Scientists need that scientific descriptions meet request methodological principles. Science knowledge is independent. Methodological principles guarantee autonomic regime of scientific investigations. Methodological principles are requirements the process of descriptive knowledge receiving as result of methodological analysis on best samples of scientific investigations, or methodological standards in history of science. There are mane principles in methodology of science: autonomic scientific investigation, competence, objectivity, expedience, systemness, verification, coherence, unity of methods, integration, differentiation, many-variation of formulizations, modernizations, diversity of (...) chosen types of descriptions, two logical meanings – truthfulness and falseness. (shrink)

Descriptive realism holds that T is true, while normative realism holds that T is warranted. Descriptive pessimism holds that T is false, while normative pessimism holds that T is unwarranted. We should distinguish between descriptive and normative realism because some arguments against scientific realism require that scientific realism be interpreted as descriptive realism, and because scientific realists can retreat from descriptive to normative realism when descriptive realism is under attack. We should also distinguish between descriptive and normative (...) pessimism because some arguments against scientific pessimism require that it be interpreted as descriptive pessimism, and because scientific pessimists can retreat from descriptive to normative pessimism when descriptive pessimism is under attack. -/- . (shrink)

There is no denying the Central Dogma’s impact on the biological sciences. Since the Dogma’s formulation by Francis Crick in 1958, however, many have debated the Dogma’s empirical adequacy. My aim is to move beyond these discussions, and instead consider the Central Dogma’s significance to contemporary biological practice. To do this, I consider four distinct approaches for determining the non-descriptive methodological significance of a scientific principle. I argue that these approaches fail to vindicate the Central Dogma, and that, under (...) many of these approaches, the Dogma amounts to a triviality. (shrink)

I defend three main conclusions. First, whether a method is public is important, because non-public methods are scientifically illegitimate. Second, there are substantive prescriptive differences between the view that private methods are legitimate and the view that private methods are illegitimate. Third, Descriptive Experience Sam-pling is a public method.

The twentieth century saw extended development in the philosophy of science to incorporate contemporary expansions of scientific theory and investigation. Richard Rorty was a prominent and rather controversial thinker who maintained that all progress, from social change to scientific inquiry, was achieved through the redescription of existing vocabularies. However, this theory fails to describe revolutionary scientific progress. Thomas Kuhn’s theories of paradigm change, as first described in his seminal work The Structure of Scientific Revolutions, better portray (...) this process. I attempt to show this by applying Kuhn’s and Rorty’s views to examples of scientific progress and comparing the results. (shrink)

The tremendous advances of research into artificial intelligence as well as neuroscience made over the last two to three decades have given further support to a renewed interest into philosophical discussions of the mind-body problem. Especially the last decade has seen a revival of panpsychist and idealist considerations, often focused on solving philosophical puzzles like the socalled hard problem of consciousness.1–9 While a number of respectable philosophers advocate some sort of panpsychistic solution to the mind-body problem now, fewer advocate that (...) idealism can contribute substantially to the debate. Interest in idealism has nevertheless risen again, as can be seen also from recent overview articles and collections of works.10–14 The working hypothesis here is that a properly formulated idealism can not only provide an alternative view of the mind/matter gap, but that this new view will also shed light on open questions in our common scientific, i.e. materialist, world view. To investigate this possibility, idealism first of all needs a model for the integration of modern science which allows for a mathematically consistent reinterpretation of the physical world as a limiting case of a both material and non-material world, which would make the outcome of idealistic considerations accessible to scientific investigation. To develop such a model I will first try to explain what I mean when I speak of a ‘scientifically tenable’ idealism, including a formulation of the emanation problem which for idealism replaces the interaction problem, then give a very brief summary of the available elements of such a theory in the philosophical literature, before sketching out some ‘design questions’ which have to be answered upon the construction of such models, and finally put forward a first model for a scientifically tenable objective idealism. (shrink)

While much discussion in bioethics, philosophy of science, and philosophy of medicine concerns the proper handling and uses of value considerations, there has been little discussion about how to identify or recognize values in medical/scientific discourse. This article presents a heuristic method for identifying values in such discourses. Values are defined as descriptions or conditions that guide human action and are praise- or blameworthy. Values manifest themselves in discourses in one or more of three dimensions: linguistic, causal, and descriptive; (...) each with distinctive “subtypes”. By recognizing the various ways that values manifest in discourses, a “values scholar” can ask relevant questions of the discourse and thereby come to recognize potential evaluative meanings in the discourse. Numerous examples are provided from the author's own research program. Strengths, limitations, and paths to developing the model are briefly discussed. (shrink)

Scientists’ graphical practices have recently become a target of inquiry in the philosophy of science, and in the cognitive sciences. Here I supplement our understanding of graphical practices via a case study of how researchers crafted the graphics for scientific publication in the field of circadian biology. The case highlights social aspects of graphical production which have gone understudied e especially concerning the negotiation of publication. I argue that it also supports a challenge to the claim that empirically-informed “cognitive (...) design principles” offer an apt understanding of the norms of success which govern good scientific graphic design to communicate data and hypotheses to other experts. In this respect, the case-study also illustrates how “descriptive” studies of scientific practice can connect with normative issues in philosophy of science, thereby addressing a central concern in recent discussions of practice-oriented philosophy of science. (shrink)

In this article, interviewing from a descriptive, phenomenological, human scientific perspective is examined. Methodological issues are raised in relation to evaluative criteria as well as reflective matters that concern the phenomenological researcher. The data collection issues covered are 1) the selection of participants, 2) the number of participants in a study, 3) the interviewer and the questions, and 4) data collection procedures. Certain conclusions were drawn indicating that phenomenological research methods cannot be evaluated on the basis of an empiricist (...) theory of science, but must be critiqued from within a phenomenological theory of science. Some reflective matters, experienced by the phenomenological researcher, are also elaborated upon. (shrink)

The philosophical conception of mechanistic explanation is grounded on a limited number of canonical examples. These examples provide an overly narrow view of contemporary scientific practice, because they do not reflect the extent to which the heuristic strategies and descriptive practices that contribute to mechanistic explanation have evolved beyond the well-known methods of decomposition, localization, and pictorial representation. Recent examples from evolutionary robotics and network approaches to biology and neuroscience demonstrate the increasingly important role played by computer simulations and (...) mathematical representations in the epistemic practices of mechanism discovery and mechanism description. These examples also indicate that the scope of mechanistic explanation must be re-examined: With new and increasingly powerful methods of discovery and description comes the possibility of describing mechanisms far more complex than traditionally assumed. (shrink)

The biological sciences have become increasingly reliant on so-called 'model organisms'. I argue that in this domain, the concept of a descriptive model is essential for understanding scientific practice. Using a case study, I show how such a model was formulated in a preexplanatory context for subsequent use as a prototype from which explanations ultimately may be generated both within the immediate domain of the original model and in additional, related domains. To develop this concept of a descriptive model, (...) I focus on use of the nematode worm Caenorhabditis elegans and the wiring diagrams that were developed as models of its neural structure. In addition, implications of the concept of a descriptive model, particularly its relevance for the data-phenomena distinction as well as its relation to long-standing debates on realism, are briefly examined. (shrink)

Ethicists differ considerably in their reasons for using empirical data. This paper presents a brief overview of four traditional approaches to the use of empirical data: “the prescriptive applied ethicists,” “the theorists,” “the critical applied ethicists,” and “the particularists.” The main aim of this paper is to introduce a fifth approach of more recent date (i.e. “integrated empirical ethics”) and to offer some methodological directives for research in integrated empirical ethics. All five approaches are presented in a table for heuristic (...) purposes. The table consists of eight columns: “view on distinction descriptive-prescriptive sciences,” “location of moral authority,” “central goal(s),” “types of normativity,” “use of empirical data,” “method,” “interaction empirical data and moral theory,” and “cooperation with descriptive sciences.” Ethicists can use the table in order to identify their own approach. Reflection on these issues prior to starting research in empirical ethics should lead to harmonization of the different scientific disciplines and effective planning of the final research design. Integrated empirical ethics (IEE) refers to studies in which ethicists and descriptive scientists cooperate together continuously and intensively. Both disciplines try to integrate moral theory and empirical data in order to reach a normative conclusion with respect to a specific social practice. IEE is not wholly prescriptive or wholly descriptive since IEE assumes an interdepence between facts and values and between the empirical and the normative. The paper ends with three suggestions for consideration on some of the future challenges of integrated empirical ethics. (shrink)

Philosophers, historians, and sociologists of science have grown interested in the daily practices of scientists. Recent studies have drawn linkages between scientific innovations and more ordinary procedures, craft skills, and sources of sponsorship. These studies dispute the idea that science is the application of a unified method or the outgrowth of a progressive history of ideas. This book critically reviews arguments and empirical studies in two areas of sociology that have played a significant role in the 'sociological turn' in (...) science studies: ethnomethodology and the sociology of scientific knowledge. In both fields, efforts to study scientific practices have led to intractable difficulties and debates, due in part to scientistic and foundationalist commitments that remain entrenched with social-scientific research policies and descriptive language. The central purpose of this book is to explore the possibility of an empirical approach to the epistemic contents of science that avoids the pitfalls of scientism and foundationalism. (shrink)

Scientific representation is a booming field nowadays within the philosophy of science, with many papers published regularly on the topic every year, and several yearly conferences and workshops held on related topics. Historically, the topic originates in two different strands in 20th-century philosophy of science. One strand begins in the 1950s, with philosophical interest in the nature of scientific theories. As the received or “syntactic” view gave way to a “semantic” or “structural” conception, representation progressively gained the center (...) stage. Yet, there is another, older, strand that links representation to fin de siècle modeling debates, particularly in the emerging Bildtheorie of Boltzmann and Hertz, and to the ensuing discussion among philosophers thereafter. Both strands feed into present-day philosophical work on scientific representation. There are a number of different orthogonal questions that philosophers ask regarding representation. One set of questions concerns the nature of the representational relation between theories or models, on the one hand, and the real-world systems they purportedly represent. Such questions lie at the more metaphysical and abstract end of the spectrum—and they are often addressed with the abstract tools of the analytical metaphysician. They constitute what we may refer to as the “analytical inquiry” into representation. On the other hand there are questions regarding the use that scientists put some representations to in practice—these are questions that are best addressed by means of some of the favorite tools of the philosopher of science, including descriptive analysis, illustration by means of case studies, induction, exemplification, inference from practice, etc., and are best referred to as the “practical inquiry” into representation. The notion of representation invoked in such inquiries may be “deflationary” or “substantive”—depending on whether it construes representation as a primitive notion, or as susceptible to further reduction or analysis in terms of something else. (shrink)

In the contemporary scene, psychological researchers seeking alternative research strategies are turning increasingly toward interpretation theory. However, other strategies are also available, and one of these is descriptive science. Descriptive practices as the basis for the clarification of meanings have received less emphasis because of several epistemological assumptions about meaning that have appeared in the literature of interpretive science. Based upon the work of contemporary transcendental philosophers, especially J. N. Mohanty, this article argues that a descriptive scientific perspective can (...) respond to some of the hermeneutic arguments about meaning and that solid findings can be established descriptively. It is argued that both description and interpretation are legitimate but that they are tied to different conditions and interests. (shrink)

When scientist investigate why things happen, they aim at giving an explanation. But what does a scientific explanation look like? In the first chapter (Theories of Scientific Explanation) of this book, the milestones in the debate on how to characterize scientific explanations are exposed. The second chapter (How to Study Scientific Explanation?) scrutinizes the working-method of three important philosophers of explanation, Carl Hempel, Philip Kitcher and Wesley Salmon and shows what went wrong. Next, it is the (...) responsibility of current philosophers of explanation to go on where Hempel, Kitcher and Salmon failed. However, we should go on in a clever way. We call this clever way the pragmatic approach to scientific explanation and clarify briefly what this approach consists in. The third chapter (A Toolbox for Describing and Evaluating Explanatory Practices) elaborates the pragmatic approach by presenting a toolbox for analysing scientific explanation. In the last chapter (Examples of Descriptions and Evaluations of Explanatory Practices) the approach is illustrated with real-life examples of scientists aiming at explaining. (shrink)

Scientific realism is the view that our best scientific theories give approximately true descriptions of both observable and unobservable aspects of a mind-independent world. Debates between realists and their critics are at the very heart of the philosophy of science. Anjan Chakravartty traces the contemporary evolution of realism by examining the most promising strategies adopted by its proponents in response to the forceful challenges of antirealist sceptics, resulting in a positive proposal for scientific realism today. He examines (...) the core principles of the realist position, and sheds light on topics including the varieties of metaphysical commitment required, and the nature of the conflict between realism and its empiricist rivals. By illuminating the connections between realist interpretations of scientific knowledge and the metaphysical foundations supporting them, his book offers a compelling vision of how realism can provide an internally consistent and coherent account of scientific knowledge. (shrink)

The Scientific Attitude presents a systematic account of the cognitive and social features of science. Written by an experimental biologist actively engaged in research, the work is unique in its attempt to understand science in terms of day-to-day practice. The book goes beyond the traditional description of science that focuses on method and logic to characterize the scientific attitude as a way of looking at the world.

Although science was once seen as the product of individual great men working in isolation, we now realize that, like any other creative activity, science is a highly social enterprise, influenced in subtle as well as obvious ways by the wider culture and values of its time. Scientific Knowledge is the first introduction to social studies of scientific knowledge. The authors, all noted for their contributions to science studies, have organized this book so that each chapter examines a (...) key step in the process of doing science. Using case studies from cognitive science, physics, and biology to illustrate their descriptions and applications of the social study of science, they show how this approach provides a crucial perspective on how science is actually done. Scientific Knowledge will be of interest not only to those engaged in science studies, but also to anyone interested in the practice of science. (shrink)

Scientific Philosophy: Origins and Development is the first Yearbook of the Vienna Circle Institute, which was founded in October 1991. The book contains original contributions to an international symposium which was the first public event to be organised by the Institute: `Vienna--Berlin--Prague: The Rise of Scientific Philosophy: The Centenaries of Rudolf Carnap, Hans Reichenbach and Edgar Zilsel.' The first section of the book - `Scientific Philosophy - Origins and Developments' reveals the extent of scientific communication in (...) the inter-War years between these great metropolitan centres, as well as presenting systematic investigations into the relevance of the heritage of the Vienna Circle to contemporary research and philosophy. This section offers a new paradigm for scientific philosophy, one which contrasts with the historiographical received view of logical empiricism. Support for this re-evaluation is offered in the second section, which contains, for the first time in English translation, Gustav Bergmann's recollections of the Vienna Circle, and an historical study of political economist Wilhelm Neurath, Otto Neurath's father. The third section gives a report on current computer-based research which documents the relevance of Otto Neurath's `Vienna method of pictorial statistics', or `Isotypes'. A review section describes new publications on Neurath and the Vienna Circle, as well anthologies relevant to Viennese philosophy and its history, setting them in their wider cultural and political perspective. Finally, a description is given of the Vienna Circle Institute and its activities since its foundation, as well as of its plans for the future. (shrink)

Izard (2010) did not seek a descriptive definition of emotion—one that describes the concept as it is used by ordinary folk. Instead, he surveyed scientists’ prescriptive definitions—ones that prescribe how the concept should be used in theories of emotion. That survey showed a lack of agreement today and thus raised doubts about emotion as a useful scientific concept.

Kuhn’s account of scientific change is characterized by an internal tension between a naturalist vein, which is compatible with the revolutionary perspective on the historical development of science, and an aprioristic or Kantian vein which wants to secure that science is not an irrational enterprise. Kuhn himself never achieved to resolve the tension or even to deal with the terms of the problem. Michael Friedman, quite recently, provided an account which aspires to reconcile the revolutionary and the aprioristic elements (...) of the Kuhnian historiography by placing the latter in the neo-Kantian philosophical framework. In this paper, I suggest that Friedman manages to provide a convincing description of the structuration of scientific knowledge and, further, to present science as a rational enterprise. I argue that despite these virtues Friedman’s account faces a major problem with regard to the context of transcendental idealism which he is not willing to abandon. I also argue that discarding transcendental idealism in the way the philosophical perspective of John McDowell does, we can dispose of the flaws of Friedman’s account while retaining its virtues. (shrink)

String theory currently is the only viable candidate for a unified description of all known natural forces. This article tries to demonstrate that the fundamental structural and methodological differences that set string theory apart from other physical theories have important philosophical consequences. Focussing on implications for the realism debate in philosophy of science, it is argued that both poles of that debate face new problems in the context of string theory. On the one hand, the claim of underdetermination of (...) scientific theory by the available empirical data, which is a pivotal element of empiricism, loses much of its plausibility. On the other hand, the dissolution of any meaningful notion of an external ontological object destroys the basis for conventional versions of scientific realism. String theory seems to suggest an intermediate position akin to Structural Realism that is based on a newly emerging principle, to be called the principle of theoretical uniqueness. (shrink)

Although Wilhelm Dilthey and Franz Brentano apparently were pursuing roughly the same objective—to offer a description of our mental functions and of their relations to objects—and both called their respective research programs ‘descriptive psychology’, they seem to have used the term to refer to two different methods of psychological research. In this article, I compare analyses of these differences. Against the reading of Orth but also against a possible application of recent relativist accounts of the epistemology of peer disagreement (...) to this case, I argue that their apparent shared objective is not enough to support an understanding of their views as two alternatives within a given historical or scientific context, or as a mutual peer disagreement. I show that the impression of a shared objective can be explained away as stemming from the influence of their teacher Adolf Trendelenburg, and I stress that the case of introspection strongly suggests that an account in terms of peer disagreement is not plausible. Finally, I conclude that the opposition between two traditions, Austrian philosophy and historicism, might be better suited to account for the dispute and its apparent common historical context. (shrink)

Scientific Change How do scientific theories, concepts and methods change over time? Answers to this question have historical parts and philosophical parts. There can be descriptive accounts of the recorded differences over time of particular theories, concepts, and methods—what might be called the shape of scientific change. Many stories of scientific change attempt to give […].

According to one large family of views, scientific explanations explain a phenomenon (such as an event or a regularity) by subsuming it under a general representation, model, prototype, or schema (see Bechtel, W., & Abrahamsen, A. (2005). Explanation: A mechanist alternative. Studies in History and Philosophy of Biological and Biomedical Sciences, 36(2), 421–441; Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge: MIT Press; Darden (2006); Hempel, C. G. (1965). Aspects of (...) scientific explanation. In C. G. Hempel (Ed.), Aspects of scientific explanation (pp. 331–496). New York: Free Press; Kitcher (1989); Machamer, P., Darden, L., & Craver, C. F. (2000). Thinking about mechanisms. Philosophy of Science, 67(1), 1–25). My concern is with the minimal suggestion that an adequate philosophical theory of scientific explanation can limit its attention to the format or structure with which theories are represented. The representational subsumption view is a plausible hypothesis about the psychology of understanding. It is also a plausible claim about how scientists present their knowledge to the world. However, one cannot address the central questions for a philosophical theory of scientific explanation without turning one’s attention from the structure of representations to the basic commitments about the worldly structures that plausibly count as explanatory. A philosophical theory of scientific explanation should achieve two goals. The first is explanatory demarcation. It should show how explanation relates with other scientific achievements, such as control, description, measurement, prediction, and taxonomy. The second is explanatory normativity. It should say when putative explanations succeed and fail. One cannot achieve these goals without undertaking commitments about the kinds of ontic structures that plausibly count as explanatory. Representations convey explanatory information about a phenomenon when and only when they describe the ontic explanations for those phenomena. (shrink)

Economists customarily talk about the ‘realism’ of economic models and of their assumptions and make descriptive and prescriptive judgements about them: this model has more realism in it than that, the realism of assumptions does not matter, and so on. This is not the way philosophers mostly use the term ‘realism’ thus there is a major terminological discontinuity between the two disciplines. The following remarks organise and critically elaborate some of the philosophical usages of the term and show some of (...) the ways in which they relate to economists’ concerns. In the philosophy of science, scientific realism is the mainstream position – or rather a heterogeneous collection of positions - that includes ideas about the nature of scientific theories and how they are related to the real world and about the goals and achievements of scientific inquiry. However, most of what philosophers have contributed around these ideas is not designed to deal with the peculiarities of economics, thus some important adjustments are needed to make scientific realism an interesting position for economists. (shrink)

COVID-19 has substantially affected our lives during 2020. Since its beginning, several epidemiological models have been developed to investigate the specific dynamics of the disease. Early COVID-19 epidemiological models were purely statistical, based on a curve-fitting approach, and did not include causal knowledge about the disease. Yet, these models had predictive capacity; thus they were used to ground important political decisions, in virtue of the understanding of the dynamics of the pandemic that they offered. This raises a philosophical question about (...) how purely statistical models can yield understanding, and if so, what the relationship between prediction and understanding in these models is. Drawing on the model that was developed by the Institute of Health Metrics and Evaluation, we argue that early epidemiological models yielded a modality of understanding that we call descriptive understanding, which contrasts with the so-called explanatory understanding which is assumed to be the main form of scientific understanding. We spell out the exact details of how descriptive understanding works, and efficiently yields understanding of the phenomena. Finally, we vindicate the necessity of studying other modalities of understanding that go beyond the conventionally assumed explanatory understanding. (shrink)

Niels Bohr famously argued that a consistent understanding of quantum mechanics requires a new epistemic framework, which he named complementarity . This position asserts that even in the context of quantum theory, classical concepts must be used to understand and communicate measurement results. The apparent conflict between certain classical descriptions is avoided by recognizing that their application now crucially depends on the measurement context. ;Recently it has been argued that a new form of complementarity can provide a solution to the (...) so-called information loss paradox. Stephen Hawking argues that the evolution of black holes cannot be described by standard unitary quantum evolution, because such evolution always preserves information, while the evaporation of a black hole will imply that any information that fell into it is irrevocably lost---hence a "paradox." Some researchers in quantum gravity have argued that this paradox can be resolved if one interprets certain seemingly incompatible descriptions of events around black holes as instead being complementary. ;In this dissertation I assess the extent to which this black hole complementarity can be undergirded by Bohr's account of the limitations of classical concepts. I begin by offering an interpretation of Bohr's complementarity and the role that it plays in his philosophy of quantum theory. After clarifying the nature of classical concepts, I offer an account of the limitations these concepts face, and argue that Bohr's appeal to disturbance is best understood as referring to these conceptual limits. ;Following preparatory chapters on issues in quantum field theory and black hole mechanics, I offer an analysis of the information loss paradox and various responses to it. I consider the three most prominent accounts of black hole complementarity and argue that they fail to offer sufficient justification for the proposed incompatibility between descriptions. ;The lesson that emerges from this dissertation is that we have as much to learn from the limitations facing our scientific descriptions as we do from the successes they enjoy. Because all of our scientific theories offer at best limited, effective accounts of the world, an important part of our interpretive efforts will be assessing the borders of these domains of description. (shrink)

Although a strict dichotomy between facts and values is no longer accepted, less attention has been paid to the roles values should play in our acceptance of factual statements, or scientific descriptive claims. This paper argues that values, whether cognitive or ethical, should never preclude or direct belief on their own. Our wanting something to be true will not make it so. Instead, values should only be used to consider whether the available evidence provides sufficient warrant for a claim. (...) This argument is made for all relevant values, including cognitive, ethical, and social values. The rational integrity of science depends not on excluding some values and including others in the reasoning process, but of constraining all values to their proper role in belief acceptance. (shrink)

Knowledge of many facts does not amount to understanding unless one also has a sense of how the facts fit together. This aspect of coherence among scientific observations and theories is usually overlooked in summaries of scientific method, since the emphasis is on justification and verification rather than on understanding. I argue that the inter-theoretic coherence, as the hallmark of understanding, is an essential and informative component of any accurate description of science.

Background: The knowledge of scientific dishonesty is scarce and heterogeneous. Therefore this study investigates the experiences with and the attitudes towards various forms of scientific dishonesty among PhD-students at the medical faculties of all Norwegian universities.MethodAnonymous questionnaire distributed to all post graduate students attending introductory PhD-courses at all medical faculties in Norway in 2010/2011. Descriptive statistics. Results: 189 of 262 questionnaires were returned (72.1%). 65% of the respondents had not, during the last year, heard or read about researchers (...) who committed scientific dishonesty. One respondent had experienced pressure to fabricate and to falsify data, and one had experienced pressure to plagiarize data. On average 60% of the respondents were uncertain whether their department had a written policy concerning scientific conduct. About 11% of the respondents had experienced unethical pressure concerning the order of authors during the last 12 months. 10% did not find it inappropriate to report experimental data without having conducted the experiment and 38% did not find it inappropriate to try a variety of different methods of analysis to find a statistically significant result. 13% agreed that it is acceptable to selectively omit contradictory results to expedite publication and 10% found it acceptable to falsify or fabricate data to expedite publication, if they were confident of their findings. 79% agreed that they would be willing to report misconduct to a responsible official. Conclusion: Although there is less scientific dishonesty reported in Norway than in other countries, dishonesty is not unknown to doctoral students. Some forms of scientific misconduct are considered to be acceptable by a significant minority. There was little awareness of relevant policies for scientific conduct, but a high level of willingness to report misconduct. (shrink)

It is often claimed—especially by scientific realists—that science provides understanding of the world only if its theories are (at least approximately) true descriptions of reality, in its observable as well as unobservable aspects. This paper critically examines this ‘realist thesis’ concerning understanding. A crucial problem for the realist thesis is that (as study of the history and practice of science reveals) understanding is frequently obtained via theories and models that appear to be highly unrealistic or even completely fictional. So (...) we face the dilemma of either giving up the realist thesis that understanding requires truth, or allowing for the possibility that in many if not all practical cases we do not have scientific understanding. I will argue that the first horn is preferable: the link between understanding and truth can be severed. This becomes a live option if we abandon the traditional view that scientific understanding is a special type of knowledge. While this view implies that understanding must be factive, I avoid this implication by identifying understanding with a skill rather than with knowledge. I will develop the idea that understanding phenomena consists in the ability to use a theory to generate predictions of the target system’s behavior. This implies that the crucial condition for understanding is not truth but intelligibility of the theory, where intelligibility is defined as the value that scientists attribute to the theoretical virtues that facilitate the construction of models of the phenomena. I will show, first, that my account accords with the way practicing scientists conceive of understanding, and second, that it allows for the use of idealized or fictional models and theories in achieving understanding. (shrink)

In this article I give a naturalistic-cum-formal analysis of the relation between beauty, empirical success, and truth. The analysis is based on the one hand on a hypothetical variant of the so-called 'mere-exposure effect' which has been more or less established in experimental psychology regarding exposure-affect relationships in general and aesthetic appreciation in particular (Zajonc 1968; Temme 1983; Bornstein 1989; (Ye 2000). On the other hand it is based on the formal theory of truthlikeness and truth approximation as presented in (...) my From Instrumentalism to Constructive Realism (2000). The analysis supports the findings of James McAllister in his beautiful Beauty and Revolutiorl in Science (1996), by explaining and justifying them. First, scientists are essentially right in regarding aesthetic criteria useful for empirical progress and even for truth approximation, provided they conceive of them as less hard than empirical criteria. Second, the aesthetic criteria of the time, the 'aesthetic canon', may well be based on 'aesthetic induction' regarding nonempirical features of paradigms of successful theories which scientists have come to appreciate as beautiful. Third, aesthetic criteria can play a crucial, schismatic role in scientific revolutions. Since they may well be wrong, they may, in the hands of aesthetic conservatives, retard empirical progress and hence truth approximation, but this does not happen in the hands of aesthetically flexible, 'revolutionary' scientists. (shrink)

This paper explores varieties of scientific structuralism. Central to our investigation is the notion of `shared structure'. We begin with a description of mathematical structuralism and use this to point out analogies and disanalogies with scientific structuralism. Our particular focus is the semantic structuralist's attempt to use the notion of shared structure to account for the theory-world connection, this use being crucially important to both the contemporary structural empiricist and realist. We show why minimal scientific structuralism (...) is, at the very least, a powerful methodological standpoint. Our investigation also makes explicit what more must be added to this minimal structuralist position in order to address the theory-world connection, namely, an account of representation. (shrink)

The aim of this paper is threefold. First, I defend the view that for Aristotle ethical inquiry, like all philosophical inquiry, is in the business of seeking scientific explanations. This defense will require (in section II) first describing the basic structure of such explanations and then showing how those explanations can either be found in or endorsed by Aristotle’s ethics. My description of scientific explanation should be relatively uncontroversial, and my subsequent discussion of scientific explanations in (...) Aristotle’s ethics is intended to help us see more clearly just what sorts of things are to count as “the thats” and “the whys” in ethical inquiry. The second aim of my paper is (in section III) to interpret anew the two thorny passages in which Aristotle discusses the role of scientific explanation in ethics. My interpretations further support the view that scientific explanations play a central role in Aristotle’s ethics, but they do so in a way that corrects textual misunderstandings made by scholars who share that view. Lastly (in section IV), I explain how Aristotle thinks scientific explanations in ethics can help us live better lives. Aristotle insists that the ultimate goal of ethics is to become good (EN I.3, 1095a5-6; II.2, 1103b26-29; X.9, 1179a35-b4), and so if scientific explanations are, indeed, necessary for ethics, then they must somehow help achieve that goal. (shrink)

Hart said that analytical jurisprudence is descriptive and general but did not draw an explicit distinction between conceptual questions that are in the main theoretical and others that are in the main practical. In Hart’s account, analytical jurisprudence searches for some kind of clarity about the idea of law and the other basic legal ideas as they occur in our ordinary experience. In the Postscript he explains that jurisprudence is the ‘theoretical or scientific study of law as a social (...) phenomenon’, which may, on occasion, but typically does not, rely on moral deliberation. It is to be contrasted to ‘practical’ questions as to how to live one’s life. I shall call this view ‘descriptivism’. It has been a very influential position in analytical jurisprudence and it is being defended by Hart’s followers even today. In this essay I raise some doubts about its coherence. First, I do not think Hart defended this view consistently —even though he did so in the Postscript. Second, I do not think that the position has been adequately defended, either by Hart or by his followers. There is still a great deal of ambiguity as to the precise position of jurisprudence between theoretical and practical reason.Resumen:Hart sostuvo que la jurisprudencia analítica es descriptiva y general pero no elaboró una distinción explícita entre las preguntas conceptuales que son principalmente teóricas y otras que son principalmente prácticas. En la explicación de Hart, la jurisprudencia analítica busca cierto tipo de claridad acerca de la noción de derecho y las demás ideas básicas tal cual ellas ocurren en nuestra experiencia ordinaria. En el Post Scriptum, él explica que la jurisprudencia es el ‘estudio teórico o científico del derecho como un fenómeno social’, el cual puede, en ocasiones, basarse en la deliberación moral, pero típicamente no lo hace. Esto puede contrastarse con las preguntas “prácticas” acerca de como las personas dirigen su propia vida. Llamo esta tesis “descriptivismo”. Esta ha sido una posición muy influyente en la jurisprudencia analítica y ha sido defendida por los seguidores de Hart hasta hoy. En este ensayo despierto dudas sobre su coherencia. Primero, no creo que Hart defendiera esta tesis de forma consistente. Segundo, no creo que la posición haya sido defendida de forma adecuada, ni por Hart ni por sus seguidores. Aún existe una gran ambigüedad acerca de la posición exacta de la jurisprudencia entre la razón teórica y la razón práctica. (shrink)

The course will give a concise introduction to compositional modeltheoretic semantics in the Montague tradition, with ample discussion and motivation coming from recent research. Concentrating on the underlying methodological principles, I will aim to attract students' attention to the beauty and scientific value of the description of intricate semantic phenomena using elegant and rigorously-defined mathematical techniques. The course is intended for students who don't necessarily have any prior knowledge in logic or linguistics, but have some basic mathematical or (...) general scientific background. The foundational concepts and techniques that will be covered include: entailment as a rich empirical domain, ambiguity, compositionality, direct modeltheoretic interpretation, types and model structure, boolean operators and generalized quantifiers. Motivations and examples will draw on recent research of coordination, quantifier scope and intensionality. Further remarks about diverse problems involving plurality, spatial expressions, conceptual semantics and pragmatics will be made as time permits. (shrink)

In an earlier article on this journal I argued that the problem of empirical underdetermination can for the largest part be solved by theoretical virtues, and for the remaining part it can be tolerated. Here I confront two further challenges to scientific realism based on underdetermination. First, there are four classes of theories which may seem to be underdetermined even by theoretical virtues. Concerning them I argue that (i) theories produced by trivial permutations and (ii) “equivalent descriptions” are compatible (...) with the truth of standard theories; instead (iii) “as if” versions of standard theories are much worse from the point of view of theoretical virtues; finally (iv) mathematically intertranslatable theories either may become empirically decidable in the future, or can be discriminated by theoretical virtues, or realists may simply plead ignorance about their claims. Secondly, I consider Stanford’s underdetermination with respect unconceived alternatives, arguing that it essentially relies on the pessimistic meta-induction from the falsity of all past theories. Therefore, it can be resisted by (a) considering the radical advancement of present with respect to past science, and (b) arguing with selective realism that past successful theories, even if false, always included some true components. (shrink)

The Scientific Attitude presents a systematic account of the cognitive and social features of science. The work is unique in its attempt to understand science in terms of day-to-day practice. The book goes beyond the traditional description of science, which focuses on method and logic, to characterize the scientific attitude as a way of looking at the world.