Many science teachers are presented with the challenge of characterizing science as a dynamic, human endeavour. Perspectivism, as a hermeneutic philosophy of science, has the potential to be a learning tool for teachers as they elucidate the complex nature of science. Developed earlier by Nietzsche and others, perspectivism has recently re-emerged in the context of the philosophy of science in the work of Ronald Giere. Giere presents a compelling case that scientific theories and scientific observation are perspectival by using science (...) itself. There are many tangible examples already present in science textbooks which, when approached in a certain way, offer an exciting opportunity for a realistic incorporation of philosophy of science into the classroom. Furthermore, introducing perspectivism to students necessitates an engagement with notions such as truth, reality, perception and experimentation, through a familiar medium, while painting a nuanced conception of the nature of science. (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)

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)

Ronald Giere embraces the perspective of distributed cognition to think about cognition in the sciences. I argue that his conception of distributed cognition is flawed in that it bears all the marks of its predecessor; namely, individual cognition. I show what a proper (i.e. non-individual) distributed framework looks like, and highlight what it can and cannot do for the philosophy of science.

The epistemic subject of collective scientific knowledge has been a matter of dispute in recent philosophy of science and epistemology. Following the distributed cognition framework, both collective-subject accounts (most notably by Knorr-Cetina, in _Epistemic Cultures_, Harvard University Press, 1999) as well as no-subject accounts of collective scientific knowledge (most notably by Giere, Social Epistemology 21:313–320, 2007; in Carruthers, Stich, Siegal (eds), _The Cognitive Basis of Science_, Cambridge University Press, 2002a) have been offered. Both strategies of accounting for collective knowledge are (...) problematic from the perspective of mainstream epistemology. Postulating genuinely collective epistemic subjects is a high-commitment strategy with little clear benefit. On the other hand, eliminating the epistemic subject radically severs the link between knowledge and knowers. Most importantly, both strategies lead to the undesirable outcome that in some cases of scientific knowledge there might be no individual knower that we can identify. I argue that distributed cognition offers us a fertile framework for analyzing complex socio-technical processes of contemporary scientific knowledge production, but scientific knowledge should nonetheless be located in individual knowers. I distinguish between the production and possession of knowledge, and argue that collective knowledge is collectively produced knowledge, not collectively possessed knowledge. I then propose an account of non-testimonial, expert scientific knowledge which allows for collectively produced knowledge to be known by individuals. (shrink)

Much scientific research is characterized by a high degree of multidisciplinarity and interdependence between the experts. In these cases research may be described as a group activity, and as such analysed in terms of the intentions of the participants. In this paper I apply Bratman's notion of shared intentionality to explain the relations between social and epistemic elements in groups with a truth-oriented common goal. I argue that in truth-oriented activities the disposition to help – which is a constitutive part (...) of Bratman's notion of shared intentionality – takes the form of a commitment not to lie, and that mutual knowledge of this commitment gives the members an entitlement to rely on other members' testimonies. Thus, in truth-oriented group activities, common knowledge of the disposition toward mutual support gives epistemic relevance to cooperation. Scientific research is shaped by the coexistence of social and epistemic elements: social relations influence knowledge attributions, and the epistemic goal of the activity confers a particular character to these relations. (shrink)

Distributed cognition (d-cog) claims that many cognitive processes are distributed across groups and the surrounding material and cultural environment. Recently, Nancy Nersessian, Ronald Giere, and others have suggested that a d-cog approach might allow us to bring together cognitive and social theories of science. I explore this idea by focusing on the specific interpretation of d-cog found in Edwin Hutchins' canonical text Cognition in the wild. First, I examine the scope of a d-cog approach to science, showing that there are (...) important disputes between cognitive and social theorists on which d-cog remains silent. Second, I suggest that, where social explanations can be recast in d-cog terms, this reformulation will not be acceptable to all social theorists. Finally, I ask how we should make sense of the claim that, on a d-cog analysis, social factors are cognitive factors. (shrink)

A computer can come to understand natural language the same way Helen Keller did: by using “syntactic semantics”—a theory of how syntax can suffice for semantics, i.e., how semantics for natural language can be provided by means of computational symbol manipulation. This essay considers real-life approximations of Chinese Rooms, focusing on Helen Keller’s experiences growing up deaf and blind, locked in a sort of Chinese Room yet learning how to communicate with the outside world. Using the SNePS computational knowledge-representation system, (...) the essay analyzes Keller’s belief that learning that “everything has a name” was the key to her success, enabling her to “partition” her mental concepts into mental representations of: words, objects, and the naming relations between them. It next looks at Herbert Terrace’s theory of naming, which is akin to Keller’s, and which only humans are supposed to be capable of. The essay suggests that computers at least, and perhaps non-human primates, are also capable of this kind of naming. (shrink)

Massive Open Online Courses (MOOCs) have, in recent years, become increasingly popular. An important challenge facing MOOCs is the ‘teacher bandwidth problem’: In the MOOC environment, where there are potentially hundreds of thousands of students, it is impossible for a few teachers to interact with individual students—there is not enough ‘teacher bandwidth’. According to Siemens and Downes’s theory of ‘connectivism’ (Siemens, 2004) one can make up for the lack of teacher bandwidth by relying on collaboration between students; philosophically speaking, however, (...) this theory is underdeveloped. In this paper, we consider the question of learner collaboration in online courses, and the theory of connectivism, from the perspective of social epistemology. We note the similarities between Siemens and Downes’s theory and virtue reliabilist theories of epistemic collaboration more broadly. Our paper has two main aims. First, we offer an illustration of how it is possible to conceptualise learner collaboration in online settings as analogous to collaboration between scientists. Second, we attempt to expand on and clarify what Siemens and Downes had in mind when they proposed the theory of connectivism. (shrink)

The aim of this paper is to demonstrate that the postulation of irreducible, distributed cognitive systems is necessary for the successful explanatory practice of cognitive science and sociology. Towards this end, and with an eye specifically on the phenomenon of distributed cognition, the debate over reductionism versus emergence is examined from the perspective of Dynamical Systems Theory. The motivation for this novel approach is threefold. Firstly, DST is particularly popular amongst cognitive scientists who work on modelling collective behaviors. Secondly, DST (...) can deliver two distinct arguments in support of the claim that the presence of mutual interactions between group members necessitates the postulation of the corresponding group entity. Thirdly, DST can also provide a succinct understanding of the way group entities exert downward causation on their individual members. The outcome is a naturalist account of the emergent, and thereby irreducible, nature of distributed cognitive systems that avoids the reductionists’ threat of epiphenomenalism, while being well in line with materialism. (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)

Strong epistemic anti-individualism—i.e., the claim that knowledge can be irreducibly social—is increasingly debated within mainstream and social epistemology. Most existing approaches attempt to argue for the view on the basis of aggregative analyses, which focus on the way certain groups aggregate the epistemic attitudes of their members. Such approaches are well motivated, given that many groups to which we often ascribe group knowledge—such as juries and committees—operate in this way. Yet another way that group knowledge can be generated is on (...) the basis of epistemic collaborations, such as scientific research teams and Transactive Memory Systems. To produce knowledge, epistemic collaborations rely heavily on the mutual interactions of their group members. This is a distinctive feature of epistemic collaborations that renders them resistant to aggregative analyses. To accommodate this kind of group knowledge, the paper combines virtue reliabilism with the hypothesis of distributed cognition in order to introduce the hybrid approach of distributed virtue reliabilism. On this view, beliefs produced by epistemic collaborations entertain positive epistemic standing in virtue of the mutual interactions of their group members; this positive epistemic standing is a collective property; epistemic collaborations qualify as epistemic group agents; collaborative knowledge is a special kind of group knowledge, motivating strong epistemic anti-individualism in a distinctive way. (shrink)

Strong epistemic anti-individualism—i.e., the claim that knowledge can be irreducibly social—is increasingly debated within mainstream and social epistemology. Most existing approaches attempt to argue for the view on the basis of aggregative analyses, which focus on the way certain groups aggregate the epistemic attitudes of their members. Such approaches are well motivated, given that many groups to which we often ascribe group knowledge—such as juries and committees—operate in this way. Yet another way that group knowledge can be generated is on (...) the basis of epistemic collaborations, such as scientific research teams and Transactive Memory Systems. To produce knowledge, epistemic collaborations rely heavily on the mutual interactions of their group members. This is a distinctive feature of epistemic collaborations that renders them resistant to aggregative analyses. To accommodate this kind of group knowledge, the paper combines virtue reliabilism with the hypothesis of distributed cognition in order to introduce the hybrid approach of distributed virtue reliabilism. On this view, beliefs produced by epistemic collaborations entertain positive epistemic standing in virtue of the mutual interactions of their group members; this positive epistemic standing is a collective property; epistemic collaborations qualify as epistemic group agents; collaborative knowledge is a special kind of group knowledge, motivating strong epistemic anti-individualism in a distinctive way. (shrink)

Within analytic philosophy, the existence of collective knowledge has been motivated by means of two apparently distinct, and in direct competition with one another, theoretical approaches: (i) the commitment model and (ii) the distributed model. This paper agues, however, that to fully account for collaborative knowledge—i.e., a special kind of collective knowledge—both models are required. In other words, there is at least one kind of collective knowledge, the account of which requires treating the two models not as competitors but as (...) complementary to each other. If that’s correct, not only can we gain a deeper understanding of the specifics surrounding collaborative knowledge but also a clearer picture of the broader debate surrounding collective knowledge. (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)

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

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)

In recent years, the idea has been gaining ground that our traditional conceptions of knowledge and cognition are unduly limiting, in that they privilege what goes on inside the ‘skin and skull’ of an individual reasoner. Instead, it has been argued, knowledge and cognition need to be understood as embodied, situated, and extended. Whether these various interrelations and dependencies are ‘merely’ causal, or are in a more fundamental sense constitutive of knowledge and cognition, is as much a matter of controversy (...) as the degree to which they pose a challenge to ‘traditional’ conceptions of cognition, knowledge and the mind. In this paper we argue that when the idea of ‘extendedness’ is applied to a core concept in epistemology and the philosophy of science—namely, scientific evidence—things appear to be on a much surer footing. The evidential status of data gathered through extended processes—including its utility as justification or warrant—do not seem to be weakened by virtue of being extended, but instead are often strengthened because of it. Indeed, it is often precisely by virtue of this extendedness that scientific evidence grounds knowledge claims, which individuals may subsequently ascribe to themselves. The functional equivalence between machine-based gathering, filtering, and processing of data and human interpretation and assessment is the crucial factor in deciding whether evidence has been gathered, rather than the distinction between intra- and extracranial processes or individual and social processes. To prioritize biological processes here, and to assert the superiority of human cognitive capacities seems both arbitrary and unwarranted with respect to gathering evidence, and ultimately would lead to an unattractive skepticism about many of the methods used in science to gather evidence. In other words, conceiving of scientific evidence as ‘impersonal’ not only better captures the character of evidence-gathering in practice, but also makes sense of a large amount of evidence-gathering that ‘personal’ accounts fail to either acknowledge or accurately describe. Whilst we suggest it is likely that all internally-distributed evidence-gathering processes are merely contingently internal processes, a significant number of externally-distributed evidence-gathering processes are necessarily externally-distributed. Some evidence can only be gathered by extended epistemic agents. (shrink)

How a group G can know that p has been the subject of much investigation in social epistemology in recent years. This paper clarifies and defends a form of non-supervenient, non-summative group knowledge: G can know that p even if none of the members of G knows that p, and whether or not G knows that p does not locally supervene on the mental states of the members of G. Instead, we argue that what is central to G knowing that (...) p is whether G has an epistemic structure that is functioning appropriately in accord with the action-related purposes of the group, and this structure may include non-agential elements such as devices that retain or process information. We argue that recent objections to non-summative group knowledge given by Jennifer Lackey do not in fact succeed in undermining the view, but do help to clarify the nature of non-summative group knowledge. The main upshot of our response to Lackey’s objections is that groups put their knowledge into action in ways that often differ from how individuals do so, and social epistemologists should be careful to notice these differences, especially insofar as groups often structure themselves by employing various epistemically-relevant devices. (shrink)

Machine learning models are becoming increasingly prevalent in algorithmic trading and investment management. The spread of machine learning in finance challenges existing practices of modelling and model use and creates a demand for practical solutions for how to manage the complexity pertaining to these techniques. Drawing on interviews with quants applying machine learning techniques to financial problems, the article examines how these people manage model complexity in the process of devising machine learning-powered trading algorithms. The analysis shows that machine learning (...) quants use Ockham’s razor – things should not be multiplied without necessity – as a heuristic tool to prevent excess model complexity and secure a certain level of human control and interpretability in the modelling process. I argue that understanding the way quants handle the complexity of learning models is a key to grasping the transformation of the human’s role in contemporary data and model-driven finance. The study contributes to social studies of finance research on the human–model interplay by exploring it in the context of machine learning model use. (shrink)

In previous publications I have argued that much scientific activity should be thought of as involving the operation of distributed cognitive systems. Since these contributions to the cognitive study of science appear in venues not necessarily frequented by philosophers of science, I begin with a brief introduction to the notion of a distributed cognitive system. I then describe what I take to be an exemplary case of a scientific distributed cognitive system, the Hubble Space Telescope (HST). I do not here (...) reargue the case for conceiving of systems like the HST as distributed cognitive systems. Rather, I examine a question that arises once one has adopted the perspective of distributed cognitive systems, namely, the role of agency in a distributed cognitive system. Here I argue, contrary to several advocates of distributed cognitive systems, that we should regard the human components of distributed cognitive systems as the only sources of agency within such systems. In particular, we should not extend notions of agency to such systems as a whole. (shrink)

Kristina Rolin and Brad Wray agree with an increasing number of epistemologists that knowledge can sometimes be attributed to a group and to none of its individual members. That is, collective knowledge sometimes obtains. However, Rolin charges Wray with being too restrictive about the kinds of groups to which he attributes collective knowledge. She rejects Wray’s claim that only scientific research teams can know while the general scientific community cannot. Rolin forwards a ‘default and challenge’ account of epistemic justification toward (...) her argument that even the general scientific community can know because it’s sometimes the general scientific community, and none of its individual members, that attains epistemic justification. I argue that Rolin faces a dilemma: either she must herself be more restrictive about the kinds of groups to which she attributes collective knowledge or she must concede the general claim that collective knowledge obtains at all. (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)

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)

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)

This article examines the revisionist role that current debates and philosophical positions on extended cognition might play for the historian of science, and uses as its case study August Kekulé’s formulation of the benzene molecule’s structure, including the dreams that Kekulé reported as the origin of his model. It builds on the notion of engaging philosophical positions through the historiography of nineteenth-century chemistry, but also examines some of the implications of the history of science for extended cognition. While an extended (...) cognition approach to Kekulé’s use of graphics and visual materials is promising, I argue that there is less usefulness for the idea of collective cognition. Instead I advocate using detailed historical studies to test theories of extended cognition. (shrink)

In this paper, the different theories about science and technology relationships are analyzed. All of them have some virtues, but also one main defect: these theories do not take into account other well-founded possible relationships. The origin of this problem is the narrow view about science and technology. In this paper another characterization about technology based on Ronald Giere’s perspective is suggested. In the light of this new description, six different relationships between science and technology arise. Some of these relations (...) had been explained in the before analyzed theories, but others emerge from the new portrayal. (shrink)

I examine two challenges that collaborative research raises for science. First, collaborative research threatens the motivation of scientists. As a result, I argue, collaborative research may have adverse effects on what sorts of things scientists can effectively investigate. Second, collaborative research makes it more difficult to hold scientists accountable. I argue that the authors of multi-authored articles are aptly described as plural subjects, corporate bodies that are more than the sum of the individuals involved. Though journal editors do not currently (...) conceive of the authors of multi-authored articles this way, this conception provides us with the conceptual resources to make sense of how collaborating scientists behave.Keywords: Collaborative research; Authorship; Multi-authored articles; Responsibility; Reward system; Plural subject. (shrink)

Large research collaborations constitute an increasingly prevalent form of social organization of research activity in many scientific fields. In the last decades, the concept of distributed cognition has provided a suitable basis for thinking about collective knowledge in the philosophy of science. Karin Knorr-Cetina’s and Ronald Giere’s analyses of high energy physics experiments are the most prominent examples. Although they both conceive the processes of knowledge production in these experiments in terms of distributed cognition, their accounts regarding the epistemic subject (...) of knowledge thus produced are quite different. While Knorr-Cetina argues for an irreducibly collective subject, Giere argues for eliminating the epistemic subject and opting for using the passive voice in describing collectively produced knowledge. Neither of these views are easy to assimilate within an epistemological account, since epistemology traditionally operates within an individualist framework. They both entail that we should deny knowledge to individuals when the processes of knowledge production are distributed. I will argue that epistemology should be extended in a way that can accommodate collectively produced knowledge, but that we would have a serious problem if we deny scientific knowledge to individuals. If the members of a large collaboration cannot be said to know, we have to accept the absurd conclusion that either no one or only a supra-individual entity learns from the most successful research collaborations we have. I will argue instead for conceiving research collaborations in terms of a cognitive system that produces knowledge, which can eventually be possessed by constituent individuals when certain conditions are met. Firstly, the distributed research process should be reliable in producing scientific evidence and secondly, there should be a reliable distributed process of criticism for scrutinizing the reliability of the scientific evidence that is collectively produced. I will analyze both conditions in terms of distributed first-order and second-order justification, where I put forward a reliabilist account of justification that is compatible with epistemic dependence. I will conclude that the notion of justified epistemic dependence enables us to attribute knowledge to individuals when knowledge production is irreducibly social. (shrink)