Harry C. Boyte. Craig Calhoun. Geoff Eley. Nancy Fraser. Nicholas Garnham. JürgenHabermas. Peter Hohendahl. Lloyd Kramer. Benjamin Lee. Thomas McCarthy. Moishe Postone. Mary P.Ryan. Michael Schudson. Michael Warner. David Zaret.

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

The commentary raises political questions about the ways in which data has been constituted as an object vested with certain powers, influence, and rationalities. We place the emergence and transformation of professional practices such as ‘data science’, ‘data journalism’, ‘data brokerage’, ‘data mining’, ‘data storage’, and ‘data analysis’ as part of the reconfiguration of a series of fields of power and knowledge in the public and private accumulation of data. Data politics asks questions about the ways in which data has (...) become such an object of power and explores how to critically intervene in its deployment as an object of knowledge. It is concerned with the conditions of possibility of data that involve things, language, and people that together create new worlds. We define ‘data politics’ as both the articulation of political questions about these worlds and the ways in which they provoke subjects to govern themselves and others by making rights claims. We contend that without understanding these conditions of possibility – of worlds, subjects and rights – it would be difficult to intervene in or shape data politics if by that it is meant the transformation of data subjects into data citizens. (shrink)

Introduction -- Repression, ignorance, and undone science -- The epistemic dimension of the political opportunity structure -- The politics of meaning: from frames to design conflicts -- The organizational forms of counterpublic knowledge -- Institutional change, industrial transitions, and regime resistance politics -- Contemporary change: liberalization and epistemic modernization -- Conclusion.

This article examines how the availability of Big Data, coupled with new data analytics, challenges established epistemologies across the sciences, social sciences and humanities, and assesses the extent to which they are engendering paradigm shifts across multiple disciplines. In particular, it critically explores new forms of empiricism that declare ‘the end of theory’, the creation of data-driven rather than knowledge-driven science, and the development of digital humanities and computational social sciences that propose radically different ways to make sense of culture, (...) history, economy and society. It is argued that: Big Data and new data analytics are disruptive innovations which are reconfiguring in many instances how research is conducted; and there is an urgent need for wider critical reflection within the academy on the epistemological implications of the unfolding data revolution, a task that has barely begun to be tackled despite the rapid changes in research practices presently taking place. After critically reviewing emerging epistemological positions, it is contended that a potentially fruitful approach would be the development of a situated, reflexive and contextually nuanced epistemology. (shrink)

This short article argues that an adequate response to the implications for governance raised by ‘Big Data’ requires much more attention to agency and reflexivity than theories of ‘algorithmic power’ have so far allowed. It develops this through two contrasting examples: the sociological study of social actors used of analytics to meet their own social ends and the study of actors’ attempts to build an economy of information more open to civic intervention than the existing one. The article concludes with (...) a consideration of the broader norms that might contextualise these empirical studies, and proposes that they can be understood in terms of the notion of voice, although the practical implementation of voice as a norm means that voice must sometimes be considered via the notion of transparency. (shrink)

This introduction to the special issue on data and agency argues that datafication should not only be understood as the process of collecting and analysing data about Internet users, but also as feeding such data back to users, enabling them to orient themselves in the world. It is important that debates about data power recognise that data is also generated, collected and analysed by alternative actors, enhancing rather than undermining the agency of the public. Developing this argument, we first make (...) clear why and how the question of agency should be central to our engagement with data. Subsequently, we discuss how this question has been operationalized in the five contributions to this special issue, which empirically open up the study of alternative forms of datafication. Building on these contributions, we conclude that as data acquire new power, it is vital to explore the space for citizen agency in relation to data structures and to examine the practices of data work, as well as the people involved in these practices. (shrink)

Technology- and product-oriented movements are mobilizations of civil society organizations that generally include alliances with private-sector firms, for which the target of social change is support for an alternative technology and/or product, as well as the policies with which they are associated. TPMs generally involve “private-sector symbiosis,” that is, a mixture of advocacy organizations/networks and private-sector firms. Case studies of nutritional therapeutics, wind energy, and open-source software are used to explore the tendency for large corporations in established industries to incorporate (...) the products and technologies advocated by the TPM. As the incorporation process proceeds, the alternative technologies undergo design transformations that make them more compatible with existing products and technological systems. As the technological/product field undergoes diversification, “object conflicts” erupt over a range of design possibilities, from those advocated by the more social movement–oriented organizations to those advocated by the established industries. (shrink)

Data activism, promoting new forms of civic and political engagement, has emerged as a response to problematic aspects of datafication that include tensions between data openness and data ownership, and asymmetries in terms of data usage and distribution. In this article, we discuss MyData, a data activism initiative originating in Finland, which aims to shape a more sustainable citizen-centric data economy by means of increasing individuals' control of their personal data. Using data gathered during long-term participant-observation in collaborative projects with (...) data activists, we explore the internal tensions of data activism by first outlining two different social imaginaries – technological and socio-critical – within MyData, and then merging them to open practical and analytical space for engaging with the socio-technical futures currently in the making. While the technological imaginary favours data infrastructures as corrective measures, the socio-critical imaginary questions the effectiveness of technological correction. Unpacking them clarifies the kinds of political and social alternatives that different social imaginaries ascribe to the notions underlying data activism, and highlights the need to consider the social structures in play. The more far-reaching goal of our exercise is to provide practical and analytical resources for critical engagement in the context of data activism. By merging technological and socio-critical imaginaries in the work of reimagining governing structures and knowledge practices alongside infrastructural arrangements, scholars can depart from the most obvious forms of critique, influence data activism practice, and formulate data ethics and data futures. (shrink)

The themes of citizenship and community are today at the center of a fierce debate as both left and right try to mobilize them for their cause. For the left such notions are crucial in all the current attempts to redefine political struggle through extending and deepening democracy. But, argue the contributors to this volume, these concepts need to be made compatible with the pluralism that marks modern democracy. Rather than reject the liberal tradition, they argue, the aim should be (...) to radicalize it. These essays set out to examine what types of “citizen” and “community” might be required by such a radical and plural democracy. From a range of disciplines and a fruitful diversity of theoretical perspectives, the contributors help us to address the following challenge: how to defend the greatest possible pluralism without destroying the very framework of the democratic political community. Despite their differences, a vision emerges from these essays which is sharply at odds both with the universalistic and rationalistic conception to be found in the work of Habermas, and with postmodern celebrations of absolute heterogeneity. For this book is an exploration of politics—of a politics where power, conflict and antagonism will always play a central role. (shrink)

In this paper I argue that there is an urgent need for more empirical research into everyday experiences of living with datafication, something that has not been prioritised in the emerging field of data studies to date. As a result of this absence, the knowledge produced within data studies is not as aligned to the aims of data activism as it might be. Data activism seeks to challenge existing, unequal data power relations and to mobilise data in order to enhance (...) social justice, yet data studies has focused primarily on identifying the former and not on imagining the latter. To build a picture of what more just conditions of datafication might look like, I argue that it is important to take account of everyday experiences of datafication, of what people themselves say would enable them to live better with data and would constitute more just data arrangements, based on their experiences. I explore two possible approaches to this endeavour, both of which suggest the need for a vocabulary of emotions in researching everyday living with data. (shrink)