Partout des appels formels invoquant la démocratie sont lancés : la démocratie comme première condition requise pour une gouvernance politique respectueuse des intérêts des citoyens et des équilibres de l’environnement. En même temps, une multitude d’indices convergents configurent une gestion de la res publica par une caste oligarchique politico-économique dont la propension à gérer les ressources environnementales se caractérise par l’absence de prise en compte du bien commun sur la base d’intérêts particuliers sans tenir compte des équilibres biosphériques (Bergandi, 2014 (...) : 63-81). Quel est le rôle des sciences et des scientifiques dans un tel contexte? Ou plus précisément, quel est le rôle des sciences et des scientifiques dans des questions à l’interface entre science et société, générant des controverses socio-scientifiques? Jusqu’à quel point les sciences peuvent-elles encore effectivement incarner l’idéal de la neutralité axiologique, durablement implanté par le positivisme à partir du XIXe siècle à la fois dans l’éthique scientifique et dans l’inconscient des scientifiques, telle une constante, apparemment inéliminable, de la science? Est-il possible de trouver un juste équilibre (épistémique et éthique) entre objectivité scientifique d’un côté, engagement moral et politique de l’autre? L’idée de « sciences impliquées » est-elle une forme de pensée oxymorique cachant un non-sens épistémologique? Ou bien, exprime-t-elle un besoin, une nécessité à la fois épistémique, éthique et politique qui nous permettrait de mieux cerner les innombrables et complexes enchevêtrements entre les sciences contemporaines et la société?[. (shrink)

L’article poursuit un double objectif. D’une part, il propose une revue de l’articulation des concepts de genre et de sexe au prisme de la biologie de l’évolution dans le champ des études féministes francophones (cette délimitation tenant à la fois à des raisons de place, de pertinence scientifique et d’accessibilité au public non spécialiste). A cette fin, il propose également une définition du concept de constructivisme qui soit compatible avec le naturalisme, s’inscrivant en cela dans l’état contemporain de la philosophie (...) générale des sciences. Une fois mis en place ces éléments de cartographie du débat, le second objectif de l’article consiste à prendre au sérieux la diversité actuelle des concepts de sexe en biologie. Il insiste sur la nécessité d’une clarification conceptuelle des différents niveaux impliqués, et propose pour cela d’en finir avec la terminologie unique du sexe : celle-ci, en favorisant des confusions entre différents concepts, constitue un coût cognitif qu’il faut dépasser. Ce coût cognitif s’articule à un coût social. En effet, un tel flou conceptuel favorise en même temps dans la sphère publique une naturalisation abusive – puisque scientifiquement douteuse – de comportements sociaux inégalitaires. L’approche constructiviste ne consiste donc pas à nier la contrainte empirique de la nature. Il s’agit plutôt, à partir de la mise en évidence de la circulation des représentations entre la société en général et la science en particulier, de se doter d’outils d’analyse réflexifs et scientifiquement maîtrisés pour aborder les problématiques éthiques, politiques et épistémiques impliquées par cette circulation. (shrink)

Academia is a competitive environment. Early Career Researchers (ECRs) are limited in experience and resources and especially need achievements to secure and expand their careers. To help with these issues, this book offers a new approach for conducting research using the combination of mindsponge innovative thinking and Bayesian analytics. This is not just another analytics book. 1. A new perspective on psychological processes: Mindsponge is a novel approach for examining the human mind’s information processing mechanism. This conceptual framework is used (...) to construct models in studies. The framework is highly flexible and widely applicable for many different types of information processes. The mindsponge approach can help researchers discover interesting ideas or even formulate their very own theories when investigating psychosocial phenomena. This approach brings a fresh wind to the current landscape of social sciences and humanities (SSH). 2. Easy-to-follow analysis protocol: The Bayesian Mindsponge Framework (BMF analytics) is useful in terms of computing and visualizing power but also easy to learn and apply. Contrary to being intimidating, the Bayesian analytics section of this book is presented in a reader-friendly manner with a detailed yet clear step-by-step procedure. Examples are from published BMF articles, allowing readers to immediately practice the method and quickly create their own applications. With educational purposes in mind, the book is very suitable for ECRs who are looking to innovate their research methods. 3. Advocating for low-cost, high-quality research: Doing science can be very costly. Mindsponge innovative thinking and BMF analytics help produce impactful studies using openly available data on online repositories. This is based on the authors’ previous works and experiences. The book presents examples of employing the open R package bayesvl on secondary data from different sources. With less financial constraints, researchers can have more freedom of thought to pursue their curiosity and creativity. ECRs in low- and middle-income countries may find this aspect crucial in their careers. 4. Support and collaboration: The authors share their insights from experiences in the academic publishing system to help readers get through the processes of manuscript writing and peer-reviewing more easily. The authors are also ready to support other researchers with further inquiries and collaboration opportunities at the following website, mindsponge(dot)info. This book is for: a) ECRs whose only abundant resources are their innovation capacity and strength of will; b) Researchers in SSH who want to explore a novel approach to thinking and study conducting; c) Low- and middle-income countries’ researchers looking for a cost-effective research protocol; and, d) Innovative thinkers who want to turn their interesting thoughts into good publications. (shrink)

Nowadays, protecting trust in social sciences also means engaging in open community dialogue, which helps to safeguard robustness and improve efficiency of research methods. The combination of open data, open review and open dialogue may sound simple but implementation in the real world will not be straightforward. However, in view of Begley and Ellis’s (2012) statement that, “the scientific process demands the highest standards of quality, ethics and rigour,” they are worth implementing. More importantly, they are feasible to work (...) on and likely will help to restore plausibility to social sciences research. Therefore, I feel it likely that the triplet of open data, open review and open dialogue will gradually emerge to become policy requirements regardless of the research funding source. (shrink)

Abstract: There has recently been controversy over the existence of 'multiple realization' in addition to some confusion between different conceptions of its nature. To resolve these problems, we focus on concrete examples from the sciences to provide precise accounts of the scientific concepts of 'realization' and 'multiple realization' that have played key roles in recent debates in the philosophy of science and philosophy of psychology. We illustrate the advantages of our view over a prominent rival account ( Shapiro, 2000 (...) and 2004 ) and use our work to rebut recent objections to the long-standing claim that psychological properties are multiply realized. For we use scientific evidence, in combination with our more precise theoretical framework, to show that we have strong reason to believe that psychological properties are indeed multiply realized both at the biochemical and neuronal levels. (shrink)

The ways in which the Aristotelian sciences are related to each other has been discussed in the literature, with some focus on the subalternate sciences. While it is acknowledged that Aristotle, and Plato as well, was concerned as well with how the arts were related to one another, less attention has been paid to Aristotle's views on relationships among the arts. In this paper, I argue that Aristotle's account of the subalternate sciences helps shed light on how (...) Aristotle saw the art of rhetoric relating to dialectic and politics. Initial motivation for comparing rhetoric with the subalternate sciences is Aristotle's use of the language of boundary transgression, germane to the Posterior Analytics, when discussing rhetoric’s boundaries, as well as the language of "over" and "under" found in APo. First, I discuss three passages in Rhetoric Book I and argue that Garver's (1988) account cannot be correct. Second, I look to the subalternate sciences, especially focusing on optics and the distinction between "unqualified" optics and mathematical optics. Third, I discuss rhetoric's dependence on both dialectic and politics. (shrink)

The persistence of “stargazing,” p-hacking and HARKing4 are among the main causes for the severity of the irreproducibility problem in social sciences.

This paper indicates how continental philosophy may contribute to a diagnostics of contemporary life sciences research, as part of a “diagnostics of the present”. First, I describe various options for an oblique reading of emerging scientific discourse, bent on uncovering the basic “philosophemes” of science. Subsequently, I outline a number of radical transformations occurring both at the object-pole and at the subject-pole of the current knowledge relationship, namely the technification of the object and the anonymisation or collectivisation of the (...) subject, under the sway of automation, ICT and big machines. Finally, I further elaborate the specificity of the oblique perspective with the help of Lacan’s theorem of the four discourses. Philosophical reflections on contemporary life sciences concur neither with a Master’s discourse, nor with university discourse, nor with what Lacan refers to as hysterical discourse, but rather with the discourse of the analyst, listening with evenly-poised attention to the scientific files in order to bring to the fore the cupido sciendi which both inspires and disrupts contemporary life sciences discourse. (shrink)

While there has been significant discussion in the health sciences and ethics literatures about problems associated with publication practices (e.g., ghost- and gift-authorship, conflicts of interest), there has been relatively little practical guidance developed to help researchers determine how they should fairly allocate credit for multi-authored publications. Fair allocation of credit requires that participating authors be acknowledged for their contribution and responsibilities, but it is not obvious what contributions should warrant authorship, nor who should be responsible for the quality (...) and content of the scientific research findings presented in a publication. In this paper, we review arguments presented in the ethics and health science literatures, and the policies or guidelines proposed by learned societies and journals, in order to explore the link between author contribution and responsibility in multi-author multidisciplinary health science publications. We then critically examine the various procedures used in the field to help researchers fairly allocate authorship. (shrink)

We live in a world of crowds and corporations, artworks and artifacts, legislatures and languages, money and markets. These are all social objects — they are made, at least in part, by people and by communities. But what exactly are these things? How are they made, and what is the role of people in making them? In The Ant Trap, Brian Epstein rewrites our understanding of the nature of the social world and the foundations of the social sciences. Epstein (...) explains and challenges the three prevailing traditions about how the social world is made. One tradition takes the social world to be built out of people, much as traffic is built out of cars. A second tradition also takes people to be the building blocks of the social world, but focuses on thoughts and attitudes we have toward one another. And a third tradition takes the social world to be a collective projection onto the physical world. Epstein shows that these share critical flaws. Most fundamentally, all three traditions overestimate the role of people in building the social world: they are overly anthropocentric. Epstein starts from scratch, bringing the resources of contemporary metaphysics to bear. In the place of traditional theories, he introduces a model based on a new distinction between the grounds and the anchors of social facts. Epstein illustrates the model with a study of the nature of law, and shows how to interpret the prevailing traditions about the social world. Then he turns to social groups, and to what it means for a group to take an action or have an intention. Contrary to the overwhelming consensus, these often depend on more than the actions and intentions of group members. (shrink)

This paper considers the question of whether the influential distinction between levels of explanation introduced by David Marr can be used as a general framework for contemplating levels of explanation in cognitive sciences. Marr introduced three levels at which we can explain cognitive processes: the computational, algorithmic, and implementational levels. Some argue that Marr’s levels of explanation can only be applied to modular cognitive systems. However, since many psychological processes are non-modular, it seems that Marr’s levels of explanation cannot (...) explain such psychological processes. To show that the latter claim is not convincing, the paper draws upon an influential paradigm from cognitive sciences that is based on the principle of free energy. Based on this paradigm, the paper argues that even non-modular psychological processes can be computationally analyzed and algorithmically implemented. The conclusion of the paper is that, at least under the assumption that the func- tion of the mind is to minimize free energy, Marr’s levels of explanation can be successfully used as a general framework for understanding psychological processes at different levels of description. (shrink)

Artificial intelligence has arrived. In the online world it is already a part of everyday life, sitting invisibly behind a wide range of search engines and online commerce sites. It offers huge potential to enable more efficient and effective business and government but the use of artificial intelligence brings with it important questions about governance, accountability and ethics. Realising the full potential of artificial intelligence and avoiding possible adverse consequences requires societies to find satisfactory answers to these questions. This report (...) sets out some possible approaches, and describes some of the ways government is already engaging with these issues. (shrink)

Where does the mind begin and end? Most philosophers and cognitive scientists take the view that the mind is bounded by the skull or skin of the individual. Robert Wilson, in this provocative and challenging 2004 book, provides the foundations for the view that the mind extends beyond the boundary of the individual. The approach adopted offers a unique blend of traditional philosophical analysis, cognitive science, and the history of psychology and the human sciences. The companion volume, Genes and (...) the Agents of Life, explores the theme in the biological sciences. Written with verve and clarity, this ambitious book will appeal to a broad swathe of professionals and students in philosophy, psychology, cognitive science, and the history of the behavioural and human sciences. You can download the table of contents here. (shrink)

The free-energy principle states that all systems that minimize their free energy resist a tendency to physical disintegration. Originally proposed to account for perception, learning, and action, the free-energy principle has been applied to the evolution, development, morphology, anatomy and function of the brain, and has been called a postulate, an unfalsifiable principle, a natural law, and an imperative. While it might afford a theoretical foundation for understanding the relationship between environment, life, and mind, its epistemic status is unclear. Also (...) unclear is how the free-energy principle relates to prominent theoretical approaches to life science phenomena, such as organicism and mechanism. This paper clarifies both issues, and identifies limits and prospects for the free-energy principle as a first principle in the life sciences. (shrink)

This paper presents three cases of research ethics violations in the social sciences and humanities that involved major educational institutions in Vietnam. The violations share two common points: the use of sophistry by the accused perpetrators and their sympathisers, and the relative ease with which they succeeded unpunished. The strategies the violators used to avoid punishment could be summarised as: (i) relying on people not paying enough attention when asked to do something relatively quickly, (ii) asking for the benefit (...) of the doubt, (iii) redefining the meaning of ethics, and (iv) defaming the whistleblowers and showing how fighting ethics violations is too costly, slow and, in the end, worthless. We offer suggestions to improve transparency: investment in translation and education about codes of conduct in Vietnam; investment in research ethics and integrity; the use of open online resources and platforms; and educating Vietnamese researchers about international standards. (shrink)

This paper sets out to undermine the view that a commitment to the early modern conception of the mind as immortalized in Ryle’s metaphor of the (Cartesian) ghost in the machine and in Quine’s metaphor of the (Lockean) myth of the museum is required to articulate a defence of the sui generis character of humanistic explanations. These powerful metaphors have not only contributed to undermining the claim for methodological pluralism by caricaturizing the arguments for disunity in the sciences; they (...) have also, and more worryingly, planted red herrings that have diverted attention away from the genuine issues at stake. This paper is an exercise in removing these false clues to reveal what the claim for the autonomy of humanistic explanations really amounts to. (shrink)

Genes and the Agents of Life undertakes to rethink the place of the individual in the biological sciences, drawing parallels with the cognitive and social sciences. Genes, organisms, and species are all agents of life but how are each of these conceptualized within genetics, developmental biology, evolutionary biology, and systematics? The 2005 book includes highly accessible discussions of genetic encoding, species and natural kinds, and pluralism above the levels of selection, drawing on work from across the biological (...) class='Hi'>sciences. The book is a companion to the author's Boundaries of the Mind (2004), also available from Cambridge, where the focus is the cognitive sciences. The book will appeal to a broad range of professionals and students in philosophy, biology, and the history of science. You can download the table of contents and the first chapter here. (shrink)

In this chapter I consider various potential challenges to free will from the modern mind sciences. After motivating the importance of considering these challenges, I outline the argument structure for such challenges: they require simultaneously establishing a particular condition for free will and an empirical challenge to that condition. I consider several potential challenges: determinism, naturalism, and epiphenomenalism, and explain why none of these philosophical challenges is bolstered by new discoveries from neuroscience and psychology. I then respond to relevant (...) empirical challenges to the role of consciousness and rationality in action. (shrink)

The epistemic theory of causality views causality as a tool that helps us to predict, explain and control our world, rather than as a relation that exists independently of our epistemic practices. In this chapter, we first provide an introduction to the epistemic theory of causality. We then outline four considerations that motivate the epistemic theory: the failure of standard theories of causality; parsimony; the epistemology of causality; and neutrality. We illustrate these four considerations in the contexts of the social (...) sciences and the cognitive sciences. We argue that the epistemic theory provides a very natural account of causality across these contexts. (shrink)

For some the gene-centered reductionism that permeates contemporary neo-Darwinism is an obstacle for finding a common explanatory framework for both biological and cultural evolution. Thus social scientists are tempted to find new concepts that might bridge the divide between biology and sociology. Yet since Aristotle we know that the level of explanation must be commensurate with the particular question to be answered. In modern natural science there are many instances where a reductionist approach has failed to provide the right answer (...) to the corresponding question. Thus social scientists risk becoming non-relevant when mimicking some features of the natural sciences (such as hard or soft reductionism) just for the sake of it, instead of finding autonomous explanations commensurate with the level of phenomena studied by social science. (shrink)

F.A. Hayek argued that the sciences of complex phenomena, including (perhaps especially) economics, are limited to incomplete “explanations of the principle” and “pattern predictions.” According to Hayek, these disciplines suffer from (what I call) a data problem, i.e., the hopelessness of populating theoretical models with data adequate to full explanations and precise predictions. In Hayek’s terms, explanations in these fields are always a matter of “degree.” However, Hayek’s methodology implies a distinct theory problem: theoretical models of complex phenomena may (...) be underspecified so that, even were all the data available, a full explanation could not be inferred from the model. Where the sciences of complex phenomena are subject to both the data and theory problems, explanations and predictions will be of even lesser “predictive degree.” The paper also considers how to interpret Hayek’s claim that pattern predictions are falsifiable. (shrink)

In the contemporary life sciences more and more researchers emphasize the “limits of reductionism” (e.g. Ahn et al. 2006a, 709; Mazzocchi 2008, 10) or they call for a move “beyond reductionism” (Gallagher/Appenzeller 1999, 79). However, it is far from clear what exactly they argue for and what the envisioned limits of reductionism are. In this paper I claim that the current discussions about reductionism in the life sciences, which focus on methodological and explanatory issues, leave the concepts of (...) a reductive method and a reductive explanation too unspecified. In order to fill this gap and to clarify what the limits of reductionism are I identify three reductive methods that are crucial in the current practice of the life sciences: decomposition, focusing on internal factors, and studying parts in isolation. Furthermore, I argue that reductive explanations in the life sciences exhibit three characteristics: first, they refer only to factors at a lower level than the phenomenon at issue, second, they focus on internal factors and thus ignore or simplify the environment of a system, and, third, they cite only the parts of a system in isolation. (shrink)

The systems studied in the special sciences are often said to be causally autonomous, in the sense that their higher-level properties have causal powers that are independent of the causal powers of their more basic physical properties. This view was espoused by the British emergentists, who claimed that systems achieving a certain level of organizational complexity have distinctive causal powers that emerge from their constituent elements but do not derive from them. More recently, non-reductive physicalists have espoused a similar (...) view about the causal autonomy of special-science properties. They argue that since these properties can typically have multiple physical realizations, they are not identical to physical properties, and further they possess causal powers that differ from those of their physical realisers. Despite the orthodoxy of this view, it is hard to find a clear exposition of its meaning or a defence of it in terms of a well-motivated account of causation. In this paper, we aim to address this gap in the literature by clarifying what is implied by the doctrine of the causal autonomy of special-science properties and by defending the doctrine using a prominent theory of causation from the philosophy of science. (shrink)

This paper challenges the common assumption that some phenotypic traits are quantitative while others are qualitative. The distinction between these two kinds of traits is widely influential in biological and biomedical research as well as in scientific education and communication. This is probably due to both historical and epistemological reasons. However, the quantitative/qualitative distinction involves a variety of simplifications on the genetic causes of phenotypic variability and on the development of complex traits. Here, I examine three cases from the life (...) sciences that show inconsistencies in the distinction: Mendelian traits, Mendelian diseases, and polygenic mental disorders. I show that these traits can be framed both quantitatively and qualitatively depending, for instance, on the methods through which they are investigated and on specific epistemic purposes. This suggests that the received view of quantitative and qualitative traits has a limited heuristic power—limited to some local contexts or to the specific methodologies adopted. Throughout the paper, I provide directions for framing phenotypes beyond the quantitative/qualitative distinction. I conclude by pointing at the necessity of developing a principled characterisation of what phenotypic traits, in general, are. (shrink)

The is the Editorial of the 2015 JPBMB Special Issue on Integral Biomathics: Life Sciences, Mathematics and Phenomenological Philosophy.

It is commonly held that research efforts in the cognitive and behavioral sciences are mainly directed toward providing explanations and that phenomena figure into scientific practice qua explananda. I contend that these assumptions convey a skewed picture of the research practices in question and of the role played by phenomena. I argue that experimental research often aims at exploring and describing “objects of research” and that phenomena can figure as components of, and as evidence for, such objects. I situate (...) my analysis within the existing literature and illustrate it with examples from memory research. (shrink)

Romanian pedagogical theory rests on the assumption that any educational content can be taught and learned faster and better by recourse to a battery of teaching methods. In the present study we question that assumption and show that the methods generally recommended have no didactic merits when it comes to teaching philosophy and the human sciences. In order to prove that we commence by rendering manifest the origins, the specificity and the presuppositions of the teaching methods described in the (...) literature. Afterwards we determine the specificity of the objects of study of philosophy and the human sciences in general. On these bases we develop a series of three arguments that show why, given the particularity of both, the recourse to methods for teaching philosophy and the human sciences is inadequate. (shrink)

In the framework of materialism, the major attention is to find general organizational laws stimulated by physical sciences, ignoring the uniqueness of Life. The main goal of materialism is to reduce consciousness to natural processes, which in turn can be translated into the language of math, physics and chemistry. Following this approach, scientists have made several attempts to deny the living organism of its veracity as an immortal soul, in favor of genes, molecules, atoms and so on. However, advancement (...) in various fields of biology has repeatedly given rise to questions against such a denial and has supplied more and more evidence against the completely misleading ideological imposition that living entities are particular states of matter. In the recent past, however, the realization has arisen that cognitive nature of life at all levels has begun presenting significant challenges to the views of materialism in biology and has created a more receptive environment for the soul hypothesis. Therefore, instead of adjudicating different aprioristic claims, the development of an authentic theory of biology needs both proper scientific knowledge and the appropriate tools of philosophical analysis of life. In a recently published paper the first author of present essay made an attempt to highlight a few relevant developments supporting a sentient view of life in scientific research, which has caused a paradigm shift in our understanding of life and its origin [1]. The present essay highlights the uniqueness of biological systems that offers a considerable challenge to the mainstream materialism in biology and proposes the Vedāntic philosophical view as a viable alternative for development of a biological theory worthy of life. (shrink)

The application of statistical methods and models both in the natural and social sciences is nowadays a trivial fact which nobody would deny. Bold analogies even suggest the application of the same statistical models to fields as different as statistical mechanics and economics, among them the case of the young and controversial discipline of Econophysics . Less trivial, however, is the answer to the philosophical question, which has been raised ever since the possibility of “commuting” statistical thinking and models (...) between natural and social sciences emerged: whether such a methodological kinship would imply some kind of more profound unity of the natural and the social domain. Starting with Adolphe Quetelet (1796-1874) and ending with the Vienna Circle (from the late 1920s until the 1940s), this paper offers a brief historical and philosophical reconstruction of some important stages in the development of statistics as “commuting” between the natural and the social sciences. This reconstruction is meant to highlight (with respect to the authors under consideration): (1) the existence of a significant correlation between the readiness to “transfer” statistical thinking from natural to social sciences and vice versa, on the one hand, and the standpoints on the issue of the unity/disunity of science, on the other; (2) the historical roots and the fortunes of the analogy between statistical models of society and statistical models of gases. (shrink)

1. Une dispute épistémologique 1.1 Quatre itinéraires à proximité puis à distance des structuralismes 1.2 Un différend sur les « usages réglés du rationalisme » en sciences de l’homme 2. Les mots et les descriptions en sciences de l’homme 2.1 Une commune limitation du déterminisme linguistique 2.2 Un problème philosophique implicite : descriptions définies et noms propres 2.3 L’usage des descriptions définies en sciences de l’homme 2.4 Les (semi-)noms propres des sciences historiques 2.5 Le degré de (...) généralité des concepts employés et ses conséquences sur les raisonnements 3. La spécificité des raisonnements en sciences de l’homme 3.1 Quelle logique pour raisonner sur les phénomènes humains ? 3.2 Les usages d’une référence commune : la logique naturelle 3.3 Propositions et énoncés : divergences sur l’analyse des raisonnements 4. Le juste degré de formalisation du langage et des raisonnements 4.1 La formalisation des descriptions 4.2 Les modèles et la formalisation des raisonnements 4.3 Des formalisations qui s’ignorent 5. Le caractère historique des sciences de l’homme 5.1 Formaliser implique-t-il de dé-historiciser ? 5.2 Les mécanismes du changement scientifique 5.3 Pragmatique de l’intervention théorique. (shrink)

The Système de philosophie by Pierre Sylvain Régis can be considered as the achievement both of the scientific liveliness of the Académie des Sciences in the 17th century and of its fruitful relationship with the Royal Society. Since it aims to shape the new conception of the universe in terms of a system, the Système represents one of the most mature achievements of Cartesian philosophy and it is characterized by an empirical interpretation of Descartes’ thought. The Système therefore reflects (...) two important phenomena occurring in the Europe of the 17th century: the scientific revolution and the proliferation of Academies. In fact, this ambitious work could be undertaken with the support of the Académie des Sciences and the Journal des Sçavants. My paper will analyse the French context by focusing to outline the role which the Académie de France had both in France, as the medium of dissemination of the new philosophy despite censorship, and abroad, in particular through the relationship with the Royal Society in England. I aim to analyse the role of the Journal des Sçavants as a means to share ideas other than by correspondence and as a trait d’union between “rationalist France” and “empiricist England”. I intend to question whether it is possible to establish a connection between the empirical interpretation of French Cartesianism, the consolidation of the Académie de France and the employment of new means of academic communication. The paper will show that the second half of 17th century France represents a remarkable exception to the conventional picture, which states that in 17th century Europe, following the success of a mechanistic interpretation of reality, two philosophical school clashed: rationalism, predominating on the continent, and empiricism, in England. (shrink)

The kinds of real or natural kinds that support explanation and prediction in the social sciences are difficult to identify and track because they change through time, intersect with one another, and they do not always exhibit their properties when one encounters them. As a result, conceptual practices directed at these kinds will often refer in ways that are partial, equivocal, or redundant. To improve this epistemic situation, it is important to employ open-ended classificatory concepts, to understand when different (...) research programs are tracking the same real kind, and to maintain an ongoing commitment to interact causally with real kinds to focus reference on those kinds. A tempting view of these non-idealized epistemic conditions should be avoided: that they signal an ontological structure of the social world so plentiful that it would permit ameliorated classificatory schemes to achieve their normative aims regardless of whether they defer to real-kind classificatory schemes. To ground these discussions, the essay appeals to an overlooked convergence in the systematic naturalistic frameworks of Richard Boyd and Ruth Millikan. (shrink)

This paper offers a critique of an account of explanatory integration that claims that explanations of cognitive capacities by functional analyses and mechanistic explanations can be seamlessly integrated. It is shown that achieving such explanatory integration requires that the terms designating cognitive capacities in the two forms of explanation are stable but that experimental practice in the mind-brain sciences currently is not directed at achieving such stability. A positive proposal for changing experimental practice so as to promote such stability (...) is put forward and its implications for explanatory integration are briefly considered. (shrink)

Background and Aim: Today universities admit International Students as well as national students. Tehran University of Medical Sciences has been also started admitting International Students in regards of its Internationalization aims. Student’s satisfaction is of high importance in order to gain the given goals. The purpose of this study was to evaluate the satisfaction of International students of TUMS. -/- Materials and Methods: This was a descriptive study. The target group was international students of TUMS, the participants were selected (...) through availability sampling. The research instrument was researcher-made questionnaire which the reliability calculated as 0.97 by Chronbach’s alpha. The data was analysied by Microsoft Excell version 2010. -/- Results: The overall satisfaction of the students was 70% (satisfied and completely satisfied) while the overall dissatisfaction was 10% (dissatisfied and completely dissatisfied). -/- Conclusion: Given satisfaction of more than half of the International students, TUMS has performed reasonably. Based on the results obtained in this research the university may pay attention to the fields reported as dissatisfied. (shrink)

The aim of this paper is to discuss the “Framework for M&S with Agents” (FMSA) proposed by Zeigler et al. [2000, 2009] in regard to the diverse epistemological aims of agent simulations in social sciences. We first show that there surely are great similitudes, hence that the aim to emulate a universal “automated modeler agent” opens new ways of interactions between these two domains of M&S with agents. E.g., it can be shown that the multi-level conception at the core (...) of the FMSA is similar in both contexts: notions of “levels of system specifi cation”, “behavior of models”, “simulator”and “endomorphic agents” can be partially translated in the terms linked to the “denotational hierarchy” (DH) recently introduced in a multi-level centered epistemology of M&S. Second, we suggest considering the question of “credibility” of agent M&S in social sciences when we do not try to emulate but only to simulate target systems. Whereas a stringent and standardized treatment of the heterogeneous internal relations (in the DH) between systems of formalisms is the key problem and the essential challenge in the scope of Agent M&S driven engineering, it is urgent too to address the problem of the external relations (and of the external validity, hence of the epistemic power and credibility) of such levels of formalisms in the specific domains of agent M&S in social sciences, especially when we intend to introduce the concepts of activity tracking. (shrink)

In this multi-disciplinary investigation we show how an evidence-based perspective of quantification---in terms of algorithmic verifiability and algorithmic computability---admits evidence-based definitions of well-definedness and effective computability, which yield two unarguably constructive interpretations of the first-order Peano Arithmetic PA---over the structure N of the natural numbers---that are complementary, not contradictory. The first yields the weak, standard, interpretation of PA over N, which is well-defined with respect to assignments of algorithmically verifiable Tarskian truth values to the formulas of PA under the interpretation. (...) The second yields a strong, finitary, interpretation of PA over N, which is well-defined with respect to assignments of algorithmically computable Tarskian truth values to the formulas of PA under the interpretation. We situate our investigation within a broad analysis of quantification vis a vis: * Hilbert's epsilon-calculus * Goedel's omega-consistency * The Law of the Excluded Middle * Hilbert's omega-Rule * An Algorithmic omega-Rule * Gentzen's Rule of Infinite Induction * Rosser's Rule C * Markov's Principle * The Church-Turing Thesis * Aristotle's particularisation * Wittgenstein's perspective of constructive mathematics * An evidence-based perspective of quantification. By showing how these are formally inter-related, we highlight the fragility of both the persisting, theistic, classical/Platonic interpretation of quantification grounded in Hilbert's epsilon-calculus; and the persisting, atheistic, constructive/Intuitionistic interpretation of quantification rooted in Brouwer's belief that the Law of the Excluded Middle is non-finitary. We then consider some consequences for mathematics, mathematics education, philosophy, and the natural sciences, of an agnostic, evidence-based, finitary interpretation of quantification that challenges classical paradigms in all these disciplines. (shrink)

Social scientists often draw on a variety of evidence for their causal inferences. There is also a call to use a greater variety of evidence in social science research. This topical collection examines the philosophical foundations and implications of evidential diversity in the social sciences. It assesses the application of Evidential Pluralism in the context of the social sciences, especially its application to economics and political science. It also discusses the concept of causation in cognitive science and the (...) implications of evidential diversity for the social sciences. (shrink)

Although scientific realism is the default position in the life sciences, philosophical accounts of realism are geared towards physics and run into trouble when applied to fields such as biology or neuroscience. In this paper, I formulate a new robustness-based version of entity realism, and show that it provides a plausible account of realism for the life sciences that is also continuous with scientific practice. It is based on the idea that if there are several independent ways of (...) measuring, detecting or deriving something, then we are justified in believing that it is real. I also consider several possible objections to robustness-based entity realism, discuss its relationship to ontic structural realism, and show how it has the potential to provide a novel response to the pessimistic induction argument. (shrink)

In the present paper I investigate the role that analogy plays in eighteenth-century biology and in Kant’s philosophy of biology. I will argue that according to Kant, biology, as it was practiced in the eighteenth century, is fundamentally based on analogical reflection. However, precisely because biology is based on analogical reflection, biology cannot be a proper science. I provide two arguments for this interpretation. First, I argue that although analogical reflection is, according to Kant, necessary to comprehend the nature of (...) organisms, it is also necessarily insufficient to fully comprehend the nature of organisms. The upshot of this argument is that for Kant our understanding of organisms is necessarily limited. Second, I argue that Kant did not take biology to be a proper science because biology was based on analogical arguments. I show that Kant stemmed from a philosophical tradition that did not assign analogical arguments an important justificatory role in natural science. Analogy, according to this conception, does not provide us with apodictically certain cognition. Hence, sciences based on analogical arguments cannot constitute proper sciences. (shrink)

This collection addresses two different audiences: 1) historians and philosophers of the life sciences reflecting on collaborations across disciplines, especially as regards defining and addressing Grand Challenges; 2) researchers and other stakeholders involved in cross-disciplinary collaborations aimed at tackling Grand Challenges in the life and medical sciences. The essays collected here offer ideas and resources both for the study and for the practice of goal-driven cross-disciplinary research in the life and medical sciences. We organise this introduction in (...) three sections. The first section provides some background and context. The second motivates our take on this topic and then outlines the central ideas of each paper. The third section highlights the specificity and significance of this approach by considering: a) how this collection departs from existing literature on inter- and trans-disciplinarity, b) what is characteristic about this approach, and c) what role this suggests for the history and philosophy of the life sciences in addressing Grand Challenges. (shrink)

CRUICKSHANK J. Nursing Inquiry 2012; 19: 71–82 Positioning positivism, critical realism and social constructionism in the health sciences: a philosophical orientationThis article starts by considering the differences within the positivist tradition and then it moves on to compare two of the most prominent schools of postpositivism, namely critical realism and social constructionism. Critical realists hold, with positivism, that knowledge should be positively applied, but reject the positivist method for doing this, arguing that causal explanations have to be based not (...) on empirical regularities but on references to unobservable structures. Social constructionists take a different approach to postpositivism and endorse a relativist rejection of truth and hold that the task of research is to foster a scepticism that undermines any positive truth claim made. It is argued that social constructionism is a contradictory position. (shrink)

Elimination controversies are ubiquitous in philosophy and the human sciences. For example, it has been suggested that human races, hysteria, intelligence, mental disorder, propositional attitudes such as beliefs and desires, the self, and the super-ego should be eliminated from the list of respectable entities in the human sciences. I argue that eliminativist proposals are often presented in the framework of an oversimplified “phlogiston model” and suggest an alternative account that describes ontological elimination on a gradual scale between criticism (...) of empirical assumptions and conceptual choices. (shrink)

Mathematics is often taken to play one of two roles in the empirical sciences: either it represents empirical phenomena or it explains these phenomena by imposing constraints on them. This article identifies a third and distinct role that has not been fully appreciated in the literature on applicability of mathematics and may be pervasive in scientific practice. I call this the “bridging” role of mathematics, according to which mathematics acts as a connecting scheme in our explanatory reasoning about why (...) and how two different descriptions of an empirical phenomenon relate to each other. I discuss two bridging roles appearing in biological and physical explanations. (shrink)

In this thesis, I argue that a good historical science will have the following characteristics: Firstly, it will seek to construct causal histories of the past. Secondly, the construction of these causal histories will utilise well-tested regularities of science. Additionally, well-tested regularities will secure the link between observations of physical traces and the causal events of interest. However, the historical sciences cannot use these regularities in a straightforward manner. The regularities must accommodate the idiosyncrasies of the past, and the (...) degradation of evidence over time. Through an examination of how the historical sciences work in practice, I show how they can confirm these unique causal histories, and the limits to their confirmatory strategies. (shrink)

The fact that philosophy has not made much progress in finding answers to its big questions is often demonstrated with a comparison to natural sciences. Some have recently argued that the state of progress in philosophy is not so different than the sciences: there are many unresolved big questions in the sciences too, and philosophy has made progress on its smaller questions just like the sciences. I argue that this comparison is misleading: the situation in the (...) two fields looks similar only if we focus on unresolved scientific questions that have philosophical import. The sciences have made progress on many questions that are significant but that are not ‘big’ in a philosophical sense, while philosophy has made less progress on its own significant questions. Moreover, ‘smaller’ questions in the sciences are significant in themselves, while smaller questions in philosophy do not have much significance beyond their contribution to the bigger debates. I conclude with brief remarks about what underlies the disparity between the two fields: to understand the slow pace of progress in philosophy we should pay attention to factors that are at the intersection of the nature of philosophical questions, current philosophical methodology and the sociology of academic philosophy. (shrink)

Searle claims that his theory of institutional reality is particularly suitable as a theoretical scheme of individuation for work in the social sciences. We argue that this is not the case. The first problem with regulatory individuation is due to the familiar fact that institutional judgments have constrained revisability criteria. The second problem with regulatory individuation is due to the fact that institutions amend their declarative judgments based on the inferential (syntactic) properties of the judgments and in response to (...) regulatory pressure, and not based on descriptive (semantic) properties and in response to matters of descriptive adequacy. These two problems imply that ‘regulatory kinds' (countries, borders, kings) will almost inevitably be disjunctive kinds that are ill-suited for scientific theorizing. This also explains why the law often makes odd pronouncements, e.g. calling ketchup a vegetable, considering an arm bent fifteen degrees to be straight, and not admitting that Somaliland is a country. (shrink)

Intellectual history still quite commonly distinguishes between the episode we know as the Scientific Revolution, and its successor era, the Enlightenment, in terms of the calculatory and quantifying zeal of the former—the age of mechanics—and the rather scientifically lackadaisical mood of the latter, more concerned with freedom, public space and aesthetics. It is possible to challenge this distinction in a variety of ways, but the approach I examine here, in which the focus on an emerging scientific field or cluster of (...) disciplines—the ‘life sciences’, particularly natural history, medicine, and physiology —is, not Romantically anti-scientific, but resolutely anti-mathematical. Diderot bluntly states, in his Thoughts on the interpretation of nature, that “We are on the verge of a great revolution in the sciences. Given the taste people seem to have for morals, belles-lettres, the history of nature and experimental physics, I dare say that before a hundred years, there will not be more than three great geometricians remaining in Europe. The science will stop short where the Bernoullis, the Eulers, the Maupertuis, the Clairauts, the Fontaines and the D’Alemberts will have left it.... We will not go beyond.” Similarly, Buffon in the first discourse of his Histoire naturelle speaks of the “over-reliance on mathematical sciences,” given that mathematical truths are merely “definitional” and “demonstrative,” and thereby “abstract, intellectual and arbitrary.” Earlier in the Thoughts, Diderot judges “the thing of the mathematician” to have “as little existence in nature as that of the gambler.” Significantly, this attitude—taken by great scientists who also translated Newton or wrote careful papers on probability theory, as well as by others such as Mandeville—participates in the effort to conceptualize what we might call a new ontology for the emerging life sciences, very different from both the ‘iatromechanism’ and the ‘animism’ of earlier generations, which either failed to account for specifically living, goal-directed features of organisms, or accounted for them in supernaturalistic terms by appealing to an ‘anima’ as explanatory principle. Anti-mathematicism here is then a key component of a naturalistic, open-ended project to give a successful reductionist model of explanation in ‘natural history’, a model which is no more vitalist than it is materialist—but which is fairly far removed from early modern mechanism. (shrink)

Mathematical models are a well established tool in most natural sciences. Although models have been neglected by the philosophy of science for a long time, their epistemological status as a link between theory and reality is now fairly well understood. However, regarding the epistemological status of mathematical models in the social sciences, there still exists a considerable unclarity. In my paper I argue that this results from specific challenges that mathematical models and especially computer simulations face in the (...) social sciences. The most important difference between the social sciences and the natural sciences with respect to modeling is that in the social sciences powerful and well confirmed background theories (like Newtonian mechanics, quantum mechanics or the theory of relativity in physics) do not exist in the social sciences. Therefore, an epistemology of models that is formed on the role model of physics may not be appropriate for the social sciences. I discuss the challenges that modeling faces in the social sciences and point out their epistemological consequences. The most important consequences are that greater emphasis must be placed on empirical validation than on theoretical validation and that the relevance of purely theoretical simulations is strongly limited. (shrink)

This paper aims to analyze the relationship between applied social sciences and practical wisdom. Utilizing conceptual analysis methodology, it begins by defining application, action, and practice, then delves into the conceptual analysis of applied social sciences and practical wisdom. The concept of phronesis in Aristotle's philosophy and practical wisdom in Muslim philosophers are studied and analyzed. By examining different definitions of practical wisdom among Muslim scholars and comparing their views with those of Aristotle, the paper evaluates their perspectives. (...) Subsequently, it focuses on exploring the relationship between applied social sciences and practical wisdom, analyzing their points of divergence and convergence. Considering the inherent nature of applied social sciences as technological and practical, contrasted with the virtue-based nature of practical wisdom, the paper raises the question of whether phronesis can logically benefit from pure applied social sciences as theoretical wisdom to guide individuals towards virtuous action. It also questions whether this scenario could be considered a form of applied social sciences. (shrink)