This paper puts forward a theoretical framework for the analysis of expertise and experts in contemporary societies. It argues that while prevailing approaches have come to see expertise in various forms and functions, they tend to neglect the broader historical and societal context, and importantly the relational aspect of expertise. This will be discussed with regard to influential theoretical frameworks, such as laboratory studies, regulatory science, lay expertise, post-normal science, and honest brokers. An alternative framework of expertise is introduced, showing (...) the limitations of existing frameworks and emphasizing one crucial element of all expertise, which is their role in guiding action. (shrink)

Recent scholarship in science, technology, and society has emphasized the neoliberal character of science today. This article draws on the history of US science and technology policy to argue against thinking of recent changes in science as fundamentally neoliberal, and for thinking of them instead as reflecting a process of “economization.” The policies that changed the organization of science in the United States included some that intervened in markets and others that expanded their reach, and were promoted by some groups (...) who were skeptical of free markets and others who embraced them. In both cases, however, new policies reflected growing political concern with “the economy” and related abstractions and a new understanding of S&T as inputs into a larger economic system that government could manipulate through policy. Understanding trends in US S&T policy as resulting from economization, not just neoliberalism, has implications for thinking about the present and likely future of science and S&T policy. (shrink)

The concept of a socially extended mind suggests that our cognitive processes are extended not simply by the various tools and technologies we use, but by other minds in our intersubjective interactions and, more systematically, by institutions that, like tools and technologies, enable and sometimes constitute our cognitive processes. In this article we explore the potential of this concept to facilitate the development of a critical neuroscience. We explicate the concept of cognitive institution and suggest that science itself is a (...) good example. Science, through various practices and rules, shapes our cognitive activity so as to constitute a certain type of knowledge, packaged with relevant skills and techniques. To develop this example, we focus on neuroscience, its cultural impact, and the various institutional entanglements that complicate its influence on reframing conceptions of self and subjectivity, and on defining what questions count as important and what kind of answers will be valued. (shrink)

How are “interesting” research problems identified and made durable by academic researchers, particularly in situations defined by multiple evaluation principles? Building on two case studies of research groups working on rare diseases in academic biomedicine, we explore how group leaders arrange their groups to encompass research problems that latch onto distinct evaluation principles by dividing and combining work into “basic-oriented” and “clinical-oriented” spheres of inquiry. Following recent developments in the sociology of valuation comparing academics to capitalist entrepreneurs in pursuit of (...) varying kinds of worth, we argue that the metaphor of the portfolio is helpful in analyzing how group leaders manage these different research lines as “alternative investment options” from which they were variously hoping to capitalize. We argue portfolio development is a useful concept for exploring how group leaders fashion “entrepreneurial” practices to manage and exploit tensions between multiple matrices of valuation and conclude with suggestions for how this vocabulary can further extend analysis of epistemic capitalism within science and technology studies. (shrink)

This theoretical paper considers the morality of machine learning algorithms and systems in the light of the biases that ground their correctness. It begins by presenting biases not as a priori negative entities but as contingent external referents—often gathered in benchmarked repositories called ground-truth datasets—that define what needs to be learned and allow for performance measures. I then argue that ground-truth datasets and their concomitant practices—that fundamentally involve establishing biases to enable learning procedures—can be described by their respective morality, here (...) defined as the more or less accounted experience of hesitation when faced with what pragmatist philosopher William James called “genuine options”—that is, choices to be made in the heat of the moment that engage different possible futures. I then stress three constitutive dimensions of this pragmatist morality, as far as ground-truthing practices are concerned: the definition of the problem to be solved, the identification of the data to be collected and set up, and the qualification of the targets to be learned. I finally suggest that this three-dimensional conceptual space can be used to map machine learning algorithmic projects in terms of the morality of their respective and constitutive ground-truthing practices. Such techno-moral graphs may, in turn, serve as equipment for greater governance of machine learning algorithms and systems. (shrink)

Capitalist dynamics in knowledge production are not limited to situations in which economic interests influence researchers’ practices. Building on laboratory studies and the French “pragmatic” tradition in sociology, this article proposes an approach to tackle more pervasive capitalist logics at work in contemporary research and their consequences. It uses the term epistemic capitalism to denote the accumulation of capital, as worth made durable, through the act of doing research, in and beyond academia. In doing so, it conceptualizes capitalism primarily not (...) as a system of circulation and accumulation of monetary value but rather as a cultural way of producing, attributing, and accumulating specific forms of worth, which need not be monetary. Empirically, the article studies variants in epistemic capitalism by addressing the differing role of the accumulation of different forms of capital and the regimes connected to it in two institutional settings in Austria, academic life science laboratories and biotechnology start-up companies. Concluding, it argues that analytically dissociating the concept of capitalism from its link to economic value allows a finer-grained cultural analysis of the importance and effects of processes of accumulation in contemporary research. It ends with discussing the normative implications of these findings for debates about the commercialization of academia. (shrink)

In the last decade, the organization of pharmaceutical research on neglected tropical diseases has undergone transformative change. In a context of perceived “market failure,” the development of new medicines is increasingly handled by public-private partnerships. This shift toward hybrid organizational models depends on a particular form of exchange: the sharing of proprietary assets in general and of intellectual property rights in particular. This article explores the paradoxical role of private property in this new configuration of global health research and development. (...) Rather than a tool to block potential competitors, proprietary assets function as a lever to attract others into risky collaborative ventures; instead of demarcating public and private domains, the sharing of property rights is used to increase the porosity of that boundary. This reimagination of the value of property is connected to the peculiar timescape of global health drug development, a promissory orientation to the future that takes its clearest form in the centrality of “virtual” business models and the proliferation of strategies of deferral. Drawing on the anthropological literature on inalienable possessions, we reconsider property’s traditional exclusionary role and discuss the possibility that the new pharmaceutical “commons” proclaimed by contemporary global health partnerships might be the precursor of future enclosures. (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)

Phase I clinical trials are the first stage of testing new pharmaceuticals in humans. The majority of these studies are conducted under controlled, inpatient conditions using healthy volunteers who are paid for their participation. This article draws on an ethnographic study of six phase I clinics in the United States, including 268 semistructured interviews with research staff and healthy volunteers. In it, I argue that an institutional banalization of risk structures the perceptions of research staff and healthy volunteers participating in (...) the studies. For research staff, there are three mechanisms by which risk becomes banal: a perceived homogeneity of studies, Fordist work regimes, and data-centric discourse. For healthy volunteers, repeat study participation contributes to the institutional banalization of risk both through the process of desensitization to risk and the formation of trust in the clinics. I argue that the institutional banalization of risk also renders invisible ethical concerns about exploitation of underprivileged groups in pharmaceutical research. (shrink)

In recent decades, philosophers of science have become increasingly concerned with the social dimensions of scientific knowledge. Philosophers such as Helen Longino, Philip Kitcher, Miriam Solomon, Heather Douglas, and Janet Kourany have sought to incorporate the social aspects of science, while retaining the normative commitments of philosophy of science. Some of the major theoretical approaches in social epistemology of science, however, tend to ignore or underestimate the role that the current state of science organization plays in the production of scientific (...) knowledge.1 The world has changed significantly in recent decades, and science has changed with it. The.. (shrink)

The rapid, recent emergence of new medical knowledge models has engendered a dizzying number of new medical initiatives, programs and approaches. Fields such as evidence-based medicine and translational medicine all promise a renewed relationship between knowledge and medicine. The question for philosophy and other fields has been whether these new models actually achieve their promises to bring about better kinds of medical knowledge—a question that compels scholars to analyze each model’s epistemic claims. Yet, these analyses may miss critical components that (...) explain how these models actually work and function. Using the case of translational medicine, this paper suggests that analyses which treat these models as a primarily epistemic interventions miss the way that new approaches are increasingly shaped by specific financial and commercial agendas. Ultimately, social epistemological analyses that are attentive to market forces are required to make sense of emerging bioscientific research models, which are increasingly tethered to or a manifestation of increasingly financialized models of science research and innovation. (shrink)

The alleged emergence of a ‘post-truth’ regime links the rise of new forms of social media and the reemergence of political populism. Post-truth has theoretical roots in the interdisciplinary field of Science and Technology Studies, with sociologists of science arguing that both true and false claims should be explained by the same kinds of social causes. Most STS theorists have sought to deflect blame for post-truth, while at the same time enacting a normative turn, looking to deconstruct truth claims and (...) subject expertise to criticism. Steve Fuller has developed a positive case for post-truth in science, arguing that post-truth democratizes science. I criticize this argument and suggest an alternative approach that draws on the prehistory of the field in the 1930s and 1940s, when philosophers and sociologists sought to define the social conditions necessary for reliable knowledge production that might stem mass media irrationalism. (shrink)

Science and technology policy is both faced by unprecedented challenges and itself undergoing seismic shifts. First, policy is increasingly demanding of science that it fixes a set of epochal and global crises. On the other hand, practices of scientific research are changing rapidly regarding geographical dispersion, the institutions and identities of those involved and its forms of knowledge production and circulation. Furthermore, these changes are accelerated by the current upheavals in public funding of research, higher education and technology development in (...) the wake of the economic crisis. The paper outlines an agenda for science & technology policy studies in terms of a research programme of a ‘cultural political economy of research and innovation’ (CPERI). First, the implications of the overlapping crises for science policy analysis are discussed. Secondly, three rough constellations of contemporary approaches to science policy are critically compared, namely: a techno-statist Keynesian governance; a neoliberal marketplace of ideas; and co-productionist enabling of democratic debate. CPERI is then introduced, showing how it builds on the strengths of co-production while also specifically targeting two major weaknesses that are of heightened importance in an age of multiple crises, namely neglect of political economy and the concept of power. (shrink)

In 1962, the publication of Thomas Kuhn’s Structure ‘revolutionized’ the way one conducts philosophical and historical studies of science. Through the introduction of both memorable and controversial notions, such as paradigms, scientific revolutions, and incommensurability, Kuhn argued against the traditionally accepted notion of scientific change as a progression towards the truth about nature, and instead substituted the idea that science is a puzzle solving activity, operating under paradigms, which become discarded after it fails to respond accordingly to anomalous challenges and (...) a rival paradigm. Kuhn’s Structure has sold over 1.4 million copies and the Times Literary Supplement named it one of the “Hundred Most Influential Books since the Second World War.” Now, fifty years after this groundbreaking work was published, this volume offers a timely reappraisal of the legacy of Kuhn’s book and an investigation into what Structure offers philosophical, historical, and sociological studies of science in the future. (shrink)

In recent decades, academic science has increasingly been directed toward commercializable ends by neoliberal governments. In this article, I outline a concern that academic scientists have not been consulted about the transformation of science, but nevertheless, in some ways accept commercialization as the way things are done. I focus on the ways in which academic scientists attempt to exercise agency, albeit within the parameters of the neoliberal knowledge economy. In this economy, scientific inquiry has transformed to be focused more on (...) producing marketable products. In order to explore the parameters of scientists’ agency in the context of that transformation, I first elaborate on the idea of agency’s “parameters” and argue that the literature on commercialization lacks attention to how researchers’ agency is encouraged and discouraged in the context of academic research in the United States and Canada; second, I make a case for using the concept of hegemony to understand the ideas and practices of contemporary science; third, I propose a methodological direction that can attend to researchers’ agency in the contemporary context of the neoliberal knowledge economy. (shrink)

In the current research landscape, there are increasing demands for research to be innovative and cutting-edge. At the same time, concerns are voiced that as a consequence of neoliberal regimes of research governance, innovative research becomes impeded. In this paper, I suggest that to gain a better understanding of these dynamics, it is indispensable to scrutinise current demands for innovativeness as a distinct way of ascribing worth to research. Drawing on interviews and focus groups produced in a close collaboration with (...) three research groups from the crop and soil sciences, I develop the notion of a project-innovation regime of valuation that can be traced in the sphere of research. In this evaluative framework, it is considered valuable to constantly re-invent oneself and take ‘first steps’ instead of ‘just’ following up on previous findings. Subsequently, I describe how these demands for innovativeness relate to and often clash with other regimes of valuation that matter for researchers’ practices. I show that valuations of innovativeness are in many ways bound to those of productivity and competitiveness, but that these two regimes are nevertheless sometimes in tension with each other, creating a complicated double bind for researchers. Moreover, I highlight that also the project-innovation regime as such is not always in line with what researchers considered as a valuable progress of knowledge, especially because it entails a de-valuation of certain kinds of long-term epistemic agendas. I show that prevailing pushes for innovativeness seem to be based on a rather short-sighted temporal imaginary of scientific progress that is hardly grounded in the complex realities of research practices, and that they can reshape epistemic practices in potentially problematic ways. (shrink)

In the 1950s and 1960s, prominent institutional economists in the United States offered what became the orthodox theory on the obstacles to commercializing scientific knowledge. According to this theory, scientific knowledge has inherent qualities that make it a public good. Since the 1970s, however, neoliberalism has emphasized the need to convert public goods to private goods to enhance economic growth, and this theory has had global impacts on policies governing the generation and diffusion of scientific research and innovation. We critique (...) the foundational conceptualizations of scientific knowledge as either public or private by examining Germany’s treatment of scientific outputs as club goods. We then compare the relative impacts on social welfare of distinct United States and German approaches to food and agricultural research and innovation. We conclude with reflections on how these findings might contribute to a democratic debate on how best to manage scientific knowledge to enhance social welfare. (shrink)

Many research-intensive universities have moved into the business of promoting technology development that promises revenue, impact, and legitimacy. While the scholarship on academic capitalism has documented the general dynamics of this institutional shift, we know less about the ground-level challenges of research priority and scientific problem choice. This paper unites the practice tradition in science and technology studies with an organizational analysis of decision-making to compare how two university artificial intelligence labs manage ambiguities at the edge of scientific knowledge. One (...) lab focuses on garnering funding through commercialization schemes, while the other is oriented to federal science agencies. The ethnographic comparison identifies the mechanisms through which an industry-oriented lab can be highly adventurous yet produce a research program that is thin and erratic due to a priority placed on commercialization. However, the comparison does not yield an implicit nostalgia for federalized science; it reveals the mechanisms through which agency-oriented labs can pursue a thick and consistent research portfolio but in a strikingly myopic fashion. (shrink)

Recently, some philosophers of science (e.g., Gürol Irzik, Michael Friedman) have challenged the ‘received view’ on the relationship between Rudolf Carnap and Thomas Kuhn, suggesting that there is a close affinity (rather than opposition) between their philosophical views. In support of this argument, these authors cite Carnap and Kuhn’s similar views on incommensurability, theory-choice, and scientific revolutions. Against this revisionist view, I argue that the philosophical relationship between Carnap and Kuhn should be regarded as opposed rather than complementary. In particular, (...) I argue that a consideration of the fundamentally disparate nature of the broader philosophical projects of Carnap (logic of science) and Kuhn (providing a theory of scientific revolutions)renders the alleged similarities between their views superficial in comparison to their fundamental differences. In defense of the received view, I suggest that Carnap and Kuhn are model representatives of two contrasting styles of doing philosophy of science, viz., logical analysis and historical analysis respectively. This analysis clarifies the role played by Kuhn’s Structure of Scientific Revolutions in the demise of logical empiricism in the second half of the twentieth-century. (shrink)

In the past few years, social epistemologists have developed several formal models of the social organisation of science. While their robustness and representational adequacy has been analysed at length, the function of these models has begun to be discussed in more general terms only recently. In this article, I will interpret many of the current formal models of the scientific community as representing the latest development of what I will call the ‘Kuhnian project’. These models share with Kuhn a number (...) of questions about the relation between individuals and communities. At the same time, they also inherit some of Kuhn’s problematic characterisations of the scientific community. In particular, current models of the social organisation of science represent the scientific community as essentially value-free. This may put into question both their representational adequacy and their normative ambitions. In the end, it will be shown that the discussion on the formal models of the scientific community may contribute in fruitful ways to the ongoing debates on value judgements in science. (shrink)

Why do corporations and wealthy philanthropists fund the human sciences? Examining the history of the Santa Fe Institute (SFI), a private research institute founded in the early 1980s, this article shows that funders can find as much value in the social worlds of the sciences they sponsor as in their ideas. SFI became increasingly dependent on funding from corporations and libertarian business leaders in the 1990s and 2000s. At the same time, its intellectual work came to focus on the underlying (...) principles of adaptation, innovation, and decentralized coordination supposedly at work in ‘complex systems’ from biological ecosystems to markets and firms. This research cast the ideas of the libertarian economist Friedrich Hayek into a new scientific idiom. SFI also became a space where figures in business, media, academia, and politics could come to learn to see the world in a particular way—to acquire the subjectivity of what I call ‘the Santa Fe Institute libertarian’. At SFI, visitors did not simply learn the principles of neo-Hayekian complex system science. They came to see themselves as agents of social evolution, providing the spark that the free-market system needed to produce new technologies and new solutions to social problems without top-down political direction. For the Institute's corporate and libertarian financiers, SFI was not just a space where intellectuals described the world in favored ideological terms, but a space where elite actors became committed to the project of making a new political-economic order. (shrink)

A wide array of phenomena lumped together under the rubric of the ?commercialization of science,? the ?commodification of research,? and the ?marketplace of ideas? are both figuratively and literally Ponzi schemes. This thesis grows out of my experience of working on two concurrent projects: the first, an attempt to understand the forces behind the progressive commercialization of science; and the second, when it dawned upon me that the financial crisis then unfolding was resulting in the deepest worldwide economic contraction since (...) the Great Depression of the 1930s. This lecture explores the parallels in three different areas: the biotech sector, technology transfer offices at major universities, and possible decline of numbers of American-authored papers in major science journals. (shrink)

Key to Steve Fuller’s recent defense of intelligent design is the claim that it alone can explain why science is even possible. By contrast, Fuller argues that Darwinian evolutionary theory posits a purposeless universe leaving humans with no motivation to study science and no basis for modifying an underlying reality. I argue that this view represents a retreat from insights about knowledge within Fuller’s own program of social epistemology. I argue for a Darwinian picture of science as a product of (...) cultural evolution building upon biological capabilities and liabilities bequeathed to us by biological evolution. Dual Inheritance or Gene-Culture Coevolution Theory can help us understand how complex social institutions emerged out of distinct, if connected, processes of biological and cultural evolution. Only by understanding how the unnatural nature of modern science emerged through cultural evolution can we consider where modern science functions well or poorly. (shrink)

Original research is of course what scientists are expected to do. Therefore the research project is in many ways the unit of science in the making: it is the center of the professional life of the individual scientist and his coworkers. It is also the means towards the culmination of their specific activities: the original publication they hope to contribute to the scientific literature. The scientific project should therefore be of central interest to all the students of science, particularly the (...) philosophers and sociologists of science. We shall focus on the preliminary evaluation of research projects—the specific task of referees—and will emphasize the problem of their scientificity—the chief concern of scientific gatekeepers. In the past such an examination aimed only at protecting the taxpayer from swindlers and incompetent amateurs, such as the inventors of continuous motion artifacts. In recent times a similar issue has resurfaced with regard to some of the most prestigious and most handsomely funded projects, namely work on string theory and many-worlds cosmology. Indeed, some of their faithful have claimed that these theories are so elegant, and so full of high-grade mathematics, that they should be exempted from empirical tests. This claim provoked the spirited rebuttal of the well-known cosmologists Ellis and Silk, which the present paper is intended to reinforce. Indeed, we shall try to show why empirical testability is necessary though insufficient for a piece of work to qualify as scientific. Finally, the present paper may also be regarded as an indirect contribution to the current debate over the reliability of quantitative indicators of scientific worth, such as the h-index of scientific productivity. But we shall touch only tangentially on the sociological, political, and economics of research teams: our focus will be the acquisition of new scientific knowledge. (shrink)

As efforts to commercialize university research outputs continue, critics charge that universities and university scientists are failing to live up to their public-interest purpose. In this paper, I discuss the distinctions between public-interest and private-interest research institutions and how commercialization of university science may be undermining the public interest. I then use Jürgen Habermas’s concept of communicative action as the foundation for efforts to establish public spaces for ethical deliberation among scientists and university administrators. Such ethical deliberation is necessary to (...) facilitate discussion on whether public-interest science should be the research university’s primary purpose and what institutional rules and resources are needed to honor that purpose. (shrink)

Steve Fuller has replied to my critique of his endorsement of a post-truth epistemology. I trace the divergence in our approach to social epistemology by examining our distinct responses to the principle of symmetry in the sociology of scientific knowledge. Fuller has extended the concept of symmetry and challenged the field to embrace a post-truth condition that flattens the difference between experts and the public. By contrast, I have criticized the concept of symmetry for policing the field to rule ideology (...) critique out of court. I argue that a focus on post-truth populism obscures the role of counter-elites and ideologies that restrict political choice. A better way to promote democracy would be to support minority positions within science that promise to open up suppressed political possibilities and to seek the coordinated use of different disciplines to address significant public problems. (shrink)

In scientific work, sonification is primarily thought of as a novel way to communicate post hoc research findings to lay audiences but only rarely, if ever, as a component of the research itself. This article argues that, rather than any inherent epistemological limitations of sound as a medium of scientific reasoning, this framing reflects a sociohistorical tendency to “silence” experimental techniques as they become widely adopted—both in terms of the literal silencing of noisy instrumentation and the elision of the role (...) of sound in received discovery accounts. This tendency is well-illustrated by the history of electrophysiology research, particularly the case of the electrical penetration graph, an instrument used by entomologists to study how insects feed on plants. Combining participant observation, interviews, and analysis of EPG technical literature, this article recovers the unacknowledged role of sound in EPG’s exploratory stages and gradual emergence as a standard laboratory technique as well as its gradual silencing as a consequence of this standardizing process. (shrink)

Entrepreneurs of contested commodities often face stakeholders engaged in market excluding boundary work driven by ethical considerations. For example, the conversion of academic scientific knowledge into technologies that can be owned and sold is a growing global trend and key stakeholders have different ethical responses to this contested commodity. Commercialization of science can be viewed as a good thing because people believe it bolsters economic growth and broadly benefits society. Others view it as bad because they believe it discourages basic (...) research that ought to be freely shared without concern for profit. Taking a descriptive sociological approach, we posit that the stance of a religious tradition toward capitalism will help shape individual scientists’ views on science commercialization and test whether the religious tradition of scientists correlates with their attitude toward the commercialization of science. To maximize variance on the religious tradition dimension, we analyze pooled data from a cross-national survey of university biologists and physicists encompassing France, Hong Kong, India, Italy, Taiwan, Turkey, UK and the USA. We indeed find religious tradition differences. Hindus and scientists with no religious tradition are more likely to agree that commercialization of science “harms a university’s commitment to knowledge production” than Protestants. We end with a discussion on business ethics and the moral limits of the market as well as implications for entrepreneurs of contested commodities. (shrink)

The bioeconomy is becoming increasingly prominent in policy and scholarly literature, but critical examination of the concept is lacking. We argue that the bioeconomy should be understood as a political project, not simply or primarily as a technoscientific or economic one. We use a conceptual framework derived from the work of Karl Polanyi to elucidate the politically performative nature of the bioeconomy through an analysis of an influential Organization for Economic Cooperation and Development initiative, The Bioeconomy to 2030. We argue (...) that this initiative is a response to some of the most acute challenges facing the current neoliberal-capitalist accumulation regime, which seeks to protect and extend that regime, through both what it occludes and what it promotes. Rather than taking the bioeconomy as a description of some subset of economic activity, we regard it as a promissory construct that is meant to induce and facilitate some actions while deterring others; most explicitly, it is meant to bring about a particular set of political–institutional changes that will shape the parameters of possible future action. The bioeconomy concept highlights the potential dangers of failing to situate ethnographic examinations of horizontal micro-relations within a political–economic macro-context that enables and constrains. Scholarly work in science and technology studies and elsewhere that does not recognize the wider politics of the bioeconomy risks unintentionally contributing to the legitimation of this political project. (shrink)

In this article, I draw on ethnographic research to show how a particular ethos and worldview get produced in the context of “technical” education in a department of nanoengineering. Building on feminist science studies and communication theory, I argue that the curriculum introducing undergraduate students to scale implicitly teaches them an abstract and universal notion that smaller is better. I suggest that rather than smaller is better, a perspective that embraces context and specificity—such as the question “when, how, and for (...) whom is smaller better?”—would ground nanoengineering in a more reflexive, pluralistic, and democratically oriented mode of world-building. (shrink)

The emergence of vibrant research communities of computer scientists in Kenya and Uganda has occurred in the context of neoliberal privatization, commercialization, and transnational capital flows from donors and corporations. We explore how this funding environment configures research culture and research practices, which are conceptualized as two main components of a research community. Data come from a three-year longitudinal study utilizing interview, ethnographic and survey data collected in Nairobi and Kampala. We document how administrators shape research culture by building academic (...) programs and training growing numbers of PhDs, and analyze how this is linked to complicated interactions between political economy, the epistemic nature of computer science and sociocultural factors like entrepreneurial leadership of key actors and distinctive cultures of innovation. In a donor-driven funding environment, research practice involves scientists constructing their own localized research priorities by adopting distinctive professional identities and creatively structuring projects. The neoliberal political economic context thus clearly influenced research communities, but did not debilitate computing research capacity nor leave researchers without any agency to carry out research programs. The cases illustrate how sites of knowledge production in Africa can gain some measure of research autonomy, some degree of global competency in a central arena of scientific and technological activity, and some expression of their regional cultural priorities and aspirations. Furthermore, the cases suggest that social analysts must balance structure with culture, place and agency in their approaches to understanding how funding and political economy shape scientific knowledge. (shrink)

A rise of academic capitalism over the past four decades has been well documented within many research-intensive universities. Largely missing, however, are in-depth studies of how particularly situated academic groups manage the uncertainties that come with intermittent and fickle commercial funding streams in their daily research practice and problem choice. To capture the strategies scientists adopt under these conditions, this article provides an ethnographically detailed (and true) story about how a single project in Artificial Intelligence grew over several years from (...) a peripheral idea to the very center of an academic lab’s commercial portfolio. The analysis theorizes an epistemic form—nimble knowledge production—and documents three of its lab-level features: 1) rapid prototyping to keep sunk costs low, 2) shared search for “real world problems” rather than “theoretical” ones, and 3) nimble commitment to research problem choice. While similar forms of academic knowledge transfer have been lauded as “mode 2,” “innovative,” or “hybrid” for initiating cross-institutional collaboration and pushing science beyond disciplinary silos, this case suggests it can rely on fleeting attention to problems resistant to a quick fix. (shrink)

This paper examines regulatory responses to the presence of previously undetected and unlabelled nanoparticles in the Australian food system. Until 2015, the Australian regulatory body Food Standards Australia New Zealand denied that nanoparticles were present in Australian food. However, and despite repeated claims from Australia’s food regulator, research commissioned by civil society group Friends of the Earth has demonstrated that nanoparticles are deliberately included as ingredients in an array of food available for sale in Australia. This paper critically examines how (...) nanoparticles have come to be integrated into Australia’s food system under the radar of Australia’s food regulator. Our case study of FSANZ—including its responses to the civil society-led science that determined the existence of nanoparticles in Australian food—raises a number of important questions about the governance of risk in relation to emerging technologies such as nanotechnology. In this paper, we argue that FSANZ’ response to the presence of nanotechnology in Australia’s food system is an example of ‘governing with ignorance’. This is demonstrated via the denial and dismissal of science claims as a basis for limited regulatory intervention. FSANZ’ response intersects with the centrality of commercial interests in shaping science research and commercialisation, alongside the ‘hands off’ approach to regulation that is characteristic of neoliberal governance approaches. We conclude by arguing that in the current food governance framework, and alongside a paucity of impact science, civil society plays a vital role in attempts to democratise the Australian food system. (shrink)

In response to and as an elaboration on Robert Frodeman and Adam Briggle’s Socrates Tenured, I wish to recognize the notion of practical philosophers as both public intellectuals and as those who may find refuge in the academy in order to shed the pretense of expertise, on the one hand, and the esoteric engagement with topics irrelevant to the affairs of contemporary culture, on the other.

This essay argues that taking the economy seriously in histories of science could not only extend the range of activities studied but also change—often quite radically—our understanding of well-known cases and instances in twentieth-century science. It shows how scientific intellectuals and historians of science have followed the money as a means of critique of particular forms of science and of particular conceptions of science. It suggests the need to go further, to a much broader implicit definition of what constitutes science—one (...) that implies a criticism of much history of twentieth-century science for defining it implicitly and inappropriately in very restrictive ways. (shrink)

The idea that there exists a natural relationship between intellectual freedom, legitimate political authority and enjoyment of a dignified life was central to the European Enlightenment and to the...

Peer-review is neither reliable, fair, nor a valid basis for predicting ‘impact’: as quality control, peer-review is not fit for purpose. Endorsing the consensus, I offer a reframing: while a normative social process, peer-review also shapes the writing of a scientific paper. In so far as ‘cognition’ describes enabling conditions for flexible behavior, the practices of peer-review thus constrain knowledge-making. To pursue cognitive functions of peer-review, however, manuscripts must be seen as ‘symbolizations’, replicable patterns that use technologically enabled activity. On (...) this bio-cognitive view, peer-review constrains knowledge-making by writers, editors, reviewers. Authors are prompted to recursively re-aggregate symbolizations to present what are deemed acceptable knowledge claims. How, then, can recursive re-embodiment be explored? In illustration, I sketch how the paper’s own content came to be re-aggregated: agonistic review drove reformatting of argument structure, changes in rhetorical ploys and careful choice of wordings. For this reason, the paper’s knowledge-claims can be traced to human activity that occurs in distributed cognitive systems. Peer-review is on the frontline in the knowledge sector in that it delimits what can count as knowing. Its systemic nature is therefore crucial to not only discipline-centered ‘real’ science but also its ‘post-academic’ counterparts. (shrink)

Is Translational Science and Medicine new? Its dramatic expansion has spelled a dizzying array of new disciplines, departments, buildings, and terminology. Yet, without novel theories or concepts, Translational Science and Medicine may appear to be nothing more than an old concept with a new brand. Yet, is this view true? As is illustrated herein, histories of TSM which treat it as merely an old product under a new name misunderstand its essential architecture. As an expressly economic transformation, modern translational approaches (...) are differentiated precisely by a set of semi-permanent architectures which render it an altogether different kind of object when compared to previous attempts by institutions to turn science into medicine. Powered by new software, embedded within campuses that now house companies, and with legal agreements that outline agreed-upon scientific activity, TSM is now powered by a set of robust and durable structures that differentiate it from previous approaches. Based on ethnographic research about translational neuroscience in North America, this paper suggests that the sense of TSM as not being new is a consequence of analytic modes that tend to see scientific enterprises in epistemic terms alone. Analyzing TSM as primarily a scientific object misses the fact that it is a principally a financial one. (shrink)

This article aims at a critical reevaluation of the trading zone concept. It starts from a case study of the Faraday–Whewell collaboration in coming to terms with electrolysis experiments. The case is supposed to be an example of a trade zone of science/philosophy interaction though it demonstrates the unequal nature of the “trade.” This requires the analysis to log in some details concerning Galison’s metaphor of trading zones, which reveals its market-oriented connotations. The following criticism of the market metaphor for (...) science applies a revised version of Boris Hessen’s argument against misinterpretation of technology by some British scientists. A closer look at the ancient trade rituals in Marcel Mauss’ seminal work enables discovering another cultural pattern for describing scientific communication as opposed to trade—gift. This helps picture science as a distribution of social roles and statuses and uncovers the normative and value dimension of gift zones language. (shrink)

ArgumentRecent studies of patents have argued that the very materiality and techniques of legal media, such as the written patent document, are vital for the legal construction of a patentable invention. Developing the centrality placed on patent documents further, it becomes important to understand how these documents are ordered and mobilized. Patent classification answers the necessity of making the virtual nature of textual claims practicable by linking written inscription to bureaucracy. Here, the epistemological organization of documents overlaps with the grid (...) of patent administration. How are scientific inventions represented in such a process? If we examine the process of creating a new patent category within the International Patent Classification (IPC), it becomes clear that disagreements about the substance of the novel inventive subject matter have been resolved by computer simulations of patent documents in draft classifications. The practical needs of patent examiners were the most important concerns in the making of a new category. Such a lack of epistemological mediation between the scientific and legal identities of an invention depicts a legal understanding that science is already inside patent law. From an internal legal perspective, the self-referential introduction of the new patent category may make practical sense; however it becomes problematic from a technological and scientific standpoint as the remit of the patent classification also affects other social contexts and practices. (shrink)

One approach to science treats science as a cognitive accomplishment of individuals and defines a scientific community as an aggregate of individual inquirers. Another treats science as a fundamentally collective endeavor and defines a scientist as a member of a scientific community. Distributed cognition has been offered as a framework that could be used to reconcile these two approaches. Adam Toon has recently asked if the cognitive and the social can be friends at last. He answers that they probably cannot, (...) posing objections to the would-be rapprochement. We clarify both the animosity and the tonic proposed to resolve it, ultimately arguing that worries raised by Toon and others are uncompelling. (shrink)

This essay is a think piece that takes a labor and capital perspective on science to discuss two chief concepts: credit and exploitation. Credit, as the symbolic currency of science, has been central to how we understand the moral workings of science in the twentieth century. But our lived experience of changes in the political economy of science also alerts us to the notion that credit may not be applicable to a robust analysis of science in the past and in (...) the present. Scientific exploitation, the evidence of which usually prompts an effort to redistribute credit, may offer only a partial picture of the labor structure of science. Self-exploitation, an implicit understanding of how scientists may approach their work, has never been fully articulated but is nevertheless a useful descriptive notion. (shrink)

The commercialization of academic science has come to be understood as economically desirable for institutions, individual researchers, and the public. Not surprisingly, commercial activity, particularly that which results from patenting, appears to be producing changes in the standards used to evaluate scientists’ performance and contributions. In this context, concerns about a gender gap in patenting activity have arisen and some have argued for the need to encourage women to seek more patents. They believe that because academic advancement is mainly dependent (...) on productivity (Stuart and Ding in American Journal of Sociology 112:97–144, 2006 ; Azoulay et al. in Journal of Economic Behavior & Organization 63:599–623, 2007 ), differences in research output have the power to negatively impact women’s careers. Moreover, in the case of patenting activity, they claim that the gender gap also has the potential to negatively affect society. This is so because scientific and technological advancement and innovation play a crucial role in contemporary societies. Thus, women’s more limited involvement in the commercialization of science and technology can also be detrimental to innovation itself. Nevertheless, calls to encourage women to patent on grounds that such activity is likely to play a significant role in the betterment of both women’s careers and society seem to be based on two problematic assumptions: (1) that the methods to determine women’s productivity in patenting activities are an appropriate way to measure their research efforts and the impact of their work, and (2) that patenting, particularly in academia, benefits society. The purpose of this paper is to call into question these two assumptions. (shrink)