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Mathematics is often treated as different from other disciplines, since arguments in the field rely on deductive proof rather than empirical evidence as in the natural sciences. A mathematical paper can therefore, at least in principle, be replicated simply by reading it. While this distinction is sometimes taken as the basis to claim that the results in mathematics are therefore certain, mathematicians themselves know that the published literature contains many mistakes. Reading a proof is not easy, and checking whether an argument constitutes a proof is surprisingly difficult. This article uses peer review of submissions to mathematics journals as a site where referees are explicitly concerned with checking whether a paper is correct and therefore could be published. Drawing on 95 qualitative interviews with mathematics journal editors, as well as a collection of more than 100 referee reports and other correspondence from peer review processes, this article establishes that while mathematicians acknowledge that peer review does not guarantee correctness, they still value it. For mathematicians, peer review 'adds a bit of certainty', especially in contrast to papers only submitted to preprint servers such as arXiv. Furthermore, during peer review there can be disagreements not just regarding the importance of a result, but also whether a particular argument constitutes a proof or not (in particular, whether there are substantial gaps in the proof). Finally, the mathematical community is seen as important when it comes to accepting arguments as proofs and assigning certainty to results. Publishing an argument in a peer-reviewed journal is often only the first step in having a result accepted. Results get accepted if they stand the test of time and are used by other mathematicians. [ABSTRACT FROM AUTHOR]

Marked by the killing of a senior ICT professional working for the Electoral Commission and the invalidation of the presidential election by the Supreme Court, the 2017 Kenyan elections make for a good case through which to study how digital technologies shape contemporary electoral practice. This article examines the practice of electoral transparency through technology and argues that it can be conceived as a socio-technical device based both on distancing people from knowledge of the electoral infrastructure and on staging a simplified discourse on public access to the electoral infrastructure. Drawing on interviews with key actors in election technology implementation and ethnographic observations of public events around it, the article argues that digital technology has had three sets of implications for elections. First, it has shaped the electoral infrastructure and the nature of the final result (now a paper and digital hybrid). Second, it has shaped the distribution of knowledge among electoral professionals, giving a central role to ICT actors, objects, and knowledge in the definition of electoral transparency. Third, the centrality of ICTs in elections and the order of knowledge they bring are highly controversial and criticized by other electoral actors who demand for material proof for understanding the inner workings of elections. [ABSTRACT FROM AUTHOR]

Certain fields of research are deeply shaped by their proximity with policy-makers and administrations. The so-called 'regulatory sciences' and their corresponding expert communities emerge from this intermediary space between science and policy. Social studies of expertise and scientific experts show, however, that modes of engagement with policy-making vary greatly from one scientist to another. Two scientists that are part of the same research group or laboratory may engage the policy realm differently. How then does the social organization of research influence scientists' participation in scientific advice and the production of regulatory sciences? The paper looks at toxicology, a field in which knowledge production is centrally motivated by risk assessment, but one that has also seen the emergence of different knowledge-making motives, including advancement of fundamental knowledge and frontier research. A toxicology laboratory may thus harbor a diversity of moral economies of scientific advice. The paper argues that scientists' engagements with policy, through scientific advice and regulatory risk assessment, create organizational tensions and force changes to the standard, team-based social organization of research work. [ABSTRACT FROM AUTHOR]

This paper investigates the role of the materiality of computation in two domains: blockchain technologies and artificial intelligence (AI). Although historically designed as parallel computing accelerators for image rendering and videogames, graphics processing units (GPUs) have been instrumental in the explosion of both cryptoasset mining and machine learning models. The political economy associated with video games and Bitcoin and Ethereum mining provided a staggering growth in performance and energy efficiency and this, in turn, fostered a change in the epistemological understanding of AI: from rules-based or symbolic AI towards the matrix multiplications underpinning connectionism, machine learning and neural nets. Combining a material political economy of markets with a material epistemology of science, the article shows that there is no clear-cut division between software and hardware, between instructions and tools, and between frameworks of thought and the material and economic conditions of possibility of thought itself. As the microchip shortage and the growing geopolitical relevance of the hardware and semiconductor supply chain come to the fore, the paper invites social scientists to engage more closely with the materialities and hardware architectures of 'virtual' algorithms and software. [ABSTRACT FROM AUTHOR]

How is objectivity accomplished in laboratory economic experiments? To address this question, this paper focuses on a modest and mundane thing: the written instructions that guide experimental subjects in the lab. In a material-semiotic perspective, these instructions can be understood as text-devices. We follow text-devices 'on the move' from their very writing, through the lab, the review process and out into the journal article. To do so, we analyse 'text-author ensembles', which are journal articles together with practice-oriented interviews with their authors. We show that instructions act not simply as texts, but as experimental instruments that also perform the procedure of experimental economics. They draw together the procedural, material and rhetorical dimensions of experimental work in economics, and link the lab setting to collective validation procedures within the discipline of economics. To achieve this, experimental economists rely on qualitative writing skills refined in collective writing and reviewing practices. These text-devices 'on the move' alert us not only to the role of writing and writing skills in the production of scientific knowledge, but to the role of texts as material and semiotic objects that can produce facts as well as labs and disciplines, and that are key to the accomplishment of objectivity in experimental economics. [ABSTRACT FROM AUTHOR]

The discovery of high-temperature superconductivity (HTS) was a momentous event. This article explores the social and institutional history of HTS research in China between 1987 and 2008. Desire for a Nobel Prize shaped the Chinese state's initial push to establish the National Superconductivity Research Program. Yet, after the enthusiasm for HTS research cooled, and even after a Nobel Prize for HTS was awarded to non-Chinese scientists, financial and institutional support for the research continued. This process fostered the 'to live' ethos of science, which has replaced the Nobel Prize dream as a central mechanism of interaction between the state and science in China. Indeed, Chinese HTS research not only survived, but also produced an abundance of 'normal science' discoveries. This pattern continued after 2008, when Japanese scientists made the groundbreaking innovation of iron-based superconductivity and Chinese scientists quickly turned their attention to this sub-field. They published many papers pushing the field forward slightly, rather than making the largest scientific advances. The mutual interaction between the state and scientists underpinned this phenomenon: On the one hand, the productivity of normal science has helped to maintain state legitimacy. On the other hand, the evaluation and incentive systems, as well as deep-rooted cultural features such as officialism, utilitarianism, and the foregrounding of politics lead scientists to opportunistically pursue normal science. The state and scientists have co-produced a regime of normal science. [ABSTRACT FROM AUTHOR]

While transnational research infrastructure projects long preceded the formal integration process that created the European Union, their advancement is an increasingly central part of EU research policy and of European integration in general. This paper analyses the Biobanking and Biomolecular Resources Research Infrastructure–European Research Infrastructure Consortium (BBMRI–ERIC) as a recent example of institutionalized scientific collaboration in Europe that has formally been established as part of EU science policy. BBMRI–ERIC, a network of European biobanks, is expected to contribute to both European science and European integration. Yet its achievements in these domains are interpreted differently by various actors involved. This paper draws on STS conceptualizations of infrastructures as relational, experimental, and promissory assemblages. These support the formulation of a working definition of research infrastructures that in turn helps to explore the heterogeneous meanings attributed to BBMRI–ERIC. The paper describes the creation of this distributed European research infrastructure, and divergent understandings of what it means for BBMRI–ERIC to be distributed, to be European and to be a research infrastructure. This analysis demonstrates how building a research infrastructure is also an effort to define what it means to be European—a process in which what is European about science and what science can do for Europe is continuously (re-)imagined, contested and negotiated. [ABSTRACT FROM AUTHOR]

In genomics, the clinical application of Next Generation Sequencing technologies (such as Whole Genome or Exome Sequencing) has attracted considerable attention from UK policymakers, interested in the benefits such technologies could bring the National Health Service. However, this boosterism plays little attention to the challenges raised by a kind of result known as a Variant of Uncertain Significance, or VUS, which require clinical geneticists and related colleagues to classify ambiguous genomic variants as 'benign' or 'pathogenic'. With a rigorous analysis based on data gathered at 290 clinical meetings over a two-year period, this paper presents the first ethnographic account of decision-making around NGS technology in a NHS clinical genomics service, broadening our understanding of the role formal criteria play in the classification of VUS. Drawing on Stefan Timmermans' concept of 'reflexive standardisation' to explore the way in which clinical genetics staff classify such variants this paper explores the application of a set of criteria drafted by the American College of Medical Genetics and Genomics, highlighting the flexible way in which various resources – variant databases, computer programmes, the research literature – are drawn on to reach a decision. A crucial insight is how professionals' perception of, and trust in, the clinical practice at other genomics centres in the NHS, shapes their own application of criteria and the classification of a VUS as either benign or pathogenic. [ABSTRACT FROM AUTHOR]

This article examines the ties between an internationalised science and transnational activism, in particular for causes considered universal, such as defending human rights, during the late Cold War. It focuses on a scientific network that supported mathematicians persecuted for their political views by both left- and right-wing undemocratic regimes. The Committee of Mathematicians was founded in 1974 and was active for a decade, built incrementally as a transnational advocacy network located in several Western countries. Focussing primarily on the Committee's French component, this article investigates the social and organisational underpinnings of its transnational action and defence of universal principles. It examines the modes of action and how they were shaped by scientists' professional and even disciplinary affiliations. These focal points allow an interrogation of the place the committee occupied within the space of human rights activism. The article aims to contribute to a historical sociology of the ties between science and politics and of the transnational trends that strained national frameworks, while moving away from an approach focussed solely on political macrotrends that fuelled the Cold War. [ABSTRACT FROM AUTHOR]

Seeds and other plant materials in seed and gene bank collections are rarely considered adequately conserved today unless genetically identical duplicate samples have been created and safely stored elsewhere. This paper explores the history of seed banking to understand how, why and with what consequences copying collections came to occupy this central place. It highlights a shift in the guiding metaphor for long-term preservation of seed collections, from banking to backup. To understand the causes and consequences of this shift in metaphor, the paper traces the intertwined histories of the central long-term seed storage facility of the United States (opened in 1958) and the international seed conservation system into which that facility was integrated in the 1970s. This account reveals how changing conceptions of security, linked to changing economic, political and technological circumstances, transformed both the guiding metaphors and the practices of seed conservation in these institutions. Early instantiations of long-term cold storage facilities vested security in robust infrastructures and the capacities of professional staff; between the 1960s and 1990s, this configuration gave way to one in which security was situated in copies rather than capacities. This observation ultimately raises questions about the security promised and achieved through present-day infrastructures for crop genetic resources conservation. [ABSTRACT FROM AUTHOR]

In Mandarin, the English word 'nature' translates as ' ziran ' (自然zìrán) in science, biomedicine and everyday life. At the same time, ziran indexes a second older set of meanings that make little immediate sense in English. Current in many Chinese medical practices as well as in classical Chinese philosophy, these include 'what is spontaneously so' or 'let the character of the self unfold'. In this article we explore how these two families of meaning are related by particular Taiwanese Chinese medical practitioners as they describe how they negotiate the relations between biomedicine and Chinese medicine in daily professional practice. At the same time, inspired by related logic-shifting writing in anthropology, postcolonial studies and postcolonial STS, we draw on the 'art of patterning' (辨證 biàn zhèng) to understand how ziran-nature relations are specified in those accounts. Patterning is the art of specifying the shifting arrangements and misalignments that lead to ill health. Treating this as a way of thinking about ziran-related overlaps between biomedicine and Chinese medicine, we show that patterning attends not to objects 'out there' but to appearances (象xiang, xiàng). Put into use as an STS term of art it therefore shifts the epistemological basis of inquiry because case-stories no longer reveal underlying mechanisms, but instead narrate patterned appearances. One implication of this is that any particular pattern diagnosis lies alongside a galaxy of alternatives that might be equally good to think with. Within the limits set by referential academic conventions, we thus attempt a postcolonial shi (勢)-inflected STS in this paper by resisting the use of a single analytical framework, instead setting different forms of patterning alongside one another. [ABSTRACT FROM AUTHOR]

This article explores a case of mistrust in global health research and community engagement. It uses ethnographic material collected in 2014 and 2016 in Kenya, concerning community engagement by a HIV vaccine research group working with men who have sex with men and transgender women. In 2010, the research group was attacked by members of the wider community. Following the attack, the research group set up an engagement program to reduce mistrust and re-build relationships. Analysis focusing on mistrust shows the dynamics underlying the conflict: Norms around gender and sexuality, political support for LGBTIQ+ rights, and resources disparities were all at stake for those embroiled in the conflict, including researchers, study participants, religious leaders, and LGBTIQ+ activists in the region. Rather than a normative good with liberatory potential, community engagement in this paper is discussed as a relational tool with which mistrust was managed, highlighting the fragility of participation. [ABSTRACT FROM AUTHOR]

A fixation on 'scaling up' has captured current innovation discourses and, with it, political and economic life at large. Perhaps most visible in the rise of platform technologies, big data and concerns about a new era of monopolies, scalability thinking has also permeated public policy in the search for solutions to 'grand societal challenges', 'mission-oriented innovation' or transformations through experimental 'living labs'. In this paper, we explore this scalability zeitgeist as a key ordering logic of current initiatives in innovation and public policy. We are interested in how the explicit preoccupation with scalability reconfigures political and economic power by invading problem diagnoses and normative understandings of how society and social change function. The paper explores three empirical sites – platform technologies, living labs and experimental development economics – to analyze how scalability thinking is rationalized and operationalized. We suggest that social analysis of science and technology needs to come to terms with the 'politics of scaling' as a powerful corollary of the 'politics of technology', lest we accept the permanent absence from key sites where decisions about the future are made. We focus in on three constitutive elements of the politics of scaling: solutionism, experimentalism and future-oriented valuation. Our analysis seeks to expand our vocabulary for understanding and questioning current modes of innovation that increasingly value scaling as an end in itself, and to open up new spaces for alternative trajectories of social transformation. [ABSTRACT FROM AUTHOR]

Scheduled meetings are associated with standardization and understood as a bureaucratic form of coordination, control, and rule observation. In attending assemblies of a research team in optical physics for over a year, we found regular lab meetings are compulsory for all their members and are an avenue to announce and give information about new and changed institutional regulations, to supervise members' activities and their output. But more importantly, they offer an environment for continuous thinking through talk that goes beyond announcements. Meetings are a protected space to comment on conducted research, to amend experimental set-ups, to test argumentation, and to outline potentially new directions of research. By participating in these practices, researchers, become members of the team as they get acquainted with the ongoing research; its scope, problems, and limits; the solutions at hand; and the know-how within the team. In functional terms, observed internal meetings seem to (a) ensure that the research team focuses on a specific research agenda by talking about and discussing ongoing research in the lab, (b) be used to discuss and assure the quality of the team's research output, and (c) generate and inspire new research within the team. Our findings suggest regular internal meetings, like shop talk, are constitutive of doing science by talking about ongoing research. [ABSTRACT FROM AUTHOR]

International development institutions, governments, and social entrepreneurs have become increasingly enthusiastic about 'inclusive innovation' which, to solve problems in low- and middle-income countries, focuses on the development of technologies for and by the poor. Inclusive innovation differs from previous development efforts by focusing on devices instead of infrastructure, claiming to be based on scientific evidence, and relying on market logics to achieve humanitarian ends. Proponents argue that, informed by grassroots efforts, these interventions have enormous potential to catalyze economic, social, and political change. How are the market and technological imperatives of inclusive innovation shaping the international development agenda? What do inclusion and innovation mean in this context? What can inclusive innovation tell us about the proliferation of initiatives that promote technology for public good, from responsible innovation to public interest technology? This article examines these questions through a case study of menstrual hygiene management (MHM) innovation in India. Rather than providing solutions to self-evident development problems, inclusive innovation shapes both development problems and solutions simultaneously, in areas where scientific and market ways of knowing converge. These ways of knowing claim to be legitimate because they are rooted in local knowledge and expertise. MHM in India became a problem, and low-cost disposable sanitary pads an inclusive innovative solution, because of the involvement of Indian researchers and innovators, and Indian girls and women as consumers and producers. However, in the process they reinforced narrow understandings of both inclusion and innovation in international development. Inclusion efforts may be wrapped up in political economies that shape and limit their transformational power by prioritizing scientific, technical, and market expertise. [ABSTRACT FROM AUTHOR]

This paper focuses on how particularities are performed and made to travel through the creation of trust. The Swedish Species Observation System (Artportalen) is one of the largest inscription and calculation centers for citizen data in the world, used extensively by public authorities in Sweden. Observations by members of the public become actionable through environmental governance laws in Sweden. These observations are made through networks of things and humans in which trust is created but unevenly distributed. Important for them to be trusted and to travel are such things as computer software to filter and map observations, red lists, GIS-tools to determine time and place, and validation committees. However, trust is more concentrated in a core set of actors, and there depends on interpersonal relations – though these relations are facilitated by other parts of the epistemic system. [ABSTRACT FROM AUTHOR]

We study efforts at promoting deliberative mini-publics as a model of democracy. Our focus is on practices supporting the circulation of know-how for doing mini-publics. In this paper we center on the building of infrastructures for knowledge exchange in and around a network known as Democracy R&D. This is a network of mini-publics practitioners from around the world with the declared goal of adding momentum to democratic innovation by enhancing translocal connections, community building, and knowledge. We look at how the network is organized, how online communication platforms are installed, and how observatory devices draw dispersed practices together into a shared frame of mutual learning and collective action. How do such practices configure the ways in which knowledge can flow across sites? How do they constitute an instrument space, a translocal assemblage of knowing and doing democracy by means of deliberative mini-publics? Using concepts like scopic media and centers of calculation, we discuss these practices for how they enable and constrain the circulation of know-how, configure processes of mutual learning, shape the translocal innovation process, and thus, at a distance, also prefigure local ways of knowing and doing politics. [ABSTRACT FROM AUTHOR]

The U.S. Food and Drug Administration's (FDA) 2013 decision to lower recommended Ambien dosing for women has been widely cited as a hallmark example of the importance of sex differences in biomedicine. Using regulatory documents, scientific publications, and media coverage, this article analyzes the making of this highly influential and mobile 'sex-difference fact'. As we show, the FDA's decision was a contingent outcome of the drug approval process. Attending to how a contested sex-difference fact came to anchor elite women's health advocacy, this article excavates the role of regulatory processes, advocacy groups, and the media in producing perceptions of scientific agreement while foreclosing ongoing debate, ultimately enabling the stabilization of a binary, biological sex-difference fact and the distancing of this fact from its conditions of construction. [ABSTRACT FROM AUTHOR]

The Research Excellence Framework (REF) is a UK policy tool for distributing government funding and an important indicator of the academic status of a UK university. The legitimacy of the policy comes from peers' consensus on what academic quality is. We are interested in how the REF enables this funding distribution by determining the academic quality of a broad array of different forms of research through a single peer-review process. As they search for academic quality that is contingent to a specific epistemology and requires more time than the REF allows, how do academics agree to agree, and within constraints of a given timeframe? Interviews with REF panellists and their accounts of the process lead us to suggest that the consensus is enacted by setting up a situation: the mechanics of the REF with its practices of benchmarking, scoring, calibrating, and normalizing. This situation sets the boundaries of reviewing and, in doing so, propels peers to shift from assessment contingent on epistemic commitments to evaluation on a single scale. We argue that this shift renders academic quality distinct from scientific or epistemic quality. [ABSTRACT FROM AUTHOR]

The 2012 Menlo Report was an effort in which a group of computer scientists, US government funders, and lawyers produced ethics guidelines for research in information and communications technology (ICT). Here we study Menlo as a case of what we call ethics governance in the making, finding that this process examines past controversies and enrols existing networks to connect the everyday practice of ethics with ethics as a form of governance. To create the Menlo Report, authors and funders relied on bricolage work with existing, available resources, which significantly shaped both the report's contents and impacts. Report authors were motivated by both forward- and backward-looking goals: enabling new data-sharing as well as addressing past controversies and their implications for the field's body of research. Authors also grappled with uncertainty about which ethical frameworks were appropriate and made the decision to classify much network data as human subjects data. Finally, the Menlo Report authors attempted to enrol multiple existing networks in governance through appeals to local research communities as well as taking steps towards federal rulemaking. The Menlo Report serves as a case study in how to study ethics governance in the making: with attention to resources, adaptation, and bricolage, and with a focus on both the uncertainties the process tries to repair, as well as the new uncertainties the process uncovers, which will become the site of future ethics work. [ABSTRACT FROM AUTHOR]

Since the 1970s social analysts have seen communication between scientists not solely as information exchange (the algorithmical model), but as a process of socialization into overlapping and mutually embedded scientific domains (the enculturational model). Under the algorithmical model, the impact of the Covid-19 shutdown on travel would be easily remedied by replacing face-to-face communication with online platforms. Conferences and similar gatherings are costly, elitist, and environmentally damaging, but under the enculturational model abandoning them could be disastrous for science, which depends on the development of cross-national trust and mutual agreements through face-to-face interaction and, in turn, disastrous for science's role in democracy. We explore the problem theoretically and empirically, arguing against recent proposals from some scientists for the wholesale and permanent replacement of conferences with remote communication. [ABSTRACT FROM AUTHOR]

This paper explores how professional engineers recognize and make sense of product defects in their everyday work. Such activities form a crucial, if often overlooked, part of professional engineering practice. By detecting, recognizing and repairing defects, engineers contribute to the creation of value and the optimization of production processes. Focusing on early-career engineers in an advanced steel mill in the United States, we demonstrate how learning specific ways of seeing and attending to defects take shape around the increasing automation of certain aspects of engineering work. Practices of sensing defects are embodied, necessitating disciplined eyes, ears, and hands, but they are also distributed across human and non-human actors. We argue that such an approach to technical work provides texture to the stark opposition between human and machine work that has emerged in debates around automation. Our approach to sensing defects suggests that such an opposition, with its focus on job loss or retention, misses the more nuanced ways in which humans and machines are conjoined in perceptual tasks. The effects of automation should be understood through such shifting configurations and the ways that they variously incorporate the perceptual practices of humans and machines. [ABSTRACT FROM AUTHOR]

In this article, we study the development of the STS journal article format since the 1980s. Our analysis is based on quantitative data that suggest that the diversity of various journal publication types has diminished over the past four decades, while the format of research articles has become increasingly typified. We contextualize these historical shifts in qualitative terms, drawing on a set of 76 interviews with STS scholars and other stakeholders in scholarly publishing. Here, we first portray the STS publication culture of the 1980s and early 1990s. We then contrast this with an analysis of publishing practices today, which are characterized by a much more structured research process that is largely organized around the production of typified journal articles. Whereas earlier studies have often emphasized the importance of rhetorical persuasion strategies as drivers in the development of scholarly communication formats, our analysis highlights a complementary and historically novel set of shaping factors, namely, increasingly quantified research (self-)assessment practices in the context of a projectification of academic life. We argue that reliance on a highly structured publication format is a distinct strategy for making STS scholarship 'doable' in the sense of facilitating the planning ability and daily conduct of research across a variety of levels – including the writing process, collaboration with peers, attracting funding, and interaction with journals. We conclude by reflecting on the advantages and downsides of the typification of journal articles for STS. [ABSTRACT FROM AUTHOR]

Data are versatile objects that can travel across contexts. While data's travels have been widely discussed, little attention has been paid to the sites from where and to which data flow. Drawing upon ethnographic fieldwork in two connected data-intensive laboratories and the concept of domestication, we explore what it takes to bring data 'home' into the laboratory. As data come and dwell in the home, they are made to follow rituals, and as a result, data are reshaped and form ties with the laboratory and its practitioners. We identify four main ways of domesticating data. First, through storytelling about the data's origins, data practitioners draw the boundaries of their laboratory. Second, through standardization, staff transform samples into digital data that can travel well while ruling what data can be let into the home. Third, through formatting, data practitioners become familiar with their data and at the same time imprint the data, thus making them belong to their home. Finally, through cultivation, staff turn data into a resource for knowledge production. Through the lens of domestication, we see the data economy as a collection of homes connected by flows, and it is because data are tamed and attached to homes that they become valuable knowledge tools. Such domestication practices also have broad implications for staff, who in the process of 'homing' data, come to belong to the laboratory. To conclude, we reflect on what these domestication processes—which silence unusual behaviours in the data—mean for the knowledge produced in data-intensive research. [ABSTRACT FROM AUTHOR]

Health policies and the problems they constitute are deeply shaped by multiple publics. In this article we conceptualize health policy counterpublics : temporally bounded socio-political forms that aim to cultivate particular modes of conduct, generally to resist trajectories set by arms of the state. These counterpublics often emerge from existing social movements and involve varied forms of activism and advocacy. We examine a health policy counterpublic that has arisen in response to new forms of HIV public health surveillance by drawing on public documents and interview data from 2021 with 26 stakeholders who were critical of key policy developments. Since 2018, the national rollout of molecular HIV surveillance (MHS) and cluster detection and response (CDR) programs in the United States has produced sustained controversies among HIV stakeholders, including among organized networks of people living with HIV. This article focuses on how a health policy counterpublic formed around MHS/CDR and how constituents problematized the policy agenda set in motion by federal health agencies, including in relation to data ethics, the meaningful involvement of affected communities, informed consent, the digitization of health systems, and HIV criminalization. Although familiar problems in HIV policymaking, concerns about these issues have been reconfigured in response to the new sociotechnical milieu proffered by MHS/CDR, generating new critical positions aiming to remake public health. Critical attention to the scenes within which health policy controversies play out ought to consider how (counter)publics are made, how problems are constituted, and the broader social movement dynamics and activist resources drawn upon to contest and reimagine policymaking in public life. [ABSTRACT FROM AUTHOR]

If an apparently extinct bird calls in a forest, and there are people there to hear it—to record it, even—is it still extinct? The Ivory-billed Woodpecker was last 'officially' seen in the United States in 1944, but its extinction continues to be a subject of intense debate between conservation authorities, scientists, and grassroots activists. Tensions peaked around 2005, when scientists from the Cornell Laboratory of Ornithology announced their rediscovery of the species. However, their evidence received significant challenge from other ornithologists, and this apparent rediscovery has since been generally dismissed. In 2021, the United States Fish and Wildlife Service recommended the ivorybill be declared officially extinct. Still, many people continue to trawl the Southeastern forests in search of ivorybills. In this article, I investigate the methods, debates, and results of efforts to locate this species, with a focus on sound. In doing so, I explore the interconnected roles of sound and space in the making of extinction knowledge. Sonic search methods of listening, sounding, and translating are core ways that searchers attempt to attune to, communicate with, and establish evidence of ivorybills. Additionally, sonic search practices are critical spaces of negotiation and contestation between different searchers, between searchers and ivorybills, and between searchers and skeptics. Ultimately, this article argues that sonic geographies affect the production of extinction knowledge, and vice versa—extinction knowledge making practices produce distinct sonic geographies. [ABSTRACT FROM AUTHOR]

This article explores how innovation logics infiltrate problem and value definitions in maintenance and repair, and how innovation itself depends on considerable, often invisible care work beyond the seemingly smooth entrepreneurial narratives. We build on a growing body of work in STS that investigates the relationship between innovation and maintenance and repair. This literature argues that the obsession with innovation crowds out attention to maintenance, that innovation creates future obligations of maintenance that are often not factored into technological promises, and that ordinary maintenance and repair practices are often innovative in their own right. Empirically, we explore a case where maintenance and repair become the explicit target of high-level, high-tech innovation initiatives and how, as a result, innovation logics colonize maintenance practices. Conceptually, we explore how repair and maintenance sensitivities can be applied to innovation practices to reveal the invisible work needed to align innovation instruments with socio-material and institutional configurations. Drawing on an in-depth case study of sewer inspection robots in Barcelona, we find that attempts to innovate maintenance require a symmetric effort to maintain innovation. In our case study, innovation processes as deployed by the European Commission, research consortia, and companies required substantial repair work to function reliably in specific settings. Our study shows how divergent understandings of the public good in innovation and maintenance contexts may lead to significant tensions, and that much can be gained analytically from not treating innovation and maintenance as opposites. [ABSTRACT FROM AUTHOR]

This article analyses how a recent idiom of innovation governance, 'responsible innovation', is enacted in practice, how this shapes innovation processes, and what aspects of innovation are left untouched. Within this idiom, funders typically focus on one point in an innovation system: researchers in projects. However, the more transformational aspirations of responsible innovation are circumscribed by this context. Adopting a mode of critique that assembles, this article considers some alternative approaches to governing the shared trajectories of science, technology, and society. Using the idea of institutional invention to focus innovation governance on four inflection points—agendas, calls, spaces, evaluation—would allow funding organizations and researchers to look 'beyond the project', developing new methods to unpack and reflect on assumed purposes of science, technology, and innovation, and to potentially reconfigure the institutions that condition scientific practice. [ABSTRACT FROM AUTHOR]

As anthropogenic climate change threatens human existence on Earth, historians have begun to explore the scientific antecedents of environmental Malthusianism, the idea that human population growth is a major driver of ecosystem degradation and that environmental protection requires a reduction in human numbers. These accounts, however, neglect the antagonistic relationship between environmental Malthusianism and demography, thereby creating an illusion of scientific consensus. This article details the entwined histories of environmental Malthusianism and demography, revealing points of disagreement – initially over methods of analyzing and predicting population growth and later over the role of population growth in ecosystem degradation – and moments of strategic collaboration that benefited both groups of scientists. It contends that the image of scientific consensus in existing histories has lent support to ongoing calls for population control, detracting attention from more proximate causes of environmental devastation, such as polluting modes of production, extractive business practices and government subsidies for fossil fuel development. [ABSTRACT FROM AUTHOR]

In 1976, two researchers declared a revolution in cryptography: With the invention of public key encryption, cryptography could be used not only to share secret messages, but to secure and authenticate communications networks, and, eventually, to enable radically new kinds of social relationships facilitated by networked communication technology. This article explores a series of transformations in the meaning of cryptography in the 1960s and 1970s that led to the declaration of a revolution. Drawing on archival materials, the article considers how public key cryptography was the product of an emerging consensus among cryptographers of the importance of privacy in the wake of abuses of surveillance powers by government agencies. Shaped by a changing technological and political environment, it situates cryptography at the center of a focused effort to assert control over information in an era of sociopolitical upheaval, concluding that the invention of public key encryption both marked a change in the imaginary surrounding cryptography and offered a technical solution that foreclosed other approaches to addressing the problem of surveillance. [ABSTRACT FROM AUTHOR]

In this article, we analyze the National Cancer Institute's Virus Cancer Programs (1964–1978). The NCI's organizational mandate established program goals that iteratively braided together both scientific research and public health outcomes. The distinctive environment of the NCI as a federal research institute made scientific programs accountable to evaluations of both experimental and administrative appropriateness. To this end, NCI scientist-administrators adopted management techniques drawn from the Cold War defense industry to direct open-ended exploratory research on virally induced cancers, aimed at developing a vaccine as a public health solution to cancer. Facing the limitations of the state of viral cancer research as simultaneously an administrative and experimental problem, the Programs launched a monumental effort to develop infrastructure for cancer virus studies through long-term planning initiatives utilizing defense-style networks of contracted academic laboratories throughout the US. The organizational mandate guiding the Programs contributed to conceptual and experimental changes that directly led to the subversion of its fundamental presupposition of viral causation in favor of the cellular oncogene theory. We thus propose a reinterpretation of the historiography of the oncogene hypothesis as a radical break from viral explanations of cancer etiology, a reinterpretation that re-centers the direct contributions this federal vaccine program made to current molecular biological explanations of cancer causation. [ABSTRACT FROM AUTHOR]

In the early 2010s, a spectacular fall in prices for a class of mineral commodities called the rare earth elements (REEs) and the collapse of hundreds of new exploration companies made clear the fragility of the high-risk markets around these companies and the strategies of legitimation that supported them. New regulatory processes built around technical disclosures generated vast stores of geotechnical data. Rather than generating trust among market actors, however, these processes dramatically altered the temporalities of global extraction and energized unruly narrative spaces. In their efforts to keep mineral claims active and companies afloat, REE-focused exploration experts have struggled to navigate different arenas of discussion while holding their respective logics in tension. Drawing on ethnographic fieldwork with exploration geologists and promoters, this article examines how experts federate flows of 'serious' and 'speculative' information in both carefully regulated reports and rumor-filled online forums. Such spaces are organized by aesthetic conventions and social criteria for establishing persuasiveness—forms that STS scholars have long analyzed as literary technologies. Rather than helping to secure experts' authority, however, I argue that the diverse literary technologies that now dominate exploration promotion and finance work have radically redistributed interpretive roles. In their struggles to mediate senses of 'crisis' endemic within venture markets, exploration experts must enact the ideals undergirding new regulatory requirements even as they learn to defer to the speculative musings of others. [ABSTRACT FROM AUTHOR]

Stakeholder engagement has become a watchword for environmental scientists to assert the societal relevance of their projects to funding agencies. In water research based on computer simulation modelling, stakeholder engagement has attracted interest as a means to overcome low uptake of new tools for water management. An increasingly accepted view is that more and better stakeholder involvement in research projects will lead to increased adoption of the modelling tools created by scientists in water management. However, we cast doubt on this view by drawing attention to how the freedom of stakeholder organizations to adopt new scientific modelling tools in their regular practices is circumscribed by the societal context. We use a modified concept of co-production in an analysis of a case of scientific research on drought in the UK to show how relationships between actors in the drought governance space influence the uptake of scientific modelling tools. The analysis suggests an explanation of why stakeholder engagement with one scientific project led to one output (data) getting adopted by stakeholders while another output (modelling tools) attracted no discernible interest. Our main objective is to improve the understanding of the limitations to stakeholder engagement as a means of increasing societal uptake of scientific research outputs. [ABSTRACT FROM AUTHOR]

Calling attention to the growing intersection between the insurance and technology sectors—or 'insurtech'—this article is intended as a bat signal for the interdisciplinary fields that have spent recent decades studying the explosion of digitization, datafication, smartification, automation, and so on. Many of the dynamics that attract people to researching technology are exemplified, often in exaggerated ways, by emerging applications in insurance, an industry that has broad material effects. Based on in-depth mixed-methods research into insurance technology, I have identified a set of interlocking logics that underly this regime of actuarial governance in society: ubiquitous intermediation, continuous interaction, total integration, hyper-personalization, actuarial discrimination, and dynamic reaction. Together these logics describe how enduring ambitions and existing capabilities are motivating the future of how insurers engage with customers, data, time, and value. This article surveys each logic, laying out a techno-political framework for how to orient critical analysis of developments in insurtech and where to direct future research on this growing industry. Ultimately, my goal is to advance our understanding how insurance—a powerful institution that is fundamental to the operations of modern society—continues to change, and what dynamics and imperatives, whose desires and interests are steering that change. The stuff of insurance is far too important to be left to the insurance industry. [ABSTRACT FROM AUTHOR]

We can learn most about how science funding works when it stops working. Like moments of breakdown surfacing the inner workings of infrastructure, periodic fiscal crises reveal the social life of science funds at the level of everyday practice. Through a case study of NASA-funded planetary science in an era of austerity, the article explores how scientists navigate uncertain funding environments and articulate financially defensible projects. Examining the development of the Mariner 10 mission to Venus and Mercury in the aftermath of a significant downturn in science support, the article offers a middle path between the macro-politics of government funding and the micro-politics of doing science. In shaping how the mission was conceived and later operated, Mariner 10's cost-driven paradigm translated the austerity of the period into the projectized work of robotic spaceflight missions. [ABSTRACT FROM AUTHOR]

This article pursues a translational approach to the securitization of migration. It argues that sociotechnical processes of identification at the border can be conceived of as translations into legible identities of individuals who are unknown to authorities. The article contributes to the materiality debate on securitization across Critical Security Studies (CSS) and Science and Technology Studies (STS) by answering the call to conduct empirical explorations of security, and by revisiting the potential of the early sociology of translation (i.e. actor-network theory) to account for the identification of border crossers. Data collection was conducted at four identification facilities in the Hellenic Republic. Three sets of implications for the CSS-STS debate on the materiality of securitization are discussed. First, a translational approach can replace a representational understanding of identity with a performative apprehension of identification. Second, adopting a translational approach leads to acknowledge that the identification encounter is mediated by multiple, heterogeneous actors. It thus helps to open technological black boxes and reveal the key role of material qualities, affordances and limitations of artefacts. Third, a translational approach to the securitization of migration can help advance the field of 'alterity processing' by appreciating the de facto re-arrangements of institutional orders elicited by techno-political alignments with global security regimes. [ABSTRACT FROM AUTHOR]

The article explores technology-human relations in a time of artificial intelligence (AI) and in the context of long-standing problems in social theory about agency, nonhumans, and autonomy. Most theorizations of AI are grounded in dualistic thinking and traditional views of technology, oversimplifying real-world settings. This article works to unfold modes of existence at play in AI/human relations. Materials from ethnographic fieldwork are used to highlight the significance of autonomy in AI/human relations. The analysis suggests that the idea of autonomy is a double-edged sword, showing that humans not only coordinate their perception of autonomy but also switch between registers by sometimes ascribing certain autonomous features to the AI system and in other situations denying the system such features. As a result, AI/human relations prove to be not so much determined by any ostensive delegation of tasks as by the way in which AI and humans engage with each other in practice. The article suggests a theory of relationality that redirects focus away from questions of agency towards questions of what it means to be in relations. [ABSTRACT FROM AUTHOR]

As a nascent field within the academy, the contours, attributes, and bounties of data science are still indeterminate and contested. We studied how participants in an initiative to establish data science at a large American research university defined data science and articulated their relationships to the field. We discuss two contrasting visions for data science among our research participants. One vision is a transdisciplinary view portraying data science as a phenomenon with transcendent, appropriative, and impositional qualities that sits apart from academic domains. Another view of data science—one that was far more prevalent among our research subjects—casts data science as grounded, relational, and adaptive, emerging from crosspollination of numerous academic domains. We argue that this latter formulation represents a more quotidian reality of data science and positions the field as an extradiscipline, defined as a field that exists to facilitate the exchange of knowledge, skills, tools, and methods from an indeterminate and fluctuating set of disciplinary perspectives while conserving the boundaries of those disciplines. We argue that the dueling transdisciplinary and extradisciplinary visions for data science have important implications for how the field will mature, and that the extradiscipline concept opens novel directions for studying academic knowledge production in STS, contributing additional precision to the literature on disciplinarity and its permutations. [ABSTRACT FROM AUTHOR]

What happens when an algorithm is added to the work of an expert group? This study explores how algorithms pose a practical problem for experts. We study the introduction of a Probabilistic DNA Profiling (PDP) software into a forensics lab through interviews and court admissibility hearings. While meant to support experts' decision-making, in practice it has destabilized their authority. They respond to this destabilization by producing alternating and often conflicting accounts of the agency and significance of the software. The algorithm gets constructed alternately either as merely a tool or as indispensable statistical backing; the analysts' authority as either independent of the algorithm or reliant upon it to resolve conflict and create a final decision; and forensic expertise as resting either with the analysts or with the software. These tensions reflect the forensic 'culture of anticipation', specifically the experts' anticipation of ongoing litigation that destabilizes their control over the deployment and interpretation of expertise in the courtroom. The software highlights tensions between the analysts' supposed impartiality and their role in the courtroom, exposing legal and narrative implications of the changing nature of expertise and technology in the criminal legal system. [ABSTRACT FROM AUTHOR]

Wildlife field guide books present salient features of species, from colour and form to behaviour, and give their readers a vocabulary to express what these features look like. Such structures for observation, or observational grids, allow users to identify wildlife species through what Law and Lynch have called 'the difference that makes the difference'. In this article, we show how these grids, and the characteristics that distinguish species, change over time in response to wider concerns in the community that use and make the field guides. We use the development of Dutch field guides for dragonflies to show how the ethics of observing wildlife, the recreational value of dragonfly observation, the affordances of observational tools, and biodiversity monitoring and conservation goals all have repercussions for how dragonflies are to be identified. Ultimately, this affects not only how dragonflies are to be observed and identified, but also what is taken to be 'out there'. The article is based on a transdisciplinary cooperation between a dragonfly enthusiast with emic knowledge and access, and an STS researcher. We hope the articulation of our approach might inspire analyses of other observational practices and communities. [ABSTRACT FROM AUTHOR]

Soil microbial ecology is a relatively young research field that became established around the middle of the 20th century and has grown considerably since then. We analyze two epistemic re-orientations in the field, asking how possibilities for creating do-able problems within current conditions of research governance and researchers' collective sense-making about new, more desirable modes of research were intertwined in these developments. We show that a first re-orientation towards molecular omics studies was comparably straightforward to bring about, because it allowed researchers to gain resources for their work and to build careers—in other words, to create do-able problems. Yet, over time this mode of research developed into a scientific bandwagon from which researchers found it difficult to depart, even as they considered this kind of work as producing mostly descriptive studies rather than exploring interesting and important ecological questions. Researchers currently wish to re-orient their field again, towards a new mode of conducting 'well-rounded' interdisciplinary and ecologically-relevant studies. This re-orientation is, however, not easy to put into practice. In contrast to omics studies, this new mode of research does not easily enable the creation of do-able problems for two reasons. First, it is not as readily 'packaged' and hence more difficult to align with institutional and funding frameworks as well as with demands for productivity and career building. Second, while the first re-orientation was part of a broader exciting bandwagon across the life sciences and promised apparent discoveries, the current re-orientation goes along with a different sense of novelty, exploring complex environmental relations and building an understanding at the intersection of disciplines, instead of pushing a clearly circumscribed frontier. Ultimately, our analysis raises questions about whether current conditions of research governance structurally privilege particular kinds of scientific re-orientation over others. [ABSTRACT FROM AUTHOR]

What is race? And how does it figure in different scientific practices? To answer these questions, I suggest that we need to know race differently. Rather than defining race or looking for one conclusive answer to what it is, I propose methods that are open-ended, that allow us to follow race around, while remaining curious as to what it is. I suggest that we pursue generous methods. Drawing on empirical examples of forensic identification technologies, I argue that the slipperiness of race—the way race and its politics inexorably shift and change—cannot be fully grasped as an 'object multiple'. Race, I show, is not race: The same word refers to different phenomena. To grasp this, I introduce the notion of the affinity concept. Drawing on the history of race, along with contemporary work in forensic genetics, the affinity concept helps us articulate how race indexes three different scientific realities: race as object, race as method, and race as theory. These three different, yet interconnected realities, contribute to race's slipperiness as well as its virulence. [ABSTRACT FROM AUTHOR]

This article problematizes vision in practices of identification. It draws on the metaphor of the 'interface' to emphasize that vision emerges 'in between' eyes, faces, bodies, objects and ideas of belonging and otherness. As such, vision can be a material and political technology that enacts certain people as racial others. To attend to the materiality and politics of vision and its messy relationship with race, I bring together three European stories in which faces are drawn, seen or identified, while race hides or surfaces in intriguing ways. Through these stories we learn that race is saturated with affect and is recalled in objects and bodies. In addition, this article offers a novel methodological approach. It employs the eyes of the reader not only to read but also to watch. Vision itself becomes a technology, this time not to produce or reinforce, but to disturb and perhaps even undo ideas of racial otherness. Through the use of experimental montage, I attend to the complexities and incongruities of seeing faces and race without settling on a single narrative. I actively engage the eyes of the viewer to argue that vision is always relational and partial and therefore, it can also be harnessed to undo racial otherness by fragmenting, multiplying and affecting. [ABSTRACT FROM AUTHOR]

Forensic DNA Phenotyping (FDP) is a set of techniques that aim to infer externally visible characteristics in humans – such as eye, hair and skin color – and biogeographical ancestry of an unknown person, based on biological material. FDP has been applied in various jurisdictions in a limited number of high-profile cases to provide intelligence for criminal investigations. There are on-going controversies about the reliability and validity of FDP, which come together with debates about the ethical challenges emerging from the use of this technology in the criminal justice system. Our study explores how, in the context of complex politics of legitimation of and contestation over the use of FDP, forensic geneticists in Europe perceive this technology's potential applications, utility and risks. Forensic geneticists perform several forms of discursive boundary work, making distinctions between science and the criminal justice system, experts and non-experts, and good and bad science. Such forms of boundary work reconstruct the complex positioning vis-à-vis legal and scientific realities. In particular, while mobilizing interest in FDP, forensic geneticists simultaneously carve out notions of risk, accountability and scientific conduct that perform distance from FDP' implications in the criminal justice system. [ABSTRACT FROM AUTHOR]

The (re-)surfacing of race in forensic practices has received plenty of attention from STS scholars, especially in connection with modern forensic genetic technologies. In this article, I describe the making of facial depictions based on the skulls of unknown deceased individuals. Based on ethnographic research in the field of craniofacial identification and forensic art, I present a material-semiotic analysis of how race comes to matter in the face-making process. The analysis sheds light on how race as a translation device enables oscillation between the individual skull and population data, and allows for slippage between categories that otherwise do not neatly map on to one another. The subsuming logic of race is ingrained – in that it sits at the bases of standard choices and tools – in methods and technologies. However, the skull does not easily let itself be reduced to a racial type. Moreover, the careful efforts of practitioners to articulate the individual characteristics of each skull provide clues for how similarities and differences can be done without the effect of producing race. Such methods value the skull itself as an object of interest, rather than treat it as a vehicle for practicing race science. I argue that efforts to undo the persistence of race in forensic anthropology should focus critical attention on the socio-material configuration of methods and technologies, including data practices and reference standards. [ABSTRACT FROM AUTHOR]

Forensic DNA phenotyping (FDP) encompasses a set of technologies aimed at predicting phenotypic characteristics from genotypes. Advocates of FDP present it as the future of forensics, with an ultimate goal of producing complete, individualised facial composites based on DNA. With a focus on individuals and promised advances in technology comes the assumption that modern methods are steadily moving away from racial science. Yet in the quantification of physical differences, FDP builds upon some nineteenth- and twentieth-century scientific practices that measured and categorised human variation in terms of race. In this article I complicate the linear temporal approach to scientific progress by building on the notion of the folded object. Drawing on ethnographic fieldwork conducted in various genetic laboratories, I show how nineteenth- and early twentieth-century anthropological measuring and data-collection practices and statistical averaging techniques are folded into the ordering of measurements of skin color data taken with a spectrophotometer, the analysis of facial shape based on computational landmarks and the collection of iris photographs. Attending to the historicity of FDP facial renderings, I bring into focus how race comes about as a consequence of temporal folds. [ABSTRACT FROM AUTHOR]

Principal component analysis (PCA) is a common statistical procedure. In forensics, it is used in facial recognition technologies and composite sketching systems. PCA is especially helpful in contexts with high facial diversity, which is often translated as racial diversity. In these settings, researchers use PCA to define a 'normal face' and organize the rest of the available facial diversity based on their resemblance to or difference from that norm. In this way, the use of PCA introduces an 'ontology of the normal' in which expectations about how a normal face should look are corroborated by statistical calculations of normality. I argue that the use of PCA can lead to a statistical reification of racial stereotypes that informs recognition practices. I discuss current and historical cases in which PCA is used: one of face perception theorization ('face space theory') and two of technology development (the 'eigenfaces' facial recognition algorithm and the 'EvoFIT' composite sketching system). In each, PCA aligns facial normality with racial expectations, and instrumentalizes race in specific ways: as a type, physical attribute, or genealogy. This analysis of PCA does two things. First, it opens the black box of facial recognition to uncover how stereotypes and intuitions about normality become part of theories and technologies of facial recognition. Second, it explains why racial categorizations remain central in contemporary identification technologies and other forensic practices. [ABSTRACT FROM AUTHOR]

This article expands on recent studies of machine learning or artificial intelligence (AI) algorithms that crucially depend on benchmark datasets, often called 'ground truths.' These ground-truth datasets gather input-data and output-targets, thereby establishing what can be retrieved computationally and evaluated statistically. I explore the case of the Tumor nEoantigen SeLection Alliance (TESLA), a consortium-based ground-truthing project in personalized cancer immunotherapy, where the 'truth' of the targets—immunogenic neoantigens—to be retrieved by the would-be AI algorithms depended on a broad technoscientific network whose setting up implied important organizational and material infrastructures. The study shows that instead of grounding an undisputable 'truth', the TESLA endeavor ended up establishing a contestable reference, the biology of neoantigens and how to measure their immunogenicity having slightly evolved alongside this four-year project. However, even if this controversy played down the scope of the TESLA ground truth, it did not discredit the whole undertaking. The magnitude of the technoscientific efforts that the TESLA project set into motion and the needs it ultimately succeeded in filling for the scientific and industrial community counterbalanced its metrological uncertainties, effectively instituting its contestable representation of 'true' neoantigens within the field of personalized cancer immunotherapy (at least temporarily). More generally, this case study indicates that the enforcement of ground truths, and what it leaves out, is a necessary condition to enable AI technologies in personalized medicine. [ABSTRACT FROM AUTHOR]

For decades, playing Go at a professional level has counted among those things that, in Dreyfus's words, 'computers still can't do'. This changed dramatically in early March 2016, at the Four Seasons Hotel in Seoul, South Korea, when AlphaGo, the most sophisticated Go program at the time, beat Lee Sedol, an internationally top-ranked Go professional, by four games to one. A documentary movie has captured and crafted the unfolding drama and, since AlphaGo 's momentous win, the drama has been retold in myriad variations. Yet the exhibition match as a technology demonstration—in short, the ' AlphaGo show '—has not received much scrutiny in STS, notwithstanding or precisely because of all the media frenzy, game commentary, and 'AI' expertise in its wake. This article therefore revisits the second game's 'move 37', its surprise delivery by AlphaGo on stage, and the subsequent line of commentary by the attending experts, initiated by the news-receipt token 'ooh'. Drawing upon a reflexive video analysis, the article explicates the Go move's scenic intelligibility—its embodied delivery as part of the technology demonstration—as the contingent result of intricate 'human/machine interfacing'. For mainstream media to report on AlphaGo 's 'superhuman intelligence', it both relied upon and effaced such interfacing work. In turn, the article describes and discusses how 'object agency' and 'algorithmic drama' both trade on skillfully embodied play as a pivotal interfacing practice, informing the exhibition match from within its livestream broadcast. [ABSTRACT FROM AUTHOR]

How can we examine so-called 'artificial intelligence' ('AI') without turning our backs on the STS tradition that questions both notions of artificiality and intelligence? This special issue attempts a step to the side: Instead of considering 'AI' as something that does or does not exist (and then taking a position on its benefits or harms), its ambition is to document, in an empirical and agnostic way, the performances that make, sometimes, 'AI' appear or disappear in situation. And it comes out, from this perspective, that 'AI' could be considered a vast commensuration undertaking. [ABSTRACT FROM AUTHOR]