This article presents findings of a research carried out among pro-refugee individuals in social media in Hungary. During the so-called refugee crisis that emerged in the summer of 2015, anti-immigrant sentiments in the Hungarian public were fueled by a strong governmental campaign. This unusually strong propaganda campaign created a strong hegemonic discourse. Nevertheless, a pro-refugee counterpublic opposing the hegemonic discourse also emerged. The article discusses existing scholarly literature on the phenomenon and how it appears in and is shaped by the (...) digital sphere. The empirical findings focus on two characteristics of the pro-refugee counterpublic. First, we look at the political affiliations of this counterpublic. Second, we ask if the different digital affordances used by the counterpublic and their combinations indicate the formation of a community. The methodological ambition of the article is to present a digital data-driven approach, based on data provided by Facebook, which allows the individual profiling of each user. The connections and schemata of these profiles provide the analytical background of the present research. We aim to illustrate that such a digital approach has a number of advantages over traditional sociological methods, especially in the research of subaltern counterpublics. (shrink)

Digitization and datafication of public space have a significant impact on how cities are developed, governed, perceived and used. As technological developments are based upon political decisions, which impact people’s everyday lives, and from which not everyone benefits or suffers equally, we argue that ‘the smart city’ should be part of continuous public debate; that it should be considered and treated as a social problem. Through nine focus groups, we invited respondents to explore and discuss instances and dilemmas of the (...) smart city. We investigated which interpretative repertoires they used to frame the smart city as a social and actionable problem. Following Blumer's and Gamson's theories on the social construction of problems and on collective action frames, we assessed respondents’ discursive interpretations and their subjective construction of their senses of injustice, agency and identity regarding this subject. We find that – in the context of the city of Rotterdam in The Netherlands – citizens do not experience and consider the smart city as a social and actionable problem. Although they do associate the technological development of smart cities with potential threats, this does not change or constrain their sense of ‘actionability’, nor their behaviour, as they consider themselves to be powerless individuals regarding what, in their eyes, is a complex, elusive and inevitable situation they are confronted with. Strikingly, rather than specifically and contextually reflecting on smart city issues, respondents tended to express their concerns in the more general context of digital and data technologies invading everyday life. (shrink)

With an estimated one billion smartphones producing over 5 petabytes of data a day, the spatially aware mobile device has become a near ubiquitous presence in daily life. Cogent, excellent research in a variety of fields has explored what the spatial data these devices produce can reveal of society, such as analysis of Foursquare check-ins to reveal patterns of mobility for groups through a city. In such studies, the individual intentions, motivations, and desires behind the production of said data can (...) become lost through computational aggregation and analysis. In this commentary, I argue for a rethinking of the epistemological leap from individual to data point through a seating of the reflexive, self-eliciting subject as an object for spatial big data research. To do so, I first situate current research on spatial big data within a computational turn in social sciences that relies overly on the data produced as a stand-in for the subject producing said data. Second, I argue that a recent shift within geography and cognate disciplines toward viewing spatial big data as a form of spatial media allows for study of the sociotechnical processes that produce modern assemblages of data and society. As spatial media, the spatial big data created through mobile device use can be understood as the data of everyday life and as part of the sociotechnical processes that produce individuals, data, and space. Ultimately, to understand the data of everyday life, researchers must write thick descriptions of the stories we tell ourselves about the data we give off to others. (shrink)

This introduces a series of articles in a themed section entitled City of Potentialities: Race, Violence and Invention. The section concerns how we might think more specifically about how to act in domains where complexity is both a resource for the imagination and an impediment to action. What kinds of dilemmas do residents face and what kinds of practices do they engage in in order to continuously gather up the tools and possibilities to endure in volatile urban conditions, where volatility (...) seems a critical force in the simultaneous undoing and remaking of life, as well as in providing assets and opportunities to inhabitants? How does violence obscure the various manoeuvres and practices that keep things together or apart? (shrink)

Politically, Europe has been unable to address itself to a constituted polity and people as more than an agglomeration of nation-states. From the resurgence of nationalisms to the crisis of the single currency and the unprecedented decision of a member state to leave the European Union, core questions about the future of Europe have been rearticulated: Who are the people of Europe? Is there a European identity? What does it mean to say, “I am European?” Where does Europe begin and (...) end? and Who can legitimately claim to be a part of a “European” people? The special issue seeks to contest dominant framings of the question “Who are the people of Europe?” as only a matter of government policies, electoral campaigns, or parliamentary debates. Instead, the contributions start from the assumption that answers to this question exist in data practices where people are addressed, framed, known, and governed as European. The central argument of this SI is that it is through data practices that the EU seeks to simultaneously constitute its population as a knowable, governable entity, and as a distinct form of peoplehood where common personhood is more important than differences. (shrink)

Google Trends reveals that at the time we were writing our article on ‘The Coming Crisis of Empirical Sociology’ in 2007 almost nobody was searching the internet for ‘Big Data’. It was only towards the very end of 2010 that the term began to register, just ahead of an explosion of interest from 2011 onwards. In this commentary we take the opportunity to reflect back on the claims we made in that original paper in light of more recent discussions about (...) the social scientific implications of the inundation of digital data. Did our paper, with its emphasis on the emergence of, what we termed, ‘social transactional data’ and ‘digital byproduct data’ prefigure contemporary debates that now form the basis and rationale for this excellent new journal? Or was the paper more concerned with broader methodological, theoretical and political debates that have somehow been lost in all of the loud babble that has come to surround Big Data. Using recent work on the BBC Great British Class Survey as an example this brief paper offers a reflexive and critical reflection on what has become – much to the surprise of its authors – one of the most cited papers in the discipline of sociology in the last decade. (shrink)

Much has been written about data politics in the last decade, which has generated myriad concepts such as ‘surveillance capitalism’, ‘gig economy’, ‘quantified self’, ‘algorithmic governmentality’, ‘data colonialism’, ‘data subjects’ and ‘digital citizens’. Yet, it has been difficult to plot these concepts into an historical series to discern specific continuities and discontinuities since the origins of modern power in its three major forms: sovereign, disciplinary and regulatory. This article argues that the coronavirus pandemic in 2020 brought these three forms of (...) power into sharp relief but made particularly visible a fourth form of power that we name ‘sensory power’, which has been emerging since the 1980s. The article draws on early studies of power by Michel Foucault, subsequent studies on biopower and biopolitics that expanded on them, and studies in the past decade that focused on data produced from apps, devices and platforms. Yet, despite its ambition, the article is inevitably an outline of a much larger project. (shrink)

In this article, we argue that dominant norms of demographic data are insufficient for accounting for the complexities that characterize many lesbian, gay, bisexual, transgender, and queer lives. Here, we draw from the responses of 178 people who identified as non-heterosexual or non-cisgender to demographic questions we developed regarding gender and sexual orientation. Demographic data commonly imagines identity as fixed, singular, and discrete. However, our findings suggest that, for LGBTQ people, gender and sexual identities are often multiple and in flux. (...) An overwhelming majority of our respondents reported shifting in their understandings of their sexual identities over time. In addition, for many of our respondents, gender identity was made up of overlapping factors, including the relationship between gender and transgender identities. These findings challenge researchers to reconsider how identity is understood as and through data. Drawing from critical data studies, feminist and queer digital media studies, and social justice initiatives like Data for Black Lives, we call for a reimagining of identity-based data as “queer data” or “data for queer lives.” We offer also recommendations for researchers to develop more inclusive survey questions. At the same time, we address the ways that queer perspectives destabilize the underlying logics of data by resisting classification and “capture.” For marginalized people, the stakes of this work extend beyond academia, especially in the era of algorithms and big data when the issue of who is or is not “counted” profoundly affects visibility, access, and power in the digital realm. (shrink)

The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. This article chronicles the collaboration between a team of anthropologists and sociologists, who worked together for one week in an experimental attempt to combine ‘big’ transactional and ‘small’ ethnographic data formats. Our collaboration is (...) part of a larger cross-disciplinary project carried out at the Danish Technical University, where high-resolution transactional data from smartphones allows for recordings of social networks amongst a freshman class. With a parallel deployment of ethnographic fieldwork among the DTU students, this research set-up raises a number of questions concerning how to assemble disparate ‘data-worlds’ and to what epistemological and political effects? To address these questions, a specific social event – a lively student party – was singled out from the broader DTU dataset. Our experimental collaboration used recordings of Bluetooth signals between students’ phones to visualize the ebb and flow of social intensities at the DTU party, juxtaposing these with ethnographic field-notes on shifting party atmospheres. Tracing and reflecting on the process of combining heterogeneous data, the article offers a concrete case of how a ‘stitching together’ of digital and ethnographic data-worlds might take place. (shrink)

In this study, we build on a recent social data scientific mapping of Danish environmentalist organizations and activists during the COVID-19 lockdown in order to sketch a distinct genre of digital social research that we dub a quali-quantitative micro-history of ideas in real-time. We define and exemplify this genre by tracing and tracking the single political idea and activist slogan of grøn genstart across Twitter and other public–political domains. Specifically, we achieve our micro-history through an iterative and mutual attuning between (...) computational and netnographic registers and techniques, in ways that contribute to the nascent field of computational anthropology. By documenting the serial ways in and different steps through which our inquiry was continually fed and enhanced by crossing over from ethnographic observation to computational exploration, and vice versa, we offer up our grøn genstart case account as exemplary of wider possibilities in this line of inquiry. In particular, we position the genre of micro-history of ideas in real-time within the increasingly wide and heterogeneous space of digital social research writ large, including its established concerns with ‘big and broad’ social data, the repurposing of computational ‘interface’ techniques for socio-cultural research, as well as diverse aspirations for deploying digital data within novel combinations of qualitative and quantitative methods. (shrink)

The rise of Big Data in the social realm poses significant questions at the intersection of science, technology, and society, including in terms of how new large-scale social databases are currently changing the methods, epistemologies, and politics of social science. In this commentary, we address such epochal questions by way of a experiment: at the Danish Technical University in Copenhagen, an interdisciplinary group of computer scientists, physicists, economists, sociologists, and anthropologists is setting up a large-scale data infrastructure, meant to continually (...) record the digital traces of social relations among an entire freshman class of students. At the same time, fieldwork is carried out on friendship relations amongst the same group of students. On this basis, the question we pose is the following: what kind of knowledge is obtained on this social micro-cosmos via the Big and Small Data, respectively? How do the two relate? Invoking Bohr’s principle of complementarity as analogy, we hypothesize that social relations, as objects of knowledge, depend crucially on the type of measurement device deployed. At the same time, however, we also expect new interferences and polyphonies to arise at the intersection of Big and Small Data, provided that these are, so to speak, mixed with care. These questions, we stress, are important not only for the future of social science methods but also for the type of societal knowledge that may be expected from new large-scale social databases. (shrink)

If the twentieth century was the age of the world picture taken as a photograph of the Whole Earth from outer space, today’s observations of the planet are produced by means of computer simulation. Pandemic models are of paramount sociological interest in this respect, since modelling contagion is closely intertwined with modelling the material connectivities of social life. By envisioning the global dynamics of disease transmission, pandemic simulations enact the relationscapes of a transnational world. This article seeks to analyse such (...) an enactment: It asks how simulation methods can establish a particular relation to the social from within the social. To provide an answer to this question, and adopting Niklas Luhmann’s theory of world society, pandemic simulations are described as modes of global self-observation that can be specified factually, socially, spatially and temporally. They instantiate a ‘doubling of reality’ designed to apprehend the potential future threat of disease transmission along the pathways marked by global infrastructures. They constitute scopic regimes that virtually synthesize a global situation of universal communicability in order to turn the world into an object of political intervention. (shrink)

This article introduces an interpretative approach to the analysis of situations in computational settings called situational analytics. I outline the theoretical and methodological underpinnings of this approach, which is still under development, and show how it can be used to surface situations from large data sets derived from online platforms such as YouTube. Situational analytics extends to computationally-mediated settings a qualitative methodology developed by Adele Clarke, Situational Analysis, which uses data mapping to detect heterogeneous entities in fieldwork data to determine (...) ‘what makes a difference’ in a situation. Situational analytics scales up this methodology to analyse situations latent in computational data sets with semi-automated methods of textual and visual analysis. I discuss how this approach deviates from recent analyses of situations in computational social science, and argue that Clarke’s framework renders tractable a fundamental methodological problem that arises in this area of research: while social researchers turn to computational settings in order to analyse social life, the social processes unfolding in these envirnoments are fundamentally affected by the computational architectures in which they occur. Situational analytics offers a way to address this problematic by making a heterogeneously composed situation – involving social, technical and media elements – the unit of computational analysis. To conclude, I show how situational analytics can be applied in a case study of YouTube videos featuring intelligent vehicles and discuss how situational analysis itself needs to be elaborated if we are to come to terms with computational transformations of the situational fabric of social life. (shrink)

Mapping a public discourse with the tools of computational text analysis comes with many contingencies in the areas of corpus curation, data processing and analysis, and visualisation. However, the complexity of algorithmic assemblies and the beauty of resulting images give the impression of ‘objectivity’. Instead of concealing uncertainties and artefacts in order to tell a coherent and all-encompassing story, retaining the variety of alternative assemblies may actually strengthen the method. By utilising the mobility of digital devices, we could create mutable (...) mobiles that allow access to our laboratories and enable challenging rearrangements and interpretations. (shrink)

As a contribution to current debates on the ‘social life of methods’, in this article we present an ethnomethodological study of the role of understanding within statistical practice. After reviewing the empirical turn in the methods literature and the challenges to the qualitative-quantitative divide it has given rise to, we argue such case studies are relevant because they enable us to see different ways in which ‘methods’, here quantitative methods, come to have a social life – by embodying and exhibiting (...) understanding they ‘make the social structures of everyday activities observable’ ( Garfinkel, 1967 : 75), thereby putting society on display. Exhibited understandings rest on distinctive lines of practical social and cultural inquiry – ethnographic ‘forays’ into the worlds of the producers and users of statistics – which are central to good statistical work but are not themselves quantitative. In highlighting these non-statistical forms of social and cultural inquiry at work in statistical practice, our case study is an addition to understandings of statistics and usefully points to ways in which studies of the social life of methods might be further developed from here. (shrink)

How is economics made public? Specifically, how is economics made public on Google? Here we explore a methodological problem – studying google-knowing – and simultaneously explore the more pragmati...

In social and cultural theory, topology has been used to articulate changes in structures and spaces of power. In this introduction, we argue that culture itself is becoming topological. In particular, this ‘becoming topological’ can be identified in the significance of a new order of spatio-temporal continuity for forms of economic, political and cultural life today. This ordering emerges, sometimes without explicit coordination, in practices of sorting, naming, numbering, comparing, listing, and calculating. We show that the effect of these practices (...) is both to introduce new continuities into a discontinuous world by establishing equivalences or similitudes, and to make and mark discontinuities through repeated contrasts. In this multiplication of relations, topological change is established as being constant, normal and immanent, rather than being an exceptional form, which is externally produced; that is, forms of economic, political and cultural life are identified and made legible in terms of their capacities for continuous change. Outlining the contributions to this Special Issue, the introduction discusses the meaning of topological culture and provides an analytic framework through which to understand its implications. (shrink)

In this article, we present a few lessons we learnt in the establishment of the Sciences Po médialab. As an interdisciplinary laboratory associating social scientists, code developers and information designers, the médialab is not one of a kind. In the last years, several of such initiatives have been established around the world to harness the potential of digital technologies for the study of collective life. If we narrate this particular story, it is because, having lived it from the inside, we (...) can provide an intimate account of the surprises and displacements of digital research. Founding the médialab in 2009, we knew that we were leaving the reassuring traditions of social sciences to venture in the unexplored territory of digital inscriptions. What we couldn't foresee was how much such encounter would change our research. Buying into gospel of Big Data, we imagined that the main novelty of digital research came from handling larger amounts of data. We soon realized that the interest of digital inscriptions comes instead from their proliferating diversity. Such diversity encouraged us to reshape our professional alliances, research practices and theoretical perspectives. It also led us to overcome several of the oppositions that used to characterize social sciences and to move in the direction of a more continuous sociology. (shrink)

The relationship between politics and the digital has largely been characterized as one of epochal change. The respective theories understand the digital as external to politics and society, as an autonomous driver for global, unilateral transformation. Rather than supporting such singular accounts of the relationship between politics and the digital, this article argues for its specificity: the digital is best examined in terms of folds within existing socio-technical configurations, and as an artefact with a set of affordances that are shaped (...) and filled with meaning by social practice. In conceptualizing the digital as numeric, countable, computable, material, storable, searchable, transferable, networkable and traceable, fabricated and interpreted, it becomes clear that the digital cannot be divorced from the social. These affordances of the digital are discussed in relation to specific political, digital practices that are further developed in the different contributions in this special issue, such as predictive policing (Aradau and Blanke, this issue), data protection (Bellanova, this issue), extremist recruitment videos (Leander, this issue), political acclamation (Dean, this issue), and pandemic simulations (Opitz, this issue). (shrink)

This article maps a controversy in network science over the last 15 years, dividing the field about the epistemic status of a central notion, scale-freeness. The article accounts for the two main disputes, in 2005 and in 2018, as they unfolded in academic publications and on social media. This article analyzes the conflict, and the reasons why it reignited in 2018, to the surprise of many. It is argued that the concept of complex networks is shared by the distinct subcultures (...) of theorists and experimentalists; and that these subcultures have incompatible approaches to knowledge: nomothetic and idiographic. Following Galison, this article contends that network science is a trading zone where theorists and experimentalists can trade knowledge across the epistemic divide. (shrink)

In this paper, we reflect on the disciplinary contours of contemporary sociology, and social science more generally, in the age of ‘big and broad’ social data. Our aim is to suggest how sociology and social sciences may respond to the challenges and opportunities presented by this ‘data deluge’ in ways that are innovative yet sensitive to the social and ethical life of data and methods. We begin by reviewing relevant contemporary methodological debates and consider how they relate to the emergence (...) of big and broad social data as a product, reflexive artefact and organizational feature of emerging global digital society. We then explore the challenges and opportunities afforded to social science through the widespread adoption of a new generation of distributed, digital technologies and the gathering momentum of the open data movement, grounding our observations in the work of the Collaborative Online Social Media ObServatory project. In conclusion, we argue that these challenges and opportunities motivate a renewed interest in the programme for a ‘public sociology’, characterized by the co-production of social scientific knowledge involving a broad range of actors and publics. (shrink)

This article traces an emergent tension in an interdisciplinary public health project called Weather Health and Air Pollution. The tension centered on two different kinds of data of air pollution: monitored and modeled data. Starting out with monitoring and modeling practices, the different ways in which they enacted air pollution are detailed. This multiplicity was problematic for the WHAP scientists, who were intent on working across disciplines, an initiative driven primarily by the epidemiologists who imbued the project with meaning and (...) value as the protagonists of “health.” To work collaboratively implies a stable, singular, and shared research object, however: one kind of data, one version of air pollution. In detailing two attempts by researchers to address the inadequacies of modeled and monitored data, this article explores the ways in which difference and multiplicity were negotiated and transformed. In doing so, this article suggests that it is the mobility and instability of data that are particularly fruitful for exploring the facilitation and enactment of new realities, while also making explicit the emergent problematics and partialities which inevitably result. (shrink)

The article examines the construction of “Big Data” in media discourse. Rather than asking what Big Data really is or is not, it deals with the discursive work that goes into making Big Data a socially relevant phenomenon and problem in the first place. It starts from the idea that in modern societies the public understanding of technology is largely driven by a media-based discourse, which is a key arena for circulating collectively shared meanings. This largely ignored dimension invites us (...) to appreciate what matters to journalists and the wider public when discussing the collection and use of data. To this end, our study looks at how Big Data is framed in terms of the governmental use of large datasets as a contentious area of data application. It reconstructs the perspectives surrounding the so-called “Handygate” affair in Germany based on broadcast news and social media conversations. In this incident, state authorities collected and analyzed mobile phone data through a radio cell query during events to commemorate the Dresden bombing in February 2011. We employ a qualitative discourse analysis that allows us to reconstruct the conceptualizations of Big Data as a proper instrument for criminal prosecution or an unjustified infringement of constitutional rights. (shrink)

This article draws on research undertaken by the authors as part of the Administrative Data Research Centre in England. Between 2014 and 2017, we conducted four case studies on government administrative data for education, transport, energy and health. The purpose of the research was to examine stakeholder perspectives about the sharing, linking and re-use of government administrative data. In relation to the role and nature of consent given by data subjects for re-use, our study revealed significant variations in data provider (...) and researcher attitudes. Although our study setting was England, we believe that the findings have wider resonance. Our analysis identified six factors which might account for the variations around consent: the specificities of the legislative framework governing the collection and processing of particular data; the type of data being collected and the relational context in which it is created; the broader information governance framework in which the data resides; the creating organization's approach to data release; the relative levels of risk aversity within the creating organization; and public perceptions and social attitudes. In conclusion, we consider whether consent is still the best mechanism available for data re-use, or whether a social contract model of data sharing should be developed. (shrink)

Recent works have suggested an analytical complementarity in mixing big and thick data sources. These works have, however, remained as programmatic suggestions, leaving us with limited methodological inputs on how to archive such complementary integration. This article responds to this limitation by proposing a method for ‘blending’ big and thick analytical insights. The paper first develops a methodological framework based on the cognitivist linguistics terminology of ‘blending’. Two cases are then explored in which blended spaces are crafted from engaging big (...) and thick analytical insights with each other. Through these examples, we learn how blending processes should be conducted as a rapid, iterative and collaborative effort with respect for individual expertise. Further, we demonstrate how the unique, but often overlooked, granularity of big data plays a key role in affording the blending with thick data. We conclude by suggesting four commonly appearing blending strategies that can be applied when relying upon big and thick data sources. (shrink)

Video data has now become the most common form of data for educational researchers studying classroom interaction and school culture. Software protocols for analysing vast archives of video data are deployed regularly, allowing researchers to annotate, code and sort images. These protocols are often applied by researchers without reflection or reference to the extensive philosophical work in film and media studies. Without exception, this research treats the video image as movement-image or picture, a recording of ‘raw data’, indexical of a (...) given time-space relationship. In this article I situate this kind of research within the history of scientific cinema, drawing on Deleuze's books on cinema, as well as his ideas on colour and figure from The Logic of Sensation, to propose an alternative way of analysing video data. One of the central claims of Deleuze in Cinema 2 is that the time-image reconfigures bodies as expressions of force – the body becomes a ‘shock of forces’. I argue that such an approach allows us to study the student body as less a phenomenological organism with built-in ‘I can’ cognitive and motor capacities, and more an indeterminate crystalline contraction and expansion of intensity. I present an example of how to study classroom video data as time-image, and explore the implications of such work for education research. (shrink)

The paper presents my first findings and reflections on how ordinary people may opportunistically and unpredictably respond to Internet censorship and tracking. I try to capture this process with the concept of ‘hacking multitude'. Working on a case study of the Turkish government's block of the social media platform Twitter, I argue that during systemic data choke-points, a multitude of users might acquire a certain degree of reflexivity over ubiquitous software of advanced techno-capitalism. Resisting naïve parallels between urban streets and (...) virtual global streets, the article draws on Fuller's ‘media ecologies' to make sense of complex and dynamic interactions between processes and materialities, strategies of communication and mundane practices. Such a dense space is mostly invisible to network and traffic analysis, although it comes alive under the magnifying lens of digital ethnography. As the Turkish government tried to stop protesters on both the urban and the Twitter spheres, alternative material configurations and new hybrid formations and practices emerged. I try to bring this process alive following the traces – that is, a combination of digital data and materialities – of a social space between the protest for Twitter access, the ‘digital coup' and the interactions that this situation determined. In the final section, I briefly explore two research trajectories which can further develop my initial formulation of a ‘hacking multitude'. I argue that a generalisation of hacking/multitude is problematic for the political, cultural or economic processes more directly associated with Big Data. (shrink)

The history of laboratories may become controversial in social sciences. In this paper, the story of Sciences Po Médialab told by Venturini et al. is discussed and completed by demonstrating the incoherence in the choice of digital methods at the Médialab from the actor network theory perspective. As the Médialab mostly used web topologies as structural analysis of social positions, they were not able to account for the propagation of ideas, considered in actor network theory as non-humans that have their (...) own agency. The main arguments in favour of the ‘more continuous social’ developed at the Médialab proved to be as misleading as the network metaphor. The distribution of agency that actor network theory so successfully expands was paradoxicallty reduced to structures and individual preferences, to the detriment of the agency of replications that circulate entities in the form of messages, content or memes, and that should now become the next step for actor network theory-style digital methods. (shrink)

The European Commission produces the European Core Health Indicators, a database containing different tools used to compare European Union countries and recommend policy changes. The ECHI feeds multiple reports and documents and finds its way into health policies. From this arises the main research question addressed in this paper: How is health in Europe influenced by ECHI data practices? Specifically, we look at how some health issues or populations are prioritized or dismissed, which ultimately shapes the meaning of and knowledge (...) about health in Europe. To do so, we first develop the conceptual framework of “data performativity,” underlining how data practices shape their object/subject. We then explore the politics of evidence behind the ECHI health data that materialize into the absence of some health issues and populations and the hypervisibility of neoliberal health. In the end, we argue, the ECHI serves as a site of individual, collective, and political identity enunciation. (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)

Academics across the sciences and humanities are increasingly being encouraged to use social media as a post-publication strategy to enhance and extend the impact of their articles and books. As well as various measures of social media impact, the turn towards publication outlets which are open access and free to use is contributing to anxieties over where, what and how to publish. This is all the more pernicious given the increasing measures of academic value that govern the academy, and the (...) stresses, strains and hidden injuries that structure academic life. This article will debate these issues and their consequences for the humanities and social sciences by analysing the contours of a recent controversy in academic science publishing, which follows the after-lives of a highly cited journal article. This includes a discussion of the value and status of post-publication peer review, and the politics of open access publishing, of citation and the public communication of science within digital environments and archives. (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)