Black, Indigenous, and Peoples of Color reimagine library and information science through the lens of critical race theory. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. In Knowledge Justice , Black, Indigenous, and Peoples of Color scholars use critical race theory (CRT) to challenge the foundational principles, values, and assumptions of Library and Information Science and Studies (LIS) in the United States. They propel CRT to center stage in LIS, to push the profession to understand and reckon with how white supremacy affects practices, services, curriculum, spaces, and policies. The contributors show that the field is deeply invested in the false idea of its own objectivity and neutrality, and they go on to show how this relates to assumptions about race. Through deep analyses of library and archival collections, scholarly communication, hierarchies of power, epistemic supremacy, children's librarianship, teaching and learning, digital humanities, and the education system, Knowledge Justice challenges LIS to reimagine itself by throwing off the weight and legacy of white supremacy and reaching for racial justice. Contributors Miranda H. Belarde-Lewis (Zuni and Tlingit), Jennifer Brown, Anastasia Chiu, Nicholae Cline (Coharie), Anne Cong-Huyen, Tony Dunbar, Isabel Espinal, Fobazi M. Ettarh, Jennifer A. Ferretti, April M. Hathcock, Todd Honma, Harrison W. Inefuku, Sarah R. Kostelecky (Zuni Pueblo), Kafi Kumasi, Sofia Y. Leung, Jorge R. López-McKnight, Sujei Lugo Vázquez, Marisa Méndez-Brady, Myrna Morales, Lalitha Nataraj, Vani Natarajan, Antonia P. Olivas, Kush Patel, Torie Quiñonez, Maria Adoria Rios, Tonia Sutherland, Shaundra Walker, Stacie Williams, Rachel E. Winston

A general organismic-causal theory that explicates working memory and executive function developmentally, clarifying the nature of human intelligence. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. In The Working Mind , Juan Pascual-Leone and Janice M. Johnson propose a general organismic-causal theory that explicates working memory and executive function developmentally and by doing so clarifies the nature of human intelligence. Pascual-Leone and Johnson explain “from within” (that is, from a subject's own processing perspective) cognitive developmental stages of growth, describing key causal factors that can account for the emergence of the working mind as a functional totality. Among these factors is a maturationally growing mental attention. After reviewing meaning-driven processes and constructivist knowledge principles that underlie what Pascual-Leone and Johnson term their Theory of Constructive Operators (TCO), they propose the TCO as as a developmental and neuropsychological approach to human cognitive and affective processes and their development. They present a novel method of mental task analysis that generates from-within process models of subjects' attempts to solve specific tasks. They provide an interpretation of brain semiotic processes that deploys TCO in functionally distinct brain locations. Finally, they show how TCO explicates complex human issues including consciousness, the self, the will, motivation, and individual differences, with applications in education, psychotherapy, and cognitive neuropsychology.

A laboratory study that investigates how algorithms come into existence. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. Algorithms—often associated with the terms big data , machine learning , or artificial intelligence —underlie the technologies we use every day, and disputes over the consequences, actual or potential, of new algorithms arise regularly. In this book, Florian Jaton offers a new way to study computerized methods, providing an account of where algorithms come from and how they are constituted, investigating the practical activities by which algorithms are progressively assembled rather than what they may suggest or require once they are assembled. Drawing on a four-year ethnographic study of a computer science laboratory that specialized in digital image processing, Jaton illuminates the invisible processes that are behind the development of algorithms. Tracing what he terms a set of intertwining courses of actions sharing common finalities, he describes the practical activity of creating algorithms through the lenses of ground-truthing , programming , and formulating . He first presents the building of ground truths, referential repositories that form the material basis for algorithms. Then, after considering programming's resistance to ethnographic scrutiny, he describes programming courses of action he attended at the laboratory. Finally, he offers an account of courses of action that successfully formulated some of the relationships among the data of a ground-truth database, revealing the links between ground-truthing, programming, and formulating activities—entangled processes that lead to the shaping of algorithms. In practice, ground-truthing, programming, and formulating form a whirlwind process, an emergent and intertwined agency.

An examination of successful environmental advocacy strategies in East Asia that shows how advocacy can be effective under difficult conditions. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. The countries of East Asia—China, Japan, South Korea, and Taiwan—are home to some of the most active and effective environmental advocates in the world. And the governments of these countries have adopted a range of innovative policies to fight pollution and climate change: Japan leads the world in emissions standards, China has become the world's largest producer of photovoltaic panels, and Taiwan and South Korea have undertaken major green initiatives. In this book, Mary Alice Haddad examines the advocacy strategies that persuaded citizens, governments, and businesses of these countries to change their behavior. How did environmental activists succeed in countries that favor business interests and are generally hostile to citizen-based advocacy? Haddad identifies and describes, with examples, five of the most effective advocacy strategies used by environmentalists in East Asia: cultivate policy access, make it work locally, make it work for business, engage the heart, and think outside the box. Drawing on both qualitative and quantitative data, she develops the Connected Stakeholder Model to show how advocates work through personal and professional networks to influence people in power. Stakeholders involved in policymaking are connected to diverse and multiple networks, which help them to develop complex ideas about the policies they develop. East Asia's effective advocacy strategies, as well as Haddad's theoretical framework, offer valuable lessons for activists, policy makers, and researchers.

An exploration of coding that investigates the interplay between computational abstractions and the fundamentally interpretive nature of human experience. The importance of coding in K–12 classrooms has been taken up by both scholars and educators. Voicing Code in STEM offers a new way to think about coding in the classroom—one that goes beyond device-level engagement to consider the interplay between computational abstractions and the fundamentally interpretive nature of human experience. Building on Mikhail Bakhtin's notions of heterogeneity and heteroglossia, the authors explain how STEM coding can be understood as voicing computational utterances, rather than a technocentric framing of building computational artifacts. Empirical chapters illustrate this theoretical stance by investigating different framings of coding as voicing. Understanding the experiential nature of coding allows us to design better tools and curricula for students, and enables us to see computing as experience beyond the mastery of symbolic power. Arguing for a critical phenomenology of coding, the authors explain that the phenomenological dimension refocuses attention on the fundamentally complex nature of human experiences that are involved in coding and learning to code. The critical dimension involves learning to recognize voices that historically have received less attention.

An examination of dating app culture in China, across user demographics—straight women, straight men, queer women, and queer men. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. In this exploration of dating app culture in China, Lik Sam Chan argues that these popular mobile apps are not merely a platform for personal relationships but also an emerging arena for gender and queer politics. Chan examines the opportunities dating apps present for women's empowerment and men's performances of masculinity, and he links experiences of queer dating app users with their vulnerable position as sexual minorities. He finds that dating apps are both portals to an exciting virtual world of relational possibilities and sites of power dynamics that reflect the heteronormativity and patriarchy of Chinese society. Drawing on in-depth interviews with urban users of such dating apps as Momo, Tantan, Blued, Aloha, Rela, and Lesdo, Chan proposes “networked sexual publics” as a unifying concept to capture the dynamics of dating app culture. Devoting a chapter to each of four publics—straight women, straight men, queer men, and queer women—Chan documents how relationships are shaped and transfigured by this emerging technology. He considers whether dating apps can be a feminist tool; explores straight men's self-presentation on the apps and their interactions with women they meet there; discusses the constant cycle of deleting and installing the same apps seen among queer men; and examines how popular lesbian dating apps may connect queer women to their communities. Finally, Chan maps possible paths for future intersectional, queer, and feminist scholarship on emerging communication technologies.

A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI , McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand, explain , and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture.

Philosophers discuss Jerome Wakefield's influential view of mental disorder as “harmful dysfunction,” with detailed responses from Wakefield himself. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. One of the most pressing theoretical problems of psychiatry is the definition of mental disorder. Jerome Wakefield's proposal that mental disorder is “harmful dysfunction” has been both influential and widely debated; philosophers have been notably skeptical about it. This volume provides the first book-length collection of responses by philosophers to Wakefield's harmful dysfunction analysis (HDA), offering a survey of philosophical critiques as well as extensive and detailed replies by Wakefield himself. HDA is offered as a definition of mental disorder, but it is also the outcome of a method—conceptual analysis—and contributors first take up HDA's methodology, considering such topics as HDA's influences on the DSM, empirical support for HDA, and clinical practice. They go on to discuss HDA's ultimate goal, the demarcation between normal and abnormal; the dysfunction component of the analysis, addressing issues that include developmental plasticity, autism and neurodiversity, and the science of salience; and the harmful component, examining harmless dysfunction, normal variation, medicalization, and other questions. Wakefield offers substantive responses to each chapter. Contributors Rachel Cooper, Andreas De Block, Steeves Demazeux, Leen De Vreese, Luc Faucher, Denis Forest, Justin Garson, Philip Gerrans, Harold Kincaid, Maël Lemoine, Dominic Murphy, Jonathan Sholll, Tim Thornton, Jerome Wakefield, Peter Zachar

Cross-cutting theoretical frameworks and analyses examine how open innovations in international development can empower poor and marginalized populations. Over the last ten years, “open” innovations—the sharing of information and communications resources without access restrictions or cost—have emerged within international development. But do these innovations empower poor and marginalized populations? This book examines whether, for whom, and under what circumstances the free, networked, public sharing of information and communication resources contribute (or not) toward a process of positive social transformation. The contributors offer cross-cutting theoretical frameworks and empirical analyses that cover a broad range of applications, emphasizing the underlying aspects of open innovations that are shared across contexts and domains. The book first outlines theoretical frameworks that span knowledge stewardship, trust, situated learning, identity, participation, and power decentralization. It then investigates these frameworks across a range of institutional and country contexts, considering each in terms of the key emancipatory principles and structural impediments it seeks to address. Taken together, the chapters offer an empirically tested theoretical direction for the field. Contributors Juan Pablo Alperin, Caitlin M. Bentley, Bidisha Chaudhuri, Nandini Chami, Arul Chib, Purnabha Dasgupta, Andy Dearden, Melissa Densmore, Helani Galpaya, Piyumi Gamage, Anita Gurumurthy, Onkar Hoysala, Linus Kendall, Rich Ling, Goodiel Moshi, Chiranthi Rajapakse, Katherine Reilly, Paul Mungai, Priya Parekh, Chiranthi Rajapakse, Anuradha Rao, Katherine Reilly, David Sadoway, Deo Shao, Parminder Jeet Singh, Matthew L. Smith, Janaki Srinivasan, Bernd Carsten Stahl, Satyarupa Shekhar Swain, John Traxler, Jean-Paul Van Belle, Marion Walton, Yingqin Zheng

Games that show how mathematics can solve the apparently unsolvable. This book presents a series of engaging games that seem unsolvable—but can be solved when they are translated into mathematical terms. How can players find their ID cards when the cards are distributed randomly among twenty boxes? By applying the theory of permutations. How can a player guess the color of her own hat when she can only see other players' hats? Hamming codes, which are used in communication technologies. Like magic, mathematics solves the apparently unsolvable. The games allow readers, including university students or anyone with high school–level math, to experience the joy of mathematical discovery. The authors set up each game, specifying the number of players and props needed, and show readers how mathematical language reveals the problem's underlying structure. They explain the mathematical concepts with many examples, describe the history of the problem, and offer practical advice. Colorful and clever illustrations, featuring a flock of mathematically inclined ravens, help clarify things. All of the games can be presented to an audience; each one runs from sixty to ninety minutes, suitable for seminar presentations or lectures. The authors aim at maintaining mathematical precision while avoiding overly complex notation. Appendixes go into more detail, reviewing frequently used mathematical symbols, providing further information on a range of mathematical concepts, and offering chapter-specific mathematical explanations.

How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more. How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance? How Humans Judge Machines compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions. Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender? César Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer to understanding the ethical consequences of AI. Written by César A. Hidalgo, the author of Why Information Grows and coauthor of The Atlas of Economic Complexity (MIT Press), together with a team of social psychologists (Diana Orghian and Filipa de Almeida) and roboticists (Jordi Albo-Canals), How Humans Judge Machines presents a unique perspective on the nexus between artificial intelligence and society. Anyone interested in the future of AI ethics should explore the experiments and theories in How Humans Judge Machines .

The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. A new wave of enthusiasm for smart cities, urban data, and the Internet of Things has created the impression that computation can solve almost any urban problem. Subjecting this claim to critical scrutiny, in this book, Andrés Luque-Ayala and Simon Marvin examine the cultural, historical, and contemporary contexts in which urban computational logics have emerged. They consider the rationalities and techniques that constitute emerging computational forms of urbanization, including work on digital urbanism, smart cities, and, more recently, platform urbanism. They explore the modest potentials and serious contradictions of reconfiguring urban life, city services, and urban-networked infrastructure through computational operating systems—an urban OS. Luque-Ayala and Marvin argue that in order to understand how digital technologies transform and shape the city, it is necessary to analyze the underlying computational logics themselves. Drawing on fieldwork that stretches across eleven cities in American, European, and Asian contexts, they investigate how digital products, services, and ecosystems are reshaping the ways in which the city is imagined, known, and governed. They discuss the reconstitution of the contemporary city through digital technologies, practices, and techniques, including data-driven governance, predictive analytics, digital mapping, urban sensing, digitally enabled control rooms, civic hacking, and open data narratives. Focusing on the relationship between the emerging operating systems of the city and their traditional infrastructures, they shed light on the political implications of using computer technologies to understand and generate new urban spaces and flows.

A comprehensive and interdisciplinary approach to the economics of the production, distribution, and consumption of wine. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. Wine economics is a growing subfield that examines the economics of the production, distribution, and consumption of wine. In this book, Stefano Castriota takes a comprehensive and interdisciplinary approach to the study of wine economics, drawing on literature from industrial organization, welfare economics, economic policy, political economy, management, finance, health economics, law, and criminology. Castriota explores how wine markets operate and how they are regulated, covering such diverse topics as the health economics of wine consumption (both the positive health effects associated with moderate wine intake and the negative effects of alcohol abuse), the competition and profitability of wineries, the function of wine as an investment, and the quality of wine. He examines differences between the wine industries in the Old World and the New World, comparing small, family-owned wineries with larger conglomerates, and analyzes the regulation of wine in the United States versus the European Union. He concludes with a series of recommendations to ensure open and efficient wine markets while protecting public health. Originally published in Italy as Economia del Vino , this English translation has been extensively revised. It includes additional material focusing on the English-speaking countries of the New World, particularly the regulatory environment of the United States and the lingering effects of Prohibition.

A critical inquiry into the politics, practices, and infrastructures of open access and the reconfiguration of scholarly communication in digital societies. The open access edition of this book was made possible by generous funding and support from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin, the Open Society Foundations, the Open Knowledge Foundation, Knowledge Unlatched, and Birkbeck, University of London. The Open Access Movement proposes to remove price and permission barriers for accessing peer-reviewed research work—to use the power of the internet to duplicate material at an infinitesimal cost-per-copy. In this volume, contributors show that open access does not exist in a technological or policy vacuum; there are complex social, political, cultural, philosophical, and economic implications for opening research through digital technologies. The contributors examine open access from the perspectives of colonial legacies, knowledge frameworks, publics and politics, archives and digital preservation, infrastructures and platforms, and global communities. he contributors consider such topics as the perpetuation of colonial-era inequalities in research production and promulgation; the historical evolution of peer review; the problematic histories and discriminatory politics that shape our choices of what materials to preserve; the idea of scholarship as data; and resistance to the commercialization of platforms. Case studies report on such initiatives as the Making and Knowing Project , which created an openly accessible critical digital edition of a sixteenth-century French manuscript, the role of formats in Bruno Latour's An Inquiry into Modes of Existence , and the Scientific Electronic Library Online (SciELO), a network of more than 1,200 journals from sixteen countries. Taken together, the contributions represent a substantive critical engagement with the politics, practices, infrastructures, and imaginaries of open access, suggesting alternative trajectories, values, and possible futures.

Wikipedia's first twenty years: how what began as an experiment in collaboration became the world's most popular reference work. We have been looking things up in Wikipedia for twenty years. What began almost by accident—a wiki attached to a nascent online encyclopedia—has become the world's most popular reference work. Regarded at first as the scholarly equivalent of a Big Mac, Wikipedia is now known for its reliable sourcing and as a bastion of (mostly) reasoned interaction. How has Wikipedia, built on a model of radical collaboration, remained true to its original mission of “free access to the sum of all human knowledge” when other tech phenomena have devolved into advertising platforms? In this book, scholars, activists, and volunteers reflect on Wikipedia's first twenty years, revealing connections across disciplines and borders, languages and data, the professional and personal. The contributors consider Wikipedia's history, the richness of the connections that underpin it, and its founding vision. Their essays look at, among other things, the shift from bewilderment to respect in press coverage of Wikipedia; Wikipedia as “the most important laboratory for social scientific and computing research in history”; and the acknowledgment that “free access” includes not just access to the material but freedom to contribute—that the summation of all human knowledge is biased by who documents it. Contributors Phoebe Ayers, Omer Benjakob, Yochai Benkler, William Beutler, Siko Bouterse, Rebecca Thorndike-Breeze, Amy Carleton, Robert Cummings, LiAnna L. Davis, Siân Evans, Heather Ford, Stephen Harrison, Heather Hart, Benjamin Mako Hill, Dariusz Jemielniak, Brian Keegan, Jackie Koerner, Alexandria Lockett, Jacqueline Mabey, Katherine Maher, Michael Mandiberg, Stephane Coillet-Matillon, Cecelia A. Musselman, Eliza Myrie, Jake Orlowitz, Ian A. Ramjohn, Joseph Reagle, Anasuya Sengupta, Aaron Shaw, Melissa Tamani, Jina Valentine, Matthew Vetter, Adele Vrana, Denny Vrandečić

An investigation of the causes and consequences of the strange, ambivalent, and increasingly central role of infrastructure repair in modern life. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. Infrastructures—communication, food, transportation, energy, and information—are all around us, and their enduring function and influence depend on the constant work of repair. In this book, Christopher Henke and Benjamin Sims explore the causes and consequences of the strange, ambivalent, and increasingly central role of infrastructure repair in modern life. Henke and Sims offer examples, from local to global, to investigate not only the role of repair in maintaining infrastructures themselves but also the social and political orders that are created and sustained through them. Repair can encompass not only the kind of work we most commonly associate with the term but also any set of practices aimed at restoring a sense of normalcy or credibility to the places and institutions we inhabit in everyday life. From cases as diverse as the repair of building systems on a university campus, a conflict over retrofitting a bridge while protecting murals painted on it, and the global challenge posed by climate change, Henke and Sims assemble a range of examples to illustrate key conceptual points about the role of repair. They show that repair is an essential if often overlooked aspect of understanding the broader impact and politics of infrastructures. Understanding repair helps us better understand infrastructures and the scope of their influence on our lives.

An economic analysis of what distributed ledgers can do, examining key components and discussing applications in both developed and emerging market economies. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. Distributed ledger technology (DLT) has the potential to transform economic organization and financial structures. In this book, Robert Townsend steps back from the hype and controversy surrounding DLT (and the related, but not synonymous, innovations of blockchain and Bitcoin) to offer an economic analysis of what distributed ledgers can do and a blueprint for the optimal design and regulation of financial systems. Townsend examines the key components of distributed ledgers, discussing, evaluating, and illustrating each in the context of historical and contemporary economies, reviewing featured applications in both developed economies and emerging-market countries, and indicating where future innovations can have large impact. Throughout, Townsend emphasizes the general equilibrium impact of DLT innovations, the welfare gains from these innovations, and related regulatory innovations. He analyzes four crucial components of distributed ledgers—ledgers as accounts, e-messages and e-value transfers, cryptography, and contracts—assessing each in terms of both economics and computer science, and forges some middle ground. Relatedly, Townsend highlights hybrid systems in which some of these components allow useful innovation while legacy or alternative pieces deal with the problem of scale. The specific applications he analyzes include an intelligent financial automated system that provides financial services to unbanked and under-banked populations, and cross-border payments systems, including financial systems that can integrate credit and insurance with clearing and settlement. Finally, Townsend considers cryptocurrencies, discussing the role and value of tokens in economies with distributed ledger systems.

A novel logic-based framework for representing the syntax–semantics interface of natural language, applicable to a range of phenomena. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. In this book, Yusuke Kubota and Robert Levine propose a type-logical version of categorial grammar as a viable alternative model of natural language syntax and semantics. They show that this novel logic-based framework is applicable to a range of phenomena—especially in the domains of coordination and ellipsis—that have proven problematic for traditional approaches. The type-logical syntax the authors propose takes derivations of natural language sentences to be proofs in a particular kind of logic governing the way words and phrases are combined. This logic builds on and unifies two deductive systems from the tradition of categorial grammar; the resulting system, Hybrid Type-Logical Categorial Grammar (Hybrid TLCG) enables comprehensive approaches to coordination (gapping, dependent cluster coordination, and right-node raising) and ellipsis (VP ellipsis, pseudogapping, and extraction/ellipsis interaction). It captures a number of intricate patterns of interaction between scopal operators and seemingly incomplete constituents that are frequently found in these two empirical domains. Kubota and Levine show that the hybrid calculus underlying their framework incorporates key analytic ideas from competing approaches in the generative syntax literature to offer a unified and systematic treatment of data that have posed considerable difficulties for previous accounts. Their account demonstrates that logic is a powerful tool for analyzing the deeper principles underlying the syntax and semantics of natural language.

A multidisciplinary book that takes internet governance research as a research subject in its own right, discussing methods and conceptual approaches. The open access edition of this book was published with the support of a generous grant from the Hewlett Foundation Cyber Initiative to the Internet Governance Lab at American University The design and governance of the internet has become one of the most pressing geopolitical issues of our era. The stability of the economy, democracy, and the public sphere depend on the stability and security of the internet. Revelations about election hacking, facial recognition technology, and government surveillance have gotten the public's attention and made clear the need for scholarly research that examines internet governance both empirically and conceptually. In this volume, scholars from a range of disciplines consider research methods, theories, and conceptual approaches in the study of internet governance. The contributors show that internet governance is not only about governments; it is enacted through technical design, resource coordination, and conflicts at various invisible control points. They discuss such topics as the emergence of “internet governance” as an area of academic study and a real-world policy arena; the scholarly perspectives of STS, the law, computer science, and political science; the use of big data and text mining in internet governance studies; and cybersecurity. Contributors Farzaneh Badiei, Davide Beraldo, Sandra Braman, Ronald J. Deibert, Dame Wendy Hall, Jeanette Hofmann, Eric Jardine, Rikke Frank Jørgensen, Aastha Madaan, Stefania Milan, Milton Mueller, Kieron O'Hara, Niels ten Oever, Rolf H. Weber

How “drowned town” literature, road movies, energy landscape photography, and “death train” narratives represent the brutality of industrial infrastructures. The open access edition of this book was made possible by generous funding from Arcadia – a charitable fund of Lisbet Rausing and Peter Baldwin. In this book, Michael Truscello looks at the industrial infrastructure not as an invisible system of connectivity and mobility that keeps capitalism humming in the background but as a manufactured miasma of despair, toxicity, and death. Truscello terms this “infrastructural brutalism”—a formulation that not only alludes to the historical nexus of infrastructure and the concrete aesthetic of Brutalist architecture but also describes the ecological, political, and psychological brutality of industrial infrastructures. Truscello explores the necropolitics of infrastructure—how infrastructure determines who may live and who must die—through the lens of artistic media. He examines the white settler nostalgia of “drowned town” fiction written after the Tennessee Valley Authority flooded rural areas for hydroelectric projects; argues that the road movie represents a struggle with liberal governmentality; considers the ruins of oil capitalism, as seen in photographic landscapes of postindustrial waste; and offers an account of “death train narratives” ranging from the history of the Holocaust to postapocalyptic fiction. Finally, he calls for “brisantic politics,” a culture of unmaking that is capable of slowing the advance of capitalist suicide. “Brisance” refers to the shattering effect of an explosive, but Truscello uses the term to signal a variety of practices for defeating infrastructural power. Brisantic politics, he warns, would require a reorientation of radical politics toward infrastructure, sabotage, and cascading destruction in an interconnected world.