In this work, I attempt to develop what I call a co-evolutionary model of scientific change, which I expect to afford a more balanced view on both the continuous and discontinuous aspects of scientific change. Supposing that scientific goals, methods and theories constitute the main components of scientific inquiry, I focus on the relationships among these components and their changing patterns. First of all, I identify explanatory power and empirical adequacy as primary goals of science and explore the possibility (...) of evaluating scientific goals. Then I try to bring out the major features of how the main components of science are related to each other. One major feature is that they mutually constrain each other, and as such each main component operates as a selective force on the other components. Another major feature is that the main components of science induce changes reciprocally, but with certain intervals. Other important features are the modes and tempos of changes in the main components of scientific inquiry. All these features together, I conclude, suggest that scientific change is evolutionary, as well as co-evolutionary. Finally I argue that this co-evolutionary model of scientific change does not yield to what I call the problems of circularity and scientific progress. (shrink)

Because the addition of the conditional premise tends to increase modus ponens (MP) inferences, Oaksford & Chater argue that the additional knowledge is assimilated to world knowledge before the Ramsey test is carried out to evaluate P(q|p), so that the process of applying the Ramsey test could become indistinguishable from the process of applying the second-step conditionalization.

In Beauty and Revolution in Science, James McAllister advances a rationalistic picture of science in which scientific progress is explained in terms of aesthetic evaluations of scientific theories. Here I present a new model of aesthetic evaluations by revising McAllister’s core idea of the aesthetic induction. I point out that the aesthetic induction suffers from anomalies and theoretical inconsistencies and propose a model free from such problems. The new model is based, on the one hand, on McAllister’s original (...) model and on further developments by Theo Kuipers in his “Beauty, a Road to the Truth?”. On the other hand, it is based on empirical findings about affection and emotion, and a naturalistic aesthetic theory. The new model is thus a naturalistic model with a wider explanatory range and much more internal consistency that McAllister’s. (shrink)

The central question of this thesis is how one can learn about particular targets by using models of those targets. A widespread assumption is that models have to be representative models in order to foster knowledge about targets. Thus the thesis begins by examining the concept of representation from an epistemic point of view and supports an account of representation that does not distinguish between representation simpliciter and adequate representation. Representation, understood in the sense of a representative model, is regarded (...) as a success term. That is, a representative model is one relatum in a relation of adequate representation (Chapter 2). When a representative model represents a target, it allows users of this model to learn something about the target. It is argued that a representative model has this epistemic function because it shares relevant features with the target. This presupposes a similarity view of representation. Similarity views of representation face serious objections, which will be rebutted (Chapter 3). One way of spelling out a similarity view of representation is to defend an indirect view of representation. In this thesis, which does not argue for an indirect view, it is assumed that the indirect view is a good option, if not the best, for articulating the similarity view. It is demonstrated how such an indirect view can be expanded to account for cases of technological modeling. A case study in bioengineering is used to show that the indirect view of representation must acknowledge a distinction between two directions of fit in relations between vehicles and targets. In this context the notion of design is interpreted as a relation between a vehicle and a target, thereby connecting ideas from philosophy of science with ideas from philosophy of technology (Chapter 4). Fictionalist accounts of models are intended to tackle the issue of the ontology of models. In this thesis, however, two prominent fictionalist accounts are discussed from an epistemological point of view in light of the central question regarding how one can learn about targets by using models. This question is addressed from the standpoint of Waltonian fictionalism. The result of the discussion is that the two discussed Waltonian fictionalist accounts cannot sufficiently answer the question. These accounts are criticized for their inability to deliver a satisfactory epistemology of representation (Chapter 5). Although Waltonian fictionalism is criticized, the present thesis also shows that the foundational theory of Waltonian fictionalism, the theory of make-believe can nevertheless be used to account for the distinction between projections and predictions that is made by the Intergovernmental Panel on Climate Change (Chapter 6). (shrink)

Mikael Stenmark examines four models of rationality and argues for a discussion of rationality that takes into account the function and aim of such human practices as science and religion.

Evaluators who are interested in developing or improving a program or policy frequently look to formative evaluation as a guiding framework.This book shows why those hoping to use evaluation to drive change in complex systems, rather than develop or improve one program, policy, or product, need to shift from the oversimplified idea of formative evaluation to a more specified continuous improvement model grounded in improvement science. In doing so, author Kristen L. Rohanna provides guidance to both (...) evaluators and others, such as K-12 educators or hospital administrators, who lead improvement initiatives in their organizations and seek to solve persistent problems of practice. The book includes an extended case study: a networked improvement community of five public middle and high schools. (shrink)

There is an ongoing debate on whether or to what degree computer simulations can be likened to experiments. Many philosophers are sceptical whether a strict separation between the two categories is possible and deny that the materiality of experiments makes a difference (Morrison 2009, Parker 2009, Winsberg 2010). Some also like to describe computer simulations as a “third way” between experimental and theoretical research (Rohrlich 1990, Axelrod 2003, Kueppers/Lenhard 2005). In this article I defend the view that computer simulations are (...) not experiments but that they are tools for evaluating the consequences of theories and theoretical assumptions. In order to do so the (alleged) similarities and differences between simulations and experiments are examined. It is found that three fundamental differences between simulations and experiments remain: 1) Only experiments can generate new empirical data. 2) Only Experiments can operate directly on the target system. 3) Experiments alone can be employed for testing fundamental hypotheses. As a consequence, experiments enjoy a distinct epistemic role in science that cannot completely be superseded by computer simulations. This finding in connection with a discussion of border cases such as hybrid methods that combine measurement with simulation shows that computer simulations can clearly be distinguished from empirical methods. It is important to understand that computer simulations are not experiments, because otherwise there is a danger of systematically underestimating the need for empirical validation of simulations. (shrink)

Using focus groups, this small-scale, qualitative study investigated the way that students tend to think about religious truth-claims as compared to other types of truth-claim. All the student participants conceived of religious truth-claims as ‘opinions’, to be contrasted with the certain, indisputable ‘facts’ of science. For many students, it was the lack of empirical verification, as well as the existence of disagreement, which meant religious beliefs were relegated to this position. If these findings are generalisable, then there are implications (...) for the ongoing theoretical dispute over the extent to which truth should be a focus in religious education. The tendency for students to see religious claims as subjective lends support for a critical pedagogy that places evaluation of truth centre-stage. The findings also suggest a need for religious education and science teachers to include more reflection on the nature of the scientific method in their schemes of work in order to dispel the myths of unanimity and certainty in science. (shrink)

With some regularity, cognitive scientists seem to introduce cognitive values into their explanations. After identifying examples of this practice, I sketch an account of psychological explanation that, under certain conditions, legitimizes value-laden cognitive explanations in which evaluative claims appear in the explanandum. I then present and discuss two applications of the proposed account in order to show its viability and explore its consequences.

Biomedical research on humans is an important part of medical progress. But, when lives are at risk, safety and ethical practices need to be the top priority. The need for the committees that regulate and oversee such research -- institutional review boards, or IRBs -- is growing. IRB members face difficult decisions every day. Evaluating the Science and Ethics of Research on Humans is a guide for new and veteran members of IRBs that will help them better understand the (...) issues involved and the tasks they will be required to perform. The most important purpose of an IRB is to protect the lives of human participants. For three major research areas -- drugs, medical devices, and genetic information -- Dennis J. Mazur shares the methods he has found useful in protecting human participants through the systematic review of scientific protocols and informed consent forms and through adherence to the federal regulations that apply. New members will gain understanding of how proposed research projects are to be reviewed from both scientific and ethical dimensions, how and when to ask key questions of principal investigators, how to work with principal investigators and research teams to ensure the best protection of human participants, and why to schedule regularly spaced reviews of a project that may have adverse outcomes. Based on Mazur's thirty years of research experience, this accessible and informative guide will give all IRB members the tools they need to protect human lives and facilitate the research process. (shrink)

Developing critical thinking ability is one of the main goals of medical education, in part because it enhances clinical reasoning, a vital competence in clinical practice. However, there is limited evidence suggesting ways to effectively teach critical thinking in the classroom. Here, we describe the use of a drama-based critical thinking classroom scenario. The study used a mixed-methods approach with both quantitative and qualitative analysis of questionnaire responses. Ninety-one medical students in Colombia were asked to identify and evaluate arguments regarding (...) a dilemma between ethics, social responsibility and scientific work presented in the play Should’ve by the Nobel laureate Roald Hoffmann. Chi square analyses of responses to closed-ended questions showed that the drama-based classroom scenario provided learners with opportunities to make decisions, and to identify and evaluate arguments from the play. Qualitative analysis of responses to open-ended questions confirmed these findings and illustrated the processes underlying the decisions. Students were able to evaluate arguments in an impartial way. Our findings support the use of drama-based scenarios in the classroom as an approach to fostering medical students’ critical thinking. This approach could contribute to a classroom pedagogy in which all students have an active role in responding to controversial questions, evaluating arguments and critically responding. This would support the development of critical thinking and promote deeper understanding of the dilemmas involved in scientific work. (shrink)

The normative nature of scientific rationality is sometimes accounted for by the thesis that having theories which meet the criteria we apply is valuable to us in itself rather than as a means to an end. But given the experiential input to our beliefs and their practical role, it is apparent that we must evaluate the criteria to be used as rational means of pursuing predictive success. So we must seek a practical justification, in spite of the threat of circularity. (...) There is hope of achieving this via an exploration of options which may show that there is no reasonable alternative to the principles we use. (shrink)

I first quickly outline what I think grasping is, and suggest that it is both among our basic aims of inquiry and not essentially tied to belief, justification, or knowledge. Then, I briefly look at some places in the metaphysics of science in which it looks like our aim of grasping and our aim in knowing—or perhaps more specifically in knowing the explanations for things—might seem to conflict. I will use this conflict to support a broader view: sometimes, we (...) might develop philosophical views or theories—and even endorse them—in order to better grasp them, regardless of whether we genuinely believe them, or are justified in so doing. At other times, we may be aiming at propositional knowledge. These aims can come apart, and perhaps even systematically come apart. A pluralism about the value of those aims doesn’t entail an “anything goes” attitude with respect to how we think about what philosophical views to put forward, defend, or endorse, however—far from it. Instead, it suggests that what counts as a virtue of a philosophical theory depends on our aims in espousing it. If philosophers have distinct aims at the meta-level, it will be hard for them to engage in joint theory evaluation at the first-order level. At least all three of theoretical virtues, evaluative judgments of philosophical views, and what attitudes we ought to have towards the views we ourselves espouse will vary according to our guiding metaphilosophical aims. (shrink)

A great need for systematic evaluation of ethics training programs exists. Those tasked with developing an ethics training program may be quick to dismiss the value of training evaluation in continuous process improvement. In the present effort, we use a case study approach to delineate how to leverage formative and summative evaluation measures to create a high-quality ethics education program. With regard to formative evaluation, information bearing on trainee reactions, qualitative data from the comments of trainees, (...) in addition to empirical findings, can ensure that the training program operates smoothly. Regarding summative evaluation, measures examining trainee cognition, behavior, and organization-level results provide information about how much trainees have changed as a result of taking the ethics training. The implications of effective training program evaluation are discussed. (shrink)

Name der Zeitschrift: Jahrbuch für Wissenschaft und Ethik Jahrgang: 20 Heft: 1 Seiten: 293-302.

Name der Zeitschrift: Jahrbuch für Wissenschaft und Ethik Jahrgang: 20 Heft: 1 Seiten: 237-240.

In this paper we explore the interpretation of quantity expressions in Yudja, an indigenous language spoken in the Amazonian basin, showing that while the language allows reference to exact cardinalities, it does not generally allow reference to exact measure values. It does, however, allow non-exact comparison along continuous dimensions. We use this data to argue that the grammar of exact measurement is distinct from a grammar allowing the expression of exact cardinalities, and that the grammar of counting and the grammar (...) of measurement may use numerals with different, though related interpretations. As Yudja shows, the language of measurement is not automatically acquired along with the knowledge of exact numeral expressions. We show that the ‘gap’ between prelinguistic intuitions about quantity in terms of numerosity and counting, which is bridged by the learning of language expressing exact cardinality, is paralleled by a similar gap between prelinguistic intuitions about quantity on a continuous dimension and measuring: this gap too must be bridged by language which expresses exact measure values. Our results suggest that the enculturation process by which we develop skills to perform abstract operations in the domain of measurement is (1) language dependent and (2) distinct from the process by which we learn to perform abstract calculations in the cardinal domain. (shrink)

The philosophy of science has lost its self-confidence, witness the lack of advanced textbooks in contrast to the abundance of elementary textbooks. Structures in Science is an advanced textbook that explicates, updates, accommodates, and integrates the best insights of logical-empiricism and its main critics. This `neo-classical approach' aims at providing heuristic patterns for research. The book introduces four ideal types of research programs and reanimates the distinction between observational laws and proper theories. It explicates various patterns of explanation (...) by subsumption and specification as well as structures in reductive and other types of interlevel research. Its analysis of theory evaluation leads to new characterizations of confirmation, empirical progress, and pseudoscience. Partial analogies between progress in nomological research and progress in explicative and design research emerge. Finally, special chapters are devoted to design research programs, computational philosophy of science, the structuralist approach to theories, and research ethics. (shrink)

One branch of Alvin Goldman's proposed "scientific epistemology" is devoted to the scientific study of how folk epistemic evaluators acquire and deploy the concepts of knowledge and justified belief. The author argues that such a "descriptive epistemology," as Goldman calls it, requires a more sophisticated theory of interpretation than is provided by the simulation theory Goldman adopts. The author also argues that any adequate account of folk epistemic concepts must reconstruct the intersubjective conceptual roles those concepts play in discursive practices. (...) In other words, descriptive epistemology also requires a theory of communicative action and an account of the practical abilities agents must have to engage in discursive practices. (shrink)

Philosophers of science now broadly agree that doing good science involves making non-epistemic value judgments. I call attention to two very different normative standards which can be used to evaluate such judgments: standards grounded in ethics and standards grounded in political philosophy. Though this distinction has not previously been highlighted, I show that the values in science literature contain arguments of each type. I conclude by explaining why this distinction is important. Seeking to determine whether some value-laden (...) determination meets substantive ethical standards is a very different endeavor from seeking to determine if it is politically legitimate. (shrink)

Unlike some recent authors, Hilary Putnam recognizes that we can not avoid inquiring about the normative force of the principles that guide scientific reasoning. His answer is in terms of values. In presenting his case for “Internal Realism”, he argues that values are presupposed in statements of fact (1981, pp. 128-134). The central thesis in his argument is that truth is not a correspondence with an “unconceptualized reality” and that “the claim that science seeks to discover the truth can (...) mean no more than that science seeks to construct a world picture which, in the ideal limit, satisfies certain criteria of rational acceptability” (p. 130). We adopt these criteria because having a theory which conforms to them is valuable to us; it is part of human flourishing (pp. 133-134). (shrink)

In the following pages we discuss three historical cases of moral economies in science: Drosophila genetics, late twentieth century American astronomy, and collaborations between American drug companies and medical scientists in the interwar years. An examination of the most striking differences and similarities between these examples, and the conflicts internal to them, reveals constitutive features of moral economies, and the ways in which they are formed, negotiated, and altered. We critically evaluate these three examples through the filters of rational (...) choice, utility, and American pragmatism, using the latter to support the conclusion that there is no single vision of moral economies in science and no single theory—moral, political, social—that will explain them. These filters may not be the only means through which to evaluate the moral economies examined, but aspects of each appear prominent in all three cases. In addition, explanations for decisions are often given in the language of these theories, both at the macro (policy) level and at the local level of the moral economies we discuss. In light of such factors, the use of these frameworks seems justified. We begin with an attempt to define the nature of moral economies, then move to a consideration of scientific communities as moral communities operating within material and other constraints which we relate to wider questions of political economy and societal accountabilities. (shrink)

. The phenomenology of certain mystical states is contrasted with the sense of “baseline” reality in an exploration of primary senses of reality. Nine theoretical and eight actual primary senses of reality are described. A neurophysiological model is presented to account for these states, and their possible adaptive significance is considered from an evolutionary perspective. Finally the state of absolute unitary being is contrasted with baseline reality, and their competing claims for primacy are evaluated in an epistemological context.

In recent years several philosophers of biology have proposed a pluralistic approach to science. In The Disorder of Things, John Dupré argues for a version of pluralism. Pluralists of all breeds must deal with a familiar class of worries that are routinely expressed at the suggestion of any move away from monism. One such worry is that pluralism is a relativistic position in which "anything goes" in science. In this paper I examine Dupré's proposals for saving his pluralism (...) from the much-feared overly permissive relativism. I use a case study to exhibit the types of standards, both epistemic and moral, Dupré suggests we use to judge a scientific idea. This case study illustrates Dupré's proposals in the context of the debate surrounding the use of anthropomorphic language in sociobiological accounts of rape. This paper has three goals. First, it aims to explain and illustrate Dupré's method for distinguishing good science from bad science. Second, it attempts to show that anthropomorphism's problems extend beyond concerns about its epistemic credentials. Third, it defends Dupré's mode of evaluation against some pressing objections. (shrink)

Modern knowledge of servo systems and computing machines makes it possible to specify a circuit that can and will induce the rules and winning moves in a game like chess when they are given only ostensibly, that is, by playing against opponents who quit when illegal or losing moves are made. Such circuits enjoy a value social in the sense that it is shared by the players.La connaissance moderne des servomécanismes et des machines à calculer permet de concevoir un circuit (...) qui pourra suivre des règles et décider les coups décisifs dans un jeu comme le jeu d'échecs tout au moins quand les coups sont joués de faÇon apparente, c'est-à-dire contre des adversaires qui abandonneront dans le cas de coups irréguliers ou de coups absurdes.De tels circuits possèdent une „valeur” sociale dans la mesure où elle est partagée par les autres joueurs.Moderne Kenntnissen im Gebiete von Folgegeraeten und Rechenmaschinen ermoeglichen es einen elektrischen Kreis aufzuwerfen, der die Regeln und gewinnbringende Zuege eines Spieles wie Schach induktiv erfassen kann und wird, wenn diese Regeln und Zuege nur ostensiv gegeben sind; d.h. indem mit Gegnern gespielt wird, die das Spiel einstellen sobald regelwidrige oder verlustbringende Zuege gemacht werden. Solche Kreise schaffen demnach einen Wert, der gesellschaftlich in dem Sinn ist, dass er auch von den Mitspielern geteilt wird. (shrink)

Epistemic trust is crucial for science. This article aims to identify the kinds of assumptions that are involved in epistemic trust as it is required for the successful operation of science as a collective epistemic enterprise. The relevant kind of reliance should involve working from the assumption that the epistemic endeavors of others are appropriately geared towards the truth, but the exact content of this assumption is more difficult to analyze than it might appear. The root of the (...) problem is that methodological decisions in science typically involve a complex trade-off between the reliability of positive results, the reliability of negative results, and the investigation's power. Which balance between these is the ‘correct’ one can only be determined in light of an evaluation of the consequences of all the different possible outcomes of the inquiry. What it means for the investigation to be ‘appropriately geared towards the truth’ thus depends on certain value judgments. I conclude that in the optimal case, trusting someone in her capacity as an information provider also involves a reliance on her having the right attitude towards the possible consequences of her epistemic work. 1 Introduction2 Epistemic Reliance within the Sciences3 Methodological Conventionalism4 Trust in Science5 Conclusions. (shrink)

Despite decades of research and thought on the meaning and identification of revolutions in science, there is no generally accepted definition for this concept. This paper presents 13 different characteristics that have been used by philosophers and historians of science to characterize revolutions in science, in general, and in chemistry, in particular. These 13 characteristics were clustered into six independent factors. Suggestions are provided as to the use of these characteristics and factors to evaluate historical events as (...) to their possible categorization as revolutions in chemistry. Challenges to the goal of creating a consensus definition of “revolutions in science” are also presented in this publication. (shrink)