Actor network theory is a powerful approach which combines the insights of post-structuralism with an analysis of the materials of social life. This controversial and path-breaking volume extends ANT beyond studies of technology, power and organisation to the body, subjectivity, politics, and cultural difference, and puts it into cutting-edge dialogue with feminism, anthropology, psychology and economics.

This book uses post-structuralist theories of power and discourse to study European integration and the associated forms of governance.

Lucid, timely and shrewd, this book makes a major contribution to understanding a concept that is belatedly being recognized as a core concept in the social sciences, governmentality. By looking at the work of Foucault, this book aims to reclaim governmentality as a central concept in sociology, asking what is governmentality and how are individuals and cultures organised in modern society? Dean seeks to learn from Foucault, but also draws on wider analytical frameworks and traditions to provide the first complete (...) overview of the concept. He argues that governmentality encapsulates a fundamentally new orientation to the study of power and authority. It allows for a new, more relevant understanding of how the individ. (shrink)

Privacy, Due process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology engages with the rapidly developing computational aspects of our world including data mining, behavioural advertising, iGovernment, profiling for intelligence, customer relationship management, smart search engines, personalized news feeds, and so on in order to consider their implications for the assumptions on which our legal framework has been built. The contributions to this volume focus on the issue of privacy, which is often equated with data (...) privacy and data security, location privacy, anonymity, pseudonymity, unobservability, and unlinkability. Here, however, the extent to which predictive and other types of data analytics operate in ways that may or may not violate privacy is rigorously taken up, both technologically and legally, in order to open up new possibilities for considering, and contesting, how we are increasingly being correlated and categorizedin relationship with due process – the right to contest how the profiling systems are categorizing and deciding about us. (shrink)

Latour is a world famous and widely published French sociologist who has written with great eloquence and perception about the relationship between people, science, and technology. He is also closely associated with the school of thought known as Actor Network Theory. In this book he sets out for the first time in one place his own ideas about Actor Network Theory and its relevance to management and organization theory.

Introduction: the advance of governmentality -- Foucault, power, and governmentality: introduction; what is governmentality?; beyond the microphysics of power?; from theory of the state to genealogy of the state; history of the art of government; pastoral power; raison d'état; liberal governmentality; five propositions on foucault and governmentality -- Governmentality 3.4.7.: introduction; governmentality after Foucault; governmentality and the political sciences; some problems in governmentality -- Foucault effect redux? some notes on international governmentality studies: constellation; a few preliminary observations; problems and debates (...) in international governmentality studies -- Reconnecting governmentality and genealogy: introduction; genealogy and governmentality; pluralizing genealogy; practicing genealogy; lines of descent: the family tree of power?; counter-memory and re-serialization; the retrieval of forgotten struggles and subjugated knowledges -- Conclusion: encountering governmentality: governmentality as a new cartography of power; from mapping to encountering; governmentality and politics. (shrink)

Critical counter-conducts -- Who is the subject of (Foucault's human) rights? -- The ambivalence of rights -- Rights between tactics and strategy.

This paper explores how political theory may help us map algorithmic logics against different visions of the political. Drawing on Chantal Mouffe’s theories of agonistic pluralism, this paper depicts algorithms in public life in ten distinct scenes, in order to ask the question, what kinds of politics do they instantiate? Algorithms are working within highly contested online spaces of public discourse, such as YouTube and Facebook, where incompatible perspectives coexist. Yet algorithms are designed to produce clear “winners” from information contests, (...) often with little visibility or accountability for how those contests are designed. In isolation, many of these algorithms seem the opposite of agonistic: much of the complexity of search, ranking, and recommendation algorithms is nonnegotiable and kept far from view, inside an algorithmic “black box.” But what if we widen our perspective? This paper suggests agonistic pluralism as both a design ideal for engineers and a provocation to understand algorithms in a broader social context: rather than focusing on the calculations in isolation, we need to account for the spaces of contestation where they operate. (shrink)

Algorithms have developed into somewhat of a modern myth. On the one hand, they have been depicted as powerful entities that rule, sort, govern, shape, or otherwise control our lives. On the other hand, their alleged obscurity and inscrutability make it difficult to understand what exactly is at stake. What sustains their image as powerful yet inscrutable entities? And how to think about the politics and governance of something that is so difficult to grasp? This editorial essay provides a critical (...) backdrop for the special issue, treating algorithms not only as computational artifacts but also as sensitizing devices that can help us rethink some entrenched assumptions about agency, transparency, and normativity. (shrink)

The Snowden revelations about National Security Agency surveillance, starting in 2013, along with the ambiguous complicity of internet companies and the international controversies that followed provide a perfect segue into contemporary conundrums of surveillance and Big Data. Attention has shifted from late C20th information technologies and networks to a C21st focus on data, currently crystallized in “Big Data.” Big Data intensifies certain surveillance trends associated with information technology and networks, and is thus implicated in fresh but fluid configurations. This is (...) considered in three main ways: One, the capacities of Big Data intensify surveillance by expanding interconnected datasets and analytical tools. Existing dynamics of influence, risk-management, and control increase their speed and scope through new techniques, especially predictive analytics. Two, while Big Data appears to be about size, qualitative change in surveillance practices is also perceptible, accenting consequences. Important trends persist – the control motif, faith in technology, public-private synergies, and user-involvement – but the future-orientation increasingly severs surveillance from history and memory and the quest for pattern-discovery is used to justify unprecedented access to data. Three, the ethical turn becomes more urgent as a mode of critique. Modernity's predilection for certain definitions of privacy betrays the subjects of surveillance who, so far from conforming to the abstract, disembodied image of both computing and legal practices, are engaged and embodied users-in-relation whose activities both fuel and foreclose surveillance. (shrink)

“When Species Meet is a breathtaking meditation on the intersection between humankind and dog, philosophy and science, and macro and micro cultures.” —Cameron Woo, Publisher of Bark magazine In 2006, about 69 million U.S. households had pets, giving homes to around 73.9 million dogs, 90.5 million cats, and 16.6 million birds, and spending over $38 billion dollars on companion animals. As never before in history, our pets are truly members of the family. But the notion of “companion species”—knotted from human (...) beings, animals and other organisms, landscapes, and technologies—includes much more than “companion animals.” In When Species Meet, Donna J. Haraway digs into this larger phenomenon to contemplate the interactions of humans with many kinds of critters, especially with those called domestic. At the heart of the book are her experiences in agility training with her dogs Cayenne and Roland, but Haraway’s vision here also encompasses wolves, chickens, cats, baboons, sheep, microorganisms, and whales wearing video cameras. From designer pets to lab animals to trained therapy dogs, she deftly explores philosophical, cultural, and biological aspects of animal-human encounters. In this deeply personal yet intellectually groundbreaking work, Haraway develops the idea of companion species, those who meet and break bread together but not without some indigestion. “A great deal is at stake in such meetings,” she writes, “and outcomes are not guaranteed. There is no assured happy or unhappy ending—socially, ecologically, or scientifically. There is only the chance for getting on together with some grace.” Ultimately, she finds that respect, curiosity, and knowledge spring from animal-human associations and work powerfully against ideas about human exceptionalism. One of the founders of the posthumanities, Donna J. Haraway is professor in the History of Consciousness Department at the University of California, Santa Cruz. Author of many books and widely read essays, including The Companion Species Manifesto: Dogs, People, and Significant Otherness and the now-classic essay “The Cyborg Manifesto,” she received the J. D. Bernal Prize in 2000, a lifetime achievement award from the Society for Social Studies in Science. (shrink)

Marketing and web analytic companies have implemented sophisticated algorithms to observe, analyze, and identify users through large surveillance networks online. These computer algorithms have the capacity to infer categories of identity upon users based largely on their web-surfing habits. In this article I will first discuss the conceptual and theoretical work around code, outlining its use in an analysis of online categorization practices. The article will then approach the function of code at the level of the category, arguing that an (...) analysis of coded computer algorithms enables a supplement to Foucauldian thinking around biopolitics and biopower, of what I call soft biopower and soft biopolitics. These new conceptual devices allow us to better understand the workings of biopower at the level of the category, of using computer code, statistics and surveillance to construct categories within populations according to users’ surveilled internet history. Finally, the article will think through the nuanced ways that algorithmic inference works as a mode of control, of processes of identification that structure and regulate our lives online within the context of online marketing and algorithmic categorization. (shrink)

Building on conceptual insights from the history and sociology of numbers, media and surveillance studies, and theories of governance and risk, this article analyzes the forms of transparency produced by the use of numbers in social life. It examines what it is about numbers that often makes their ‘truth claims’ so powerful, investigates the role that numerical operations play in the production of retrospective, real-time and anticipatory forms of transparency in contemporary politics and economic transactions, and discusses some of the (...) implications resulting from the increasingly abstract and machine-driven use of numbers. It argues that the forms of transparency generated by machine-driven numerical operations open up for individual and collective practices in ways that are intimately linked to precautionary and pre-emptive aspirations and interventions characteristic of contemporary governance. As such, these numerical operations raise important political and ethical questions that deserve further conceptual and empirical scrutiny. (shrink)

The Snowden revelations and the emergence of ‘Big Data’ have rekindled questions about how security practices are deployed in a digital age and with what political effects. While critical scholars have drawn attention to the social, political and legal challenges to these practices, the debates in computer and information science have received less analytical attention. This paper proposes to take seriously the critical knowledge developed in information and computer science and reinterpret their debates to develop a critical intervention into the (...) public controversies concerning data-driven security and digital surveillance. The paper offers a two-pronged contribution: on the one hand, we challenge the credibility of security professionals’ discourses in light of the knowledge that they supposedly mobilize; on the other, we argue for a series of conceptual moves around data, human–computer relations, and algorithms to address some of the limitations of existing engagements with the Big Data-security assemblage. (shrink)

In a quiet London office, a software designer muses on the algorithms that will make possible the risk flags to be visualized on the screens of border guards from Heathrow to St Pancras International. There is, he says, ‘real time decision making’ – to detain, to deport, to secondarily question or search – but there is also the ‘offline team who run the analytics and work out the best set of rules’. Writing the code that will decide the association rules (...) between items of data, prosaic and mundane – flight route, payment type, passport – the analysts derive a novel preemptive security measure. This paper proposes the analytic of the data derivative – a visualized risk flag or score drawn from an amalgam of disaggregated fragments of data, inferred from across the gaps between data and projected onto an array of uncertain futures. In contrast to disciplinary and enclosed techniques of collecting data to govern population, the data derivative functions via ‘differential curves of normality’, imagining a range of potential futures through the association rule, thus ‘opening up to let things happen’ ( Foucault 2007 ). In some senses akin to the risk orientation of the financial derivative, itself indifferent to actual underlying people, places or events by virtue of modulated norms, the contemporary security derivative is not centred on who we are, nor even on what our data say about us, but on what can be imagined and inferred about who we might be – on our very proclivities and potentialities. (shrink)

The close ties between modes of governing, subjectivities and critique in contemporary societies challenge the role of critical social research. The classical normative ethos of the unmasking researcher unravelling various oppressive structures of dominant vs. dominated groups in society is inadequate when it comes to understand de-politicizing mechanisms and the struggles they bring about. This article argues that only a non-normative position can stay attentive to the constant and complex evolution of modes of governing and the critical operations actors themselves (...) engage in. The article outlines a non-normative but critical programme based on an ethos of re-politicizing contemporary pervasive modes of governing. The analytical advantages and limitations of such a programme are demonstrated by readings of both Foucauldian studies and the works of and debates regarding the French pragmatic sociology of Boltanski and Thévenot. (shrink)

This commentary is an attempt to begin to identify and think through some of the ways in which sociocultural theory may contribute to understandings of the relationship between humans and digital data. I develop an argument that rests largely on the work of two scholars in the field of science and technology studies: Donna Haraway and Annemarie Mol. Both authors emphasised materiality and multiple ontologies in their writing. I argue that these concepts have much to offer critical data studies. I (...) employ the tropes of companion species, drawn from Haraway, and eating data, from Mol, and demonstrate how these may be employed to theorise digital data–human assemblages. (shrink)