Social Studies of Science

The article explores reasons for the lack of success of digital electronic shelf labels (ESLs) in US retail settings. It suggests that these reasons can be traced by referring to the triple meaning of ‘digital’: ‘Digital’ now means electronic, but the word also long encompassed numerals – a digit is a number – and body parts – digitus is the Latin word for the finger, that is, the index we use to point at things or manipulate them. The current fate of ESLs is linked to a long history that combined these three dimensions. The study unfolds along a twofold narrative. First, it reviews the recent introduction of ESLs in the United States based on the reading of papers and advertisements published in Progressive Grocer, a leading trade press magazine. Then, it goes ‘back to the future’ by exploring the roots of ESLs over a century. This historical study is based on the analysis of the evolution of US price tag patents (through a network study of patents citations and their evolution); the network analysis is complemented with the history of the US price tag market (through the knowledge gained from Progressive Grocer). The results show that digital price fixing depends on past and present systems and infrastructures, cost constraints and payback schemes, legal frameworks, and social projects.

In recent years, cigarette packets have become the site of considerable legislative attention, via initiatives to remove industry branding from tobacco products. These efforts are based on the premise that branded cigarette packaging acts as a ‘silent salesman’ for smoking. According to this perspective, the cigarette packet has a particular sort of agency, but one rooted in its communicative powers rather than its material qualities. In this article, I reconsider this view, based on an analysis of archives in the Truth Tobacco Industry Documents Library produced by a search of the term ‘packet design’, and scholarship on containerization. Taking up the idea of containers as undertheorized forms of materiality, I argue that the cigarette packet is best conceptualized as a technology with powerful, albeit largely invisible, physical consequences on the circulation of cigarettes and the practice of smoking itself.

To be effective, healthcare technologies should be attuned to particular contexts of use. This article examines how such attuning is articulated in global innovation practices for tuberculosis and HIV diagnostics, and to what effect. It examines the development of point-of-care (POC) diagnostics – promised to be designed for users outside laboratories or in resource constrained settings – to study what developers and implementers do to align diagnostic technologies to the POC. Fieldwork among global health actors involved in diagnostic development, including manufacturers, donors, industry consultants, international organizations, policymakers, regulators and researchers, is combined with fieldwork among users of diagnostics in India, including decision-makers, NGOs, program officers, laboratory technicians and nurses. The article adds to STS’s theory of alignment and user interaction, where the setting and user to which developers and implementers of global health diagnostics align are multiple, varied, emerging and keep shifting. The characteristics of a local user setting include multiple engaged and imagined user settings, but also the settings of developers, of global intermediaries, competitors and diseases. As such, alignment is happening across multiple dimensions and scales and has an important temporal dimension. The results reveal how alignment happens to some extent in the dark, characterized by uncertainty about the elements that should align. Standardizing elements, politics and scarce resources cause frictions in the temporalities of aligning and over what constitutes a well-aligned diagnostic.

In recent decades, scientists have developed a wide array of hydrological, hydrodynamic, and other models to understand the dynamics of the Mekong River Basin. Indeed, the area has been described as ‘flooded’ with models. Drawing on STS and the philosophy of modeling – which has described models as mediating instruments – the first half of this article discusses how and why this proliferation has occurred, focusing on the Cambodian context. Highlighting that models are developed comparatively, with reference to one another, the analysis shows how they have generated a partially connected ecology of comparisons. As each model makes its own image of the Mekong, the ecology as a whole creates a kaleidoscopic effect. In principle, this ecology is important for that of environmental policy-making. In practice, however, it is tremendously difficult for scientists to bridge the ecologies. Examining two cases of NGO-based modeling aiming to influence policy, the second half of the paper offers a comparative analysis of the challenges modeling knowledge faces in Mekong environmental politics.

A burgeoning scholarship has taken seriously the use and management of the world’s fresh water as a site of critical investigation, highlighting the contribution of science and technology studies in making the infrastructural life of water visible. However, studies say little about the calculative terms of the decision-making process involved in infrastructural appraisal which are often taken for granted as something inevitable. This article examines the unexpected and remarkable role that cost-benefit analysis played in governing Iran’s democratic future through the assembling of a dam in the mid-20th century. Indeed, cost-benefit analysis traveled the world via flows of water. I investigate the ways in which the calculation of risk generated by the device of cost-benefit analysis of neoclassical economics became over several decades the most influential language for explaining and organizing the relationship between humans and nature in southwest Iran. The waters of the Dez River and other major rivers of the world shaped the building of large-scale infrastructural projects around dams, but they were simultaneously entangled with the production of economic information about the costs and benefits to local areas, making possible the development of new methods of governing democracies in terms of risk. US-based government aid agencies, institutions of global economic governance, private American investors, engineers, and agricultural scientists converged in a small corner of Iran to transform the region, its water, and its farmers into a laboratory of grass-roots democracy for a profit.

The existing literature on modelling provides two main ways of viewing model migration: a modular view, which seeks to decompose models in their constitutive elements, and thus provides a view on what it is that migrates; and a practice-based view, which focuses on modelling as an activity, and understands a model as intricately entangled with its context of use. This article brings together these two sensitivities by focusing on ontologies of modelling. The paper presents a case study of the appropriation of modern finance theory’s ‘no-arbitrage’ models by British actuaries – a process that gradually unfolded at around the turn of the century and led to significant friction within the UK’s insurance industry. We can distinguish two main modelling ontologies: a ‘risk-neutral ontology’, which underpins no-arbitrage models and holds that the value of financial instruments is determined by ‘arbitrage’; and, a ‘real-world ontology’, which assumes that the economic world consists of real probabilities that may be approximated through a combination of archival-statistical methods and expert judgment. The appropriation of the risk-neutral modelling ontology was made possible by the declining legitimacy of actuarial expertise as ‘financial stewards’ of life insurance companies. The risk-neutral modelling ontology provided an ‘objective’ alternative to the traditional actuarial models, which explicitly required actuaries to make ‘prudent’ judgments. Despite the fact that the no-arbitrage modelling was considered an ‘objective’ affair, the valuation models that insurers use today are strongly shaped by political compromises, a result of the ‘rough edges’ of models.

Through an analysis of the FDA’s approval of the controversial anti-influenza drug Relenza (zanamivir), we interrogate distinct social scientific theories of pharmaceutical regulation. We investigate why, despite internal negative opinions and an Advisory Committee’s non-approval recommendation, the FDA approved Relenza in the late 1990s. Based on a close reading of FDA documents, we show how agency officials guided the manufacturer’s analyses and participated in constructing a tenuous argument for approval. We show how regulators may strategically design drug labels that can justify their permissive regulation. We consider the explanatory power of official accounts and alternative, partially overlapping, theories of pharmaceutical regulation in the Relenza case, and develop new insights into the institutional dynamics of regulator-industry relations. We find little or no evidence that the FDA was primarily driven by public health concerns, pressure from disease-based patient activism, or a consumerist and neoliberal regulatory logic, although some of these explanations provided managers with convenient rhetoric to rationalize their actions. Rather, we argue that the Relenza case highlights contradictions between a scientific culture at FDA, conducive to rigorous product evaluations, and the agency’s attempts to accommodate higher-level political (i.e. Congress) and industry demands conducive of permissive regulation – consistent with some aspects of reputational and capture theories, as well as with corporate bias theory.