Technology takes an unprecedented position in contemporary society. In particular, it has become part and parcel of governmental attempts to manufacture life in new ways. Such ideas concerning the governance of life organize around the same contention: that technology and life are, in fact, highly interconnectable. This is surprising because if one enters the sites of techno-scientific experimentation, those visions turn out to be much frailer and by no means “in place” yet. Rather, they afford or enforce constant interfacing work, (...) a particular mode of manufacturing life, rendering disparate, sturdy, and often surprisingly incompatible things available for one another. Here, we contend that both of those aspects, pervasive rationalities of interconnectability and practices of interfacing mark the cornerstones of what we call a new techno-bio-politics of life. In order to grasp the government of life under the technological condition, we must understand how both human and non-human entities are being rendered interconnectable and re-worked through practices of interfacing. We take neuro-technology and care robotics as two illustrative cases. Our analysis shows that the contemporary government of life is not primarily concerned with life itself in its biological re-constitution but rather with life as it is interfaced with and through technology. (shrink)

In science and technology studies today, there is a troubling tendency to portray actors in the biosciences as “cultural dopes” and technology as having monolithic qualities with predetermined outcomes. To remedy this analytical impasse, this article introduces the concept styles of valuation to analyze how actors struggle with valuing technology in practice. Empirically, this article examines how actors in a bioscientific laboratory struggle with valuing the properties and qualities of algorithms in a high-throughput setting and identifies the copresence of several (...) different styles. The question that the actors struggle with is what different configurations of algorithms, devices, and humans are “good bioscience,” that is, what do the actors perform as a good distribution of agency between algorithms and humans? A key finding is that algorithms, robots, and humans are valued in multiple ways in the same setting. For the actors, it is not apparent which configuration of agency and devices is more authoritative nor is it obvious which skills and functions should be redistributed to the algorithms. Thus, rather than tying algorithms to one set of values, such as “speed,” “precision,” or “automation,” this article demonstrates the broad utility of attending to the multivalence of algorithms and technology in practice. (shrink)

This article employs a cybernetic approach to explore the scope of what constitutes anthropological and ethnographic research and the potential to utilize data science techniques to broaden what constitutes ethnography. Four types of relationships anthropologists historically have tended to seek out with data science as a discipline: anthropology of data science, anthropology over data science, anthropology with data science and, the least developed of the four, anthropology by data science. I relate potential insights data scientists have cultivated on abductive, bottom-up (...) quantitative research that might be useful for anthropologists in particular and cybernetically minded thinkers in general. Grounded Nick Seaver’s concept of bastard disciplines and methodologies, an anthropology by data science relationship provides a beneficial way to ground such strategic incorporations within anthropological research and helpful food for thought for cybernetic scholars in other disciplinary contexts. (shrink)

Over the past two decades urban social life has undergone a rapid and pervasive geocoding, becoming mediated, augmented and anticipated by location-sensitive technologies and services that generate and utilise big, personal, locative data. The production of these data has prompted the development of exploratory data-driven computing experiments that seek to find ways to extract value and insight from them. These projects often start from the data, rather than from a question or theory, and try to imagine and identify their potential (...) utility. In this paper, we explore the desires and mechanics of data-driven computing experiments. We demonstrate how both locative media data and computing experiments are ‘staged’ to create new values and computing techniques, which in turn are used to try and derive possible futures that are ridden with unintended consequences. We argue that using computing experiments to imagine potential urban futures produces effects that often have little to do with creating new urban practices. Instead, these experiments promote Big Data science and the prospect that data produced for one purpose can be recast for another and act as alternative mechanisms of envisioning urban futures. (shrink)

This study explores Big Data practices at Facebook through an investigation of the role of commensuration or ‘the transformation of different qualities into a common metric’ in the structuration of analysis and interaction with a major online social media platform. It proposes a conceptual framework and demonstrates the empirical potential of a pragmatic approach based on reading published materials and available documentation. Facebook’s Data Warehousing and Analytics Infrastructure serves as an illustrative example to begin tracing out and describe data assemblages (...) in more detail. In being attentive to the motivations, drivers and challenges engineers face when dealing with Big Data, it is argued that their solutions can enable and support but also constrain specific analytical and transactional capabilities or data flows between various devices and actors. The analysis thus moves beyond methodological critiques of the utility of Big Data that lack empirical support and specificity. It is further argued that analytics not just describe but also actively participate in the enactment of social worlds, thereby opening possibilities for new markets or market segments to arise. Online sociality accounts for a model of the social that makes it visible and measurable qua markets inviting data recontextualisation and the creation of value along multiple axes. Contra Facebook’s claim to make the web more ‘social’, an investigation of commensuration brings to the fore the question how the social is accounted for in the first place. (shrink)