What is an environmental problem? Philosophers of science and sociologists of knowledge have been writing for more than a decade about the de-centred, multiple object. Yet what if this insight were applied to the realm of environmental problems? What would be revealed? These questions are explored in this paper by examining the ontology of environmental problems. Ethnomethodologists, social constructionists, and sociologists of knowledge have all painted a descriptive picture of a thoroughly sociological ontology; an ontology that is fluid, at times (...) de-centred, and multiple. Yet if ontology is social, and thus multiple, than it is also ultimately political. But multiplicity need not imply fragmentation. It can be coherent, but this requires both coordination and trust. To give further visual and conceptual shape to this argument a heuristic model is constructed. Through this model I 'map' a handful of environmental problems – in terms of their 'complexity' and 'epistemological distance' – and in doing so give focus to the ontologically diverse nature of environmental problems today. A case study involving a particularly contentious environmental dispute is then examined so as to give the argument additional focus and an empirical grounding. (shrink)

This paper aims to contribute to the attempts to clarify and classify the vague notion of “technosciences” from a historical perspective. A key question that is raised is as follows: Does Francis Bacon, one of the founding fathers of the modern age, provide a hitherto largely undiscovered programmatic position, which might facilitate a more profound understanding of technosciences ? The paper argues that nearly everything we need today for an ontologically well-informed epistemology of technoscience can be found in the works (...) of Bacon—this position will be called epistemological real - constructivism. Rather than realist or constructivist, empiricist or rationalist, Bacon’s position can best be understood as real-constructivist since it challenges modern dichotomies. Reflection upon the contemporary relevance of Bacon could contribute to the expanding and critical discussion on technoscience. In the following I will reconstruct the term “technoscience”. My finding is that at least four different understandings or types of the term “technoscience” co-exist. In a second step, I will analyze and elaborate on Bacon’s epistemological position. I will identify central elements of the four different understandings in Bacon’s work. Finally, I will conclude that the epistemology of technoscience is, indeed, very old—it is the epistemological position put forward by Bacon. (shrink)

Earth system science (ESS) and modelling have given rise to a new conceptual framework in the recent decades, which goes much beyond climate science. Indeed, Earth system science and modelling have the ambition “to build a unified understanding of the Earth”, involving not only the physical Earth system components (atmosphere, cryosphere, land, ocean, lithosphere) but also all the relevant human and social processes interacting with them. This unified understanding that ESS aims to achieve raises a number of epistemological issues about (...) interdisciplinarity. We argue that the interdisciplinary relations in ESS between natural and social / human sciences are best characterized in terms of what is called ‘scientific imperialism’ in the literature and we show that this imperialistic feature has some detrimental epistemic and non-epistemic effects, notably when addressing the issue of values in ESS. This paper considers in particular the core ESS concepts of Anthropocene, planetary boundaries and tipping points in the light of the philosophy of science discussions on interdisciplinarity and values. We show that acknowledging the interconnections between interdisciplinarity and values suggests ways for ESS to move forward in view of addressing the climate and environmental challenges. (shrink)

A cognitive ethnography of how bioengineering scientists create innovative modeling methods. In this first full-scale, long-term cognitive ethnography by a philosopher of science, Nancy J. Nersessian offers an account of how scientists at the interdisciplinary frontiers of bioengineering create novel problem-solving methods. Bioengineering scientists model complex dynamical biological systems using concepts, methods, materials, and other resources drawn primarily from engineering. They aim to understand these systems sufficiently to control or intervene in them. What Nersessian examines here is how cutting-edge bioengineering (...) scientists integrate the cognitive, social, material, and cultural dimensions of practice. Her findings and conclusions have broad implications for researchers in philosophy, science studies, cognitive science, and interdisciplinary studies, as well as scientists, educators, policy makers, and funding agencies. In studying the epistemic practices of scientists, Nersessian pushes the boundaries of the philosophy of science and cognitive science into areas not ventured before. She recounts a decades-long, wide-ranging, and richly detailed investigation of the innovative interdisciplinary modeling practices of bioengineering researchers in four university laboratories. She argues and demonstrates that the methods of cognitive ethnography and qualitative data analysis, placed in the framework of distributed cognition, provide the tools for a philosophical analysis of how scientific discoveries arise from complex systems in which the cognitive, social, material, and cultural dimensions of problem-solving are integrated into the epistemic practices of scientists. Specifically, she looks at how interdisciplinary environments shape problem-solving. Although Nersessian’s case material is drawn from the bioengineering sciences, her analytic framework and methodological approach are directly applicable to scientific research in a broader, more general sense, as well. (shrink)

This paper proposes epistemic environmentalism as a novel framework for accounting for the contribution of the environment – broadly construed – to epistemic standings and which can be used to improve or protect epistemic environments. The contribution of the environment to epistemic standings is explained through recent developments in epistemology and cognitive science, including embodied cognition, embedded cognition, extended cognition and distributed cognition. The paper examines how these developments support epistemic environmentalism, as well as contributes theoretical resources to make epistemic (...) assessments of dynamic environments. The epistemic environmentalist procedure from the assessment of an individual environment to changes made to that environment based on promoting the attainment of epistemic goods is also discussed. (shrink)

Distributed cognition refers to processes which are (i) cognitive and (ii) distributed across multiple agents or devices rather than performed by a single agent. Distributed cognition has attracted interest in several fields ranging from sociology and law to computer science and the philosophy of science. In this paper, I discuss distributed cognition from a social-choice-theoretic perspective. Drawing on models of judgment aggregation, I address two questions. First, how can we model a group of individuals as a distributed cognitive system? Second, (...) can a group acting as a distributed cognitive system be ‘rational’ and ‘track the truth’ in the outputs it produces? I argue that a group’s performance as a distributed cognitive system depends on its ‘aggregation procedure’ – its mechanism for aggregating the group members’ inputs into collective outputs – and I investigate the properties of an aggregation procedure that matter. (shrink)

The presented paper addresses the concept of technoscience and its possible implications for technology assessment. Drawing on the discourse about converging technologies, it formulates the assumption that a general shift within science from epistemic cultures to techno-epistemic cultures lies at the heart of the propagated convergence between nano-, bio-, info- and cogno-sciences and technologies. This shift is adequately captured—so the main thesis—by the technoscience label. The paper elaborates on the shared characteristics of the new technosciences, especially their hybrid character and (...) their non-linear integration of basic research, object construction and technological innovation. Recent calls for new modes of technology governance (e.g. for upstream technology assessment and public participation) are discussed against the background of these technoscience characteristics. It is concluded that an adequate model of emerging technosciences and a detailed understanding of their characteristics is of paramount importance for current practices of technology assessment. (shrink)

Technoscience and technology assessment Content Type Journal Article DOI 10.1007/s10202-010-0080-8 Authors Karen Kastenhofer, Austrian Academy of Sciences Institute of Technology Assessment Strohg. 45/5 1030 Wien Austria Doris Allhutter, Austrian Academy of Sciences Institute of Technology Assessment Strohg. 45/5 1030 Wien Austria Journal Poiesis & Praxis: International Journal of Technology Assessment and Ethics of Science Online ISSN 1615-6617 Print ISSN 1615-6609 Journal Volume Volume 7 Journal Issue Volume 7, Numbers 1-2.

While in medicine, comparison of the data supplied by a clinical syndrome with the data supplied by the biological system is used to arrive at the most accurate diagnosis, the same cannot be said of financial economics: the accumulation of statistical results that contradict the Brownian hypothesis used in risk modelling, combined with serious empirical problems in the practical implementation of the Black-Scholes-Merton model, the benchmark theory of mathematical finance founded on the Brownian hypothesis, has failed to change the Brownian (...) representation, which has endured for more than fifty years despite the extent of its invalidation by experience. Without any statistical foundations, one mathematical representation has become the established approach, acting in the minds of practitioners as a “prenotion” in the sense the word is used by Durkheim, i.e. a “schematic, summary representation” which has produced a kind of spontaneous epistemology. The question arises of the persistence of this mathematical representation, which has been the basis for every financial risk modelling approach: how can its long life be explained? How was this spontaneous epistemology formed, and why did it prove to be so persistent? To address this question and offer an answer, I will test the various dynamics of scientific knowledge used with reference to financial modelling. All these dynamics are specific ways of describing the relationship between knowledge of a phenomenon and the phenomenon itself. Observing that it is impossible for the positivist approach to solve the financial puzzle, I turn to the three principal postpositivist dynamics, developed by Kuhn, Lakatos and Quine. I shall try to make to speak these representations of science for financial research, in order to reflect on the dominance of the Brownian representation in finance. We shall see that none of the epistemologies examined can explain why the Brownian representation continues to be used in mathematical finance research. I shall then propose an alternative hypothesis, concerning a significant pervading mental model that has irrigated both academics and practitioners in the financial sector: the “principle of continuity” introduced into economics by Marshall in. I consider that this principle of continuity has become a “persistent idea” in the form of a viral approach to representations, and I give this persistent idea the metaphorical name of the “Brownian virus”. Then, to explain the spread of this Brownian virus through the financial sector, the contamination of financial practices by this mental representation founded on the principle of continuity, I introduce the concept of the “financial Logos”, a discourse that structures practices and organisations, calculations, prudential regulations and accounting standards, leading to a general financialisation of society from the 1980s onwards. (shrink)

Many studies show that students self-report to having bought, downloaded and ghostwritten essays, as well as to failing to attribute quoted material and other similar actions. These actions are all classified as plagiarism, and based on this classification these students are positioned as cheaters. This study shows that there is reason to critically scrutinize such positioning. Using positioning theory, drawing on data from disciplinary inquiries, we show that such actions may be constituted as acts of complaining, justifying, blaming and the (...) like. Students justify these actions using storylines about ambiguous instructions, failing technology and difficulties distinguishing between plagiarism and autonomous authorship. We find that there are four positions such students try to make available for themselves as they attempt to reposition themselves, those of victim, learner, professional and repentant offender. Being suspected of cheating or plagiarism is a malignant position to be in; however, while students may attempt to reposition themselves in less malignant positions, such as that of victim, such attempts generally fail to lead to exoneration. (shrink)

Based on the French notion of terroir or ‘the taste of place,’ a certified geographical indication (GI) identifies an agro-food product as originating in a particular territory and suggests that its quality, reputation, or other characteristics are essentially or exclusively attributable to its geographical origin. Previous scholarship exploring the social construction of terroir has focused on how disparities in political, economic, and cultural power shape GI regulations, certification procedures, and territorial boundaries. While these works have considered knowledge as a resource (...) deployed through relations of authority, studies of GI implementation have not adequately considered an important aspect of power in contemporary politics: the epistemic authority to assert the legitimacy of knowledge and its relevance to policymaking. In contrast, in this article, I take the accomplishment of epistemic authority – to determine the ‘essential’ and ‘exclusive’ physical and/or cultural attributes of place that shape product character – as key to the social construction of terroir and the institutionalization of GI regulations. This process is explored through a case study of Ecuador’s 2013-2019 implementation of a GI for Galápagos Islands coffee. I draw on analysis of relevant policy and regulatory documents and semi-structured interviews with 21 key stakeholders to argue that analytical attention to the legitimacy and relevance of terroir knowledge explains how coffee producers were able to deploy authoritative knowledge to disrupt and reinforce relations of authority and challenge the terms and mechanisms of GI qualification. (shrink)

This article analyzes the experiences of ecologists who used data they did not collect themselves. Specifically, the author examines the processes by which ecologists understand and assess the quality of the data they reuse, and investigates the role that standard methods of data collection play in these processes. Standardization is one means by which scientific knowledge is transported from local to public spheres. While standards can be helpful, the results show that knowledge of the local context is critical to ecologists' (...) reuse of data. Yet, this information is often left behind as data move from the private to the public world. The knowledge that ecologists acquire through fieldwork enables them to recover the local details that are so critical to their comprehension of data collected by others. Social processes also play a role in ecologists' efforts to judge the quality of data they reuse. (shrink)

In this essay, I argue that Roy Bhaskar's philosophy of meta‐Reality creates the middle way to theorize emancipation in critical science education: between empiricism and idealism on the one hand, and naïve realism and relativism, on the other hand. This theorization offers possibilities to transcend the usual dichotomies and dualisms that are often perpetuated in some feminist and multiculturalist accounts of critical science education. Further, meta‐Reality suggests a radically new way to re‐visit the suspect notion of emancipation. The implications for (...) critical science education are discussed. (shrink)

A research community must share assumptions, such as about accepted knowledge, appropriate research practices, and good evidence. However, community members also hold some divergent assumptions, which they—and we, as analysts of science—tend to overlook. Communities with different assumed values, knowledge, and goals must negotiate to achieve compromises that make their conflicting goals complementary. This negotiation guards against the extremes of each group’s desired outcomes, which, if achieved, would make other groups’ goals impossible. I argue that this diversity, as a form (...) of value pluralism, regularly influences scientific practice and can make scientific evidence and knowledge more useful and more reliable. As an example, I examine vertebrate paleontology laboratories, which house a variety of workers with different training and priorities, particularly about the meaning of time. Specifically, scientists want to study fully prepared fossils immediately, conservators want to preserve fossils for future use, and preparators mediate between the other groups’ conflicting goals. After all, one cannot study a fossil encased in rock, and one cannot remove that rock without removing information from that specimen. In response, these coworkers articulate their assumptions in everyday deliberations about how scientific evidence should be made and used. I argue that this exchange of assumptions is crucial for a research community to achieve mutually beneficial compromises that benefit current and future knowledge construction. (shrink)

I compare the epistemic culture of Wikipedia with the epistemic culture of science, with special attention to the culture of collaborative research in science. The two cultures differ markedly with respect to (1) the knowledge produced, (2) who produces the knowledge, and (3) the processes by which knowledge is produced. Wikipedia has created a community of inquirers that are governed by norms very different from those that govern scientists. Those who contribute to Wikipedia do not ground their claims on their (...) reputations as knowers, for they stand to lose nothing if and when their contributions are found to be misleading or false. And the immediacy of the medium encourages gossip and jokes. Hence, though we have some reason to believe that an invisible hand aids scientists in realizing their epistemic goals, we cannot ground our confidence in what is reported on Wikipedia on the fact that an invisible hand ensures quality. Nor is the information on Wikipedia aptly justified in a manner similar to the way testimony can be justified. (shrink)

I examine whether or not it is apt to attribute knowledge to groups of scientists. I argue that though research teams can be aptly described as having knowledge, communities of scientists identified with research fields, and the scientific community as a whole are not capable of knowing. Scientists involved in research teams are dependent on each other, and are organized in a manner to advance a goal. Such teams also adopt views that may not be identical to the views of (...) the individual members of the group. (shrink)

This is a review of Melinda Baldwin's book Making Nature.

ArgumentWe continue our analysis of modeling practices that focus more on qualitative understanding of system behavior than the attempt to provide sharp forecasts. The argument here is built around three episodes: the ambitious work of the Princeton Meteorological Project; the seemingly simple models of convection in weather systems by Edward Lorenz at MIT; and then finally analysis of the dripping faucet by Robert Shaw and the Dynamical Systems Collective at UC Santa Cruz. Using the Princeton Meteorological Project as an argumentative (...) foil for the later chaos work of Lorenz and Shaw, we first show how the epistemological interest of modeling came to shift fromissuingpredictions toprobingthe very meaning and limits of prediction. The second step of our argument shows that what may be seen in one context of use as a modeling technology that is error ridden, imprecise, or inadequate, may be parsed completely differently in another context. This argument about technology and practice, we argue, feeds through to epistemological conceptions of error. Far from being something that can be defined in the absolute, the notion of error is shown to be contextually plastic. (shrink)

Recent years have seen a surge in online collaboration between experts and amateurs on scientific research. In this article, we analyse the epistemological implications of these crowdsourced projects, with a focus on Zooniverse, the world’s largest citizen science web portal. We use quantitative methods to evaluate the platform’s success in producing large volumes of observation statements and high impact scientific discoveries relative to more conventional means of data processing. Through empirical evidence, Bayesian reasoning, and conceptual analysis, we show how information (...) and communication technologies enhance the reliability, scalability, and connectivity of crowdsourced e-research, giving online citizen science projects powerful epistemic advantages over more traditional modes of scientific investigation. These results highlight the essential role played by technologically mediated social interaction in contemporary knowledge production. We conclude by calling for an explicitly sociotechnical turn in the philosophy of science that combines insights from statistics and logic to analyse the latest developments in scientific research. (shrink)

ArgumentIt seems theoretically convenient to construe knowledge practices in financial markets and organizations as “applied economics.” Alternatively or additionally, one might argue that practitioners draw on economic knowledge in order to systematically orient their actions towards profit-maximization; models, then, are understood as devices that make calculative rationality possible. However, empirical studies do not entirely confirm these theoretical positions: Practitioners’ actual calculations are often not “framed” by models; organizations and institutions influence the choice and adoption of models; and different professional groups (...) in financial markets have diverging attitudes towards model calculations. In order to account for this diversity, this article proposes the concept ofcultures of economic and financial expertise; the concept focuses on the patterns of knowledge practices and knowledge-related self-definitions of groups within financial organizations and markets; it also facilitates an analysis of the relations between and, more specifically, the hierarchies among different practices and identities. The article then goes on to explore the process of foreign exchange forecasting in a particular bank. The description immediately reveals that two groups are involved in this process: economists and analysts. These groups maintain quite different practices and self-descriptions in relation to models: While the economists in the bank use the models as organizational resources for consistent forecasting procedures and observe data with the help of simple model structures, analysts approach model forecasts from the perspective of critics: They see limits in the variable-centered, as opposed to a “thematic” approach and they disregard a model's imposed temporality. Nevertheless, analysts use model forecasts as anchors for developing their own “paths” and stories about possible future expectation changes in the markets. The specific division of labor between economists and analysts, and specifically the dominant role of analysts in the forecasting process, fit into a larger picture: The rise of institutional investors in the foreign exchange markets and their demand for genuine market knowledge for speculative investment projects has contributed to the rise and dominance of analysts’ culture. (shrink)

This paper offers an analytic perspective on epistemic dependence that is grounded in theoretical discussion and field observation at the same time. When in the course of knowledge creation epistemic labor is divided, collaborating scientists come to depend upon one another epistemically. Since instances of epistemic dependence are multifarious in scientific practice, I propose to distinguish between two different forms of epistemic dependence, opaque and translucent epistemic dependence. A scientist is opaquely dependent upon a colleague if she does not possess (...) the expertise necessary to independently carry out, and to profoundly assess, the piece of scientific labor which her colleague is contributing. If the scientist does possess the necessary expertise, I argue, her dependence is translucent. However, the distinction between opaque and translucent epistemic dependence does not exhaust dependence relations in scientific practice, because many dependence relations are neither entirely opaque nor translucent. I will discuss why this is the case, and show how we can make sense of the gray zone between opaque and translucent epistemic dependence. (shrink)

Numerous studies in the fields of Science and Technology Studies and philosophy of technology have repeatedly stressed that scientific practices are collective practices that crucially depend on the presence of scientific technologies. Postphenomenology is one of the movements that aims to draw philosophical conclusions from these observations through an analysis of human–technology interactions in scientific practice. Two other attempts that try to integrate these insights into philosophy of science are Ronald Giere’s Scientific Perspectivism and Davis Baird’s Thing Knowledge. In this (...) paper, these two approaches will be critically discussed from the perspective of postphenomenology. We will argue that Giere and Baird problematically assume that scientific instruments have a determined function, and that all human members of a scientific collective have immediate access to this function. However, these assumptions also allow them to offer a clear answer to the question how scientists can collectively relate to scientific phenomena. Such an answer is not yet formulated within the postphenomenological perspective. By adding a postphenomenological touch to the semiotic approach in Actor-Network Theory, we offer an account of how different individual human–technology relations are integrated into larger scientific collectives. We do so by showing that scientific instruments not only help constitute scientific phenomena, but also the intersubjectivity within such collectives. (shrink)

ZusammenfassungIst Biologie das jüngste Mitglied in der Familie von Big Science? Die vermehrte Zusammenarbeit in der biologischen Forschung wurde in der Folge des Human Genome Project zwar zum Gegenstand hitziger Diskussionen, aber Debatten und Reflexionen blieben meist im Polemischen verhaftet und zeigten eine begrenzte Wertschätzung für die Vielfalt und Erklärungskraft des Konzepts von Big Science. Zur gleichen Zeit haben Wissenschafts- und Technikforscher/innen in ihren Beschreibungen des Wandels der Forschungslandschaft die Verwendung des Begriffs Big Science gemieden. Dieser interdisziplinäre Artikel kombiniert eine (...) begriffliche Analyse des Konzepts von Big Science mit unterschiedlichen Daten und Ideen aus einer Multimethodenuntersuchung mehrerer großer Forschungsprojekte in der Biologie. Ziel ist es, ein empirisch fundiertes, nuanciertes und analytisch nützliches Verständnis von Big Biology zu entwickeln und die normativen Debatten mit ihren einfachen Dichotomien und rhetorischen Positionen hinter sich zu lassen. Zwar kann das Konzept von Big Science als eine Mode in der Wissenschaftspolitik gesehen werden – inzwischen vielleicht sogar als ein altmodisches Konzept –, doch lautet meine innovative Argumentation, dass dessen analytische Verwendung unsere Aufmerksamkeit auf die Ausweitung der Zusammenarbeit in den Biowissenschaften lenkt. Die Analyse von Big Biology zeigt Unterschiede zu Big Physics und anderen Formen von Big Science, namentlich in den Mustern der Forschungsorganisation, der verwendeten Technologien und der gesellschaftlichen Zusammenhänge, in denen sie tätig ist. So können Reflexionen über Big Science, Big Biology und ihre Beziehungen zur Wissensproduktion die jüngsten Behauptungen über grundlegende Veränderungen in der Life Science-Forschung in einen historischen Kontext stellen. (shrink)

Although existing scholarship offers critical insights into the working mechanisms of project-based research funding, little is known about the actual practice of writing grant proposals. Our study seeks to add a longitudinal dimension to the ongoing debate on the implications of competitive research funding by focusing on the incremental adjustment of the funder/fundee relationship around a common discursive practice that consists in describing and evaluating research projects: How has the perception of what constitutes a legitimate funding claim changed over time (...) and why? By investigating the normative framework enacted in the justification strategies of applicants, we shed light on the historical coevolution of the increasing competition for project funding, the epistemic culture of applicants, and grant writing rhetoric. To do this, we mobilize a comprehensive data set consisting of archival data from Europe’s oldest and largest funding agency, the Deutsche Forschungsgemeinschaft, as well as a corpus of 80 successful grant proposals written between 1975 and 2005. We find that the 1990s mark an important normative consolidation of what we consider to be a legitimate funding claim: Ensuring the success of the project and the project’s results becomes a major concern in applicant rhetoric. This time period coincides with a substantive rise in the level of competition for project funding. Yet, even though justification strategies might seem to address the same issues in grant proposals across the disciplines under investigation, the normative framework to which applicants refer differs according to the applicant’s epistemic culture. (shrink)

BackgroundResearch codes of conduct offer guidance to researchers with respect to which values should be realized in research practices, how these values are to be realized, and what the respective responsibilities of the individual and the institution are in this. However, the question ofhowthe responsibilities are to be divided between the individual and the institution has hitherto received little attention. We therefore performed an analysis of research codes of conduct to investigate how responsibilities are positioned as individual or institutional, and (...) how the boundary between the two is drawn.MethodWe selected 12 institutional, national and international codes of conduct that apply to medical research in the Netherlands and subjected them to a close-reading content analysis. We first identified the dominant themes and then investigated how responsibility is attributed to individuals and institutions.ResultsWe observed that the attribution of responsibility to either the individual or the institution is often not entirely clear, and that the notion ofcultureemerges as a residual category for such attributions. We see this notion of responsible research cultures as important; it is something that mediates between the individual level and the institutional level. However, at the same time it largely lacks substantiation.ConclusionsWhile many attributions of individual and institutional responsibility are clear, the exact boundary between the two is often problematic. We suggest two possible avenues for improving codes of conduct: either to clearly attribute responsibilities to individuals or institutions and depend less on the notion of culture, or to make culture a more explicit concern and articulate what it is and how a good culture might be fostered. (shrink)

Research integrity is usually discussed in terms of responsibilities that individual researchers bear towards the scientific work they conduct, as well as responsibilities that institutions have to enable those individual researchers to do so. In addition to these two bearers of responsibility, a third category often surfaces, which is variably referred to as culture and practice. These notions merit further development beyond a residual category that is to contain everything that is not covered by attributions to individuals and institutions. This (...) paper discusses how thinking in RI can take benefit from more specific ideas on practice and culture. We start by articulating elements of practice and culture, and explore how values central to RI are related to these elements. These insights help identify additional points of intervention for fostering responsible conduct. This helps to build “cultures and practices of research integrity”, as it makes clear that specific times and places are connected to specific practices and cultures and should have a place in the debate on Research Integrity. With this conceptual framework, practitioners as well as theorists can avoid using the notions as residual categories that de facto amount to vague, additional burdens of responsibility for the individual. (shrink)

An expert is commonly considered to be somebody who possesses the right kind of knowledge and skills to find out true answers for questions in a domain. However, this common conception that focuses only on an individual’s knowledge and skills is not very useful to understand the epistemically interdependent nature of contemporary scientific expertise, which becomes increasingly more relevant due to the rise of large interdisciplinary research collaborations. The typical scientific expert today relies substantially on complex scientific instruments and numerous (...) other experts in forming expert judgment. Moreover, we have research collaborations where multiple scientists interact in a way that gives rise to distributed cognitive systems, which can act as a single informant. Accordingly, our concept of scientific expertise should not consist only in individual knowledge and skills, but also accommodate epistemic dependence and collective knowledge production. To this aim, this paper proposes a reconstruction of the concept of scientific expertise as informant reliability by building on the virtue-epistemological account of epistemic competences and theories of extended and distributed cognition. Considered in reference to the social epistemic function of expertise, a scientific expert should be conceived as a reliable informant in a scientific domain, which implies that when consulted on matters in that domain they assert competently, honestly, and completely. Competent expert assertion involves the epistemic responsibility to draw on nothing but the highest degree of epistemic competence relevant to the given context. Thus, being a reliable informant may require one to draw on an extended epistemic competence that goes beyond one’s individual competence, or to form supra-individual or group-informants that manifest collectively the kind of complex epistemic competence required for the investigation of certain research questions. (shrink)

An expert is commonly considered to be somebody who possesses the right kind of knowledge and skills to find out true answers for questions in a domain. However, this common conception that focuses only on an individual’s knowledge and skills is not very useful to understand the epistemically interdependent nature of contemporary scientific expertise, which becomes increasingly more relevant due to the rise of large interdisciplinary research collaborations. The typical scientific expert today relies substantially on complex scientific instruments and numerous (...) other experts in forming expert judgment. Moreover, we have research collaborations where multiple scientists interact in a way that gives rise to distributed cognitive systems, which can act as a single informant. Accordingly, our concept of scientific expertise should not consist only in individual knowledge and skills, but also accommodate epistemic dependence and collective knowledge production. To this aim, this paper proposes a reconstruction of the concept of scientific expertise as informant reliability by building on the virtue-epistemological account of epistemic competences and theories of extended and distributed cognition. Considered in reference to the social epistemic function of expertise, a scientific expert should be conceived as a reliable informant in a scientific domain, which implies that when consulted on matters in that domain they assert competently, honestly, and completely. Competent expert assertion involves the epistemic responsibility to draw on nothing but the highest degree of epistemic competence relevant to the given context. Thus, being a reliable informant may require one to draw on an extended epistemic competence that goes beyond one’s individual competence, or to form supra-individual or group-informants that manifest collectively the kind of complex epistemic competence required for the investigation of certain research questions. (shrink)

Prediction markets, which trade contracts based on the results of predictions, have been remarkably successful in predicting the results of political events. A number of proposals have been made to extend prediction markets to scientific questions, and some small-scale science prediction markets have been implemented. Advocates for science prediction markets argue that they could alleviate problems in science such as bias in peer review and epistemically unjustified consensus. I argue that bias in peer review and epistemically unjustified consensuses are genuine (...) problems in science, and that current attempts to solve them fail in practical circumstances. Prediction markets do show some promise for answering scientific questions while avoiding the pitfalls of consensus and peer review. However, there are strong reasons to believe that science prediction markets will not perform nearly so well as election prediction markets, and implementing prediction markets on a large scale could have significant unintended consequences for the organization of scientific research. The promise of prediction markets to solve current problems in assessing scientific claims is therefore largely illusory. (shrink)

According to Margaret Gilbert’s collective epistemology, we should take attributions of beliefs to groups seriously, rather than metaphorically or as reducible to individual belief. I argue that, similarly, attributions of belief to markets ought to be taken seriously and not merely as reports of the average beliefs of market participants. While many of Gilbert’s purported examples of group belief are better thought of as instances of acceptance, some collectives, such as courts and markets, genuinely believe. Such collectives enact truth-aimed processes (...) that are beyond the control of any single individual. These processes produce beliefs that are distinct from any individual belief and do not merely report the “average” or “majority” view of the group. In the case of markets, beliefs are indicated by prices, though it is often difficult to infer beliefs from prices and those inferences are almost always uncertain. Reliabilism is the best available standard of justification for market beliefs. In some cases market beliefs are reliable and prove to be true. Thus, in some cases markets can know. (shrink)

This article focuses on an area of study that may be called folk economics and that is currently not on the social science agenda. Folk economics has as its task to analyze and explain how people view the economy and how it works; what categories they use in doing so; and what effect this has on the economy and society. Existing studies in economics and sociology that are relevant to this type of study are presented and discussed. A theoretical framework (...) for analyzing folk economic issues is suggested, centered on the distinction between episteme and doxa or between scientific knowledge, on the one hand, and everyday knowledge, on the other. This is then applied to an exploratory case study of the role that folk economics played in Trump’s presidential campaign. It is shown that Trump and his voters thought in a parallel way on key economic issues, especially protectionism. (shrink)

In this topical section, we highlight the next step of research on modeling aiming to contribute to the emerging literature that radically refrains from approaching modeling as a scientific endeavor. Modeling surpasses “doing science” because it is frequently incorporated into decision-making processes in politics and management, i.e., areas which are not solely epistemically oriented. We do not refer to the production of models in academia for abstract or imaginary applications in practical fields, but instead highlight the real entwinement of science (...) and policy and the real erosion of their boundaries. Models in decision making – due to their strong entwinement with policy and management – are utilized differently than models in science; they are employed for different purposes and with different constraints. We claim that “being a part of decision-making” implies that models are elements of a very particular situation, in which knowledge about the present and the future is limited but dependence of decisions on the future is distinct. Emphasis on the future indicates that decisions are made about actions that have severe and lasting consequences. In these specific situations, models enable not only the acquisition of knowledge (the primary goal of science) but also enable deciding upon actions that change the course of events. As a result, there are specific ways to construct effective models and justify their results. Although some studies have explored this topic, our understanding of how models contribute to decision making outside of science remains fragmentary. This topical section aims to fill this gap in research and formulate an agenda for additional and more systematic investigations in the field. (shrink)

Making sense of why something succeeded or failed is central to scientific practice: it provides an interpretation of what happened, i.e. an hypothesized explanation for the results, that informs scientists’ deliberations over their next steps. In philosophy, the realism debate has dominated the project of making sense of scientists’ success and failure claims, restricting its focus to whether truth or reliability best explain science’s most secure successes. Our aim, in contrast, will be to expand and advance the practice-oriented project sketched (...) by Arthur Fine in his work on the Natural Ontological Attitude. An important obstacle to articulating a positive program, we suggest, has been overlooking how scientists adopt standardized rules and procedures in order to define and operationalize meanings for success and failure relative to their situated goals. To help fill this gap, we introduce two new ideas, design specifications and track records, and show how they advance our ability to make sense of scientific modeling practices while maintaining a deflationary stance toward the realism debate. (shrink)

Recently there have been pleas for STS to make a difference in how science policies are constructed and enacted. Much less remarked upon is the possibility that there may be troubling alignments between science studies and research policies in the form of shared conceptual, epistemological and methodological assumptions. Both have come to emphasise material outputs and visible activity, obscuring other processes, relationships and orderings involved in science work. This collection of papers focuses on these connections between STS and contemporary research (...) policies. They explore empirical material from ‘other epistemic places' to foreground and critique what is privileged and rewarded by science policies. But they also seek to make a theoretical contribution to STS itself, showing how its early focus on the hard centres of global technoscience have been constitutive of its characteristic concerns, epistemologies -and blind spots. As science studies moves out of the lab andbeyond the heartlands of the political West and global North, we argue that acknowledging some problematic affinities between science studies and science policy is both a critical necessity and an opportunity for new insights. (shrink)

In view of the ethical crises that have proliferated over the last decade, scholars have reflected critically on the ideal of management as a value-neutral, objective science. The alternative conceptualization of management as a craft has been introduced but not yet sufficiently elaborated. In particular, although authors such as Mintzberg and MacIntyre suggest craft as an appropriate alternative to science, neither of them systematically describes what “craft” is, and thus how it could inform an ethical managerial orientation. In this paper, (...) we draw from the literature to elaborate three caring orientations associated with craft practices: caring for materials, caring for process, and caring for end-users. We suggest that conceptualizing management as a craft in these terms offers an approach to business ethics that goes beyond the “ethics of compliance” and toward a more embodied and embedded form of ethical enactment within organizations. (shrink)

In November 2015, after weeks of bitter political rhetoric and much discussion about the consequences of the proposed changes, the UK Tory government reversed their decision to eliminate tax credits for the poorest. While much was made of this reversal, particularly who deserved responsibility for the change, a more subtle politics was going on behind the scenes. The primary justification for the reversal, given by the Chancellor George Osborne, was that tax revenues in forthcoming years were now expected to be (...) much higher than before. Yet, a deeper look into this justification revealed that 55% of those extra revenues came from “modelling changes”. Suddenly, the discursive sparring over tax revenues found its material embodiment in the computers of the Office for Budget Responsibility. Similarly, central bank policies have become essential to the global economy since the 2008 crisis, and their policies concerning interest rates and quantitative easing are the joint product of hybrid human–computer systems. Yet, while scholars have examined the influence of modelling technology on derivatives valuation models, the field of central bank macroeconomic modelling has been largely ignored. This paper will examine these government economic models, outlining a broad history of their changing political ramifications. What are these models? How can they change the possibilities of government action so much? In addition, what effect do they have on politicians? Do they function merely as post-hoc justification for policies, or do they give shape to the space of the politically possible? The aim of this project is to begin answering these questions and generate a framework for understanding how economic modelling is shaping and interacting with economic policy. (shrink)

This paper explores the gray area of questionable research practices (QRPs) between responsible conduct of research and severe research misconduct in the form of fabrication, falsification, and plagiarism (Steneck in SEE 12(1): 53–57, 2006). Up until now, we have had very little knowledge of disciplinary similarities and differences in QRPs. The paper is the first systematic account of variances and similarities. It reports on the findings of a comprehensive study comprising 22 focus groups on practices and perceptions of QRPs across (...) main areas of research. The paper supports the relevance of the idea of epistemic cultures (Knorr Cetina in: Epistemic cultures: how the sciences make knowledge, Harvard University Press, Cambridge, 1999), also when it comes to QRPs. It shows which QRPs researchers from different areas of research (humanities, social sciences, medical sciences, natural sciences, and technical sciences) report as the most severe and prevalent within their fields. Furthermore, it shows where in the research process these self-reported QRPs can be found. This is done by using a five-phase analytical model of the research process (idea generation, research design, data collection, data analysis, scientific publication and reporting). The paper shows that QRPs are closely connected to the distinct research practices within the different areas of research. Many QRPs can therefore only be found within one area of research, and QRPs that cut across main areas often cover relatively different practices. In a few cases, QRPs in one area are considered good research practice in another. (shrink)

: This paper seeks to contribute to the development of a sociological understanding of scientific change. It first presents a conceptual framework for defining and understanding the conditions that give rise to episodes of cumulative change (both as the selective reconstruction of events and as the patterned structuring of innovations over time and across different settings). It argues that one of the most powerful structuring mechanisms is the existence of standardized research technologies. Then, the development of electroencephalography (EEG) is presented (...) as an illustrative case study. The EEG supported a dramatic episode of development in brain science, and did so primarily through technological standardization and reliability. The case shows how standard and manipulable technologies provide a framework for orderly change both in retrospective accounts and in specific historical periods of scientific practice. (shrink)

This paper identifies three distinct narratives concerning scientific misconduct: a narrative of “individual impurity” promoted by those wishing to see science self-regulated; a narrative of “institutional impropriety” promoted by those seeking greater external control of science; and a narrative of “structural crisis” among those critiquing the entire process of research itself. The paper begins by assessing contemporary definitions and estimates of scientific misconduct. It emphasizes disagreements over such definitions and estimates as a way to tease out tension and controversy over (...) competing visions of scientific research. It concludes by noting that each narrative suggests a different approach for resolving misconduct, and that the difference inherent in these views may help explain much of the discord concerning unethical behavior in the scientific community. (shrink)

Studies on ‘Big Science’ have shifted our perspective from the complexity of scientific objects and their representations to the complexity of sociotechnical arrangements. However, how scientists in large-scale research attend to this complexity to facilitate and afford knowledge production has rarely been considered to date. In this article, we locate organizational complexity on the level of organizing practices that follow multiple and divergent logics. We identify three strategies of managing organizational complexity, drawing on existing literature on large-scale research as well (...) as own empirical research. The three strategies are: segmenting research infrastructure, introducing elements of bureaucratic governance, and implementing standards and standardization. We illustrate these strategies with examples from our empirical case study on experimental particle physics research at CERN’s Large Hadron Collider. While the strategies we identified help to cope with the complexity of some organizational tasks by dividing, ordering, or mediating between divergent organizational logics, we find that organizational complexity overall is not reduced but rather displaced. We argue that dealing with complexity is a dynamic and ongoing process, which inevitably generates novel organizational complexity. (shrink)

In what follows, I appeal to Charles Babbage’s discussion of the division of mental labor to provide evidence that—at least with respect to the social acquisition, storage, retrieval, and transmission of knowledge—epistemologists have, for a broad range of phenomena of crucial importance to actual knowers in their epistemic practices in everyday life, failed adequately to appreciate the significance of socially distributed cognition. If the discussion here is successful, I will have demonstrated that a particular presumption widely held within the contemporary (...) discussion of the epistemology of testimony—a presumption that I will term the personalist requirement—fails to account for those very practices of knowers that I detail here. I will then conclude by suggesting that an alternate account of testimonial warrant, one that has heretofore been underappreciated, ought to be given more serious consideration—in particular because it is well suited to account for those actual practices of knowers that the personalist requirement leaves unrecognized. (shrink)

About 20 years ago, the ecology of media art practices proliferated in two domains: those that attached themselves to high technology labs or companies like Xerox PARC, and those that took advantage of personal computing to form collectives only loosely coupled to academic institutions or disciplines. In this essay, I closely examine the diverse epistemic cultures and diverse technical, political, and generational interests in such “cyber-anarchist” networks. I sketch the economy of knowledge in recent media arts and technology communities of (...) practice in the wake of Open Source. I use as my lens the experience of creating a responsive media space called the TGarden, with a collective that gathered more than 26 artists and engineers from 11 institutions and 7 nations. (shrink)

The national-level scenarios project NanoFutures focuses on the social, political, economic, and ethical implications of nanotechnology, and is initiated by the Center for Nanotechnology in Society at Arizona State University (CNS-ASU). The project involves novel methods for the development of plausible visions of nanotechnology-enabled futures, elucidates public preferences for various alternatives, and, using such preferences, helps refine future visions for research and outreach. In doing so, the NanoFutures project aims to address a central question: how to deliberate the social implications (...) of an emergent technology whose outcomes are not known. The solution pursued by the NanoFutures project is twofold. First, NanoFutures limits speculation about the technology to plausible visions. This ambition introduces a host of concerns about the limits of prediction, the nature of plausibility, and how to establish plausibility. Second, it subjects these visions to democratic assessment by a range of stakeholders, thus raising methodological questions as to who are relevant stakeholders and how to activate different communities so as to engage the far future. This article makes the dilemmas posed by decisions about such methodological issues transparent and therefore articulates the role of plausibility in anticipatory governance. (shrink)

This essay explores how the human biological self is socially constructed, and rejects various truisms that define our character. Rather than being stand-alone entities, the human biological self forms what biologists call “superorganisms” and what I call “poly-super-organisms.” Thus, along with prokaryotes , viruses, and other entities, we are combined in an inseparable menagerie of species that is spread across multiple bodies. Biologists claim that only males and females are organisms. As described here, however, human sperm and eggs are equally (...) entitled to that rank. Much about human reproduction is also socially constructed. For example, contrary to scientific wisdom, humans have always reproduced both sexually and asexually. Moreover, human life does not begin between conception and birth, and neither event creates new life. In addition, some cancer cells are organisms; they are contagious entities formed by asexual human reproduction. Finally, while science universally describes humans as being living entities, accumulating evidence makes clear that the life concept is failing. In fact, much that originates from human bodies does not fall under current biological or cultural classifications.How we construct the human biological self has consequences for understanding our health, how we reproduce, and what we are. These social constructions greatly influence our views on abortion, stem-cell research, human cloning, and our post-human future. A more accurate construction of the human biological self will help us better navigate these contentious issues. (shrink)

Research is now an increasingly heterogeneous activity involving an expanded range of new actors and stake-holders and employing an eclectic range of epistemologies and methodologies. The emergence of these new research paradigms — and, in particular, of so-called ‘Mode 2’ knowledge production that is highly contextualised and socially distributed — raises new and challenging ethical issues and also important questions about the autonomy of science and the social responsibilities of scientists.