sell the importance of precision to stakeholders, power-up the people and the technology, and accomplish change that delivers precisely what’s needed every time—and do it all responsibly.
Precision Community Health: Four Innovations for Well-being
by Bechara ChoucairWhen Bechara Choucair was a young doctor, he learned an important lesson: treating a patient for hypothermia does little good if she has to spend the next night out in the freezing cold. As health commissioner of Chicago, he was determined to address the societal causes of disease and focus the city's resources on its most vulnerable populations. That targeted approach has led to dramatic successes, such as lowering rates of smoking, teen pregnancy, breast cancer mortalities, and other serious ills.In Precision Community Health, Choucair shows how those successes can be replicated and expanded around the country. The key is to use advanced technologies to identify which populations are most at risk for specific health threats and avert crises before they begin. Big data makes precision community health possible. But in our increasingly complex world, we also need new strategies for developing effective coalitions, media campaigns, and policies. This book showcases four innovations that move public health departments away from simply dispensing medical care and toward supporting communities to achieve true well-being.The approach Choucair pioneered in Chicago requires broadening our thinking about what constitutes public health. It is not simply about access to a doctor, but access to decent housing, jobs, parks, food, and social support. It also means acknowledging that a one-size-fits-all strategy may exacerbate inequities. By focusing on those most in need, we create an agenda that is simultaneously more impactful and more achievable. The result is a wholesale change in the way public health is practiced and in the well-being of all our communities.
The Precision Farming Revolution: Global Drivers of Local Agricultural Methods
by James E. AddicottThis book examines the precision farming revolution in Somerset, England. It reveals the reasons why local farmers invested in autonomous systems and traces the outcomes of adoption. It describes the local and global drivers of the fourth industrial revolution, from world population growth, climatic and ecological crises, profit driven farming and government agri-tech grants, to the Space Race era. A new cultural method of intelligence, ideas and thinking, new organisational and control powers, was precisely what precision farming offered farmers and off-farm firms, who were able to remotely monitor and control natural environments and aspects of on-farm activities. As a result of local farmers opting into precision farming systems the power dynamics of industrial agriculture were reorganised and this book will offer readers an understanding of how and why.
Precision Retailing: Driving Results with Behavioral Insights and Data Analytics (Behaviorally Informed Organizations)
by Laurette Dubé Maxime C. Cohen Nathan Yang Bassem MonlaWithout a doubt, the COVID-19 era has forced the retail sector to rethink the way it conducts business. Customer experience has largely shifted into the digital realm, and questions have emerged about how to best optimize and evolve business operations in light of this change. Drawing on a host of expert contributors, Precision Retailing takes a broad perspective on precision retailing as the interaction point between individuals and the organizations, institutions, systems, and policies that support them in ever-changing contexts. The book assembles precision retailing key concepts, methods, and tools that complement existing behavioral research. The decision support tools will help managers better capture in real time the multiscale drivers of consumer behavior and successfully integrate these into their retail strategy and tactics. Each chapter includes a short strategic brief for successful human-centered digital transformation that focuses squarely on actionable insights for practitioners. Shedding light on the way we understand and handle this complex customer journey, Precision Retailing examines how retail will evolve in the post-COVID era, shaping how businesses meet the inevitable continuation of the digital transition.
Predict and Surveil: Data, Discretion, and the Future of Policing
by Sarah BrayneThe scope of criminal justice surveillance has expanded rapidly in recent decades. At the same time, the use of big data has spread across a range of fields, including finance, politics, healthcare, and marketing. While law enforcement's use of big data is hotly contested, very little is known about how the police actually use it in daily operations and with what consequences.
Predictably Irrational: The Hidden Forces That Shape Our Decisions
by Dan ArielyWe all think we make smart, rational choices, right? Ariely explains how expectations, emotions, social norms, and other invisible forces skew our reasoning abilities. Not only do we make astonishingly simple mistakes, we make the same types of mistakes. We consistently overpay, underestimate, and procrastinate. We fail to understand the profound effects of our emotions on what we want, and we overvalue what we already own. Yet these misguided behaviors are neither random nor senseless. They're systematic and predictable, making us predictably irrational. Ariely explains how to break through these patterns of thought to make better decisions.
Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions
by Dr Dan Ariely"A marvelous book… thought provoking and highly entertaining." —Jerome Groopman, New York Times bestselling author of How Doctors Think "Ariely not only gives us a great read; he also makes us much wiser." —George Akerlof, 2001 Nobel Laureate in Economics "Revolutionary." —New York Times Book Review Why do our headaches persist after we take a one-cent aspirin but disappear when we take a fifty-cent aspirin? Why do we splurge on a lavish meal but cut coupons to save twenty-five cents on a can of soup?When it comes to making decisions in our lives, we think we're making smart, rational choices. But are we?In this newly revised and expanded edition of the groundbreaking New York Times bestseller, Dan Ariely refutes the common assumption that we behave in fundamentally rational ways. From drinking coffee to losing weight, from buying a car to choosing a romantic partner, we consistently overpay, underestimate, and procrastinate. Yet these misguided behaviors are neither random nor senseless. They're systematic and predictable—making us predictably irrational.
Predicted Humans: Emerging Technologies and the Burden of Sensemaking (Media, Culture and Critique: Future Imperfect)
by Simona ChiodoPredicting our future as individuals is central to the role of much emerging technology, from hiring algorithms that predict our professional success (or failure) to biomarkers that predict how long (or short) our healthy (or unhealthy) life will be. Yet, much in Western culture, from scripture to mythology to philosophy, suggests that knowing one’s future may not be in the subject’s best interests and might even lead to disaster. If predicting our future as individuals can be harmful as well as beneficial, why are we so willing to engage in so much prediction, from cradle to grave?This book offers a philosophical answer, reflecting on seminal texts in Western culture to argue that predicting our future renders much of our existence the automated effect of various causes, which, in turn, helps to alleviate the existential burden of autonomously making sense of our lives in a more competitive, demanding, accelerated society. An exploration of our tendency in a technological era to engineer and so rid ourselves of that which has hitherto been our primary reason for being – making life plans for a successful future, while faced with epistemological and ethical uncertainties – Predicted Humans will appeal to scholars of philosophy and social theory with interests in questions of moral responsibility and meaning in an increasingly technological world.
Predicting and Changing Behavior: The Reasoned Action Approach
by Martin Fishbein Icek AjzenThis book describes the reasoned action approach, an integrative framework for the prediction and change of human social behavior. It provides an up-to-date review of relevant research, discusses critical issues related to the reasoned action framework, and provides methodological and conceptual tools for the prediction and explanation of social behavior and for designing behavior change interventions.
Predicting the Presidency: The Potential of Persuasive Leadership
by George C. Edwards IIIMillions of Americans—including many experienced politicians—viewed Barack Obama through a prism of high expectations, based on a belief in the power of presidential persuasion. Yet many who were inspired by candidate Obama were disappointed in what he was able to accomplish once in the White House. They could not understand why he often was unable to leverage his position and political skills to move the public and Congress to support his initiatives. Predicting the Presidency explains why Obama had such difficulty bringing about the change he promised, and challenges the conventional wisdom about presidential leadership. In this incisive book, George Edwards shows how we can ask a few fundamental questions about the context of a presidency—the president's strategic position or opportunity structure—and use the answers to predict a president's success in winning support for his initiatives. If presidential success is largely determined by a president's strategic position, what role does persuasion play? Almost every president finds that a significant segment of the public and his fellow partisans in Congress are predisposed to follow his lead. Others may support the White House out of self-interest. Edwards explores the possibilities of the president exploiting such support, providing a more realistic view of the potential of presidential persuasion. Written by a leading presidential scholar, Predicting the Presidency sheds new light on the limitations and opportunities of presidential leadership.
Predictive Analytics
by Thomas H. Davenport Eric Siegel"The Freakonomics of big data."--Stein Kretsinger, founding executive of Advertising.com; former lead analyst at Capital OneThis book is easily understood by all readers. Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted -- by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future -- lifting a bit of the fog off our hazy view of tomorrow -- means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction:What type of mortgage risk Chase Bank predicted before the recession.Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves.Why early retirement decreases life expectancy and vegetarians miss fewer flights.Five reasons why organizations predict death, including one health insurance company.How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual.How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy!How companies ascertain untold, private truths -- how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job.How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free.What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward -- but that can be predicted in advance?Whether you are a consumer of it -- or consumed by it -- get a handle on the power of Predictive Analytics.
Predictive Analytics
by Eric Siegel"Mesmerizing & fascinating..." --The Seattle Post-Intelligencer "The Freakonomics of big data." --Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating -- surprisingly accessible -- introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction -- now in its Revised and Updated edition -- former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death -- including one health insurance company. How U.S. Bank and Obama for America calculated -- and Hillary for America 2016 plans to calculate -- the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths -- how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you
Predictive Analytics for Marketers: Using Data Mining for Business Advantage
by Barry LeventhalPredictive Analytics has revolutionised marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this enables companies to forecast consumer behaviour and much more. Predictive Analytics for Marketers will guide marketing professionals on how to apply predictive analytical tools to streamline business practices. Including comprehensive coverage of an array of predictive analytic tools and techniques, this book enables readers to harness patterns from past data, to make accurate and useful predictions that can be converted to business success. Truly global in its approach, the insights these techniques offer can be used to manage resources more effectively across all industries and sectors. Written in clear, non-technical language, Predictive Analytics for Marketers contains case studies from the author's more than 25 years of experience and articles from guest contributors, demonstrating how predictive analytics has been used to successfully achieve a range of business purposes.
Predictive HR Analytics: Mastering the HR Metric
by Dr Martin Edwards Kirsten EdwardsHR metrics and organizational people-related data are an invaluable source of information from which to identify key trends and patterns in order to make effective business decisions. HR practitioners often, however, lack the statistical and analytical know-how to fully harness their potential. Predictive HR Analytics provides a clear, accessible framework with which to understand and work with people analytics and advanced statistical techniques. Step-by-step and by using worked examples, this book shows readers how to carry out and interpret analyses of various forms of HR data, such as employee engagement, performance and turnover, using the statistical packages SPSS (with R syntax provided), and, importantly, how to use the results to enable practitioners to develop effective evidence-based HR strategies.This second edition of Predictive HR Analytics has been updated to include new material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using Kaplan Meier Survival analyses for tenure/turnover modelling and updated screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding for the focal analyses approaches in the book, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.
Predictive HR Analytics: Mastering the HR Metric
by Dr Martin Edwards Kirsten Edwards Daisung JangThis is the essential guide for HR practitioners who want to gain the statistical and analytical knowledge to fully harness the potential of HR metrics and organizational people-related data.The ability to use and analyse data has become an invaluable skill for HR professionals to not only identify trends and patterns, but also make well-informed business decisions. The third edition of Predictive HR Analytics provides a clear, accessible framework for understanding people data, working with people analytics and advanced statistical techniques.Readers will be taken step-by-step through worked examples, showing them how to carry out analyses and interpret HR data in areas such as employee engagement, performance and turnover. Learn how to make effective business decision with this updated edition that includes the latest materials on biased algorithms and data protection, supported by online resources consisting of R and Excel data sets.
Predictive Intelligence in Medicine: 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings (Lecture Notes in Computer Science #13564)
by Islem Rekik Ehsan Adeli Sang Hyun Park Celia CintasThis book constitutes the proceedings of the 5th International Workshop on Predictive Intelligence in Medicine, PRIME 2022, held in conjunction with MICCAI 2022 as a hybrid event in Singapore, in September 2022.The 19 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.
Predictive Intelligence in Medicine: Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings (Lecture Notes in Computer Science #12329)
by Islem Rekik Ehsan Adeli Sang Hyun Park Maria del C. Valdés HernándezThis book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually due to the COVID-19 pandemic. The 17 full and 2 short papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.
Predisposed: The Left, The Right, and the Biology of Political Differences
by John R. Hibbing Kevin B. Smith John R. AlfordThis thoughtfully updated revision of a classic text sheds new light on the potential sociological and biological differences that result in deep, seemingly unbridgeable political divisions.Renowned social scientists and experts in biopolitics, John R. Hibbing, Kevin B. Smith, and John R. Alford present overwhelming evidence that political opinion is shaped not just by cultural background or information bias but is rather the result of diverse psychological, physiological, and genetic traits. This new edition shifts the emphasis from differences between the political left and the right (liberals and conservatives) as they have traditionally been understood and explores specific brands of liberalism and conservatism such as ardent supporters of politicians such as Donald Trump.An essential read for students and scholars of political psychology and party politics, this book invites the reader to reconsider their perspectives on public opinion and partisan conflict.
Predisposed: Liberals, Conservatives, and the Biology of Political Differences
by John R. Hibbling Kevin B. Smith John R. Alford<p>Buried in many people and operating largely outside the realm of conscious thought are forces inclining us toward liberal or conservative political convictions. Our biology predisposes us to see and understand the world in different ways, not always reason and the careful consideration of facts. These predispositions are in turn responsible for a significant portion of the political and ideological conflict that marks human history. <p>With verve and wit, renowned social scientists John Hibbing, Kevin Smith, and John Alford―pioneers in the field of biopolitics―present overwhelming evidence that people differ politically not just because they grew up in different cultures or were presented with different information. Despite the oft-heard longing for consensus, unity, and peace, the universal rift between conservatives and liberals endures because people have diverse psychological, physiological, and genetic traits. These biological differences influence much of what makes people who they are, including their orientations to politics. <p>Political disputes typically spring from the assumption that those who do not agree with us are shallow, misguided, uninformed, and ignorant. Predisposed suggests instead that political opponents simply experience, process, and respond to the world differently. It follows, then, that the key to getting along politically is not the ability of one side to persuade the other side to see the error of its ways but rather the ability of each side to see that the other is different, not just politically, but physically. Predisposed will change the way you think about politics and partisan conflict. <p>As a bonus, the book includes a "Left/Right 20 Questions" game to test whether your predispositions lean liberal or conservative.</p>
Predisposed: Liberals, Conservatives, and the Biology of Political Differences
by Kevin B. Smith John R. Alford John R. HibbingBuried in many people and operating largely outside the realm of conscious thought are forces inclining us toward liberal or conservative political convictions. Our biology predisposes us to see and understand the world in different ways, not always reason and the careful consideration of facts. These predispositions are in turn responsible for a significant portion of the political and ideological conflict that marks human history. With verve and wit, renowned social scientists John Hibbing, Kevin Smith, and John Alford—pioneers in the field of biopolitics—present overwhelming evidence that people differ politically not just because they grew up in different cultures or were presented with different information. Despite the oft-heard longing for consensus, unity, and peace, the universal rift between conservatives and liberals endures because people have diverse psychological, physiological, and genetic traits. These biological differences influence much of what makes people who they are, including their orientations to politics. Political disputes typically spring from the assumption that those who do not agree with us are shallow, misguided, uninformed, and ignorant. Predisposed suggests instead that political opponents simply experience, process, and respond to the world differently. It follows, then, that the key to getting along politically is not the ability of one side to persuade the other side to see the error of its ways but rather the ability of each side to see that the other is different, not just politically, but physically. Predisposed will change the way you think about politics and partisan conflict. As a bonus, the book includes a "Left/Right 20 Questions" game to test whether your predispositions lean liberal or conservative.
Prefabs: A History of the UK Temporary Housing Programme (Routledge Revivals)
by Brenda ValeOriginally published in 1995, this book unravels the history of the ‘temporary bungalow’ and shows that perhaps it was more a question of providing a new peace-time product for factories than a means of providing accommodation for the homeless. Built in a period of housing history which remains fascinating for architects and planners and admired by some of their first occupants but berated by others, those prefabs remaining today are subject to preservation orders but also perhaps offer a solution to the ongoing housing crisis in the UK. The book includes chapters on the development of the prefab house in the UK; comparisons with temporary housing programmes in the USA, Sweden and Germany; political and economic considerations to the UK Temporary Housing Programme and a discussion of the design of the Arcon, Uni-Seco, Tarran and Aluminium Temporary Bungalows.
Preface to the philosophy of education (International Library of the Philosophy of Education Volume 24)
by John WilsonIt is sometimes said that the philosophy of education is not a serious and coherent philosophical area of inquiry. John Wilson examines this argument, taking it as the starting point for his book. He believes that most 'philosophy of education' until now has been little more than the promotion of particular ideologies, and that progress can be made only by a more analytical approach. The central problems lies in establishing a few basic concepts, principles and categories and questions which will form the skeleton of the subject. He therefore outlines the nature of 'philosophy of education' and defines some of its major problems by examining key notions such as the value of education, the nature and implications of learning and what should be learned.
Preference Pollution
by David GeorgeSeldom considered is whether markets do an adequate job of shaping our tastes. David George argues that they do not, and that the standard economic definition of efficiency can be used to demonstrate that the market ignores people's desires about their desires. He concludes that markets perform poorly with respect to second-order preferences, thus worsening the problem of undesired desires. The book further investigates changes in perceptions and public policy toward such activities as gambling, credit, entertainment, and sexual behavior.
Preference, Value, Choice, and Welfare
by Daniel M. HausmanThis book is about preferences, principally as they figure in economics. It also explores their uses in everyday language and action, how they are understood in psychology and how they figure in philosophical reflection on action and morality. The book clarifies and for the most part defends the way in which economists invoke preferences to explain, predict and assess behavior and outcomes. Hausman argues, however, that the predictions and explanations economists offer rely on theories of preference formation that are in need of further development, and he criticizes attempts to define welfare in terms of preferences and to define preferences in terms of choices or self-interest. The analysis clarifies the relations between rational choice theory and philosophical accounts of human action. The book also assembles the materials out of which models of preference formation and modification can be constructed, and it comments on how reason and emotion shape preferences.
Prefiguring the Idea of the University for a Post-Capitalist Society (Marxism and Education)
by Gary SaundersUsing an Open Marxist theoretical framework, this book provides a critique of the neoliberal reforms made to higher education since the late 1970s and the impact this has had on the sector. Rather than arguing for a return to the idea of the public university, the book argues that public and private models of higher education are both forms of capitalist accumulation and have historically perpetuated forms of oppression, exploitation and discrimination; thus, a more radical solution that addresses both the current crisis of higher education and the contradictory and exploitative nature of late capitalism is required. This book critically examines the autonomous learning spaces that emerged out of the UK student protests (2009-2010) and documents what can be learned from them to prefigure the idea of the university for a post-capitalist society.