From ‘connecting the dots’ and finding ‘the needle in the haystack’ to predictive policing and data mining for counterinsurgency, security professionals have increasingly adopted the language and methods of computing for the purposes of prediction. Digital devices and big data appear to offer answers to a wide array of problems of (in)security by promising insights into unknown futures. This article investigates the transformation of prediction today by placing it within governmental apparatuses of discipline, biopower and big data. Unlike disciplinary and (...) biopolitical governmentality, we argue that prediction with big data is underpinned by the production of a different time/space of ‘between-ness’. The digital mode of prediction with big data reconfigures how we are governed today, which we illustrate through an analysis of how predictive policing actualizes between-ness as hotspots and near-real-time decisions. (shrink)

The claim is frequently made that, as cities become loaded up with information and communications technology and a resultant profusion of data, so they are becoming sentient. But what might this mean? This paper offers some insights into this claim by, first of all, reworking the notion of the social as a spatial complex of ‘outstincts’. That makes it possible, secondly, to reconsider what a city which is aware of itself might look like, both by examining what kinds of technological (...) practices are becoming commonplace and by considering the particular case of spatial awareness. In turn, this leads to a third rumination on how cities might become aware as different kinds of sprite, channelling outstincts in spatially variable ways. Whatever the case, it is clear that new technical-artistic interventions are required if these sprites are not to become simply servants of the security–entertainment complex. Some of these interventions are examined in the fourth part of the paper. (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)

This article investigates the technical rationalities of modern forms of government. Conceived in a Foucauldian vein, the paper argues for an interpretation of security dispositifs which sustain the structures of modern government. The main argument developed in the article is that there is a difference between two securities diagrams: the preventive and the anticipatory. The first one is using rational devices like the actuarial table while the second is aiming to instrumentalise the imagination.

Given how much importance there is of economics and finance in our lives as humans (materialist side is foremost as per Marx), it should be given more importance by Philosophy and Sociology. This brief report is meant to highlight few research paradigms available in Philosophy and Sociology to give its proper social context and provide deep underlying of Risk, Insurance and Finance.

“Remember your humanity. Forget the rest”. (Bertrand Russell in Russell-Einstein Manifesto) In a nutshell, this review is not trying to propagate rocket science or eureka moment that scientifically finds the cure for all the ills of economic inequality like penicillin does for infections. This review is a basic but effective exploration into the true nature of social realities. This review holistically elaborates how economic inequality is leading to increasing polarization in our societies. Two important drivers of increasing inequality are highlighted (...) here as finance and technology and their contributions to higher polarization is detailed. A case study of polarization is followed along with the conclusion. (shrink)

The connections between forms of code and coding and the many crises that currently afflict the contemporary world run deep. Code and crisis in our time mutually define, and seemingly prolong, each other in ‘infinite branching graphs’ of decision problems. There is a growing academic literature that investigates digital code and software from a wide range of perspectives –power, subjectivity, governmentality, urban life, surveillance and control, biopolitics or neoliberal capitalism. The various strands in this literature are reflected in the papers (...) that comprise this special issue. They address topics ranging from social networks, mass media, financial markets and academic plagiarism to highway engineering in relation to the dynamics and diversity of crises. Against this backdrop, the purpose of this essay is to highlight and explore some of the underlying themes connecting codes and codings and the production and apprehension of ‘crisis’. We analyse how the ever-increasing intermediation of contemporary life by codes of various kinds has been closely shadowed by a proliferation of crises. We discuss three related aspects of the coupling of code and crisis (signification, performativity and excess) running across these seemingly diverse topics. We and the other contributors in this special issue seek to go beyond the restricted (and often restricting) understanding of code as the language of machines. Rather, we view code qua programs and algorithms as epitomizing a much broader phenomenon. The codes that we live, and that we live by, also tell us about the ways in which the ‘will to power’ and the 'will to knowledge' tend to be enacted in the contemporary world. (shrink)

Technologies that deploy data science methods are liable to result in epistemic harms involving the diminution of individuals with respect to their standing as knowers or their credibility as sources of testimony. Not all harms of this kind are unjust but when they are we ought to try to prevent or correct them. Epistemically unjust harms will typically intersect with other more familiar and well-studied kinds of harm that result from the design, development, and use of data science technologies. However, (...) we argue that epistemic injustices can be distinguished conceptually from more familiar kinds of harm. We argue that epistemic harms are morally relevant even in cases where those who suffer them are unharmed in other ways. Via a series of examples from the criminal justice system, workplace hierarchies, and educational contexts we explain the kinds of epistemic injustice that can result from common uses of data science technologies. (shrink)

This article presents a conceptual investigation into the value impacts and relations of algorithms in the domain of justice and security. As a conceptual investigation, it represents one step in a value sensitive design based methodology. Here, we explicate and analyse the expression of values of accuracy, privacy, fairness and equality, property and ownership, and accountability and transparency in this context. We find that values are sensitive to disvalue if algorithms are designed, implemented or deployed inappropriately or without sufficient consideration (...) for their value impacts, potentially resulting in problems including discrimination and constrained autonomy. Furthermore, we outline a framework of conceptual relations of values indicated by our analysis, and potential value tensions in their implementation and deployment with a view towards supporting future research, and supporting the value sensitive design of algorithms in justice and security. (shrink)

What are the consequences of the tendency for ubiquitous online reputation calculation to lead not to more precise expressions of reputation capital but, rather, to greater reputational instability? This article contrasts two conceptions of online reputation, which enact opposing attitudes about the relation between reputation and the calculable. According to an early online reputation paradigm – reputation capital – users strove to achieve high scores, performing the presumption that reputation could be incrementally accumulated and consistently measured within relatively stable spheres (...) of value. Yet, ubiquitous calculation led not to more precise measurements of reputation, but rather to the increasing volatility of online reputation. Thus, a second online reputation paradigm – reputation warfare – has become increasingly prevalent, in which strategic actors indirectly capitalize on systemic volatility produced by reputation’s ubiquitous online calculation. Steve Bannon’s 2016 Trump campaign strategy, which mobilized trolls, exemplifies the indirect optimization of online reputation, placing an option on reputational volatility. (shrink)

The potential for biases being built into algorithms has been known for some time, yet literature has only recently demonstrated the ways algorithmic profiling can result in social sorting and harm marginalised groups. We contend that with increased algorithmic complexity, biases will become more sophisticated and difficult to identify, control for, or contest. Our argument has four steps: first, we show how harnessing algorithms means that data gathered at a particular place and time relating to specific persons, can be used (...) to build group models applied in different contexts to different persons. Thus, privacy and data protection rights, with their focus on individuals, do not protect from the discriminatory potential of algorithmic profiling. Second, we explore the idea that anti-discrimination regulation may be more promising, but acknowledge limitations. Third, we argue that in order to harness anti-discrimination regulation, it needs to confront emergent forms of discrimination or risk creating new invisibilities, including invisibility from existing safeguards. Finally, we outline suggestions to address emergent forms of discrimination and exclusionary invisibilities via intersectional and post-colonial analysis. (shrink)

The article analyzes the relation of humans and technology concerning so called ‘intelligent’ or ‘autonomous’ algorithms that are applied in everyday contexts but are far removed from any form of substantial artificial intelligence. In particular, the use of algorithms in surveillance and in architecture is discussed. These examples are structured by a particular combination of continuity and difference between humans and technology. The article provides a detailed analysis of boundary practices that establish continuity and oppositions between humans and information technology, (...) referring to their exemplary depiction in movies. Both strands of boundary practices have the potential to challenge as well as sustain the position of the human as liberal, autonomous subject. Finally, it is shown how the particular combination of continuity and difference that structures the use of algorithms maintains the power of liberal, autonomous subject positions, while the shift of decisions to the algorithms seems to decenter the human. (shrink)

What happens when there is not enough data to train machine learning algorithms? In recent years, so-called ‘synthetic data’ have been increasingly used to add to or supplement the training regimes of various machine learning algorithms. Seeking to read the notion of supplementarity differently through an engagement with the work of Jacques Derrida, I propose that the nascent emergence of synthetic data embodies what I call the logic of the synthetic supplement in algorithmic societies. I argue, on the one hand, (...) that the synthetic supplement promises and claims to resolve the ethico-political tensions, frictions, and intractabilities of machine learning. On the other hand, it always falls short of these promises because it necessarily intervenes in that which it claims to merely augment. Ultimately, this means that the gaps and frictions of machine learning cannot be completely filled, supplemented, or resolved. (shrink)

In this paper I explore the relationship between the production and the value of Big Data. In particular I examine the concept of social media ‘prosumption’—which has predominantly been theorized from a Marxist, political economic perspective—to consider what other forms of value Big Data have, imbricated with their often speculative economic value. I take the example of social media firms in their early stages of operation to suggest that, since these firms do not necessarily generate revenue, data collected through user (...) contributions do not always realize economic value, at least in a Marxist sense, and that, in addition to their speculative value, these data have value beyond an economic valence. Instead I argue that in addition to their function as systems for accumulation, social media and their associated data have an affective value, related closely to their economic value, and demonstrate the efficacy of social media as systems designed for the appropriation and circulation of user attention. (shrink)

This article discusses the key existential stakes of implementing biometrics in human lifeworlds. In this pursuit, we offer a problematization and reinvention of central values often taken for granted within the “ethical turn” of AI development and discourse, such as autonomy, agency, privacy and integrity, as we revisit basic questions about what it means to be human and embodied. Within a framework of existential media studies, we introduce an existential ethics of care—through a conversation between existentialism, virtue ethics, a feminist (...) ethics of care and post-humanist ethics—aiming to deepen and nuance our understanding of the human behind “human-centered” AI directives. The key argument is that biometrics implicates humans through unprecedented forms of objectification, through which the existential body—the relational, intimate and frail human being—is at risk. We interrogate these risks as they become visible at three sites where embodied humans are challenged by biometrics, and thus where the existential body is challenged by the biometric body. This occurs through reductionism (biometric passports nailing bodies to identities, removing human judgment and compromising agency at the AI border), enforced transparency (smart home assistants surveying human intimacies and invading intimate spaces in the bedroom) and the breaching of bodily integrity (chipping bodies to capture sensory data, challenging the very concept of bodily integrity through self-invasive biohacking). Our existential ethics of care is importantly not a solutionist list of principles or suggestions, but a manifesto for a way of thinking about the ethical challenges of living with biometrics in today’s world, by raising the right questions. We argue that a revitalized discussion of the basic existential stakes within human lived experience is needed and should serve as the foundation on which comprehensive frameworks can be built to address the complexities and prospects for ethical machines, responsible biometrics and AI. (shrink)

Social media commentary, satellite imagery and GPS data are a part of ‘alternative data’, that is, data that originate outside of the standard repertoire of market data but are considered useful for predicting stock prices, detecting different risk exposures and discovering new price movement indicators. With the availability of sophisticated machine-learning analytics tools, alternative data are gaining traction within the investment management and algorithmic trading industries. Drawing on interviews with people working in investment management and algorithmic trading firms utilizing alternative (...) data, as well as firms providing and sourcing such data, we emphasize social media-based sentiment analytics as one manifestation of how alternative data are deployed for stock price prediction purposes. This demonstrates both how sentiment analytics are developed and subsequently utilized by investment management firms. We argue that ‘alternative data’ are an open-ended placeholder for every data source potentially relevant for investment management purposes and harnessing these disparate data sources requires certain standardization efforts by different market participants. Besides showing how market participants understand and use alternative data, we demonstrate that alternative data often undergo processes of prospecting and assetization. We further contend that the widespread embracement of alternative data in investment management and trading encourages a financialization process at the data level which raises new governance issues. (shrink)

Machine behavior that is based on learning algorithms can be significantly influenced by the exposure to data of different qualities. Up to now, those qualities are solely measured in technical terms, but not in ethical ones, despite the significant role of training and annotation data in supervised machine learning. This is the first study to fill this gap by describing new dimensions of data quality for supervised machine learning applications. Based on the rationale that different social and psychological backgrounds of (...) individuals correlate in practice with different modes of human–computer-interaction, the paper describes from an ethical perspective how varying qualities of behavioral data that individuals leave behind while using digital technologies have socially relevant ramification for the development of machine learning applications. The specific objective of this study is to describe how training data can be selected according to ethical assessments of the behavior it originates from, establishing an innovative filter regime to transition from the big data rationale n = all to a more selective way of processing data for training sets in machine learning. The overarching aim of this research is to promote methods for achieving beneficial machine learning applications that could be widely useful for industry as well as academia. (shrink)

Today’s bodies are akin to ‘walking sensor platforms’. Bodies either host, or are the subjects of, an array of sensing devices that act to convert bodily movements, actions and dynamics into circulative data. This article proposes the notions of ‘disembodied exhaust’ and ‘embodied exhaustion’ to conceptualise processes of bodily sensorisation and datafication. As the material body interfaces with networked sensor technologies and sensing infrastructures, it emits disembodied exhaust: gaseous flows of personal information that establish a representational data-proxy. It is this (...) networked actant that progressively structures how embodied subjects experience their daily lives. The significance of this symbiont medium in determining the outcome of interplays between networked individuals and audiences necessitates that it is carefully contrived. The article explores the nature and function of the data-proxy, and its impact on social relations. Drawing on examples that depict individuals engaging with their data-proxies, the article suggests that managing a virtual presence is analogous to a work relation, demanding diligence and investment. But it also shows how the data-proxy operates as a mode of affect that challenges conventional distinctions made between organic and inorganic bodies, agency and actancy, mortality and immortality, presence and absence. (shrink)

Big Data are increasingly used in machine learning in order to create predictive models. How are predictive practices that use such models to be situated? In the field of surveillance studies many of its practitioners assert that “governance by discipline” has given way to “governance by risk”. The individual is dissolved into his/her constituent data and no longer addressed. I argue that, on the contrary, in most of the contexts where predictive modelling is used, it constitutes Foucauldian discipline. Compliance to (...) a norm occupies centre stage; suspected deviants are subjected to close attention—as the precursor of possible sanctions. The predictive modelling involved uses personal data from both the focal institution and elsewhere. As a result, the individual re-emerges as the focus of scrutiny. Subsequently, small excursions into Foucauldian texts discuss his discourses on the creation of the “delinquent”, and on the governmental approach to smallpox epidemics. It is shown that his insights only mildly resemble prediction as based on machine learning; several conceptual steps had to be taken for modern machine learning to evolve. Finally, the options available to those subjected to predictive disciplining are discussed: to what extent can they comply, question, or resist? Through a discussion of the concepts of transparency and “gaming the system” I conclude that our predicament is gloomy, in a Kafkaesque fashion. (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)

This article provides an introduction to a special issue of Body & Society that explores the surveillance--embodiment nexus. It accentuates both the prevalence and consequence of bodies being increasingly converted into ‘objects of information’ by surveillance technologies and systems. We begin by regarding the normalcy of body monitoring in contemporary life, illustrating how a plurality of biometric scanners operate to intermediate the physical surfaces and subjective depths of bodies in accordance with various concerns. We focus on everyday experiences of bodily (...) intermediation by surveillant dispositifs, and consider the broader political, epistemological, and ontological significance of these processes. We then point to the substantive intersections and divergences existing between body and surveillance studies. We conclude with an overview of the five articles appearing in this special issue. We describe how each contribution creates a template for imagining what a body is, and what a body might become, in a culture defined by proliferating data sharing behaviours, systems of codification, and practices of intermediation. (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)

Poor air quality is a pressing global challenge contributing to adverse health impacts around the world. In the past decade, there has been a rapid proliferation of air quality information delivered via sensors, apps, websites or other media channels in near real-time and at increasingly localized geographic scales. This paper explores the growing emphasis on self-monitoring and digital platforms to supply informational interventions for reducing pollution exposures and improving health outcomes at the individual level. It presents a technological case study (...) that characterizes emerging air quality information communication mechanisms, or ‘AQ channels’, while drawing upon examples throughout the literature. The questions are posed: which air quality channels are ‘freely’ available to individuals in London, UK, and when and where are they accessed? Digital trace data and metadata associated with 54 air quality channels are synthesized narratively and graphically. Results reveal air quality channels derive air pollution estimates using common data sources, display disparate messaging, adopt variable geographic scales for reporting ‘readings’ and maintain psychosocial barriers to access and adoption of exposure-reducing behaviours. The results also point to a clear association between the publication of a high-profile news article about air pollution and increased air quality channel access. These findings illuminate a need for greater transparency around how air quality channels generate personalized air pollution exposure estimates and tailor messaging. The paper concludes by calling for air quality channel developers to exercise co-creative methods that can support sustainable, democratic data and knowledge production around air quality, while critically approaching disproportionate patterns of both pollution and information exposure. (shrink)

With Google marking its 20th year online, the piece provides a retrospective of cultural commentary and select works of Google art that have transformed the search engine into an object of critical interest. Taken up are artistic and cultural responses to Google by independent artists but also by cultural critics and technology writers, including the development of such evocative notions as the deep web, flickering man and filter bubble. Among the critiques that have taken shape in the works to be (...) discussed here are objects and subjects brought into being by Google, Googlization, Google’s information politics, its licensing as well as issues surrounding specific products such as Google Street View, as Google leaves the web, capturing more spaces to search. (shrink)

This article suggests that Facebook embodies a new logic of capitalist governance, what has been termed the ‘social logic of the derivative’. The logic of the derivative is rooted in the now dominant financial level of the capitalist economy, and is mediated by social media and the algorithmic processing of large digital data sets. This article makes three precise claims: First, that the modus operandi of Facebook mirrors the operations of derivative financial instruments. Second, that the algorithms that Facebook uses (...) share a genealogy with those of derivative financial instruments – both are outcomes of the influence of the ‘cyber sciences’ on managerial practice in the post-war years. Third, that the future potential of Facebook lies in its ability to apply the logic of derivatives to the financial valuation of ordinary social relations, thus further extending the process of financialization of everyday life. (shrink)

The recent history of finance has been widely portrayed, by both critics and practitioners, as a story about risk. As pointed out by Mary Poovey, focusing on risk entails forgetting uncertainty. In this paper, I argue forgetting uncertainty leads to an inability to distinguish between rational and mystical modes of financial thinking. Using literary-theoretical analysis, I read three exemplary texts across each other: Frank Knight’s seminal 1921 treatise, Risk, Uncertainty, and Profit, which helped justify the modern corporate financial form; Elie (...) Ayache’s 2010 The Blank Swan, a philosophical account of derivatives trading that exemplifies more recent developments in finance; and Don DeLillo’s 2013 Cosmopolis, a novel that remediates the structures of thought implied by the other texts’ philosophical commitments. This textual nexus allows me to explicate the characteristic form of financial mysticism, rendering it visible against claims that derivatives and financial theory have fully rationalized finance. (shrink)

Many actors mobilize the cognitive, legal and technical tool-box of data protection when they discuss and address controversial issues such as digital mass surveillance. Yet, critical approaches to the digital only barely explore the politics of data protection in relation to data-driven governance. Building on governmentality studies and Actor-Network-Theory, this article analyses the potential and limits of using data protection to critique the ‘digital age’. Using the conceptual tool of dispositifs, it sketches an analytics of data protection and the emergence (...) of its configuration as ‘data protection by design and by default’. This exploration reminds us that governing through data implies, first and foremost, governing digital data. (shrink)

Securing the internet has arguably become paradigmatic for modern security practice, not only because modern life is considered to be impossible or valueless if disconnected, but also because emergent cyber-relations and their complex interconnections are refashioning traditional security logics. This paper analyses European modes of governing geared toward securing vital, emergent cyber-systems in the face of the interconnected emergency. It develops the concept of ‘bureaucratic vitalism’ to get at the tension between the hierarchical organization and reductive knowledge frames of security (...) apparatuses on the one hand, and the increasing desire for building ‘resilient’, dispersed, and flexible security assemblages on the other. The bureaucratic/vital juxtaposition seeks to capture the way in which cybersecurity governance takes emergent, complex systems as object and model without fully replicating this ideal in practice. Thus, we are concerned with the question of what happens when security apparatuses appropriate and translate vitalist concepts into practice. Our case renders visible the banal bureaucratic manoeuvres that seek to operate upon security emergencies by fostering connectivities, producing agencies, and staging exercises. (shrink)

This article develops a method for investigating the consequences of algorithmic systems according to the documents that specify their design constrains. As opposed to reverse engineering algorithms to identify how their logic operates, the article proposes to design or "forward engineer" algorithmic systems in order to theorize how their consequences are informed by design constraints: the specific problems, use cases, and presuppositions that they respond to. This demands a departure from algorithmic reformism, which responds to concerns about the consequences of (...) algorithmic systems by proposing to make algorithms more transparent or less biased. Instead, by investigating algorithmic systems according to documents that specify their design constraints, we identify how the consequences of algorithms are presupposed by the problems that they propose to solve, the types of solutions that they enlist to solve these problems, and the systems of authority that these solutions depend on. To accomplish this, this article develops a methodological framework for researching the process of designing algorithmic systems. In doing so, it proposes to move beyond reforming the technical implementation details of algorithms in order to address the design problems and constraints that underlie them. (shrink)

Spatial Big Data—be this natively geocoded content, geographical metadata, or data that itself refers to spaces and places—has become a pervasive presence in the spaces and practices of everyday life. Beyond preoccupations with “the geotag” and with mapping geocoded social media content, this special theme explores what it means to encounter and experience spatial Big Data as a quotidian phenomenon that is both spatial, characterized by and enacting of material spatialities, and spatializing, configuring relations between subjects, objects, and spaces in (...) new and unprecedented ways. (shrink)

The aim of this article is to provide a discussion of scholarly ‘crisis of modernity’ discourses that have developed in the field of social philosophy. Re-visiting past and present discourses can be illuminating in at least three ways: it can reveal the broader picture of the present financialized and technologized world and the rise of financial technologies; it can provide scholars with new vocabularies, concepts, and metaphors to comprehend present-day phenomena and developments; and it can reveal the variety of commitments (...) that are possible, today, too. This article starts with a discussion of the original ‘crisis of modernity’ discourses, in which the clashing arguments of Comte and Tocqueville are featured, and a discussion of a second ‘crisis of modernity’ that developed in the context of the ‘Great Depression.’ A third ‘crisis of modernity’ discourse emerged in the wake of the financial crises of the 1970s. Such crises are still ongoing and discussed within the boundaries of the third ‘crisis of modernity’ discourse. How financial technologies do and do not fit within this third discourse is discussed in the remainder of this article. (shrink)

Remote monitoring of implantable cardioverter defibrillator (ICD) patients links patients wirelessly to the clinic via a box in their bedroom. The box transmits data from the ICD to a remote database accessible to clinicians without patient involvement. Data travel across time and space; clinicians can monitor patients from a distance and instantly know about cardiac events. Based on ethnographic fieldwork in two Danish hospitals, this article explores the configuration of the wireless ICD patient by following a number of patients through (...) hospitalisation, implantation, in-clinic follow-up, and remote monitoring. Wireless therapy, we argue, scripts the patient as data. In high-tech clinical encounters, data are enacted as extensions and copies of the patient, and even proxies that, in patients’ experiences, may turn into identity thieves. In illuminating the multiple positions that data take in such clinical encounters and in patients’ experiences we discuss the ambiguities that arise when patients go wireless. (shrink)

This article will take up Deleuze and Guattari’s allusive yet insightful writings on ‘the secret’ by considering the secret across three intermingling registers or modulations: as content (secret), as form (secrecy), and as expression (secretion). Setting the secret in relation to evolving modes of technological mediation and sociality as respectively pocket, pooling, and plasma, the article works through a trio of examples in order to understand the contemporary movements of secrets: the memories of secrets evoked in an intimately interactive music (...) video by the band Arcade Fire (as an example of ‘pocket’); the movements of secrecy turned fabulative in the scopic-doublings of airport full-body scanners (as ‘pooling’); and, finally, the collective secretions that come to saturate and stretch around the globe as expressed by liquidity-seeking financial innovations (providing an angle onto ‘plasma’). These three instantiations of contemporary secrecy are framed by a discussion of Julian Assange of WikiLeaks and Mark Zuckerberg of Facebook – truly a couple for our age: each intent, in their own way, upon bringing an end to secrets. Throughout, we try to maintain close attention to the emerging rhythms and dissonances that engage secrecy in a dance between the half-voluntary and the half-enforced. (shrink)