Scientific Discovery

Susan Haack criticises the US courts' use of Karl Popper's epistemology in discriminating acceptable scientific testimony. She claims that acceptable testimony should be reliable and that Popper's epistemology is useless in discriminating reliability. She says that Popper's views have been found acceptable only because they have been misunderstood and she indicates an alternative epistemology which she says can discriminate reliable theories. However, her account of Popper's views is a gross and gratuitous misrepresentation. Her alternative epistemology cannot do what she claims (...) for it. The courts should not be concerned with reliability and, insofar as they use the term 'reliability,' it should be construed in a procedural rather than a substantive sense. Since Popper's epistemology gives something like a characterisation of science at its best, the courts should continue to invoke Popper's theories in their discrimination of acceptable testimony. (shrink)

Three new versions of Wason’s 2-4-6 rule discovery task incorporating error rates or feedback of uncertainty reduction, inspired by the error-statistical account in philosophy of science, were employed. In experiments 1 and 2, participants were instructed that some experimenter feedback would be erroneous (control was original 2-4-6 without error). The results showed that performance was impaired when there was probabilistic error. In experiment 3, participants were given uncertainty reduction feedback as they generated different number triples and the negative effects of (...) probabilistic error were not observed. These findings are informative not only about rule discovery tasks in general but also about contexts of inference under uncertainty. (shrink)

What kinds of norms constrain mechanistic discovery and explanation? In the mechanistic literature, the norms for good explanations are directly derived from answers to the metaphysical question of what explanations are. Prominent mechanistic accounts thus emphasize either ontic or epistemic norms. Still, mechanistic philosophers on both sides agree that there is no sharp distinction between the processes of discovery and explanation. Thus, it seems reasonable to expect that ontic and epistemic accounts of explanation will be accompanied by ontic and epistemic (...) accounts of discovery, respectively. As we will show here, however, recent discovery accounts implicitly rely on both ontic and epistemic norms to characterize the discovery process. In this paper, we develop an account that makes explicit that, and how, ontic and epistemic norms work together throughout the discovery process. By describing mechanism discovery as a process of pattern recognition we demonstrate that scientists have to develop epistemic activities to distinguish a pattern from its background. Furthermore, they have to determine which epistemic activities successfully describe how the pattern is implemented by identifying the pattern’s components. Our approach reveals that ontic and epistemic norms are equally important in mechanism discovery. (shrink)

Geographic Information Science (GIS) is an interdisciplinary science aiming to detect and visually represent patterns in spatial data. GIS is used by businesses to determine where to open new stores and by conservation biologists to identify field study locations with relatively little anthropogenic influence. Products of GIS include topographic and thematic maps of the Earth’s surface, climate maps, and spatially referenced demographic graphs and charts. In addition to its social, political, and economic importance, GIS is of intrinsic philosophical interest due (...) to its methodological richness and because it is an instructive analogue to other sciences. This chapter works towards a philosophy of GIS and cartography, or PGISC. In particular, it examines practices of classifying geographic space, objects, and relations. By focusing on the use of natural kinds in data modeling and map generalization practices, I show how the making and using of kinds is contextual, fallible, plural, and purposive. (shrink)

Scientific progress depends crucially on scientific discoveries. Yet the topic of scientific discoveries has not been central to debate in the philosophy of science. This book aims to remedy this shortcoming. Based on a broad reading of the term “science” (similar to the German term “Wissenschaft”), the book convenes experts from different disciplines who reflect upon several intertwined questions connected to the topic of making scientific discoveries. -/- Among these questions are the following: What are the preconditions for making scientific (...) discoveries? What is it that we (have to) do when we make discoveries in science? What are the objects of scientific discoveries, how do we name them, and how do scientific names function? Do discoveries in, say, physics and biology, share an underlying structure, or do they differ from each other in crucial ways? Are other fields such as theology and environmental studies loci of scientific discovery? What is the purpose of making scientific discoveries? Explaining nature or reality? Increasing scientific knowledge? Finding new truths? If so, how can we account for instructive blunders and serendipities in science? -/- In the light of the above, the following is an encompassing question of the book: What does it mean to make a discovery in science, and how can scientific discoveries be distinguished from non-scientific discoveries? (shrink)

Jan G. Michel argues that we need a philosophy of scientific discovery. Before turning to the question of what such a philosophy might look like, he addresses two questions: Don’t we have a philosophy of scientific discovery yet? And do we need one at all? To answer the first question, he takes a closer look at history and finds that we have not had a systematic philosophy of scientific discovery worthy of the name for over 150 years. To answer the (...) second question, Michel puts forward three arguments that show the importance of a philosophy of scientific discovery. Briefly, he arrives at the following answers: No, we don’t yet have a philosophy of scientific discovery, and yes, we definitely need one. To remedy this shortcoming, Michel analyzes the concept of discovery, leading him to the insight that scientific discoveries have an underlying structure with certain structural features. Some of these features may be important but not indispensable to scientific discovery processes; these include eureka moments, serendipities, joint discoveries, special science funding, and others. In addition, Michel identifies three indispensable structural features which he examines in detail and which he places in a picture with a certain dynamics according to which the process of making scientific discoveries can be seen as a path, leading us from finding and acceptance to knowledge. (shrink)

In 1981, David Hubel and Torsten Wiesel received the Nobel Prize for their research on cortical columns—vertical bands of neurons with similar functional properties. This success led to the view that “cortical column” refers to the basic building block of the mammalian neocortex. Since the 1990s, however, critics questioned this building block picture of “cortical column” and debated whether this concept is useless and should be replaced with successor concepts. This paper inquires which experimental results after 1981 challenged the building (...) block picture and whether these challenges warrant the elimination “cortical column” from neuroscientific discourse. I argue that the proliferation of experimental techniques led to a patchwork of locally adapted uses of the column concept. Each use refers to a different kind of cortical structure, rather than a neocortical building block. Once we acknowledge this diverse-kinds picture of “cortical column”, the elimination of column concept becomes unnecessary. Rather, I suggest that “cortical column” has reached conceptual retirement: although it cannot be used to identify a neocortical building block, column research is still useful as a guide and cautionary tale for ongoing research. At the same time, neuroscientists should search for alternative concepts when studying the functional architecture of the neocortex. keywords: Cortical column, conceptual development, history of neuroscience, patchwork, eliminativism, conceptual retirement. (shrink)

Within science fiction the topic of ‘first contact’ is a popular theme. How will an encounter with aliens unfold? Will we succeed in communicating with them? Although such questions are present in the background of many science fiction novels, they are not always explicitly dealt with and even if so, often in a poor way. In this article, I will introduce a typology of five dominant types of solutions to the problem of first contact in science fiction works. The first (...) four solutions are the more dominant, but also the least interesting ones. There is a fifth category that addresses the question of first contact in a more interesting way, exemplified by the work of Stanisław Lem. This fifth option defines itself as a critique of the four previous categories, or of their shared assumption of what Lem (1967) has called ‘the myth of cognitive universality’. Lem is sceptical of the common optimism that first contact will always be successful. In books such as Solaris (1961), His Master’s Voice (1967) and Fiasco (1986), humanity makes first contact with an alien phenomenon, but fails to comprehend the phenomenon. Fundamentally, it will be argued that Lem’s work shows that in such an encounter we will typically not only lack the right answers to our questions, but that we also often lack the correct questions: we simply do not have the right categories or instruments to even recognize, let alone meaningfully interrogate, the alien phenomenon. The article ends with an exploration of the implications of Lem’s pessimism and whether it is the most plausible option for first contact. Moreover, the article will draw some lessons for philosophy of science, by exploring the parallel with the confrontation of novel or deviant phenomena in science. Lem’s work is helpful here because it succeeds in articulating what has not always been appreciated in the philosophy of science, namely that the right questions by which to interrogate scientific phenomena are not given, but that their articulation always requires work. (shrink)

The focus of this article is a question that has been neglected in debates about digitalization: Could machines replace human scientists? To provide an intelligible answer to it, we need to answer a further question: What is it that makes (or constitutes) a scientist? I offer an answer to this question by proposing a new demarcation criterion for science which I call “the discoverability criterion”. I proceed as follows: (1) I explain why the target question of this article is important, (...) and (2) show that it leads to a variant of the demarcation problem of science. (3) By arguing that it is probably an essential feature of science that we can make scientific discoveries, I suggest a novel way of dealing with this problem by proposing a new demarcation criterion. Before introducing it, (4) I analyze an exemplary case of a real scientific discovery, and (5) argue that scientific discovery processes have a general underlying structure. (6) I introduce my discoverability criterion for science and present my master argument that helps us understand which criteria have to be fulfilled in order to decide whether machines can replace human scientists or not. (7) I conclude by answering the article’s target question and bringing forward a take-home message. (shrink)

[Comment] I am sympathetic to Avner de Shalit’s position that a political philosophy should incorporate public values, but I see their role differently. Philosophers of science standardly distinguish between values being introduced in the context of discovery (inputs into the investigation or arguments) and in the context of justification (acceptance or rejection of substantive claims in light of the arguments or investigation). I argue that de Shalit is wrong to put the public values in the context of discovery; with respect (...) to normative theories (such as political theories), the values should be introduced in the context of justification. [Open access]. (shrink)

This article reconstructs the development of Kurt Walter Zeidler's argument for a reformulation of Kant's transcendental dialectic as a theory of the foundation of transcendental logic. It therefore examines his doctoral dissertation "Logik des Erkenntnisprozesses. Dedukton - Induktion - Abduktion" (1979), where he discusses Norwood Russell Hansons 'logic of discovery' and finds an analogy between Charls S. Peirce's definiton of 'abduction' and Hegel's defintion of 'analogy', as well as his early papers, collected in "Grundlegungen. Zur Theorie der Vernunft und Letztbegründung" (...) (2015), and his habilitation dissertation "Vernunft und Erfahrung. Untersuchungen zum Erkenntnisproblem in Philosophie und Wissenschaftstheorie" (1986), where he first seeks to verify the claim of Hegel and Peirce, that the synthetical unity of apperception is to be analyzed as a unity of three forms of syllogism corresponding to Aristotle's three figures of syllogism, through a close study of Kant's transcendental deduction of the categories as well as of the transcendental ideas, before he comes to reformulate these deductions in the light of the original unity of sensuality and understanding. The development of this argument is critically examined in three respects, first, in reference to Zeidler's reading of Peirce, Hegel and Schelling, second, with respect to Zeidler's analysis of scientific rationality as well as of the architectonic of the Critique of pure reason, and third, in view of the influence of Erhard Oeser and Erich Heintel on Zeidler's thought. (shrink)

In the process of scientific discovery, knowledge ampliation is pursued by means of non-deductive inferences. When ampliative reasoning is performed, probabilities cannot be assigned objectively. One of the reasons is that we face the problem of the unconceived alternatives: we are unable to explore the space of all the possible alternatives to a given hypothesis, because we do not know how this space is shaped. So, if we want to adequately account for the process of knowledge ampliation, we need to (...) develop an account of the process of scientific discovery which is not exclusively based on probability calculus. We argue that the analytic view of the method of science advocated by Cellucci is interestingly suited to this goal, since it rests on the concept of plausibility. In this perspective, in order to account for how probabilities are in fact assigned in uncertain contexts and knowledge ampliation is really pursued, we have to take into account plausibility-based considerations. (shrink)

In his account of scientific revolutions, Thomas Kuhn suggests that after a revolutionary change of theory, it is as if scientists are working in a different world. In this paper, we aim to show that the notion of world change is insightful. We contrast the reporting of the discovery of neon in 1898 with the discovery of hafnium in 1923. The one discovery was made when elements were identified by their atomic weight; the other discovery was made after scientists came (...) to classify elements by their atomic number. By considering two instances of the reporting of the discovery of a new chemical element 25 years apart, we argue that it becomes clear how chemists can be said to have been responding to different worlds as a result of the change in the concept of a chemical element. They saw, did, and reported different things as they conducted their research on the new chemical elements. (shrink)

In a recent work published in this journal, “Van Fraassen e a inferência da melhor explicação” (2016), Minikoski and Rodrigues da Silva identify four critical lines proposed by Bas van Fraassen against the form of abductive reasoning known as ‘inference to the best explanation’ (IBE). The first one, put forward by the Dutch philosopher in his seminal book The Scientific Image (1980), concerns the distinction between observable and unobservable entities. Minikoski and Rodrigues da Silva consider that the distinction is of (...) no relevance to the scientific practice. For this reason, they address van Fraassen’s allegations against IBE qua justification of the existence of unobservable entities in a couple of pages and prefer focusing on the other lines they identified. The aim of this work is to pour over the analysis that the two authors perform about van Fraassen’s mentioned argument and some realists’ replies, particularly in the section that Minikoski and Rodrigues da Silva devote to this topic. This will allow us to clarify van Fraassen’s vision on scientific practice and on the ‘immersion in the theoretical world-picture’. The importance and the relevance of the distinction between observables and unobservables will also be reaffirmed. (shrink)

The aim of this paper is twofold: The general aim is to shed light on the structure of species discoveries new to biology by bringing together a practice-oriented philosophy of science perspective with a philosophy of language perspective. The more specific aim is to argue that and to show how the overall structure of biological species discoveries comprises aspects of both institutional and non-institutional reality. The author proceeds as follows: he shows that placing the focus on the topic of scientific (...) discoveries enables us to circumvent two long-standing problems. He analyzes three fictional cases of discoveries in order to bring about a greater sensitivity for the concept of discovery. He takes a closer look at a real example – the discovery of a deep-sea anglerfish – and identifies the main structural features of species discovery processes in biology. In order to connect these results with Searle’s account of institutional reality, he provides an overview of the conceptual apparatus needed here. In bringing Searle’s account together with the structural features of species discoveries developed before, he shows to what extent declarative speech acts play a central role in species discovery processes in biology. (shrink)

The ocean terrain spanning the globe is vast and complex—far from an immense flat plain of mud. To map these depths accurately and wisely, we must understand how cartographic abstraction and generalization work both in analog cartography and digital GIS. This chapter explores abstraction practices such as selection and exaggeration with respect to mapping the oceans, showing significant continuity in such practices across cartography and contemporary GIS. The role of measurement and abstraction—as well as of political and economic power, and (...) sexual and personal bias—in these sciences is illustrated by the biographies of Marie Tharp and Bruce Heezen, whose mapping of the Mid-Atlantic Ridge precipitated a paradigm shift in geology. (shrink)

This book is a collection of eight in-depth and detailed research papers authored by Dr. Raman K Attri between 1996 to 2005. The book presents early-career scientific work by the author as a scientist at a research organization. The book provides the conceptual background and key electronics and mechanical design principles used in designing sensors and instrumentation systems to measure snow hydrological parameters. The systems discussed in this book can be used to measure snow depth, layer temperature, temperature distribution profile, (...) surface porosity, etc. The snow parameters measured from instruments and sensors discussed in this book are integrated into larger systems and are used in computer-driven models for snow avalanche predictions. The book presents the design challenges and design methods from electronics and instrumentation design point of view. While the book provides essential understanding of analog electronics design and associated mechanical design for snow hydrological sensors, the book also presents the background theoretical and mathematical models from snow hydrology physics that governs this electronics design. (shrink)

This book is a collection of three papers authored by Dr. Raman K Attri between 1999 to 2005. The book provides a theoretical and conceptual understanding of concepts and principles of detection and measurements of the seismic signal. The papers provide fundamental concepts in seismic instrumentation design. The first paper presents a simplified mathematical framework of the seismic events and backend computational software logic that will enable software engineers to develop a customized seismic analysis and computation software. The second paper (...) presents a simplified description of various earthquake parameters of interest to a seismologist and how these complex parameters are computed using equations. In the third paper, a visionary concept is presented to integrate geo-scientific instrumentation equipment such as seismic measurement systems to information technology network that would create a centralized web-enabled database that would allow to transmit the data acquired by geographically distributed but networked observatories to better predict or alert about the phenomena like earthquakes. (shrink)

These last decades, the many contributions to the literary output on science and religion have dealt with topics that are on the cutting edge of scientific discovery, topics mainly in the area of theoretical physics, cognitive science, and evolutionary biology. Philosophers of religion, responding to this trend, have therefore struggled with intricate arguments, and have often made use of the highly technical language of these sciences. The overall result was that truly original philosophical contributions, ones that present new perspectives regarding (...) this area, have been very rare. Of these few new research programs, one seems to be particularly promising, especially because of the way it has been throwing new light on how science relates to other disciplines. The originality of this research-area lies in the fact that it refers not to particular scientific discoveries, considered individually, but to the general dynamics of the practical side of science. The crucial concept is expertise, which involves the appeal to authority for the justification of arguments. Many people like to think that scientific knowledge is far from all this, that it is purely objective and that it floats way above the murky waters of subjectivism. Those who are directly involved in scientific practice however know that science is not so clean. Appeal to authority remains very much part of the natural sciences, whether we like it or not. Some philosophers have recently ventured into these somewhat dark caverns of scientific thought and practice, and the result of their work has become very significant. In this paper, I will first offer a brief overview of this philosophical work, and then explore how the new insights regarding scientific expertise and scientific appeal to authority can throw light not only on how science works but also on the issue of authoritative knowhow within the Church. To avoid getting lost within the dim world of abstract principles, I will focus on one particular concrete case, the one of Vatican astronomers. This is a particularly interesting case because this group’s complex role lies precisely at the intersection between theological and scientific expertise. (shrink)

For centuries the case of Galileo Galilei has been the cornerstone of every major argument against the church and its supposedly unscientific dogmatism. The church seems to have condemned Galileo for his heresies, just because it couldn’t and wouldn’t handle the truth. Galileo was a hero of science wrongfully accused and now – at last – everyone knows that. But is that true? This paper tries to examine the case from the point of modern physics and the conclusions drawn are (...) startling. It seems that contemporary church was too haste into condemning itself. The evidence provided by Galileo to support the heliocentric system do not even pass simple scrutiny, while modern physics has ruled for a long time now against both heliocentric and geocentric models as depictions of the “truth”. As Einstein eloquently said, the debate about which system is chosen is void of any meaning from a physics’ point of view. At the end, the selection of the center is more a matter of choice rather than a matter of ‘truth’ of any kind. And this choice is driven by specific philosophical axioms penetrating astronomy for hundreds of years now. From Galileo to Hubble, the Copernican principle has been slowly transformed to a dogma followed by all mainstream astronomers. It is time to challenge our dogmatic adherence to the anti-humanism idea that we are insignificant in the cosmos and start making true honest science again, as Copernicus once postulated. (shrink)

In this article, network science is discussed from a methodological perspective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex. Rather than using idealization techniques to strip those properties away, as is standard practice in other areas of science, network science brings them to the fore, and uses them to furnish new forms of explanation. The second thesis is that network representations are particularly helpful in explaining the properties (...) of non-decomposable systems. Where part-whole decomposition is not possible, network science provides a much-needed alternative method of compressing information about the behavior of complex systems, and does so without succumbing to problems associated with combinatorial explosion. The article concludes with a comparison between the uses of network representation analyzed in the main discussion, and an entirely distinct use of network representation that has recently been discussed in connection with mechanistic modeling. (shrink)

. Scientists, for the most part, want to get it right. However, the social structures that govern their work undermine that aim, and this leads to nonreplicable findings in many fields. Because the social structure of science is a decentralized system, it is difficult to intervene. In this article, I discuss how we might do so, focusing on self-corrective-labor schemes. First, I argue that we need to implement a scheme that makes replication work outcome independent, systematic, and sustainable. Second, I (...) use these three criteria to evaluate extant proposals, which place the responsibility for replication on original researchers, consumers of their research, students, or many labs. Third, on the basis of a philosophical analysis of the reward system of science and the benefits of the division of cognitive labor, I propose a scheme that satisfies the criteria better: the professional scheme. This scheme has two main components. First, the scientific community is organized into two groups: discovery researchers, who produce new findings, and confirmation researchers, whose primary function is to do confirmation work. Second, a distinct reward system is established for confirmation researchers so that their career advancement is separated from whether they obtain positive experimental results. (shrink)

In his late years, Thomas Kuhn became interested in the process of scientific specialization, which does not seem to possess the destructive element that is characteristic of scientific revolutions. It therefore makes sense to investigate whether and how Kuhn’s insights about specialization are consistent with, and actually fit, his model of scientific progress through revolutions. In this paper, I argue that the transition toward a new specialty corresponds to a revolutionary change for the group of scientists involved in such a (...) transition. I will clarify the role of the scientific community in revolutionary changes and characterize the incommensurability across specialties as possessing both semantic and methodological aspects. The discussion of the discovery of the structure of DNA will serve both as an illustration of my main argument and as reply to one criticism raised against Kuhn—namely, that his model cannot capture cases of revolutionary yet non-disruptive episodes of scientific progress. Revisiting Kuhn’s ideas on specialization will shed new light on some often overlooked features of scientific change. (shrink)

Science makes a substantial contribution to the economy of developing countries such as Vietnam and its costs must be put into perspective, argues Quan-Hoang Vuong.

A. W. F. Edwards is one of the most influential mathematical geneticists in the history of the discipline. One of the last students of R. A. Fisher, Edwards pioneered the statistical analysis of phylogeny in collaboration with L. L. Cavalli-Sforza, and helped establish Fisher's concept of likelihood as a standard of statistical and scientific inference. In this book, edited by philosopher of science Rasmus Grønfeldt Winther, Edwards's key papers are assembled alongside commentaries by leading scientists, discussing Edwards's influence on their (...) own research and on thinking in their field overall. In an extensive interview with Winther, Edwards offers his thoughts on his contributions, their legacy, and the context in which they emerged. This book is a resource both for anyone interested in the history and philosophy of genetics, statistics, and science, and for scientists seeking to develop new algorithmic and statistical methods for understanding the genetic relationships between and among species both extant and extinct. (shrink)

ABSTRACTThe distinction between ‘context of discovery’ and ‘context of justification’ in philosophy of science appears simple at first but contains interesting complexities. Paul Hoyningen-Huene has catalogued some of these complexities and suggested that the core usefulness of the ‘context distinction’ is in distinguishing between descriptive and normative perspectives. Here, I expand on Hoyningen-Huene’s project by tracing the label ‘context of discovery and context of justification’ to its origin. I argue that, contrary to initial appearances, Hans Reichenbach’s initial context distinction from (...) 1938 does not easily map onto Hoyningen-Huene’s distinction between descriptive and normative perspectives on science. However, this is not a reason to reject Hoyningen-Huene’s simplified context distinction, nor do I recommend returning to Reichenbach’s initial proposal. It is, however, further reason to believe that the context distinction does not have a single, easily understood meaning. Along the way, I revisit Reichenbach’s version of ‘rational reconstruction’ and highlight its usefulness as a tool for philosophy in general. (shrink)

In his still-authoritative history of science essay, Kuhn showed that scientific discoveries commence with awareness of anomaly that researchers initially struggle to notice. Kuhn drew on a psychological study to illustrate the problem. Bruner and Postman asked people to name playing cards on brief exposure. Most cards were normal, but some were anomalous, such as a red six of spades and a black four of hearts. On brief exposure all participants fitted the anomalous cards unhesitatingly into their existing cognitive scheme, (...) identifying them as, for example, a six of spades or a four of hearts. With longer exposures subjects began to hesitate: ‘That’s a six of... (shrink)

‘Serendipity’ is a category used to describe discoveries in science that occur at the intersection of chance and wisdom. In this paper, I argue for understanding serendipity in science as an emergent property of scientific discovery, describing an oblique relationship between the outcome of a discovery process and the intentions that drove it forward. The recognition of serendipity is correlated with an acknowledgment of the limits of expectations about potential sources of knowledge. I provide an analysis of serendipity in science (...) as a defense of this definition and its implications, drawing from theoretical and empirical research on experiences of serendipity as they occur in science and elsewhere. I focus on three interrelated features of serendipity in science. First, there are variations of serendipity. The process of serendipitous discovery can be complex. Second, a valuable outcome must be obtained before reflection upon the significance of the unexpected observation or event in respect to that outcome can take place. Therefore, serendipity is retrospectively categorized. Third, the primacy of epistemic expectations is elucidated. Finally, I place this analysis within discussions in philosophy of science regarding the impact of interpersonal competition upon the number and significance of scientific discoveries. Thus, the analysis of serendipity offered in this paper contributes to discussions about the social-epistemological aspects of scientific discovery and has normative implications for the structure of epistemically effective scientific communities. (shrink)

This is the outline: 1. Introduction 2. La compréhension théorique – 2.1 Le dynamisme conceptuel et l'a priori 2.2 L'horizon conceptuel – 3. Compréhension et singularité 4. La production de signifiance 5. La présence du mystère 6. Le problème de la substantialité : l'un et le multiple – 6.1 La notion d'un ordre implicite.

REVIEW (1): "Jeff Kochan’s book offers both an original reading of Martin Heidegger’s early writings on science and a powerful defense of the sociology of scientific knowledge (SSK) research program. Science as Social Existence weaves together a compelling argument for the thesis that SSK and Heidegger’s existential phenomenology should be thought of as mutually supporting research programs." (Julian Kiverstein, in Isis) ---- REVIEW (2): "I cannot in the space of this review do justice to the richness and range of Kochan's (...) discussion [...]. There is a great deal in this foundational portion of Kochan's discussion that I find tremendously interesting and engaging [...]." (David R. Cerbone, in Studies in History and Philosophy of Science) ---- REVIEW (3): "Science as Social Existence will be of interest not only to Heidegger scholars but to anyone engaged in science and technology studies. [...] This is an informative and original book. Kochan should be praised for his clear, pleasant-to-read prose." (Michael Butler, in CHOICE). (shrink)

This paper employs a case study from the history of neuroscience—brain reward function—to scrutinize the inductive argument for the so-called ‘Heuristic Identity Theory’ (HIT). The case fails to support HIT, illustrating why other case studies previously thought to provide empirical support for HIT also fold under scrutiny. After distinguishing two different ways of understanding the types of identity claims presupposed by HIT and considering other conceptual problems, we conclude that HIT is not an alternative to the traditional identity theory so (...) much as a relabeling of previously discussed strategies for mechanistic discovery. (shrink)

I reconstruct the discovery of the Higgs boson by the ATLAS collaboration at CERN as the application of a series of inferences from effects to causes. I show to what extent such diagnostic causal inferences can be based on well established knowledge gained in previous experiments. To this extent, causal reasoning can be used to infer the existence of entities, rather than just causal relationships between them. The resulting account relies on the principle of causality, attributes only a heuristic role (...) to the theory’s predictions, and shows how, and to what extent, data selection can be used to exclude alternative causes, even “unconceived” ones. (shrink)

Some classic historical vignettes depict scientists achieving breakthroughs without effort: Archimedes grasping the principles of buoyancy while bathing, Galileo Galilei discovering the isochrony of the pendulum while sitting in a cathedral, James Watt noticing the motive power of steam while passing time in a kitchen, Alexander Fleming finding penicillin in Petri dishes that he had omitted to clean before going on holiday. These stories suggest that, to establish important findings in science, hard work is not always necessary. In this article, (...) I suggest that such stories capture an important aspect of scientific.. (shrink)

The concept of the cortical column refers to vertical cell bands with similar response properties, which were initially observed by Vernon Mountcastle’s mapping of single cell recordings in the cat somatic cortex. It has subsequently guided over 50 years of neuroscientific research, in which fundamental questions about the modularity of the cortex and basic principles of sensory information processing were empirically investigated. Nevertheless, the status of the column remains controversial today, as skeptical commentators proclaim that the vertical cell bands are (...) a functionally insignificant by-product of ontogenetic development. This paper inquires how the column came to be viewed as an elementary unit of the cortex from Mountcastle’s discovery in 1955 until David Hubel and Torsten Wiesel’s reception of the Nobel Prize in 1981. I first argue that Mountcastle’s vertical electrode recordings served as criteria for applying the column concept to electrophysiological data. In contrast to previous authors, I claim that this move from electrophysiological data to the phenomenon of columnar responses was concept-laden, but not theory-laden. In the second part of the paper, I argue that Mountcastle’s criteria provided Hubel Wiesel with a conceptual outlook, i.e. it allowed them to anticipate columnar patterns in the cat and macaque visual cortex. I argue that in the late 1970s, this outlook only briefly took a form that one could call a ‘theory’ of the cerebral cortex, before new experimental techniques started to diversify column research. I end by showing how this account of early column research fits into a larger project that follows the conceptual development of the column into the present. (shrink)

We claim that in contemporary studies in molecular biology and biomedicine, the nature of ‘manipulation’ and ‘intervention’ has changed. Traditionally, molecular biology and molecular studies in medicine are considered experimental sciences, whereas experiments take the form of material manipulation and intervention. On the contrary “big science” projects in biology focus on the practice of data mining of biological databases. We argue that the practice of data mining is a form of intervention although it does not require material manipulation. We also (...) suggest that material manipulation, although still present in in the practice of data mining, fulfill a different epistemic role. (shrink)

This paper surveys historical and recent philosophical discussions of the relations between imagination and creativity. In the first two sections, it covers two insufficiently studied analyses of the creative imagination, that of Kant and Sartre, respectively. The next section discusses imagination and its role in scientific discovery, with particular emphasis on the writings of Michael Polanyi, and on thought experiments and experimental design. The final section offers a brief discussion of some very recent work done on conceptual relations between imagination (...) and creativity. (shrink)

Bayesian reverse-engineering is a research strategy for developing three-level explanations of behavior and cognition. Starting from a computational-level analysis of behavior and cognition as optimal probabilistic inference, Bayesian reverse-engineers apply numerous tweaks and heuristics to formulate testable hypotheses at the algorithmic and implementational levels. In so doing, they exploit recent technological advances in Bayesian artificial intelligence, machine learning, and statistics, but also consider established principles from cognitive psychology and neuroscience. Although these tweaks and heuristics are highly pragmatic in character and (...) are often deployed unsystematically, Bayesian reverse-engineering avoids several important worries that have been raised about the explanatory credentials of Bayesian cognitive science: the worry that the lower levels of analysis are being ignored altogether; the challenge that the mathematical models being developed are unfalsifiable; and the charge that the terms ‘optimal’ and ‘rational’ have lost their customary normative force. But while Bayesian reverse-engineering is therefore a viable and productive research strategy, it is also no fool-proof recipe for explanatory success. (shrink)

This article examines two questions about scientists’ search for knowledge. First, which search strategies generate discoveries effectively? Second, is it advantageous to diversify search strategies? We argue pace Weisberg and Muldoon, “Epistemic Landscapes and the Division of Cognitive Labor”, that, on the first question, a search strategy that deliberately seeks novel research approaches need not be optimal. On the second question, we argue they have not shown epistemic reasons exist for the division of cognitive labor, identifying the errors that led (...) to their conclusions. Furthermore, we generalize the epistemic landscape model, showing that one should be skeptical about the benefits of social learning in epistemically complex environments. (shrink)

There are two main approaches to the epistemology of science. On the one hand, some hold that a scientific hypothesis is confirmed to the extent that the hypothesis explains the evidence better than alternative hypotheses concerning the same subject-matter. This idea is often referred to as Inference to the Best Explanation. On the other hand, some hold that a scientific hypothesis is confirmed to the extent that the hypothesis is probable given the evidence. This idea is often associated with Bayesianism (...) or Bayesian epistemology. There has been some controversy on whether and how these two approaches may be reconciled. This paper criticizes some recent attempts to make peace between Bayesianism and Inference to the Best Explanation and sketches a new account of how the two approaches may be reconciled. (shrink)

Since its discovery in 1912, X-ray crystallography has become a most useful tool in physics, chemistry, material science, mineralogy, metallurgy, and even in the biological sciences. In 1914, Max von Laue was awarded the Nobel Prize “for the discovery of X-ray diffraction by crystals,” followed by the 1915 Nobel Prize to William Henry Bragg and William Lawrence Bragg “for their services in analysis of crystal structure by means of X-rays.” And these early Nobel prizes marked only the beginning of X-ray (...) crystallography as one of the most fruitful methods in the history of modern science. A 100 years after Laue’s Nobel Prize and 50 years after another Nobel Prize to Dorothy Hodgkin “for her determination by X-ray technique of the structures of important biochemical substances,” the UN proclaimed 2014 the International Year of Crystallography. “In all, 45 scientists have been awarded over the past century for work that is either directly or indirectly related to crystallo .. (shrink)

Many have argued that unified theories ought to be pursued wherever possible. We deny this on the basis of social-epistemological and decision-theoretic considerations. Consequently, those seeking a more ubiquitous role for unification must either attend to the scientific community’s social structure in greater detail than has been the case, and/or radically revise their conception of unification.

Despite its pertinence to every field of study, no systematic theory exists for the exploration of the unknown world of new knowledge. In order to construct such a theory, this paper draws on the unique and highly refined principles of military strategy, in the process demonstrating the universal applicability of such principles and developing an effective analogy for the process of research. Such principles include diverging advance, converging attack, and selecting the superior and eliminating the inferior. In seeking further discoveries, (...) one should search for more possibilities, attack more aims, and confound the front line. The theory presented in this paper is also a means to further the unification of science. For no matter what the individuals look like, (soldiers, particles, cells, consumers, producers, stockholders, or concepts), what they pursue, (victory, negative action, viability, pleasure, profit, investment return, or knowledge), or what relationship exists between opponents, (hostile, mysterious, adaptive, reciprocal, cooperative, or explanatory), the result is always an unknown world in which individuals are exploring. It is reasonable to suppose that the exploration of the unknown world is a common property among individuals. (shrink)

Do the same epistemic standards govern scientific and religious belief? Or should science and religion operate in completely independent epistemic spheres? Commentators have recently been divided on William James’s answer to this question. One side depicts “The Will to Believe” as offering a separate-spheres defense of religious belief in the manner of Galileo. The other contends that “The Will to Believe” seeks to loosen the usual epistemic standards so that religious and scientific beliefs can both be justified by a unitary (...) set of evidentiary rules. I argue that James did build a unitary epistemology but not by loosening cognitive standards. In his psychological research, he had adopted the Comtian view that hypotheses and regulative assumptions play a crucial role in the context of discovery even though they must be provisionally adopted before they can be supported by evidence. “The Will to Believe” relies on this methodological point to achieve a therapeutic goal—to convince despairing Victorians that religious faith can be reconciled with a scientific epistemology. James argues that the prospective theist is in the same epistemic situation with respect to the “religious hypothesis” as the scientist working in the context of discovery. (shrink)

Hermeneutic studies of science locate a circle at the heart of scientific practice: scientists only gain knowledge of what they, in some sense, already know. This may seem to threaten the rational validity of science, but one can argue that this circle is a virtuous rather than a vicious one. A virtuous circle is one in which research conclusions are already present in the premises, but only in an indeterminate and underdeveloped way. In order to defend the validity of science, (...) the hermeneuticist must describe a method by which a vague and confused initial knowledge of nature gets transformed into a clear and determinate knowledge of nature. I consider three such methods. The first is regressus demonstrativa, favoured by the physicians of Padua during the fifteenth and sixteenth centuries. The second is mathēsis, introduced by Martin Heidegger in his discussion of seventeenth-century science. The third is Denkstil, a key concept in Ludwik Fleck’s history of syphilology. I conclude by listing three desiderata for a hermeneutic science studies: that it be anti-metaphysical, historical, and sociological. --- Reprinted in: Erich Otto Graf, Martin Schmid & Johannes Fehr (eds.), Fleck and the Hermeneutics of Science (Collegium Helveticum Heft 14) (Zürich, 2016), pp. 85-93. (shrink)

Bruno Latour claims to have shown that a Kantian model of knowledge, which he describes as seeking to unite a disembodied transcendental subject with an inaccessible thing-in-itself, is dramatically falsified by empirical studies of science in action. Instead, Latour puts central emphasis on scientific practice, and replaces this Kantian model with a model of “circulating reference.” Unfortunately, Latour's alternative schematic leaves out the scientific subject. I repair this oversight through a simple mechanical procedure. By putting a slight spin on Latour's (...) diagrammatic representation of his theory, I discover a new space for a post-Kantian scientific subject, a subject brilliantly described by Ludwik Fleck. The neglected subjectivities and ceaseless practices of science are thus re-united. (shrink)

Recent empirical and philosophical research challenges the view that reason and emotion necessarily conflict with one another. Philosophers of science have, however, been slow in responding to this research. I argue that they continue to exclude emotion from their models of scientific reasoning because they typically see emotion as belonging to the context of discovery rather than of justification. I suggest, however, that recent work in epistemology challenges the authority usually granted the context distinction, taking a socially inflected reliabilism as (...) my example. Intersubjectively stable emotions may play a reliable role in the formation, which for the reliabilist also means the justification, of scientific beliefs. (shrink)