_Nomadic Subjects_ argues for a new kind of philosophical thinking, one that would include the insights of feminism and abandon the hegemonic mode that is conventionally adopted in high theory. Braidotti's personal, surprising, and lively prose insists on an integration of feminism in mainstream discourse. The essays explore problems that are central to current feminist debates including Western epistemology's relation to the "woman question," feminism and biomedical ethics, European feminism, and how American feminists might relate to European movements.

What are the parameters that define a posthuman knowing subject, her scientific credibility and ethical accountability? Taking the posthumanities as an emergent field of enquiry based on the convergence of posthumanism and post-anthropocentrism, I argue that posthuman knowledge claims go beyond the critiques of the universalist image of ‘Man’ and of human exceptionalism. The conceptual foundation I envisage for the critical posthumanities is a neo-Spinozist monistic ontology that assumes radical immanence, i.e. the primacy of intelligent and self-organizing matter. This implies (...) that the posthuman knowing subject has to be understood as a relational embodied and embedded, affective and accountable entity and not only as a transcendental consciousness. Two related notions emerge from this claim: firstly, the mind-body continuum – i.e. the embrainment of the body and embodiment of the mind – and secondly, the nature-culture continuum – i.e. ‘naturecultural’ and ‘humanimal’ transversal bonding. The article explores these key conceptual and methodological perspectives and discusses the implications of the critical posthumanities for practices in the contemporary ‘research’ university. (shrink)

This article responds to recent debates in critical algorithm studies about the significance of the term “algorithm.” Where some have suggested that critical scholars should align their use of the term with its common definition in professional computer science, I argue that we should instead approach algorithms as “multiples”—unstable objects that are enacted through the varied practices that people use to engage with them, including the practices of “outsider” researchers. This approach builds on the work of Laura Devendorf, Elizabeth Goodman, (...) and Annemarie Mol. Different ways of enacting algorithms foreground certain issues while occluding others: computer scientists enact algorithms as conceptual objects indifferent to implementation details, while calls for accountability enact algorithms as closed boxes to be opened. I propose that critical researchers might seek to enact algorithms ethnographically, seeing them as heterogeneous and diffuse sociotechnical systems, rather than rigidly constrained and procedural formulas. To do so, I suggest thinking of algorithms not “in” culture, as the event occasioning this essay was titled, but “as” culture: part of broad patterns of meaning and practice that can be engaged with empirically. I offer a set of practical tactics for the ethnographic enactment of algorithmic systems, which do not depend on pinning down a singular “algorithm” or achieving “access,” but which rather work from the partial and mobile position of an outsider. (shrink)

Big Data evangelists often argue that algorithms make decision-making more informed and objective—a promise hotly contested by critics of these technologies. Yet, to date, most of the debate has focused on the instruments themselves, rather than on how they are used. This article addresses this lack by examining the actual practices surrounding algorithmic technologies. Specifically, drawing on multi-sited ethnographic data, I compare how algorithms are used and interpreted in two institutional contexts with markedly different characteristics: web journalism and criminal justice. (...) I find that there are surprising similarities in how web journalists and legal professionals use algorithms in their work. In both cases, I document a gap between the intended and actual effects of algorithms—a process I analyze as “decoupling.” Second, I identify a gamut of buffering strategies used by both web journalists and legal professionals to minimize the impact of algorithms in their daily work. Those include foot-dragging, gaming, and open critique. Of course, these similarities do not exhaust the differences between the two cases, which are explored in the discussion section. I conclude with a call for further ethnographic work on algorithms in practice as an important empirical check against the dominant rhetoric of algorithmic power. (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)

Algorithms have become a widespread trope for making sense of social life. Science, finance, journalism, warfare, and policing—there is hardly anything these days that has not been specified as “algorithmic.” Yet, although the trope has brought together a variety of audiences, it is not quite clear what kind of work it does. Often portrayed as powerful yet inscrutable entities, algorithms maintain an air of mystery that makes them both interesting and difficult to understand. This article takes on this problem and (...) examines the role of algorithms not as techno-scientific objects to be known, but as a figure that is used for making sense of observations. Following in the footsteps of Harold Garfinkel’s tutorial cases, I shall illustrate the implications of this view through an experiment with algorithmic navigation. Challenging participants to go on a walk, guided not by maps or GPS but by an algorithm developed on the spot, I highlight a number of dynamics typical of reasoning with running code, including the ongoing respecification of rules and observations, the stickiness of the procedure, and the selective invocation of the algorithm as an intelligible object. The materials thus provide an opportunity to rethink key issues at the intersection of the social sciences and the computational, including popular concerns with transparency, accountability, and ethics. (shrink)

According to Ernst Cassirer, the transition from the concept of substance to that of mathematical function as a guide of knowledge coincided with the end of ancient and the beginning of modern theoretical thought. In the first part of this article we argue that a similar transition has also taken place in the practical sphere, where mathematical function occurs in one of its specific forms, which is that of the algorithm concept. In the second part we argue that with the (...) rise of modernity the idea of substance and the related concepts of category and classification, which are deeply embedded in western culture, have not been totally supplanted by that of function. The intertwining of the concepts of substance and function has generated contradictory hybrids. These hybrids are used as a key for the understanding of the different repercussions of algorithmic logic on society in terms of social integration. (shrink)

Although overarching if not foundational conceptualizations of digital governance in the field of critical data studies aptly account for and explain subjection, calculated resistance is left conceptually unattended despite case studies that document instances of resistance. I ask at the outset why conceptualizations of digital governance are so bleak, and I argue that all are underscored implicitly by a Deleuzian theory of desire that overlooks agency, defined here in Foucauldian terms. I subsequently conceptualize digital governance as encompassing subjection as well (...) as resistance, and I cast the two in relational perspective by making use of the concepts “affordance” and “assemblage” in conjunction with multiple subjectivities and Foucault's view of power as productive as well as his view of resistance as an “antagonism of strategies” in his late scholarship on resistance, ethics, and subjectivity. I offer examples of salient modes of what I call “productive” resistance, and from a Foucauldian perspective I explain how each mode targets and subverts technologies of repressive power to produce new elements of the digital environment and construct new truths. I conclude by recognizing the agency embodied in resistance as an end in itself, but I also consider that modes of productive resistance can have extrinsic value as they affect the fluid interaction among elements of the digital environment, potentially disrupting the presumed structure of dominance and dependence, and opening our conceptualization of algorithmic life to hopeful possibilities for change. (shrink)

This short paper acts as a comment on Totaro and Ninno's ‘The Concept of Algorithm as an Interpretative Key of Modern Rationality’ and also introduces some new avenues for exploring the organization of algorithms. In recent discussion of algorithms, concerns have been expressed regarding the apparent power, agential capacity and control that algorithms command of our lives ( Beer, 2009 ; Lash, 2007 ; Slavin, 2011 ; Spring, 2011 ; Stalder and Mayer, 2009 ). The logic of order, if there (...) is one within these discussions, appears somewhat distinct from the metaphor of recursion suggested by Totaro and Ninno. Using this distinction as a starting point, the paper explores alternative metaphors from which to begin an engagement with political questions of algorithmic ordering. The paper argues for engaging with associative metaphors of: algorithmic account, fluidity, absent-presence and sociality. The paper explores these associative metaphors through an important set of emerging questions regarding organizing algorithms: who and what is included or excluded, on what terms and to what ends? (shrink)

Science and technology studies and the emerging field of data science share surprising elective affinities. At the growing intersections of these fields, there will be many opportunities and not a few thorny difficulties for STS scholars. First, I discuss how both fields frame the rollout of data science as a simultaneously social and technical endeavor, even if in distinct ways and for diverging purposes. Second, I discuss the logic of domains in contemporary computer, information, and data science circles. While STS (...) is often agnostic about the borders between the sciences or with industry and state—occasionally taking those boundaries as an object of study—data science takes those boundaries as its target to overcome. These two elective affinities present analytic and practical challenges for STS but also opportunities for engagement. Overall, in addition to these typifications, I urge STS scholars to strategically position themselves to investigate and contribute to the breadth of transformations that seek to touch virtually every science and newly bind spheres of academy, industry, and state. (shrink)

This article proposes an analytical approach to algorithms that stresses operations of folding. The aim of this approach is to broaden the common analytical focus on algorithms as biased and opaque black boxes, and to instead highlight the many relations that algorithms are interwoven with. Our proposed approach thus highlights how algorithms fold heterogeneous things: data, methods and objects with multiple ethical and political effects. We exemplify the utility of our approach by proposing three specific operations of folding—proximation, universalisation and (...) normalisation. The article develops these three operations through four empirical vignettes, drawn from different settings that deal with algorithms in relation to AIDS, Zika and stock markets. In proposing this analytical approach, we wish to highlight the many different attachments and relations that algorithms enfold. The approach thus aims to produce accounts that highlight how algorithms dynamically combine and reconfigure different social and material heterogeneities as well as the ethical, normative and political consequences of these reconfigurations. (shrink)

In this paper we introduce the device perspective as a methodological contribution to platform studies. Through an engagement with debates about the notion of affordances, which focus on the relation between the technical and the social, we put forward an approach to study the production of data within platforms by engaging with the material properties of platforms as well as their interpretation and deployment by various types of users. As a case in point, we study how the affordances of Wikipedia (...) are deployed in the production of encyclopedic knowledge and how this can be used to study controversies. The analysis shows how Wikipedia affords unstable encyclopedic knowledge by having mechanisms in place that suggest the continuous negotiation of existing knowledge. We furthermore showcase the use of our open-source software, Contropedia, which can be utilized to study knowledge production on Wikipedia. (shrink)

We describe some of the ways that the field of content analysis is being transformed in an Era of Big Data. We argue that content analysis, from its beginning, has been concerned with extracting the main meanings of a text and mapping those meanings onto the space of a textual corpus. In contrast, we suggest that the emergence of new styles of text mining tools is creating an opportunity to develop a different kind of content analysis that we describe as (...) a computational hermeneutics. Here the goal is to go beyond a mapping of the main meaning of a text to mimic the kinds of questions and concerns that have traditionally been the focus of a hermeneutically grounded close reading, a reading that focuses on what Kenneth Burke described as the poetic meanings of a text. We illustrate this approach by referring to our own work concerning the rhetorical character of US National Security Strategy documents. (shrink)

Digital social analytics is a subset of Big Data methods that is used to understand the social environment in which people and organizations have to act. This paper presents an analysis of eight projects that are experimenting with the use of these methods for various purposes. It shows that two specific technological features influence the work with such methods in all the cases. The first concerns the need to distribute choices about the structure of data to third-party actors and the (...) second concerns the need to balance machine intelligence and human intuition when automating the analysis. These features set specific conditions for knowledge production, and the paper identifies two opposite approaches for engaging with each of these conditions. These features and approaches are finally combined into a two-dimensional affordance space that illustrates how there is flexibility in the way project leaders interact with the features of the data environment. It thereby also shows how digital social analytics come to have different affordances for different projects. (shrink)

This article explores some of the concerns which are being raised about algorithms with recourse to Habermas’s theory of communicative action. The intention is not to undertake an empirical examination of ‘algorithms’ or their consequences but to connect critical theory to some contemporary concerns regarding digital cultures. Habermas’s ‘colonization of life-worlds’ thesis gives theoretical expression to two different trends which underlie many current criticisms of the insidious influence of digital algorithms: the privatization of communication, and the particularization of knowledge and (...) experience. Habermas’s social theory therefore offers a useful framework for exploring some of the normative and political problems that are attributed to ‘algorithmic culture’ and ‘big data’. (shrink)

In response to Dick Pels's critical remarks, this article attempts to contextualize, historically and conceptually, some of the main points of poststructuralist philosophies of subjectivity. Special emphasis is placed on outlining and defending the political relevance of the `linguistic turn', especially of the kind of interventions upon language which poststructuralism and deconstruction are so often criticized for. Throughout this article, ample cross-reference is made to feminist theory and epistemology.

This article turns towards the spatial life of ‘digital infrastructures’, i.e. code, protocols, standards, and data formats that are hidden from view in everyday applications of computational technologies. It does so by drawing on the version control system Git as a case study, and telling the story of its initial development in order to reconstruct the circumstances and technical considerations surrounding its conception. This account engages with computational infrastructures on their own terms by adopting the figure of the ‘stack’ to (...) frame a technically informed analysis, and exploring its implications for a different kind of geographic inquiry. Drawing on topology as employed by Law and Mol, attention is given to the multiplicity of spatialities and temporalities enrolled in digital infrastructures in general, and Git specifically. Along the lines of the case study and by reading it against other literatures, this notion of topology is expanded to include the material performation of fundamentally arbitrary, more-than-human topologies, as well as their nested articulation, translation and negotiation within digital infrastructures. (shrink)