As computating technologies become ubiquitous and at least partly autonomous, they will have increasing impact on societies, both in the developed and developing worlds. This article outlines a framework for guiding emerging technologies in directions that promise social as well as technical progress. Multiple stakeholders will have to be engaged in dialogues over new technological directions, forming trading zones in which knowledge and resources are exchanged. Such discussions will have to incorporate cultural and individual values.

This paper explores the sense in which modern societies can be said to be rational. Social rationality cannot be understood on the model of an idealized image of scientific method. Neither science nor society conforms to this image. Nevertheless, critique is routinely silenced by neo-liberal and technocratic arguments that appeal to social simulacra of science. This paper develops a critical strategy for addressing the resistance of rationality to rational critique. Romantic rejection of reason has proven less effective than strategies that (...) conceptualize modern artefacts, systems, and organizations as rationally underdetermined. This approach first appears in Marx's analysis of capitalist economics. Although he lacks the concept of underdetermination, Marx gets around the silencing effect of social rationality with something very much like it in his discussion of the length of the working day. Frankfurt School Critical Theory later blended romantic elements with Marxian ones in a suggestive but ambiguous mixture. The concept of underdetermination reappears in contemporary science and technology studies, now clearly articulated and philosophically and sociologically elaborated. But somewhere along the way the critical thrust was diluted. Critical theory of technology attempts to recover that thrust. Here its approach is generalized to cover the three main forms of social rationality. (shrink)

The use of computers for simulation work can be traced back to the 1950s, and the pioneering work of Stafford Beer, KD Tocher and others at Cybor House in Sheffield, UK, the research and development (R&D) department of British steelmakers, United Steel. This innovative simulation work sought to offer an abstracted, ‘total’ environment of the steelmaking process in which different operational activities could be modeled. Critical to this work was the ability of computer simulations to perform such modelling at a (...) fraction of the cost, wasting fewer material resources, and in a considerably shorter timeframe. Such work can be understood as the earliest example of the application of industrial-scale ‘automated computation’ to a real-world industrial process. Similarly indebted to the early principles of computer simulation, Waymo engineers are also engaged in the building of so-called ‘conflict typologies’ designed to encode material properties of everyday driving interactions between road users, rather than simply road users themselves. Through ‘motion planning’, coupled with the categorization of driving interactions, Waymo engineers build instrumental understanding of their own system’s purported intelligence in navigating everyday driving situations. Functioning as ‘generative mechanisms’ rather than simply evaluative devices, engineers seek to industrialize—instrumentalize, scale up, rationalize—everyday driving knowledge. Through conflict typologies, instrumental knowledge of the actual capacities of autonomous vehicles is industrialized, materialized, and realized. (shrink)

Theories of race-making have recognized the confusion and contradiction in state-led racial projects but have not sufficiently elaborated their unintended consequences. Focusing on the relationship between the state, racial science, and immigration policy in the early twentieth century United States, this article illustrates how practical challenges in racial projects can jeopardize and thereby eventually trigger innovations in modes of racial governance. The Dillingham Commission (1907–1911) was a Congressional investigative commission that attempted to collect comprehensive data on immigrants in order to (...) provide a scientific foundation of immigration policy. Specifically, the most powerful members of the Commission’s executive committee wanted to single out Southern and Eastern Europeans (SEEs) and portray them as “undesirable races.” Developing such a classification scheme, however, proved to be difficult, and the facts collected from the field did not support their goal, instead demonstrating that in many cases SEEs were not very different from other immigrants and their native-born counterparts. The idea for national quotas, as well as the theoretical foundation for the inclusion of SEEs, emerged in this process, not as an outcome of ideological design but as an unintended byproduct of knowledge production. I highlight the pursuit of facts-based governance and relative autonomy of middle-level managers as key factors that enabled such process. (shrink)

Value capture occurs when an agent’s values are rich and subtle; they enter a social environment that presents simplified — typically quantified — versions of those values; and those simplified articulations come to dominate their practical reasoning. Examples include becoming motivated by FitBit’s step counts, Twitter Likes and Re-tweets, citation rates, ranked lists of best schools, and Grade Point Averages. We are vulnerable to value capture because of the competitive advantage that such crisp and clear expressions of value have in (...) our private reasoning and our public justification. There is, however, a price. In value capture, we take a central component of our autonomy — our ongoing deliberation over the exact articulation of our values — and we outsource it. And the metrics to which we outsource usually engineered for the interests of some external force, like a large-scale institution’s interest in cross-contextual comprehensibility and quick aggregability. That outsourcing cuts off one of the key benefits to personal deliberation. In value capture, we no longer adjust our values and their articulations in light of own rich experience of the world. Our values should often be carefully tailored to our particular selves or our small-scale communities, but in value capture, we buy our values off the rack. In some cases – like decreasing CO2 emissions – the costs of non-tailored values are outweighed by the benefit of precise collective coordination. In other cases, like in our aesthetic lives, they are not. This suggests that we should want different values suited to different scales. We should want value federalism. Some values are perhaps best pursued at the largest-scale level, others at smaller scales. The problem occurs when we exhibit an excess preference for the largest-scale values – when we consistently let the universal metrics swamp our quieter interests. (shrink)

In our life with science, we trust experts; we form judgements by inference from past evidence. We conduct ourselves very differently in the aesthetic domain. We avoid deferring to aesthetic experts. We form our judgements through direct perception of particulars rather than through inference. Why the difference? I suggest that we avoid aesthetic testimony and aesthetic inference, not because they’re unusable, but because we have adopted social norms to avoid them. Aesthetic appreciation turns out to be something like a game. (...) We have laid down certain rules and restrictions in order to shape a kind of activity we cherish. And aesthetic properties turn out to be a kind of social construct. Much like the goal of a game, they are constituted in part by our obedience to certain rules. The norms of aesthetic life are different from those of science because our purposes are different. We engage in science to get the right answers; we engage in aesthetic appreciation to be absorbed in the activity of the sensuous perception of particulars. Our aesthetic practices are a constructed shelter from science; they restore to us a small domain where we may once again engage in our own sensuous perception of particulars. (shrink)

There has been much criticism of the idea that Friston's free-energy principle can unite the life and mind sciences. Here, we argue that perhaps the greatest problem for the totalizing ambitions of its proponents is a failure to recognize the importance of evolutionary dynamics and to provide a convincing adaptive story relating free-energy minimization to organismal fitness.

ArgumentIn the United States, scientific knowledge is brought before the courts by way of testimony – the testimony of scientific experts. We argue that this expertise is best understoodfirstas related to the quality of the underlying scienceand thenin terms of who delivers it. Bloodstain pattern analysis (BPA), a contemporary forensic science, serves as the vaulting point for our exploration of objectivity as a metric for the quality of a science in judicial contexts. We argue that BPA fails to meet the (...) minimal standard set by Helen Longino’s social-procedural account of objectivity (1990, 2002). In light of some pressing issues for social-procedural accounts, we offer an infrastructural account of objectivity. This account offers what amounts to a friendly amendment to Longino’s account and adds to the ways in which we might analyze social-procedural objectivity. Finally, we address an issue that is pressing in the legal context: given that scientific knowledge is delivered by individuals, not communities, at least in U.S. courts, we (may) need a way to evaluate individual scientific and epistemic agents. We suggest a means for making this evaluation that is derived from our infrastructural account of objectivity. (shrink)

The idea that ambiguity can be productive in data science remains controversial. Efforts to make scientific publications and data intelligible to computers generally assume that accommodating multiple meanings for words, known as polysemy, undermines reasoning and communication. This assumption has nonetheless been contested by historians, philosophers, and social scientists, who have applied qualitative research methods to demonstrate the generative and strategic value of polysemy. Recent quantitative results from linguistics have also shown how polysemy can actually improve the efficiency of human (...) communication. I present a new conceptual typology based on a synthesis of prior research about the aims, norms, and circumstances under which polysemy arises and is evaluated. The typology supports a contextual pluralist view of polysemy’s value for scientific research practices: polysemy does both substantial positive and negative work in science, but its utility is context-sensitive in ways that are often overlooked by the norms people have formulated to regulate its use, including prior scholars researching polysemy. I also propose that historical patterns in the use of partial synonyms, i.e. terms with overlapping meanings, provide an especially promising phenomenon for integrative research addressing these issues. (shrink)

Ample scholarship demonstrates that data-intensive technologies have the capacity to cause serious harm and that their developers are obliged to address ethics in their work. This ethnographic paper tells the story of data scientists attempting to instantiate a carefully considered ethical vision into a data infrastructure while balancing competing priorities, negotiating divergent interests, and wrestling with contrasting values. I use their story to develop the concept of “ethical abduction,” which I characterize as an exemplary process by which actors can intentionally (...) and systematically address ethical issues that arise during their day-to-day actions by making decisions with consideration for a foundational ethical worldview. It entails tacking back and forth between divergent but complementary ways of thinking: between establishing ideals and making decisions given practical constraints; between understanding historical context and anticipating future consequences; between acknowledging structural dependencies and accepting responsibility for moral agency. (shrink)

This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in (...) making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research. (shrink)

When radiocarbon dating techniques were applied to archaeological material in the 1950s they were hailed as a revolution. At last archaeologists could construct absolute chronologies anchored in temporal data backed by immutable laws of physics. This would make it possible to mobilize archaeological data across regions and time-periods on a global scale, rendering obsolete the local and relative chronologies on which archaeologists had long relied. As profound as the impact of 14C dating has been, it has had a long and (...) tortuous history now described as proceeding through three revolutions, each of which addresses distinct challenges of capturing, processing and packaging radiogenic data for use in resolving chronological puzzles with which archaeologists has long wrestled. In practice, mobilizing radiogenic data for archaeological use is a hard-won achievement; it involves multiple transformations that, at each step of the way, depend upon a diverse array of technical expertise and background knowledge. I focus on strategies of triangulation and traceability that establish the integrity of these data and their relevance as anchors for evidential reasoning in archaeology. (shrink)

Identification technologies like biometrics have long been associated with securitisation, coercion and surveillance but have also, in recent years, become constitutive of a politics of empowerment, particularly in contexts of international aid. Aid organisations tend to see digital identification technologies as tools of recognition and inclusion rather than oppressive forms of monitoring, tracking and top-down control. In addition, practices that many critical scholars describe as aiding surveillance are often experienced differently by humanitarian subjects. This commentary examines the fraught questions this (...) raises for scholars of international aid, surveillance studies and critical data studies. We put forward a research agenda that tackles head-on how critical theories of data and society can better account for the ambivalent dynamics of ‘power over’ and ‘power to’ that digital aid interventions instantiate. (shrink)

Global clinical trials depend on a range of standards in order for research results to be comparable. As standardization is more than a mere technical exercise, tensions can arise when things are not uniform. This paper uses empirical data from interviews with principal investigators as well as Clinical Research Organization and pharmaceutical industry representatives working in India’s clinical trial industry to critically examine the ways Indian researchers navigate quests for standardization. It turns the analytical lens to the often obfuscated work (...) of standardization aiming to transcend the biological and cultural specificity of research participants and research sites. Drawing on the concept of local biologies, it illustrates that the universal body presumed by clinical trial methodology is, in fact, a specifically Euro-American one: Indian participants not only need to be made globally comparable but also aligned with the drugs’ future consumers. Focusing on the tensions between biomedicine’s postulation of bodily universality and trial participants’ local biologies, this paper advances recent interventions problematizing the structural violence undergirding global clinical trials. It also contributes to the literature on local biologies in its discussion of how these are negotiated in Indian for-profit clinical trials. (shrink)

This article examines the historical construction of depression over about a hundred years, employing the social life of methods as an explanatory framework. Specifically, it considers how emerging methodologies in the measurement of psychological constructs contributed to changes in epistemological approaches to mental illness and created the conditions of possibility for major shifts in the construction of depression. While depression was once seen as a feature of psychotic personality, measurement technologies made it possible for it to be reconstructed as changeable (...) and treatable. Different types of scaling techniques (Likert versus dichotomous scales) enabled the separation of depressive personality from reactive depression, paving the way for measuring the severity and intensity of emotions. Techniques to test sensitivity to change provided a means of demonstrating the efficacy of new psychoactive drug treatments. Later, more advanced techniques of precision scaling enabled the management of a new measurement problem, clinician unreliability, associated with the growing number of professionals involved in mental health care. Through statistical management of unreliability, the construct of depression has dramatically reduced over this period from hundreds of questionnaire items to potentially just two. Exploring the history of depression through this lens produces an alternative narrative to those that have emerged as a result of medicalisation and the actions of individuals and pressure groups. (shrink)

Recently, two prescription drugs have become salient to breast cancer prevention. With the advent of these drugs, referred to as “chemoprevention,” a mandate has emerged to classify certain women as high risk for breast cancer to determine a group of legitimate users of the drugs. This article examines the development and standardization of the model used to create such a group of high-risk women. The author argues that while the model remains uncertain and controversial, it has become the standard tool (...) for the many jobs associated with legitimizing chemoprevention use in the United States. It has become the assumed standard—shaping practices, identities, and definitions—through its organizational embeddedness in the multiple practices and public images of chemoprevention despite its uncertainty and widespread critique. (shrink)

In December 2010, the governor of Mississippi suspended the dual life sentences of two African American sisters who had been imprisoned for sixteen years on an extraordinary condition: that Gladys Scott donate a kidney to her ailing sister Jamie Scott. The Scott Sisters’ case is a highly unusual one, yet it is a revealing site for inquiry into US biopolitics more broadly. Close attention to the conditional release and its context demands a broader frame than traditional bioethics and helps to (...) push science and technology studies analysis of race past its conventional focus on genetics. This article draws on the Scott Sisters’ case as a site for interrogating the US context of racialized mass incarceration and kin-oriented and consumerist valorization of organ donation. Tensions between racialized exclusions, the promise of consumerist freedom, and the lack of expectations of the state are foundational to a distinctly American biological citizenship. By putting the Scott Sisters’ case into conversation with broader arguments about incarceration as a site of racialization and STS literatures of organ transplantation and of biological citizenship in diverse geographical sites, this article seeks to articulate some of the racialized contours of biopolitics in the United States. (shrink)

There are three components to boundary objects as outlined in the original 1989 article. Interpretive flexibility, the structure of informatic and work process needs and arrangements, and, finally, the dynamic between ill-structured and more tailored uses of the objects. Much of the use of the concept has concentrated on the aspect of interpretive flexibility and has often mistaken or conflated this flexibility with the process of tacking back-and-forth between the ill-structured and well-structured aspects of the arrangements. Boundary objects are not (...) useful at just any level of scale or without full consideration of the entire model. The article discusses these aspects of the architecture of boundary objects and includes a discussion of one of the ways that boundary objects appeared as a concept in earlier work done by Star. It concludes with methodological considerations about how to study the system of boundary objects and infrastructure. (shrink)

Part of understanding the meaning and power of algorithms means asking what new demands they might make of ethical frameworks, and how they might be held accountable to ethical standards. I develop a definition of networked information algorithms as assemblages of institutionally situated code, practices, and norms with the power to create, sustain, and signify relationships among people and data through minimally observable, semiautonomous action. Starting from Merrill’s prompt to see ethics as the study of “what we ought to do,” (...) I examine ethical dimensions of contemporary NIAs. Specifically, in an effort to sketch an empirically grounded, pragmatic ethics of algorithms, I trace an algorithmic assemblage’s power to convene constituents, suggest actions based on perceived similarity and probability, and govern the timing and timeframes of ethical action. (shrink)

Building on conceptual insights from the history and sociology of numbers, media and surveillance studies, and theories of governance and risk, this article analyzes the forms of transparency produced by the use of numbers in social life. It examines what it is about numbers that often makes their ‘truth claims’ so powerful, investigates the role that numerical operations play in the production of retrospective, real-time and anticipatory forms of transparency in contemporary politics and economic transactions, and discusses some of the (...) implications resulting from the increasingly abstract and machine-driven use of numbers. It argues that the forms of transparency generated by machine-driven numerical operations open up for individual and collective practices in ways that are intimately linked to precautionary and pre-emptive aspirations and interventions characteristic of contemporary governance. As such, these numerical operations raise important political and ethical questions that deserve further conceptual and empirical scrutiny. (shrink)

Geoengineering is typically defined as a techno-scientific response to climate change that differs from mitigation and adaptation, and that includes diverse individual technologies, which can be classified as either solar radiation management or carbon dioxide removal. We analyse the representation of geoengineering on Wikipedia as a way of opening up this dominating, if contested, model for further debate. We achieve this by contrasting the dominating model as presented in the encyclopaedic article texts with the patterns of hyper-link associations between the (...) articles. Two datasets were created tracing the geoengineering construct on Wikipedia, shedding light on its boundary with its context, as well as on its internal structure. The analysis shows that the geoengineering category tends to be associated on Wikipedia primarily with atmospheric solar radiation management rather than land-based carbon dioxide removal type technologies. The results support the notion that the dominant model of defining and classifying geoengineering technology has been beneficial for solar radiation management type technologies more than for land-based carbon dioxide removal ones. The article also demonstrates that controversy mapping with Wikipedia data affords analysis that can open up dominating definitions and classifications of technologies, and offer resistance to their frequent naturalising and decontextualising tendencies. This work is in line with recent work on digital sociology, but the article contributes a new methodology and reports on the first empirical application of controversy mapping using Wikipedia data to a technology. (shrink)

This article considers the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card fraud detection, search engines, news trends, market segmentation and advertising, insurance or loan qualification, and credit scoring. These mechanisms of classification all frequently rely on computational algorithms, and in many cases on machine learning algorithms to do this work. In this article, I draw a distinction between three forms of opacity: opacity as intentional corporate or state (...) secrecy, opacity as technical illiteracy, and an opacity that arises from the characteristics of machine learning algorithms and the scale required to apply them usefully. The analysis in this article gets inside the algorithms themselves. I cite existing literatures in computer science, known industry practices, and do some testing and manipulation of code as a form of lightweight code audit. I argue that recognizing the distinct forms of opacity that may be coming into play in a given application is a key to determining which of a variety of technical and non-technical solutions could help to prevent harm. (shrink)

Ethnobotanical research provides ample justification for comparing diverse biological nomenclatures and exploring ways that retain alternative naming practices. However, how (and whether) comparison of nomenclatures is possible remains a subject of discussion. The comparison of diverse nomenclatural practices introduces a suite of epistemic and ontological difficulties and considerations. Different nomenclatures may depend on whether the communities using them rely on formalized naming conventions; cultural or spiritual valuations; or worldviews. Because of this, some argue that the different naming practices may not (...) be comparable if the ontological commitments employed differ. Comparisons between different nomenclatures cannot assume that either the naming practices or the object to which these names are intended to apply identifies some universally agreed upon object of interest. Investigating this suite of philosophical problems, I explore the role grey nomenclatures play in classification. ‘Grey nomenclatures’ are defined as those that employ names that are either intentionally or accidentally non-Linnaean. The classification of the lichen thallus (a symbiont) has been classified outside the Linnaean system by botanists relying on the International Code of Nomenclature for algae, fungi, and plants (ICN). But, I argue, the use of grey names is not isolated and does not occur exclusively within institutionalized naming practices. I suggest, ‘grey names’ also aptly describe nomenclatures employed by indigenous communities such as the Samí of Northern Finmark, the Sherpa of Nepal, and the Okanagan First Nations. I pay particular attention to how naming practices are employed in these communities; what ontological commitments they hold; for what purposes are these names used; and what anchors the community’s nomenclatural practices. Exploring the history of lichen naming and early ethnolichenological research, I then investigate the stakes that must be considered for any attempt to preserve, retain, integrate, or compare the knowledge contained in both academically formalized grey names and indigenous nomenclatures in a way that preserves their source-specific informational content. (shrink)

As inductive decision-making procedures, the inferences made by machine learning programs are subject to underdetermination by evidence and bear inductive risk. One strategy for overcoming these challenges is guided by a presumption in philosophy of science that inductive inferences can and should be value-free. Applied to machine learning programs, the strategy assumes that the influence of values is restricted to data and decision outcomes, thereby omitting internal value-laden design choice points. In this paper, I apply arguments from feminist philosophy of (...) science to machine learning programs to make the case that the resources required to respond to these inductive challenges render critical aspects of their design constitutively value-laden. I demonstrate these points specifically in the case of recidivism algorithms, arguing that contemporary debates concerning fairness in criminal justice risk-assessment programs are best understood as iterations of traditional arguments from inductive risk and demarcation, and thereby establish the value-laden nature of automated decision-making programs. Finally, in light of these points, I address opportunities for relocating the value-free ideal in machine learning and the limitations that accompany them. (shrink)

There is an ongoing and robust tradition of science and technology studies scholars conducting ethnographic laboratory studies. These laboratory studies—like all ethnographies—are each conducted at a particular time, are situated in a particular place, and are about a particular culture. Presumably, this contextual specificity means that such ethnographies have limited applicability beyond the narrow slice of time, place, and culture that they each subject to examination. But we do not always or even often treat them that way. It is beyond (...) common for us to speak about what one or another laboratory study reveals about the laboratory, or “science” much more broadly. Given the contextual specificity of our ethnographic laboratory studies, what justifies this presumed generalizability? Initially, this manuscript surveys typical responses to this question, but then it pursues an unusual one: the potential replicability of ethnographic results. This potential is hereby explored, via an ethnographic replication attempt—one designed and conducted in order to test the generalizability of a particular laboratory study, that of Latour and Woolgar’s classic Laboratory Life. The results of the ethnographic replication attempt are reported, and a remarkable degree of replicability is established. (shrink)

Given the profound influence of social media and emerging evidence of its effects on human behavior and health, bioethicists have an important role to play in the development of professional standards of conduct for health professionals using social media and in the design of online systems themselves. In short, social media is a bioethics issue that has serious implications for medical practice, research, and public health. Here, we inventory several ethical issues across four areas at the intersection of social media (...) and health: the impact of social networking sites on the doctor‐patient relationship, the development of e‐health platforms to deliver care, the use of online data and algorithms to inform health research, and the broader public health consequences of widespread social media use. In doing so, we review discussions of these topics and emphasize the need for bioethics to focus more deeply on the ways online technology platforms are designed and implemented. We argue that bioethicists should turn their attention to the ways in which consumer engagement, bias, and profit maximization shape online content and, consequently, human behavior and health. We also offer a set of recommendations and suggest future directions for addressing ethical challenges in these domains. (shrink)

Genomics is increasingly considered a global enterprise – the fact that biological information can flow rapidly around the planet is taken to be important to what genomics is and what it can achieve. However, the large-scale international circulation of nucleotide sequence information did not begin with the Human Genome Project. Efforts to formalize and institutionalize the circulation of sequence information emerged concurrently with the development of centralized facilities for collecting that information. That is, the very first databases build for collecting (...) and sharing DNA sequence information were, from their outset, international collaborative enterprises. This paper describes the origins of the International Nucleotide Sequence Database Collaboration between GenBank in the United States, the European Molecular Biology Laboratory Databank, and the DNA Database of Japan. The technical and social groundwork for the international exchange of nucleotide sequences created the conditions of possibility for imagining nucleotide sequences as a “global” objects. The “transnationalism” of nucleotide sequence was critical to their ontology – what DNA sequences came to be during the Human Genome Project was deeply influenced by international exchange. (shrink)

The past decade has seen a flurry of social scientific research on the use of racial categories in human genetics research. This literature has critically analyzed how U.S. race relations are being shaped by and themselves shaping research on human biological difference and disease. Recent work, however, suggests that the particular configurations of science and ethnoracial politics in the US are not exportable. Instead, research on human biology in other contexts reveals the importance of not just racial categories, but national, (...) ethnic, regional and linguistic classifications of bodies and communities... (shrink)

The failure of psychiatry to validate its diagnostic constructs is often attributed to the prioritizing of reliability over validity in the structure and content of the Diagnostic and Statistical Manual of Mental Disorders. Here I argue that in fact what has retarded biomedical approaches to psychopathology is unwarranted optimism about diagnostic discrimination: the assumption that our diagnostic tests group patients together in ways that allow for relevant facts about mental disorder to be discovered. I consider the Research Domain Criteria framework (...) as a new paradigm for classifying objects of psychiatric research that solves some of the challenges brought on by this assumption. (shrink)

This article examines the political controversy in the United States surrounding a new process for the disposition of human remains, alkaline hydrolysis. AH technologies use a heated solution of water and strong alkali to dissolve tissues, yielding an effluent that can be disposed through municipal sewer systems, and brittle bone matter that can be dried, crushed, and returned to the decedent’s family. Though AH is legal in eight US states, opposition to the technology remains strong. Opponents express concerns about public (...) health and safety and about the dignity of our mortal remains. Proponents focus on AH’s environmental benefits over cremation and earth burial, aligning the technology with the “green burial” movement. Drawing from historical sources, Science, Technology, and Society literature, interviews with funeral professionals, industry literature, and various media sources, this article examines four prominent conceptions of the dead human body as they are deployed by various funeral stakeholders seeking to exercise authority over the dead human body, to influence the trajectory of AH technology in the United States, and to chart a course for US deathcare culture in the twenty-first century. (shrink)

The aim of this article is to theorize how materials can play an active, constitutive, and causally effective role in the production and sustenance of cultural forms and meanings. It does so through an empirical exploration of the Museum of Modern Art of New York (MoMA). The article describes the museum as an “objectification machine” that endeavors to transform and to stabilize artworks as meaningful “objects” that can be exhibited, classified, and circulated. The article explains how the extent to which (...) the museum succeeds in this process of stabilization ultimately depends on the material properties of artworks and, more specially, on whether these behave as “docile” or “unruly” objects. Drawing on different empirical examples, the article explores how docile and unruly objects shape organizational dynamics within the museum and, through them, the wider processes of institutional and cultural reproduction. The article uses this empirical example to highlight the importance of developing a new “material sensibility” that restores heuristic dignity to the material within cultural sociology. (shrink)

This paper discusses the operations meant to act on situations of ontological uncertainties for chemicals. Using examples related to substances developed as part of nanotechnology programs, it analyses technical and social instruments meant to define the existence of these substances, as « new » or « existing » chemicals. Carbon nanotubes developed by a French company offer an illustration of containment, while the legal disputes about nano silver in the U.S. display oppositions about whether or not these compounds are equivalent (...) to colloïdal silver. The operations meant to deal with the ontological uncertainty of these substances define categories and craft political organizations. As such, they suggest developing an analytical approach able to jointly examine the ontologies of material objects and the forms of political ordering. (shrink)

This inaugural handbook documents the distinctive research field that utilizes history and philosophy in investigation of theoretical, curricular and pedagogical issues in the teaching of science and mathematics. It is contributed to by 130 researchers from 30 countries; it provides a logically structured, fully referenced guide to the ways in which science and mathematics education is, informed by the history and philosophy of these disciplines, as well as by the philosophy of education more generally. The first handbook to cover the (...) field, it lays down a much-needed marker of progress to date and provides a platform for informed and coherent future analysis and research of the subject. -/- The publication comes at a time of heightened worldwide concern over the standard of science and mathematics education, attended by fierce debate over how best to reform curricula and enliven student engagement in the subjects There is a growing recognition among educators and policy makers that the learning of science must dovetail with learning about science; this handbook is uniquely positioned as a locus for the discussion. -/- The handbook features sections on pedagogical, theoretical, national, and biographical research, setting the literature of each tradition in its historical context. Each chapter engages in an assessment of the strengths and weakness of the research addressed, and suggests potentially fruitful avenues of future research. A key element of the handbook’s broader analytical framework is its identification and examination of unnoticed philosophical assumptions in science and mathematics research. It reminds readers at a crucial juncture that there has been a long and rich tradition of historical and philosophical engagements with science and mathematics teaching, and that lessons can be learnt from these engagements for the resolution of current theoretical, curricular and pedagogical questions that face teachers and administrators. (shrink)

Scientific classification has long been recognized as involving a specific style of reasoning and doing research, and as occasionally affecting the development of scientific theories. However, the role played by classificatory activities in generating theories has not been closely investigated within the philosophy of science. I argue that classificatory systems can themselves become a form of theory, which I call classificatory theory, when they come to formalize and express the scientific significance of the elements being classified. This is particularly evident (...) in some of the classification practices used in contemporary experimental biology, such as bio-ontologies used to classify genomic data and typologies used to classify “normal” stages of development in developmental biology. In this paper, I explore some characteristics of classificatory theories and ways in which they differ from other types of scientific theories and other components of scientific epistemology, such as models and background assumptions. (shrink)

STS research has devoted relatively little attention to the promotion and reception of science and technology by non-scientific actors and institutions. One consequence is that the relationship of science and technology to political power has tended to remain undertheorized. This article aims to fill that gap by introducing the concept of sociotechnical imaginaries. Through a comparative examination of the development and regulation of nuclear power in the US and South Korea, the article demonstrates the analytic potential of the imaginaries concept. (...) Although nuclear power and nationhood have long been imagined together in both countries, the nature of those imaginations has remained strikingly different. In the US, the state’s central move was to present itself as a responsible regulator of a potentially runaway technology that demands effective containment. In South Korea, the dominant imaginary was of atoms for development which the state not only imported but incorporated into its scientific, technological and political practices. In turn, these disparate imaginaries have underwritten very different responses to a variety of nuclear shocks and challenges, such as Three Mile Island (TMI), Chernobyl, and the spread of the anti-nuclear movement. (shrink)

In this paper I use philosophical accounts on the relationship between trust and knowledge in science to apprehend this relationship on the Web. I argue that trust and knowledge are fundamentally entangled in our epistemic practices. Yet despite this fundamental entanglement, we do not trust blindly. Instead we make use of knowledge to rationally place or withdraw trust. We use knowledge about the sources of epistemic content as well as general background knowledge to assess epistemic claims. Hence, although we may (...) have a default to trust, we remain and should remain epistemically vigilant; we look out and need to look out for signs of insincerity and dishonesty in our attempts to know. A fundamental requirement for such vigilance is transparency: in order to critically assess epistemic agents, content and processes, we need to be able to access and address them. On the Web, this request for transparency becomes particularly pressing if (a) trust is placed in unknown human epistemic agents and (b) if it is placed in non-human agents, such as algorithms. I give examples of the entanglement between knowledge and trust on the Web and draw conclusions about the forms of transparency needed in such systems to support epistemically vigilant behaviour, which empowers users to become responsible and accountable knowers. (shrink)

What is the best way to analyse abstraction in scientific modelling? I propose to focus on abstracting as an epistemic activity, which is achieved in different ways and for different purposes depending on the actual circumstances of modelling and the features of the models in question. This is in contrast to a more conventional use of the term ‘abstract’ as an attribute of models, which I characterise as black-boxing the ways in which abstraction is performed and to which epistemological advantage. (...) I exemplify my claims through a detailed reconstruction of the practices involved in creating two types of models of the flowering plant Arabidopsisthaliana, currently the best-known model organism in plant biology. This leads me to distinguish between two types of abstraction processes: the ‘material abstracting’ required in the production of Arabidopsis specimens and the ‘intellectual abstracting’ characterising the elaboration of visual models of Arabidopsis genomics. Reflecting on the differences between these types of abstracting helps to pin down the epistemic skills and research commitments used by researchers to produce each model, thus clarifying how models are handled by researchers and with which epistemological implications. (shrink)

This paper will address the question of the morality of technology. I believe this is an important question for our contemporary society in which technology, especially information technology, is increasingly becoming the default mode of social ordering. I want to suggest that the conventional manner of conceptualising the morality of technology is inadequate – even dangerous. The conventional view of technology is that technology represents technical means to achieve social ends. Thus, the moral problem of technology, from this perspective, is (...) the way in which the given technical means are applied to particular (good or bad) social ends. In opposition to this I want to suggest that the assumed separation, of this approach, between technical means and social ends are inappropriate. It only serves to hide the most important political and ethical dimensions of technology. I want to suggest that the morality of technology is much more embedded and implicit than such a view would suggest. In order to critique this approach I will draw on phenomenology and the more recent work of Bruno Latour. With these intellectual resources in mind I will propose disclosive ethics as a way to make the morality of technology visible. I will give a brief account of this approach and show how it might guide our␣understanding of the ethics and politics of technology by considering two examples of contemporary information technology: search engines and plagiarism detection systems. (shrink)

Universities are knowledge institutions. Compared to several other knowledge institutions (e.g. schools, government research organisations, think tanks), research universities have unusual, anarchic organisational features. We argue that such anarchic features are not a weakness. Rather, they reflect the special standing of research universities among knowledge institutions. We contend that the distributed, self-organising mode of knowledge production maintains a diversity of approaches, topics and solutions needed in frontier research, which involves generating relevant knowledge under uncertainty. Organisational disunity and inconsistencies should sometimes (...) be protected by institutional structures and procedures in order for research universities to best serve their purpose as knowledge institutions. The quality control for the knowledge produced stems from knowledge fields, clusters of knowledge and research that exist beyond the confines of individual organisations. The diversity of epistemic contributions is therefore kept in check by the order imposed by the internal logic of science as a social practice. Our argument provides a new defence for the autonomy of research conducted at universities. (shrink)

Medicine is often thought of as a science of the body, but it is also a science of data. In some contexts, it can even be asserted that data drive health. This article focuses on a key piece of data technology central to contemporary practices of medicine: the medical record. By situating the medical record in the perspective of its history, we inquire into how the kinds of data that are kept at sites of clinical encounter often depend on informational (...) requirements that originate well outside of the clinic, in particular in health insurance records systems. Although this dependency of today's electronic medical records on billing requirements is widely lamented by clinical providers, its history remains little studied. Following the archaeology of medicine developed by Michel Foucault in The Birth of the Clinic and expanding his methodology in light of more recent contributions to the field of media archaeology, this article excavates some of the underexplored technological conditions that help constitute today's electronic medical record. If in some contexts, it is true that data drive health, then an archaeology of medical records helps reveal how health insurance records often impact clinical care and, by extension, health and disease. (shrink)

Machine learning systems have shown great potential for performing or supporting inferential reasoning through analyzing large data sets, thereby potentially facilitating more informed decision-making. However, a hindrance to such use of ML systems is that the predictive models created through ML are often complex, opaque, and poorly understood, even if the programs “learning” the models are simple, transparent, and well understood. ML models become difficult to trust, since lay-people, specialists, and even researchers have difficulties gauging the reasonableness, correctness, and reliability (...) of the inferences performed. In this article, we argue that bridging this gap in the understanding of ML models and their reasonableness requires a focus on developing an improved methodology for their creation. This process has been likened to “alchemy” and criticized for involving a large degree of “black art,” owing to its reliance on poorly understood “best practices”. We soften this critique and argue that the seeming arbitrariness often is the result of a lack of explicit hypothesizing stemming from an empiricist and myopic focus on optimizing for predictive performance rather than from an occult or mystical process. We present some of the problems resulting from the excessive focus on optimizing generalization performance at the cost of hypothesizing about the selection of data and biases. We suggest embedding ML in a general logic of scientific discovery similar to the one presented by Charles Sanders Peirce, and present a recontextualized version of Peirce’s scientific hypothesis adjusted to ML. (shrink)

The Bubonic Plague outbreak that wormed its way through San Francisco’s Chinatown in 1900 tells a story of prejudice guiding health policy, resulting in enormous suffering for much of its Chinese population. This article seeks to discuss the potential for hidden “prejudice” should Artificial Intelligence (AI) gain a dominant foothold in healthcare systems. Using a toy model, this piece explores potential future outcomes, should AI continue to develop without bound. Where potential dangers may lurk will be discussed, so that the (...) full benefits AI has to offer can be reaped whilst avoiding the pitfalls. The model is produced using the computer programming language MATLAB and offers visual representations of potential outcomes. Interwoven with these potential outcomes are numerous historical models for problems caused by prejudice and recent issues in AI systems, from police prediction and facial recognition software to recruitment tools. Therefore, this research’s novel angle, of using historical precedents to model and discuss potential futures, offers a unique contribution. (shrink)

The interventionist turn in science and technology studies increasingly involves researchers with practices of technology development and thus entails the need for appropriate methodologies. Based in software engineering, this article introduces the deconstructive technique of “mind scripting” as a method for analyzing processes of the co-materialization of gender and technology and as a tool to support cooperative, reflective work practices. Anchored in critical design approaches, “mind scripting” is a means for development teams to disclose discourses implicitly guiding work practices in (...) order to make negotiable the underlying value systems. After discussing its foundation in deconstructivist feminist theory, the author illustrates how the method is applied by drawing on selected empirical results. Generating insights into the reproduction of hegemonic social discourses in development processes, “mind scripting” enables the rethinking of established ways of doing. (shrink)

Statistics constitute the social universe of which they are gathered. The foundation necessary to develop quantified knowledge about society is the population. If quantified knowledge changes society, the question arises on how individuals become to be represented as population. The population has to be extracted from individuals in a process that we call “populationisation.” This encompasses the development of the individual into a segment of a population through the compilation of individual data into population data and its analysis. To describe (...) the process of populationisation, we follow a statistical risk assessment tool, the German Diabetes Risk Score, from its inception in a cohort study to its entry into the public sphere of German society. The population is extracted from individuals that function as research subjects through an identification number. Preprocessed information is entered into a dynamic database that enables its rearrangement according to main aggregates. Through populationisation, a signified is enacted that can be sliced up and that is equal in all its parts. Now predictions can be computed and fed back to society as tools of moral judgment. The acting individual and “society” are—numerically and literally!—entangled in the production and enactment of risk knowledge. (shrink)

This article explores human genetic diversity research east of what was the iron curtain. It follows the technique of “genogeographic mapping” back to its early Soviet origins and up to the post-Soviet era. Bringing together the history of genogeographic mapping and genealogies of “nationality” and “race” in the USSR, I discuss how populations and belonging were enacted in late Soviet biological anthropology and human genetics. While genogeography had originally been developed within the early Soviet livestock economy, anthropologists, public health scientists, (...) and medical geneticists reanimated the technique in the late 1960s after the end of the Lysenko era and its ban on classical genetics. In the 1970s, population geneticists pursued a project to compile all genetic data on the USSR population, resulting in a “genogeographic atlas,” consisting of series of tables as well as maps projecting genetic markers onto geographic grids. Following the post-Soviet trajectories of these maps, I examine the ways in which human genetic diversity studies realign with renegotiations of difference in today’s Russian Federation. The exploration of the Soviet case of human genetic diversity research contributes to our understanding of the varied ways in which racializing discourses were entangled in the project of modernization. (shrink)

The US National Institute of Health’s Human Microbiome Project aims to use genomic techniques to understand the microbial communities that live on the human body. The emergent field of microbiome science brought together diverse disciplinary perspectives and technologies, thus facilitating the negotiation of differing values. Here, we describe how values are conceptualized and negotiated within microbiome research. Analyzing discussions from a series of interdisciplinary workshops conducted with microbiome researchers, we argue that negotiations of epistemic, social, and institutional values were inextricable (...) from the reflective and strategic category work that defined and organized the microbiome as an object of study and a potential future site of biomedical intervention. Negotiating the divergence or tension between emerging scientific and regulatory classifications also activated “values levers” and opened up reflective discussions of how classifications embody values and how these values might differ across domains. These data suggest that scholars at the intersections of science and technology studies, ethics, and policy could leverage such openings to identify and intervene in the ways that ethical/regulatory and scientific/technical practices are coproduced within unfolding research. (shrink)

This article focuses on the role of past standards stories and how they are deployed strategically in ways that shape the process of standards creation. It draws upon an ethnographic study over multiple years of standards meetings, discussions, and online activity. Building on existing work that examines how standards are shaped by stories, this study follows the development of Augmented Reality Markup Language and maps how the story of Hypertext Markup Language became the key story that actors utilized and debated (...) to push for participation, agreement, and material development of the standard. The authors present several different ways the recurring HTML story was effective at various points in the process as a diagnostic tool, promissory future, empirical evidence, and confidence building measure. Understanding these strategic deployments serves as an empirical example of how recurring stories of the past can shape standards development. These mappings illustrate how standards can be built on past standards sociologically as well as technologically and also broadens our theoretical tools for understanding the importance of stories in the sociology of standards. (shrink)

It is an axiom of contemporary conversations about austerity and health care that the relationship between the two is essentially direct. Cutting funds damages health care systems and hurts the health of individuals who rely on them. Though this premise has provoked necessary discussion about global politics, the global economy and their impact on individual well-being, it is nonetheless intrinsically problematic. Assigning health and health care as objects of austerity not only obscures the complexity of health care systems and the (...) opacity of health’s definitional borders, but also misunderstands austerity, its manifestations and its significance. The ambition of this essay is to bring health care back into the debate, in order to establish the greater dynamism of the contemporary austerity and health care relationship. This historical reconstruction will challenge the significance of our current situating of austerity as health care’s bogeyman, press for a reconsideration of our contemporary definitions of the key factors involved here and finally conclude with some thoughts on how we might more productively approach the problem of health now. (shrink)