Complex environmental problems require well-researched policies that integrate knowledge from both the natural and social sciences. Epistemic differences can impede interdisciplinary collaboration, as shown by debates between conservation biologists and anthropologists who are working to preserve biological diversity and support economic development in central Africa. Disciplinary differences with regard to 1) facts, 2) rigor, 3) causal explanation, and 4) research goals reinforce each other, such that early decisions about how to define concepts or which methods to adopt may tilt research (...) design and data interpretation toward one discipline’s epistemological framework. If one of the contributing fields imposes a solution to an epistemic problem, this sets the stage for what I call disciplinary capture. Avoiding disciplinary capture requires clear communication between collaborators, but beyond this it also requires that collaborators craft research questions and innovate research designs which are different from the inherited epistemological frameworks of contributing disciplines. (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)

Animals and TechnoscienceThe essays in the section “Animals in technoscientific developments” have been collected from the submissions to the 3rd European Conference of Critical Animal Studies that I organized in Karlsruhe on 28–30 November 2013. The aim of the conference was to stimulate critical scholars to engage on the multifaceted relationships between animals and technosciences, an under-researched topic.Technoscience has become an important concept in the current debate on the epistemic and normative changes taking place in how scientific and technological research (...) is currently being conducted. Although there are different modes of describing technoscience , generally speaking the term refers to a means of developing knowledge in which it is not possible to separate the scientific from the technological . In contrast to the “traditional mode o .. (shrink)

Rationalities of Knowledge Production: On Transformations of Objects, Technologies and Information in Biomedicine and the Life Sciences. Since decades, scientific change has been interpreted in the light of of paradigm shifts and scientific revolutions. The Kuhnian interpretation of scientific change however is now more and more confronted with non‐disciplinary thinking in both, science and studies on science. This paper explores how research in biomedicine and the life sciences can be characterized by different rationalities, sometimes converging, sometimes contradictory, all present at (...) the same time with varying ways of influence, impact, and visibility. In general, the rationality of objects is generated by fitting new objects and findings into a new experimental context. The rationality of hypotheses is a move towards the construction of novel explanatory tools and models. This is often inseparable meshing with the third, the technological rationaliy, in which a technology‐driven, self‐supporting and sometimes self‐referential refinement of methods and technologies comes along with an extension into other fields. During the second and the third phase, the new and emerging fields tend to expand their explanatory reach not only across disciplinary boundaries but also into the social sphere, creating what has been characterized as “exceptionalism” (e.g. genetic exceptionalism or neuro‐exceptionalism). Finally, recent biomedicine and life‐sciences reach a level in which experimental work becomes more and more data‐driven because the technologically constructed experimental systems generate a plethora of findings (data) which at some point start to blur the original hypotheses. For the rationality of information the materiality of research practices becomes secondary and research objects are more and more getting out of sight. Finally, the credibility of science as a practice becomes more and more dependent on consensus about the applicability and relevance of its results. The rationality of interest (and accountability) has become more and more characteristic for a research process which is no longer primarily determined by the desire for knowledge but by the desire for relevance. This paper explores in which ways object‐driven and hypotheses‐driven experimental life‐sciences transformed into domains of experimental research evolving in a technologically constructed, data‐driven environment in which they are subjected to constant morphing due to the forces of different rationalities. (shrink)

Inquiry teaching can be viewed as an approach for communicating the knowledge and practices of science to learners. In its various forms inquiry offers potential learning opportunities and poses constraints on what might be available to learn. Philosophical analysis offers ways of understanding inquiry, knowledge, and social practices. This chapter will examine philosophical problems that arise from teaching science as inquiry. Observation, experimentation, measurement, inference, explanation, and modeling pose challenges for novice learners who may not have the conceptual and epistemic (...) knowledge to engage effectively in such scientific practices in inquiry settings. Science learning entails apprenticeship and socialization into a legacy of conceptual knowledge and epistemic practices (Kelly. Inquiry, Activity, and Epistemic Practice. In R. Duschl & R. Grandy (Eds.) Teaching Scientific Inquiry: Recommendations for Research and Implementation (pp. 99–117; 288–291). Rotterdam: Sense Publishers, 2008). Modern science increasingly relies on abstract and computational models that are not readily constructed from the student-driven questions that often function as an early step in inquiry approaches to instruction. Thus, engaging students in the epistemic practices of science poses challenges for educators. -/- The argument developed in this chapter draws from an epistemological position that makes clear the need for building from extant disciplinary knowledge of a relevant social group in order to learn through inquiry. Establishing a social epistemology in educational settings provides opportunities for students to engage in ways of speaking, listening, and explaining that are part of constructing knowledge claims in science (Kelly and Chen. Journal of Research in Science Teaching 36, 883–915, 1999). This perspective on epistemology emphasizes the importance of dialectical processes in science learning. Thus, an inquiry-oriented pedagogy needs to attend to developing norms and practices in educational settings that provide opportunities to learn through and about inquiry. By considering the situated social group as the epistemic subject, inquiry teaching and learning can be viewed as creating opportunities for supporting the conceptual, epistemic, and social goals of science education (Duschl. Review of Research in Education, 32, 268–291, 2008; Kelly. Inquiry, Activity, and Epistemic Practice. In R. Duschl & R. Grandy (Eds.) Teaching Scientific Inquiry: Recommendations for Research and Implementation (pp. 99–117; 288–291). Rotterdam: Sense Publishers, 2008). -/- The chapter addresses the philosophical considerations of inquiry in science education by identifying the epistemological constraints to teaching science as inquiry, reviewing the potential contributions of philosophy of science to discussions regarding inquiry, considering how social epistemology aligns with developments in psychology of learning with understandings about science, and offering ways that philosophical analysis can contribute to the on-going conversations regarding science education reform. (shrink)

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

This article addresses the relationship between technology and institutions and asks whether technology itself is an institution. The argument is that social theorists need to attend better to materiality: the world of things and objects of which technical things form an important class. It criticizes the new institutionalism in sociology for its failure to sufficiently open up the black box of technology. Recent work in science and technology studies (S&TS) and in particular the sociology of technology is reviewed as another (...) route into dealing with technology and materiality. The recent ideas in sociology of technology are exemplified with the author’s study of the development of the electronic music synthesizer. (shrink)

This paper argues for a broader understanding of complexity; an understanding that speaks to the multidimensionality of environmental problems. As argued, environmental problems rest upon ontological, epistemological, and moral claims; they rest, in other words, upon statements about what is, knowledge, and what ought to be, respectively. To develop and illustrate this argument, the GMO (genetically modified organism) controversy is broken down according to these three dimensions. Dissecting environmental problems in this manner reveals why we cannot look solely toward the (...) natural sciences for resolution: because these problems beg questions that cannot be answered with references to materiality alone. (shrink)

This essay unpacks a seeming paradox: a concept used to formulate, promote, and legitimate oppressive ideologies—a concept used to formulate mistaken, because they were typological, biological theories about human diversity—is, it seems, the same concept that now promises to deliver wonderful, socially sensitized, innovative results in social and genetic epidemiology. But how could that be? How could scientists expect a concept as problematic as ordinary race to deliver useful scientific results? I propose that there is a process for retranslating Ballungen (...) race concepts in appropriate ways to make them fit and work within social scientific and bioscientific contexts. (shrink)

The current neurosciences contribute to the construction of gender/sex to a high degree. Moreover, the subject of gender/sex differences in cognitive abilities attracts an immense public interest. At the same time, the entanglement of gender and science has been shown in many theoretical and empirical analyses. Although the body of literature is very extensive and differentiated with regards to the dimensions of ‘neuroscience of gender’ and ‘gender in neuroscience’, the feeding back of these findings into the field of neuroscience remains (...) a desideratum. Especially, the question of how gender knowledge, i.e. insights from feminist theory on gender/sex and from gender and science studies on knowledge production, may be integrated and applied within the neurosciences has been strongly neglected. Presumably due to their epistemic culture and epistemological presuppositions, these critical engagements are conceived as externalist by critical scholars and neuroscientists alike. In this context, the question arises of how substantiated gender knowledge may be accounted for in neuroscientific research practice? The article outlines methodological considerations for a critical research agenda in the cognitive neurosciences. I present thoughts on how insights and expertise from gender and science studies can be taken into account in the neuroscientific practice of knowledge production. Starting from the assumption that changes in neuroscientific research practices are possible, my aim is to point out possibilities of integrating gender knowledge into the neurosciences. (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)

How do scientists who devote their entire lives to solving a small problem in theoretical physics work? What causes a team of young researchers to be completely devoted to its work? What do they share with and what distinguishes them from teams who do not have creativity as a necessary goal of their mission? This article discusses some possible answers to these questions, starting from a research team in physics, in which the author took part as a researcher over a (...) considerable period of time. (shrink)

In this paper, I introduce the emerging theory of judgment aggregation as a framework for studying institutional design in social epistemology. When a group or collective organization is given an epistemic task, its performance may depend on its ‘aggregation procedure’, i.e. its mechanism for aggregating the group members’ individual beliefs or judgments into corresponding collective beliefs or judgments endorsed by the group as a whole. I argue that a group’s aggregation procedure plays an important role in determining whether the group (...) can meet two challenges: the ‘rationality challenge’ and the ‘knowledge challenge’. The rationality challenge arises when a group is required to endorse consistent beliefs or judgments; the knowledge challenge arises when the group’s beliefs or judgments are required to track certain truths. My discussion seeks to identify those properties of an aggregation procedure that affect a group’s success at meeting each of the two challenges. (shrink)

Depending on different positions in the debate on scientific realism, there are various accounts of the phenomena of physics. For scientific realists like Bogen and Woodward, phenomena are matters of fact in nature, i.e., the effects explained and predicted by physical theories. For empiricists like van Fraassen, the phenomena of physics are the appearances observed or perceived by sensory experience. Constructivists, however, regard the phenomena of physics as artificial structures generated by experimental and mathematical methods. My paper investigates the historical (...) background of these different meanings of phenomenon in the traditions of physics and philosophy. In particular, I discuss Newton’s account of the phenomena and Bohr’s view of quantum phenomena, their relation to the philosophical discussion, and to data and evidence in current particle physics and quantum optics. (shrink)

Understanding is an ability manifested by grasping relations of a phenomenon and articulating new explanations. Hence, scientific understanding is inextricably intertwined with and not possible without explanation, and understanding is not a type of propositional knowledge. Anna Elisabeth Höhl provides a novel philosophical account of scientific understanding by developing and defending necessary and sufficient conditions for the understanding that scientists achieve of the phenomena they are researching. This account of scientific understanding is based on and supported by a detailed investigation (...) of an episode from scientific practice in biology. (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)

Disagreements come in all shapes and sizes, but epistemologists and argumentation theorists have singled out a special category referred to as deep disagreements. These deep disagreements are thought to pose philosophical and practical difficulties pertaining to their rational resolution. In this paper, I start with a critique of the widespread claim that deep disagreements are qualitatively different from normal disagreements because they arise from a difference in ‘fundamental principles’ or ‘hinge commitments.’ I then defend the following two claims: All disagreements (...) are deep to the extent that they are actual disagreements. This first claim implies, I will argue, that disagreements typically regarded as normal can be explained away as misunderstandings or communicative mishaps. The resolution of a disagreement can be rational either through a joint experience of mutually recognized facts or through an exchange of arguments that leads to a reformulation of the disagreement that, in this new form, lends itself to a resolution through a joint experience of mutually recognized facts. I conclude with a reflection on the consequences of these two theses for the idea of deep disagreement and that of rational resolution. (shrink)

The use of energy from wind has a multi-faceted relationship to visibility. Between 1973 and 1991, various actors in the West German environmental movement made assertions about the visibility of renewable sources of power, but wind energy took on a particular prominence. In this article, the question of how different actors have used knowledge and the materiality of wind turbines for competing purposes is explored. Environmentalists attempted to create visible signs of a valid alternative energy future by tinkering with small, (...) decentralized wind turbines, while the Federal Republic of Germany's Ministry of Research and established energy providers used the failure of the state-subsidized large-scale wind-energy project GROWIAN to criticize renewables and brand their application as misguided. In both cases, actors created new wind energy visibilities to convey their conflicting interests—pitting those advocating a new, environmentally friendly energy system against those who sought consolidation of the large-scale fossil-nuclear energy system. (shrink)

Scientific communities expect early career researchers to become intellectually independent and to develop longer-term research plans. How such programs emerge during the early career phase is still poorly understood. Drawing on semistructured interviews with German ECRs in plant biology, experimental physics, and early modern history, we show that the development of such a plan is a research process in itself. The processes leading to IRPs are conditioned by the fields’ epistemic practices for producing new knowledge. By linking the conditions under (...) which ECRs work to the epistemic properties of their IRPs, we identify mechanisms that produce these programs and conditions facilitating or hindering the operation of these mechanisms. (shrink)

In science studies the laboratory has been positioned as a privileged place for understanding scientific practice. Laboratory studies foregrounded local spaces of knowledge production in the natural sciences, and in doing so made the laboratory key to social science epistemologies. This article explores how laboratory studies and observational methods have been tied up together in the science and technology studies project of making scientific practice visible. The author contrasts powerful rhetorics of witnessing and revelation in some significant STS texts with (...) the negotiated and partial ways in which observing science work is done in social science practice. Drawing on empirical material generated with bioscientists and social scientists, the article explores how researchers may resist the observational gaze and mark aspects of knowledge work as private and solitary. The author concludes by arguing that epistemologies of vision point to some unsettling parallels between the study of knowledge-making in STS and audit regimes in contemporary research, and considers how both might devalue invisible work. This analysis suggests that there is a need to reconsider the significance of thinking in the ensemble of knowledge production practices for methodological, epistemological, and strategic reasons. (shrink)

The experience of uncertainties in exploring the unknown—and dealing with them—is a key characteristic of what it means to be a life science researcher, but we have only started to understand how this characteristic shapes cultures of knowledge production, particularly in times when other—more social—uncertainties enter the field. Although the lab studies tradition has explored the workings of epistemic uncertainties, the range of potent uncertainty experiences in research cultures has been broadened within the neoliberal reorganization of academic institutions. Most importantly, (...) the stronger dependency on competitive project funding has led to increased social uncertainties. Being employed part-time and for shorter periods of time, researchers often find themselves in the precarious situation of high employment uncertainty. This article argues that the currently predominant form of organizing academic research creates a structural link between epistemic and social uncertainties. It then describes empirically different modes of coping with these uncertainties that researchers deploy and that seem to have become a variable in the governance of research cultures. To do so, it takes the academic life sciences in Austria as an example and explores them using approaches from both science and technology studies and labor studies. (shrink)

Big Data evangelists often argue that algorithms make decision-making more informed and objective—a promise hotly contested by critics of these technologies. Yet, to date, most of the debate has focused on the instruments themselves, rather than on how they are used. This article addresses this lack by examining the actual practices surrounding algorithmic technologies. Specifically, drawing on multi-sited ethnographic data, I compare how algorithms are used and interpreted in two institutional contexts with markedly different characteristics: web journalism and criminal justice. (...) I find that there are surprising similarities in how web journalists and legal professionals use algorithms in their work. In both cases, I document a gap between the intended and actual effects of algorithms—a process I analyze as “decoupling.” Second, I identify a gamut of buffering strategies used by both web journalists and legal professionals to minimize the impact of algorithms in their daily work. Those include foot-dragging, gaming, and open critique. Of course, these similarities do not exhaust the differences between the two cases, which are explored in the discussion section. I conclude with a call for further ethnographic work on algorithms in practice as an important empirical check against the dominant rhetoric of algorithmic power. (shrink)

Scientists’ risk perceptions play a critical role in determining the risks that they are willing to accept in their work. This study investigates academic bioscientists’ risk perceptions by examining the judgments working scientists employ in day-to-day research decisions. The study draws from theoretical and methodological underpinnings of Sociology of Science and Risk Analysis. Using data gathered from 694 survey responses of bioscientists at a land grant research university in the U.S. Midwest, this study identifies four dimensions of perceived risk (i.e., (...) intellectual challenges, competition, career risks, and societal risks) and demonstrates how these dimensions are associated with a series of demographic, life-course, and contextual factors. Findings indicate that university bioscientists’ subjective risk judgments are shaped by their professional experience, sources of funding, research orientation, professional networks, and perceived significance of research, which in turn may affect their research decisions. (shrink)

In science and technology studies today, there is a troubling tendency to portray actors in the biosciences as “cultural dopes” and technology as having monolithic qualities with predetermined outcomes. To remedy this analytical impasse, this article introduces the concept styles of valuation to analyze how actors struggle with valuing technology in practice. Empirically, this article examines how actors in a bioscientific laboratory struggle with valuing the properties and qualities of algorithms in a high-throughput setting and identifies the copresence of several (...) different styles. The question that the actors struggle with is what different configurations of algorithms, devices, and humans are “good bioscience,” that is, what do the actors perform as a good distribution of agency between algorithms and humans? A key finding is that algorithms, robots, and humans are valued in multiple ways in the same setting. For the actors, it is not apparent which configuration of agency and devices is more authoritative nor is it obvious which skills and functions should be redistributed to the algorithms. Thus, rather than tying algorithms to one set of values, such as “speed,” “precision,” or “automation,” this article demonstrates the broad utility of attending to the multivalence of algorithms and technology in practice. (shrink)

Building from recent attempts in the humanities and social sciences to conceive of creative, entangled ways of doing interdisciplinary work, I turn to Braidotti’s ‘nomadic ontology’ to (re)vision the human body without a brain. Her exploration of the body as a ‘threshold of transformations’ is put into conversation with Deleuze’s comments on neurobiology to consider what a brainless body might do, or undo, in neuroscientific practice. I ground discussion in a case study, detailing the practices of brain decoding or ‘mind (...) reading,’ re-interpreting Rose’s account. Therein, I argue that the technical-social configurations of brain decoding are unlikely to usher in a radically new ontology, as Rose suggests. To better match Rose’s vision and align with new ontologies in cultural theory, I argue that neuroscience must become nomadic and embrace a body without a brain. I then conclude with six recommendations towards a nomadic neuroscience. (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)

I connect two increasingly popular ideas in social epistemology—group knowledge and epistemic extension—both departures from mainstream epistemological tradition. In doing so, I generate a framework for conceptualizing and organizing contemporary epistemology along several core axes. This, in turn, allows me to delineate a largely unexplored frontier in group epistemology. The bulk of extant work in group epistemology can be dubbed intra-group epistemology: the study of epistemically salient happenings within groups. I delineate and attempt to motivate what I dub inter-group epistemology: (...) the study of epistemically salient happenings between groups and other subjects and entities. (shrink)

One can know how to ride a bicycle, play the cello, or collect experimental data. But who can know how to properly ride a tandem bicycle, perform a symphony, or run a high-energy physics experiment? Reductionist analyses fail to account for these cases strictly in terms of the individual know-how involved. Nevertheless, it doesn't follow from non-reductionism that groups possess this know-how. One must first show that epistemic extension cannot obtain. This is the idea that individuals can possess knowledge even (...) when others possess some of the epistemic materials generating it. I show that only knowledge-that can be epistemically extended, not knowledge-how. Appeal to epistemic extension is a viable way of avoiding group knowledge-that ascriptions but not group knowledge-how ascriptions. Therefore, groups can know how. (shrink)

Traditional school science has been described as focused on indisputable facts where scientific processes and factors affecting these processes become obscured or left undiscussed. In this article, we report on teachers’ perspectives on the teaching of sociocultural and subjective aspects of the nature of science as a way to accomplish a more nuanced science teaching in Swedish compulsory school. The teachers took part in a longitudinal study on NOS and NOS teaching that spanned 3 years. The data consists of recorded (...) and transcribed focus group discussions from all 3 years. In the analysis, the transcripts were searched for teachers’ suggestions of issues, relevant for teaching in compulsory school, as well as opportunities and challenges connected to the teaching of these issues. The results of the analysis show that the number of suggested issues increased over the years, teachers’ ways of contextualizing the issues changed from general and unprecise to more tightly connected to socio-scientific or scientific contexts, and the number of both opportunities and challenges related to NOS teaching increased over the years. The most evident changes occurred from the beginning of year 2 when the focus group discussions became more closely directed towards concrete teaching activities. Tensions between the opportunities and challenges are discussed as well as how these can be met, and made use of, in science teacher education. (shrink)

Scientific communities as social groupings and the role that such communities play in scientific change and the production of scientific knowledge is currently under debate. I examine theory change as a complex social interaction among individual scientists and the scientific community, and argue that individuals will be motivated to adopt a more radical or innovative attitude when confronted with striking similarities between model systems and a more robust understanding of specialised vocabulary. Two case studies from the biological sciences, Barbara McClintock (...) and Stanley Prusiner, help motivate the idea that sharing of models and specialised vocabulary fill the gap between discovery and scientific change by promoting the dispersal of important information throughout the scientific community. (shrink)

The early dissemination of Copernicus' work and theories is an intricate and multilayered history. The reception of De revolutionibus orbium coelestium, which was the first early modern work in mathematical astronomy introducing a heliocentric planetary theory, was not purely technical. Rather, the cultural debates surrounding it were affected by physical, philosophical, ethical, and theological concerns from its inception. Georg Joachim Rheticus, who authored the first report on Copernicus' achievement, deemed it appropriate to put a call for independence of spirit on (...) the title page of the Narratio... (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)

In Weaving the Web, Berners-Lee defines Social Machines as biotechnologically hybrid Web-processes on the basis of which, “high-level activities, which have occurred just within one human’s brain, will occur among even larger more interconnected groups of people acting as if the shared a larger intuitive brain”. The analysis and design of Social Machines has already started attracting considerable attention both within the industry and academia. Web science, however, is still missing a clear definition of what a Social Machine is, which (...) has in turn resulted in several calls for a “philosophical engineering” ; Halpin et al. 2010). This paper is a first attempt to respond to this call, by combining contemporary philosophy of mind and cognitive science with epistemology. The idea of philosophical engineering implies that a sufficiently good conception of Social Machines should be of both theoretical and practical advantage. To demonstrate how the present approach can satisfy both objectives it will be used in order to address one of Wikipedia’s most worrying concerns—i.e., the current and ongoing decline in the number of its active contributors. (shrink)

Nature of science has for a long time been regarded as a key component in science teaching. Much research has focused on students’ and teachers’ views of NOS, while less attention has been paid to teachers’ perspectives on NOS teaching. This article focuses on in-service science teachers’ ways of talking about NOS and NOS teaching, e.g. what they talk about as possible and valuable to address in the science classroom, in Swedish compulsory school. These teachers are, according to the national (...) curriculum, expected to teach NOS, but have no specific NOS training. The analytical framework described in this article consists of five themes that include multiple perspectives on NOS. The results show that teachers have less to say when they talk about NOS teaching than when they talk about NOS in general. This difference is most obvious for issues related to different sociocultural aspects of science. Difficulties in—and advantages of—NOS teaching, as put forth by the teachers, are discussed in relation to traditional science teaching, and in relation to teachers’ perspectives on for which students science teaching will be perceived as meaningful and comprehensible. The results add to understanding teachers’ reasoning when confronted with the idea that NOS should be part of science teaching. This in turn provides useful information that can support the development of NOS courses for teachers. (shrink)

Ontological perspectives in higher education and particularly in professional education and development have focused attention on the question of the learner’s being and becoming rather than on the epistemological concern of what and how they know. This study considers the formation of the professional self in the light of the requirements for professional practice. It raises the question of agency in relation to this formational process and considers the implications of the autonomy paradox which arises from the simultaneous influence of (...) the sovereign self and the external authority of the profession on the formation of the professional self. This study considers a structural perspective on both of these matters and concludes with implications for professional education and development derived from constructive developmental theory and the notion of subject–object transformation. (shrink)

Two major science policy issues are the integration of knowledge across academic disciplines and the accountability of science to society. Instead of adding new or external criteria for research evaluation, I argue, these goals can be pursued by subjecting disciplinary priorities and procedures to broader scrutiny from the rest of academia. From a social epistemological perspective, the paper discusses interdisciplinarity as a mode of epistemic accountability across disciplinary boundaries, which promises to make academia more than the sum of its disciplinary (...) parts. Drawing on discussions of interdisciplinarity and accountability in knowledge production, as well as on empirical findings of the evaluation of research proposals, the paper unpacks the notion of academic accountability into three dimensions—the recipients, contents, and practices of accountability—and illustrates the difference interdisciplinarity makes in each dimension. The analysis shows that interdisciplinarity is not simply a category of.. (shrink)

The concept of an extended cognitive system is central to contemporary studies of cognition. In the paper I analyze the place of the epistemic subject within the extended cognitive system. Is it extended as well? In answering this question I focus on the differences between the first and the second wave of arguments for the extended mind thesis. I argue that the position of Cognitive Integration represented by Richard Menary is much more intuitive and fruitful in analyses of cognition and (...) knowledge than the early argument formulated by Andy Clark and David Chalmers. Cognitive Integration is compatible with virtue epistemology of John Greco’s agent reliabilism. The epistemic subject is constituted by its cognitive character composed of an integrated set of cognitive abilities and processes. Some of these processes are extended, they are a manipulation of external informational structures and, as such, they constitute epistemic practices. Epistemic practices are normative; to conduct them correctly the epistemic subject needs to obey epistemic norms embedded in the cultural context. The epistemic subject is not extended because of the casual coupling with external informational artifacts which extend his mind from inside the head and into the world. Rather, cognitive practices constitute the subject’s mind, they transform his cognitive abilities, and this is what makes the mind and epistemic subject “extended”. (shrink)

Combining active externalism in the form of the extended and distributed cognition hypotheses with virtue reliabilism can provide the long sought after link between mainstream epistemology and philosophy of science. Specifically, by reading virtue reliabilism along the lines suggested by the hypothesis of extended cognition, we can account for scientific knowledge produced on the basis of both hardware and software scientific artifacts. Additionally, by bringing the distributed cognition hypothesis within the picture, we can introduce the notion of epistemic group agents, (...) in order to further account for collective knowledge produced on the basis of scientific research teams. (shrink)

Novel computational representations, such as simulation models of complex systems and video games for scientific discovery, are dramatically changing the way discoveries emerge in science and engineering. The cognitive roles played by such computational representations in discovery are not well understood. We present a theoretical analysis of the cognitive roles such representations play, based on an ethnographic study of the building of computational models in a systems biology laboratory. Specifically, we focus on a case of model-building by an engineer that (...) led to a remarkable discovery in basic bioscience. Accounting for such discoveries requires a distributed cognition analysis, as DC focuses on the roles played by external representations in cognitive processes. However, DC analyses by and large have not examined scientific discovery, and they mostly focus on memory offloading, particularly how the use of existing external representations changes the nature of cognitive tasks. In contrast, we study discovery processes and argue that discoveries emerge from the processes of building the computational representation. The building process integrates manipulations in imagination and in the representation, creating a coupled cognitive system of model and modeler, where the model is incorporated into the modeler's imagination. This account extends DC significantly, and we present some of the theoretical and application implications of this extended account. (shrink)

Nanotechnology thrives in the realm of the virtual. Throughout its history, the field has been shaped by futuristic visions of technological revolution, hyperbolic promises of scientific convergence at the molecular scale, and science fiction stories of the world rebuilt atom by atom. Even today, amid the welter of innovative nanomaterials that increasingly appear in everyday consumer products—the nanoparticles enhancing our sunscreens, the carbon nanotubes strengthening our tennis rackets, the antimicrobial nano-silver lining our socks, the nanofilms protecting our wrinkle-free trousers—the public (...) rhetoric of nanotechnology constantly reminds us that such precision-engineered materials merely represent a trace or a premonition of the amazing future still to come... (shrink)

The new terrorism is a major exemplifying case for complexity theory – for example, it exemplifies major disproportionalities between cause and effect, unpredictable outcomes, and self-organizing, emergent structures. It also illustrates, I argue in this article, the emergence of global microstructures: of forms of connectivity and coordination that combine global reach with microstructural mechanisms that instantiate self-organizing principles and patterns. Global systems based on microstructural principles do not exhibit institutional complexity but rather the asymmetries, unpredictabilities and playfulness of complex (and (...) dispersed) interaction patterns. The analysis of complex global microstructures helps to collect and assess empirical evidence for the architecture of the global structural forms of a world society. It also suggests a theory of microglobalization – the view that the texture of a global world becomes articulated through microstructural patterns that develop in the shadow of (but liberated from) national and local institutional patterns. (shrink)

The concept of natural kind is center stage in the debates about scientific realism. Champions of scientific realism such as Richard Boyd hold that our most developed scientific theories allow us to “cut the world at its joints” (Boyd, 1981, 1984, 1991). In the long run we can disclose natural kinds as nature made them, though as science progresses improvements in theory allow us to revise the extension of natural kind terms.

Many science systems are witnessing the rise of intermediary organizations with a coordinating mission, but to date a systematic understanding of their function and effects is lacking. The aim of this paper is to contribute to the understanding of the coordinating efforts of intermediary organizations. Starting from the definition of coordination as the establishment or strengthening of a relationship among the activities in a system, with the aim to enhance their common effectiveness, I develop a heuristic framework that facilitates the (...) systematic analysis of coordination in science. I illustrate and substantiate my framework with the empirical case study of a Dutch coordination task force in the area of chemical technologies. Thanks to the framework I could disentangle a number of functions that this task force fulfils concerning research programming, funding allocation and supporting interactions and collaborations. This approach enabled me to systematically analyse a very heterogeneous set of processes that each deserve to be called coordination. The analysis yields a clear overview of eight coordination processes that are each described in terms of activities, intervention, relationships, mechanisms and performance. I conclude my paper with suggestions for further research on coordination in the science system. (shrink)