Social Studies of Science

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...

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...

What makes one dataset powerful for civic advocacy, and another fall flat? Drawing from a citizen science project on environmental health, I argue that there is an underacknowledged quality of datasets-their topology-that shapes the social, cultural, and political possibilities they can sustain or subvert. Data topologies are formal qualities of a dataset that connect data collectors' intentions with the types of calculations that can and cannot be performed. This configures how numerical arguments are made, and the sociotechnical imaginaries those arguments sustain or subvert...

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...

Immunotherapy is heralded as the 'fifth pillar' of cancer therapy, after surgery, radiotherapy, chemotherapy and genomic medicine. It involves 'harnessing' patients' own immune system T-cells to treat cancer. In this article, I draw on qualitative interviews with practitioners working in oncology and patients in the UK, to trace metaphorical and discursive framing around immunotherapy. Immunotherapy aims to restore the functioning of the immune system to detect cancer (non-self), working with the self/non-self model that pervades immunology discourse more widely...

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...

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...

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...

This article expands on recent studies of machine learning or artificial intelligence (AI) algorithmsthat 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 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...

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...

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...

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 ...

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...

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...

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...

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...

Increasingly, countries in the Global South-notably South Africa, Brazil, and Indonesia-are introducing material transfer agreements (MTAs) into their domestic laws for the exchange of scientific material. The MTA is a contract securing the legal transfer of tangible research material between organizations such as laboratories, pharmaceutical companies, or universities. Critical commentators argue that these agreements in the Global North have come to fulfill an important role in the expansion of dominant intellectual property regimes...

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...

Scientific institutions have increasingly embraced formalized research data management strategies, which involve complex social practices of codifying the tacit dimensions of data practices. Several guidelines to facilitate these practices have been introduced in recent years, for example, the FAIR guiding principles. The aim of these practices is to foster transparency and reproducibility through 'data sharing,' the public release of data for unbounded reuse. However, a closer look suggests that many scientists' practices of data release might be better described as what I call data handovers ...