Machine learning methods have recently created high expectations in the climate modelling context in view of addressing climate change, but they are often considered as non-physics-based ‘black boxes’ that may not provide any understanding. However, in many ways, understanding seems indispensable to appropriately evaluate climate models and to build confidence in climate projections. Relying on two case studies, we compare how machine learning and standard statistical techniques affect our ability to understand the climate system. For that purpose, we put five (...) evaluative criteria of understanding to work: intelligibility, representational accuracy, empirical accuracy, coherence with background knowledge, and assessment of the domain of validity. We argue that the two families of methods are part of the same continuum where these various criteria of understanding come in degrees, and that therefore machine learning methods do not necessarily constitute a radical departure from standard statistical tools, as far as understanding is concerned. (shrink)

Because they contain idealizations, scientific models are often considered to be misrepresentations of their target systems. An important question is therefore how models can explain the behaviours of these systems. Most of the answers to this question are representationalist in nature. Proponents of this view are generally committed to the claim that models are explanatory if they represent their target systems to some degree of accuracy; in other words, they try to determine the conditions under which idealizations can be made (...) without jeopardizing the representational function of models. In this article, we first outline several forms of this representationalist view. We then argue that this view, in each of these forms, omits an important role of idealizations: that of facilitating the identification of the explanatory components within a model. Via examination of a case study from contemporary astrophysics, we show that one way in which idealizations can do this is by creating a comparison case that s... (shrink)

Mathematical models are often expected to provide not only predictions about the phenomenon that they represent, but also explanations. These explanations are answers to why-questions and particularly answers to why the predicted phenomenon should occur. For instance, models can be used to calculate when the next total solar eclipse will happen, and then to explain why it will take place on July 2, 2019. In this regard we can obtain explanations from a model if we can solve the model equations (...) which govern the phenomenon under study. But some equations have no explicit solution or are too complicated to solve. In these cases it is difficult for a... (shrink)

Projections of future climate change cannot rely on a single model. It has become common to rely on multiple simulations generated by Multi-Model Ensembles (MMEs), especially to quantify the uncertainty about what would constitute an adequate model structure. But, as Parker points out (2018), one of the remaining philosophically interesting questions is: “How can ensemble studies be designed so that they probe uncertainty in desired ways?” This paper offers two interpretations of what General Circulation Models (GCMs) are and how MMEs (...) made of GCMs should be designed. In the first interpretation, models are combinations of modules and parameterisations; an MME is obtained by “plugging and playing” with interchangeable modules and parameterisations. In the second interpretation, models are aggregations of expert judgements that result from a history of epistemic decisions made by scientists about the choice of representations; an MME is a sampling of expert judgements from modelling teams. We argue that, while the two interpretations involve distinct domains from philosophy of science and social epistemology, they both could be used in a complementary manner in order to explore ways of designing better MMEs. (shrink)

Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed “epistemic inequality”: this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of overcoming epistemic inequality. We argue that value management can be seriously considered (...) as soon as the value-free ideal and inductive risk arguments commonly used to frame the discussions of value influence in climate science are replaced by alternative social accounts of objectivity. We consider objectivity in Longino's sense as well as strong objectivity in Harding's sense to be relevant options here, because they offer concrete proposals that can guide scientific practice in evaluating and designing so-called multi-model ensembles and, in fine, improve their capacity to quantify and express uncertainty in climate projections. (shrink)

Empirical agreement is often used as an important criterion when assessing the validity of scientific models. However, it is by no means a sufficient criterion as a model can be so adjusted as to fit available data even though it is based on hypotheses whose plausibility is known to be questionable. Our aim in this paper is to investigate into the uses of empirical agreement within the process of model validation.

Convergence of model projections is often considered by climate scientists to be an important objective in so far as it may indicate the robustness of the models’ core hypotheses. Consequently, the range of climate projections from a multi-model ensemble, called “model spread”, is often expected to reduce as climate research moves forward. However, the successive Assessment Reports of the Intergovernmental Panel on Climate Change indicate no reduction in model spread, whereas it is indisputable that climate science has made improvements in (...) its modelling. In this paper, after providing a detailed explanation of the situation, we describe an epistemological setting in which a steady model spread is not doomed to be seen as negative, and is indeed compatible with a desirable evolution of climate models taken individually. We further argue that, from the perspective of collective progress, as far as the improvement of the products of a multi-model ensemble is concerned, reduction of model spread is of lower priority than model independence. (shrink)

The assessments issued by the Intergovernmental Panel on Climate Change (IPCC) aim to provide policy-makers with an objective source of information about the various causes of climate change, the projected consequences for the environment and human affairs, and the options for adaptation and mitigation. But what, in this context, is meant by ‘objective’? In practice, in an effort to address internal and external criticisms, the IPCC has regularly revised its methodological procedures; some of these procedures seem to meet the requirements (...) of objectivity, at least as understood in a specific sense, but the relationship between objectivity and value-neutrality requires further investigation. The aim of this paper is to offer an appropriate philosophical account of objectivity, reconcilable with the fact that the IPCC is not value-free. I argue that Sandra Harding’s notion of strong objectivity is particularly well suited to this goal, and I examine the extent to which the current IPCC procedures match her account. (shrink)

It is often said that computer simulations generate new knowledge about the empirical world in the same way experiments do. My aim is to make sense of such a claim. I first show that the similarities between computer simulations and experiments do not allow them to generate new knowledge but invite the simulationist to interact with simulations in an experimental manner. I contend that, nevertheless, computer simulations and experiments yield new knowledge under the same epistemic circumstances, independently of any features (...) they may share. (shrink)

It has been argued that the Duhem problem is renewed with computational models since model assumptions having a representational aim and computational assumptions cannot be tested in isolation. In particular, while the Verification and Validation methodology is supposed to prevent such holism, Winsberg argues that verification and validation cannot be separated in practice. Morrison replies that Winsberg overstates the entanglement between the steps. The paper aims at arbitrating these two positions, by stressing their respective validity in relation to domains of (...) application. It importantly argues for an increasing use of formal methods in verification, that makes disentanglement possible. (shrink)

Parameterization and parameter tuning are central aspects of climate modeling, and there is widespread consensus that these procedures involve certain subjective elements. Even if the use of these subjective elements is not necessarily epistemically problematic, there is an intuitive appeal for replacing them with more objective (automated) methods, such as machine learning. Relying on several case studies, we argue that, while machine learning techniques may help to improve climate model parameterization in several ways, they still require expert judgment that involves (...) subjective elements not so different from the ones arising in standard parameterization and tuning. The use of machine learning in parameterizations is an art as well as a science and requires careful supervision. (shrink)

Wagenknecht a récemment introduit une distinction conceptuelle entre dépendance épistémique translucide et dépendance épistémique opaque, dans le but de mieux rendre compte de la diversité des relations de dépendance épistémique au sein des pratiques collaboratives de recherche. Dans la continuité de son travail, mon but est d’expliciter les différents types d’expertise requis lorsque sont employés instruments et ordinateurs dans la production de connaissance, et d’identifier des sources potentielles d’opacité. Mon analyse s’appuie sur un cas contemporain de création de connaissance scientifique, (...) à savoir le traitement de données astrophysiques. (shrink)

In empirical modeling, mathematics has an important utility in transforming descriptive representations of target system into calculation devices, thus creating useful scientific models. The transformation may be considered as the action of tools. In this paper, I assume that model idealizations could be such tools. I then examine whether these idealizations have characteristic properties of tools, i.e., whether they are being adapted to the objects to which they are applied, and whether they are to some extent generic.

Climate science is expected to provide usable information to policy-makers, to support the resolution of climate change. The complex, multiply connected nature of climate change as a social problem is reviewed and contrasted with current modular and discipline-bounded approaches in climate science. We argue that climate science retains much of its initial “physics-first” orientation, and that it adheres to a problematic notion of objectivity as freedom from value judgments. Together, these undermine its ability to provide usable information. We develop the (...) notion of usability using work from the literature on adaptation, but our argument applies to all of climate science. We illustrate the tension between usability and the objective, physics-first orientation of climate science with an example about model development practices in climate science. For solutions, we draw on two frameworks for science which responds to societal challenges: post-normal science and mandated science. We generate five recommendations for adapting the practice of climate science, to produce more usable information and thereby respond more directly to the social challenge of climate change. These are: (1) integrated cross-disciplinarity, (2) wider involvement of stakeholders throughout the lifecycle of a climate study, (3) a new framing of the role of values in climate science, (4) new approaches to uncertainty management, and (5) new approaches to uncertainty communication. (shrink)

An important task in mathematical sciences is to make quantitative predictions, which is often done via the solution of differential equations. In this paper, we investigate why, to perform this task, scientists sometimes choose to use numerical methods instead of analytical solutions. Via several examples, we argue that the choice for numerical methods can be explained by the fact that, while making quantitative predictions seems at first glance to be facilitated by analytical solutions, this is actually often much easier with (...) numerical methods. Thus we challenge the widely presumed superiority of analytical solutions over numerical methods. (shrink)

Some philosophers see an analogy between simulation and experiment. But, once we acknowledge some similarities between computer simulations and experiments, can we conclude from them that simulations generate empirical knowledge, as experiments do? In this paper, I argue that the similarities between simulation and experiment give the scientist at most the illusion that she is conducting an experiment, but cannot seriously ground the analogy. However, it does not follow that experiments are always epistemologically superior to simulations. I analyze the cases (...) when simulations and experiments equally yield new empirical knowledge. (shrink)

Whereas experiments and computer simulations seem very different at first view because the former, but not the latter, involve interactions with material properties, we argue that this difference is not so important with respect to validation, as far as epistemologyEpistemology is concerned. Major differences remain nevertheless from the methodological point of view. We present and defend this distinction between epistemology and methodology. We illustrate this distinction and related claims by comparing how experiments and simulations are validated in evolutionary studies, a (...) domain in which both experiments in the lab and computer simulations are relatively new but mutually reinforcing. (shrink)

On July 5, 2012 the Investigation Committee on the Accident at the Fukushima Nuclear Power Stations of the Tokyo Electric Power Company (TEPCO) issued a final, damning report. Its conclusions show that the human group – constituted by the employees of TEPCO and the control organism – had partial and imperfect epistemic control on the nuclear power plant and its environment. They also testify to a group inertia in decision-making and action. Could it have been otherwise? Is not a collective (...) of human beings, even prepared in the best way against nuclear risk, de facto prone to epistemic imperfection and a kind of inertia? In this article, I focus on the group of engineers who, in research and design offices, design nuclear power plants and model possible nuclear accidents in order to calculate the probability of their occurrence, predict their consequences, and determine the appropriate countermeasures against them. I argue that this group is prone to epistemic imperfection, even when it is highly prepared for adverse nuclear events. (shrink)

In 1959, mathematician Mark Kac introduced a model, called the Kac ring, in order to elucidate the classical solution of Boltzmann to the problem of macroscopic irreversibility. However, the model is far from being a realistic representation of something. How can it be of any help here? In philosophy of science, it is often argued that models can provide explanations of the phenomenon they are said to approximate, in virtue of the truth they contain, and in spite of the idealisations (...) they are made of. On this view, idealisations are not supposed to contribute to any explaining, and should not affect the global representational function of the model. But the Kac ring is a toy model that is only made of idealisations, and is still used trustworthily to understand the treatment of irreversible phenomena in statistical mechanics. In the paper, my aim is to argue that each idealisation ingeniously designed by the mathematician maintains the representational function of the Kac ring with the general properties of macroscopic irreversibility under scrutiny. Such an active role of idealisations in the representing has so far been overlooked and reflects the art of modelling. (shrink)

Like any science marked by high uncertainty, climate science is characterized by a widespread use of expert judgment. In this paper, we first show that, in climate science, expert judgment is used to overcome uncertainty, thus playing a crucial role in the domain and even at times supplanting models. One is left to wonder to what extent it is legitimate to assign expert judgment such a status as an epistemic superiority in the climate context, especially as the production of expert (...) judgment is particularly opaque. To begin answering this question, we highlight the key components of expert judgment. We then argue that the justification for the status and use of expert judgment depends on the competence and the individual subjective features of the expert producing the judgment since expert judgment involves not only the expert's theoretical knowledge and tacit knowledge, but also their intuition and values. This goes against the objective ideal in science and the criteria from social epistemology which largely attempt to remove subjectivity from expertise. (shrink)

In philosophical studies regarding mathematical models of dynamical systems, instability due to sensitive dependence on initial conditions, on the one side, and instability due to sensitive dependence on model structure, on the other, have by now been extensively discussed. Yet there is a third kind of instability, which by contrast has thus far been rather overlooked, that is also a challenge for model predictions about dynamical systems. This is the numerical instability due to the employment of numerical methods involving a (...) discretization process, where discretization is required to solve the differential equations of dynamical systems on a computer. We argue that the criteria for numerical stability, as usually provided by numerical analysis textbooks, are insufficient, and, after mentioning the promising development of backward analysis, we discuss to what extent, in practice, numerical instability can be controlled or avoided. (shrink)

Recent years have seen a notable increase in the production of scientific expertise by large multidisciplinary groups. The issue we address is how reports may be written by such groups in spite of their size and of formidable obstacles: complexity of subject matter, uncertainty, and scientific disagreement. Our focus is on the International Panel on Climate Change, unquestionably the best-known case of such collective scientific expertise. What we show is that the organization of work within the IPCC aims to make (...) it possible to produce documents that are indeed expert reports. To do so, we first put forward the epistemic norms that apply to expert reports in general, that is, the properties that reports should have in order to be useful and to help decision-making. Section 2 claims that these properties are: intelligibility, relevance and accuracy. Based on this analysis, section 3 points to the difficulties of having IPCC reports indeed satisfying these norms. We then show how the organization of work within the IPCC aims at and to a large extent secures intelligibility, relevance and accuracy, with the result that IPCC reports can be relied on for decision-making. Section 4 focuses on the fundamentals of IPCC’s work organization--that is, division of labour within the IPCC--while section 5 investigates three frameworks that were introduced over the course of the functioning of the IPCC: the reviewing procedure of IPCC reports, the language that IPCC authors use to express uncertainty and the Coupled Model Intercomparison Project. Concluding remarks are offered in section 6. (shrink)

In this article, I examine the relation between Bateson and Guattari’s ecological thoughts: two thinkers whose ecological ideas at first sight have a lot in common. In order to show the difference between the thoughts of both thinkers, I will take my clue from Guattari’s remark that he parts ways with Bateson on the role of context. Explaining the role of context in both authors will allow me to show how Guattari’s thought implies both an endorsement and a critique of (...) cybernetics, and, specifically, promoting a machinic rather than cybernetic ecology. I will conclude by indicating what is at stake in this distinction. (shrink)

It is currently common to conceive of the classic methodological individualism–holism debate in level terms. Accordingly, the dispute is taken to concern the proper level of explanations in the social sciences. In this paper, I argue that the debate is not apt to be characterized in level terms. The reason is that widely adopted notions of individualist explanations do not qualify as individual-level explanations because they span multiple levels. I defend this claim relative to supervenience, emergence, and other accounts of (...) the social world as levelled. Moreover, I discuss the consequences of this finding for the ongoing methodological individualism–holism debate. (shrink)

The common assumption is that if a group comprising moral agents can act intentionally, as a group, then the group itself can also be properly regarded as a moral agent with respect to that action. I argue, however, that this common assumption is the result of a problematic line of reasoning I refer to as “the collective fallacy.” Recognizing the collective fallacy as a fallacy allows us to see that if there are, in fact, irreducibly joint actors, then some of (...) them will lack the full-fledged moral agency of their members. The descriptivist question of whether a group can perform irreducibly joint intentional action need not rise and fall with the normative question of whether a group can be a moral agent. (shrink)

An important volume connecting classical studies with feminism, Feminism and Ancient Philosophy provides an even-handed assessment of the ancient philosophers' discussions of women and explains which ancient views can be fruitful for feminist theorizing today. The papers in this anthology range from classical Greek philosophy through the Hellenistic period, with the predominance of essays focusing on topics such as the relation of reason and the emotions, the nature of emotions and desire, and related issues in moral psychology. The volume contains (...) some new, ground-breaking essays on Plato, Aristotle, and the Stoics, as well as previously published pieces by established scholars like Martha Nussbaum and Julia Annas. It promises to be of interest to an interdisciplinary audience including those working in classics, ancient philosophy, and feminist theory. (shrink)

This is an overview of Davidson's theory of anomalous monism. Objections and replies are also detailed.

The topic of professionalism has dominated the content of major academic medicine publications during the past decade and continues to do so. The message of this current wave of professionalism is that medical educators need to be more attentive to the moral sensibilities of trainees, to their interpersonal and affective dimensions, and to their social conscience, all to the end of skilled, humanistic physicians. Urgent calls to address professionalism from such groups as the Association of American Medical Colleges, the American (...) Board of Internal Medicine, and the Accreditation Council for Graduate Medical Education, among others. In fact, at the 2004 annual meeting of the AAMC six separate presentations addressed professionalism with such titles as "Evaluating Humanism and Professionalism," Professionalism: Expectation, Education, Evaluation," or "Toward Assessing Professional Behaviors of Medical Students through Peer Observations". Professionalism, then, has become part of the current academic medicine parlance, used by administrators, clinical faculty, residency programs, and professional organizations with an expectation of shared meanings and goals. All of these stakeholders focus on what has become a consistent list of attributes deemed to be the essence of professionalism, which usually include variations on altruism, duty, excellence, honor and integrity, accountability, and respect. In fact, most of the scholarly work to date has been listing, describing, decrying, and measuring/evaluating it. In this collection of essays, we don’t argue with these attributes. Instead, we ask questions of the discourse from which they arise, how the specialized language of academic medicine disciplines has defined, organized, contained, and made seemingly immutable a group of attitudes, values, and behaviors subsumed under the label "professional" or "professionalism." This collection aims to be a critical text, one that questions the profession’s beliefs about the nature of its work and how such beliefs are enacted in medical education, particularly as they fuel the professionalism discourse. In addition, we will scrutinize how the discourse is enacted in both the formal and hidden curriculum, and in the larger medical environment. (shrink)

This article discusses what is involved in having full moral status, as opposed to a lesser degree of moral status and surveys different views of the grounds of moral status as well as the arguments for attributing a particular degree of moral status on the basis of those grounds.

From the Supreme Court to the bedroom, privacy is an intensely contested interest in our everyday lives and privacy law. Some people appeal to privacy to protect such critical areas as abortion, sexuality, and personal information. Yet, privacy skeptics argue that there is no such thing as a right to privacy. I argue that we cannot abandon the concept of privacy. If we wish to avoid extending this elusive concept to cover too much of our lives or shrinking it to (...) cover too little, we must come to understand it. After exploring the privacy arguments of philosophers and constitutional and tort privacy law, I argue for a new definition of privacy and an explanation of its value that clarifies and resolves many of our conflicts. Privacy is critical because it allows us to protect a realm in which we can have intimate relations with others. (shrink)

We propose the Selfish Goal model, which holds that a person's behavior is driven by psychological processes called goals that guide his or her behavior, at times in contradictory directions. Goals can operate both consciously and unconsciously, and when activated they can trigger downstream effects on a person's information processing and behavioral possibilities that promote only the attainment of goal end-states (and not necessarily the overall interests of the individual). Hence, goals influence a person as if the goals themselves were (...) selfish and interested only in their own completion. We argue that there is an evolutionary basis to believe that conscious goals evolved from unconscious and selfish forms of pursuit. This theoretical framework predicts the existence of unconscious goal processes capable of guiding behavior in the absence of conscious awareness and control (theautomaticity principle), the ability of the most motivating or active goal to constrain a person's information processing and behavior toward successful completion of that goal (thereconfiguration principle), structural similarities between conscious and unconscious goal pursuit (thesimilarity principle), and goal influences that produce apparent inconsistencies or counterintuitive behaviors in a person's behavior extended over time (theinconsistency principle). Thus, we argue that a person's behaviors are indirectly selected at the goal level but expressed (and comprehended) at the individual level. (shrink)

Acknowledgments THROUGHOUT this book I cite the many people who have provided information on individual programs and activities. ...

The National Institutes of Health and other federal health agencies are considering establishing a national biobank to study the roles of genes and environment in human health. A preliminary public engagement study was conducted to assess public attitudes and concerns about the proposed biobank, including the expectations for return of individual research results. A total of 141 adults of different ages, incomes, genders, ethnicities, and races participated in 16 focus groups in six locations across the country. Focus group participants voiced (...) a strong desire to be able to access individual research results. Recognizing the wide range of possible research results from a large cohort study, they repeatedly and spontaneously suggested that cohort study participants be given ongoing choices as to which results they received. (shrink)

In a recent article in this journal, Brian Alters argued that, given the many ways in which the nature of science is described and poor student responses to NOS instruments such as Nature of Scientific Knowledge Scale, Nature of Science Scale, Test on Understanding Science, and others, it is time for science educators to reconsider the standard lists of tenets for the NOS. Alters suggested that philosophers of science are authorities on the NOS and that consequently, it would be wise (...) to investigate their views of current NOS tenets. To that end, he conducted a survey of members of the Philosophy of Science Association, and, via various statistical techniques, made claims about the nature and extent of variation among philosophers of science regarding basic beliefs about the NOS. As three philosophers of science, we laud Alters’ attempt to understand philosophers of science’ view on the NOS. We believe, however, that his techniques for investigating this question are inappropriate and that consequently, several of his conclusions are unwarranted. In this comment, we will substantiate these criticisms. In addition, we will address some of the important questions that motivate Alters’ research and attempt to unravel the “byzantine complexity” of philosophical views about the NOS. We begin with our concerns regarding Alters’ research. We then provide a taxonomy of philosophic issues; and finally, we suggest some roles for philosophy of science in science teaching and the education of science teachers. (shrink)

In the recent methodological individualism-holism debate on explanation, there has been considerable focus on what reasons methodological holists may advance in support of their position. We believe it is useful to approach the other direction and ask what considerations methodological individualists may in fact offer in favor of their view about explanation. This is the background for the question we pursue in this paper: Why be a methodological individualist? We start out by introducing the methodological individualism-holism debate while distinguishing two (...) forms of methodological individualism: a form that says that individualist explanations are always better than holist accounts and a form that says that providing intervening individualist mechanisms always makes for better explanations than purely holist ones. Next, we consider four lines of reasoning in support of methodological individualism: arguments from causation, from explanatory depth, from agency, and from normativity. We argue that none of them offer convincing reasons in support of the two explanatory versions of individualism we consider. While there may well be occasions in which individualists’ favorite explanations are superior, we find no reason to think this always must be the case. (shrink)

This collection of papers investigates the most recent debates about individualism and holism in the philosophy of social science. The debates revolve mainly around two issues: firstly, whether social phenomena exist sui generis and how they relate to individuals. This is the focus of discussions between ontological individualists and ontological holists. Secondly, to what extent social scientific explanations may and should, focus on individuals and social phenomena respectively. This issue is debated amongst methodological holists and methodological individualists. -/- In social (...) science and philosophy, both issues have been intensively discussed and new versions of the dispute have appeared just as new arguments have been advanced. At present, the individualism/holism debate is extremely lively and this book reflects the major positions and perspectives within the debate. This volume is also relevant to debates about two closely related issues in social science: the micro-macro debate and the agency-structure debate. -/- This book presents contributions from key figures in both social science and philosophy, in the first such collection on this topic to be published since the 1970s. -/- . (shrink)

Recent debates about inequality have focused almost exclusively on the distribution of wealth and disparities in income, but little notice has been paid to the distribution of free time. Free time is commonly assumed to be a matter of personal preference, a good that one chooses to have more or less of. Even if there is unequal access to free time, the cause and solution are presumed to lie with the resources of income and wealth. In Free Time, Julie (...) Rose argues that these views are fundamentally mistaken. First, Rose contends that free time is a resource, like money, that one needs in order to pursue chosen ends. Further, realizing a just distribution of income and wealth is not sufficient to ensure a fair distribution of free time. Because of this, anyone concerned with distributive justice must attend to the distribution of free time. On the basis of widely held liberal principles, Rose explains why citizens are entitled to free time—time not committed to meeting life's necessities and instead available for chosen pursuits. The novel argument that the just society must guarantee all citizens their fair share of free time provides principled grounds to address critical policy choices, including work hours regulations, Sunday closing laws, public support for caregiving, and the pursuit of economic growth. Delving into an original topic that touches everyone, Free Time demonstrates why all citizens have, in the words of early labor reformers, a right to "hours for what we will.". (shrink)

The dominant theory of cross-disciplinarity represents multidisciplinarity as ‘lower’ or ‘less interesting’ than interdisciplinarity. In this paper, it is argued that this unfavorable representation of multidisciplinarity is ungrounded because it is an effect of the theory being incomplete. It is also explained that the unfavorable, ungrounded representation of multidisciplinarity is problematic: when someone adopts the dominant theory of cross-disciplinarity, the unfavorable representation supports the development of a preference for interdisciplinarity over multidisciplinarity. However, being ungrounded, the support the representation provides for (...) a preference for interdisciplinarity, is invalid. The issue is even more pressing because research policy makers and funding bodies are among the adopters of the theory, which means that there is a risk of policies reflecting an unjustified preference for interdisciplinarity over multidisciplinarity. This paper presents an improved version of the dominant theory of cross-disciplinarity, obtained by completing the original version with the information it was missing. Because the improved version is more neutral regarding the value of different types of cross-disciplinarity, it is better suited for use by research policy makers and funding bodies. (shrink)

This book is the most comprehensive and rigourous critique of the ways disciplinary boundaries still inhibit knowledge-production and integration.

The argument from multiple realization is currently considered the argument against intertheoretic reduction. Both Little and Kincaid have applied the argument to the individualism-holism debate in support of the antireductionist holist position. The author shows that the tenability of the argument, as applied to the individualism-holism debate, hinges on the descriptive constraints imposed on the individualist position. On a plausible formulation of the individualist position, the argument does not establish that the intertheoretic reduction of social theories is highly unlikely. Nonetheless, (...) the reductive project may run into other potential obstacles. For this reason, it is concluded that the prospect of intertheoretic reduction is uncertain rather than unlikely. Key Words: argument from multiple realization • intertheoretic reduction • reductionism • individualism • holism. (shrink)

Encouraged by the financial incentives in the Health Information Technology for Economic and Clinical Health Act of 2009, electronic health record adoption is on the rise. According to a study by the Centers for Disease Control and Prevention published in 2014, 78% of office-based physicians had adopted some type of EHR system, up from 18% in 2001. Implementation of EHRs able to support the Department of Health and Human Services “meaningful use” requirements has also significantly increased since 2010. Such a (...) growth in EHR adoption with the capacity to achieve “meaningful use” standards suggests that the goal of nationwide, interoperable health records is moving closer to a reality.While movement toward a system-wide, interoperable EHR promises benefits of such an electronic information management tool, the risks related to patients’ privacy of their health information remains a concern. (shrink)

Encouraged by the financial incentives in the Health Information Technology for Economic and Clinical Health Act of 2009, electronic health record adoption is on the rise. According to a study by the Centers for Disease Control and Prevention published in 2014, 78% of office-based physicians had adopted some type of EHR system, up from 18% in 2001. Implementation of EHRs able to support the Department of Health and Human Services “meaningful use” requirements has also significantly increased since 2010. Such a (...) growth in EHR adoption with the capacity to achieve “meaningful use” standards suggests that the goal of nationwide, interoperable health records is moving closer to a reality.While movement toward a system-wide, interoperable EHR promises benefits of such an electronic information management tool, the risks related to patients’ privacy of their health information remains a concern. (shrink)

Corporate Social Responsibility (CSR) programs are increasingly popular corporate marketing strategies. This paper argues that CSR programs can fall along a continuum between two endpoints: Institutionalized programs and Promotional programs. This classification is based on an exploratory study examining the variance of four responses from the consumer stakeholder group toward these two categories of CSR. Institutionalized CSR programs are argued to be most effective at increasing customer loyalty, enhancing attitude toward the company, and decreasing consumer skepticism. Promotional CSR programs are (...) argued to be more effective at generating purchase intent. Ethical and managerial implications of these preliminary findings are discussed. (shrink)