We present a model of the distribution of labour in science. Such models tend to rely on the mechanism of the invisible hand . Our analysis starts from the necessity of standards in distributed processes and the possibility of multiple standards in science. Invisible hand models turn out to have only limited scope because they are restricted to describing the atypical single-standard case. Our model is a generalisation of these models to J standards; single-standard models such as Kitcher are a (...) limiting case. We introduce and formalise this model, demonstrate its dynamics and conclude that the conclusions commonly derived from invisible hand models about the distribution of labour in science are not robust against changes in the number of standards. (shrink)

It is with real pleasure that I present the first issue of Dialogues in Philosophy, Mental and Neuro Sciences. First, without sounding unusual, I want to start with a thank you to the association for intercultural and interdisciplinary dialogues “Crossing Dialogues”.

Discussions over whether these natural kinds exist, what is the nature of their existence, and whether natural kinds are themselves natural kinds aim to not only characterize the kinds of things that exist in the world, but also what can knowledge of these categories provide. Although philosophically critical, much of the past discussions of natural kinds have often answered these questions in a way that is unresponsive to, or has actively avoided, discussions of the empirical use of natural kinds and (...) what I dub “activities of natural kinding” and “natural kinding practices”. The natural kinds of a particular discipline are those entities, events, mechanisms, processes, relationships, and concepts that delimit investigation within it—but we might reasonably ask: How are these natural kinds discovered?, How are they made?, Are they revisable?, and Where do they come from? A turn to natural kinding practices reveals a new set of questions open for investigation: How do natural kinds explain through practice?, What are natural kinding practices and classifications and why should we care?, What is the nature of natural kinds viewed as a set of activities?, and How do practice approaches to natural kinds shape and reconfigure scientific disciplines? Natural kinds have traditionally been discussed in terms of how they classify the contents of the world. The metaphysical project has been one which identifies essences, laws, sameness relations, fundamental properties, and clusters of family resemblances and how these map out the ontological space of the world. But actually how this is done has been less important in the discussion than the resultant categories that are produced. I aim to rectify these omissions and suggest a new metaphysical project investigating kinds in practice. (shrink)

Metaphors allow us to come to terms with abstract and complex information, by comparing it to something which is structured, familiar and concrete. Although modern science is “iconoclastic”, as Gaston Bachelard phrases it, scientists are at the same time prolific producers of metaphoric images themselves. Synthetic biology is an outstanding example of a technoscientific discourse replete with metaphors, including textual metaphors such as the “Morse code” of life, the “barcode” of life and the “book” of life. This paper focuses on (...) a different type of metaphor, however, namely on the archetypal metaphor of the mandala as a symbol of restored unity and wholeness. Notably, mandala images emerge in textual materials related to one of the new “frontiers” of contemporary technoscience, namely the building of a synthetic cell: a laboratory artefact that functions like a cell and is even able to replicate itself. The mandala symbol suggests that, after living systems have been successfully reduced to the elementary building blocks and barcodes of life, the time has now come to put these fragments together again. We can only claim to understand life, synthetic cell experts argue, if we are able to technically reproduce a fully functioning cell. This holistic turn towards the cell as a meaningful whole also requires convergence at the “subject pole”: the building of a synthetic cell as a practice of the self, representing a turn towards integration, of multiple perspectives and various forms of expertise. (shrink)

Одной из особенностей прагматизма является, как известно, трактовка познания, свободная от апелляции к корреспондентной теории истины и постулирования независимой (от человека) реальности. Все прагматисты, к каким бы воззрениям по частным вопросам они ни склонялись, придерживаются операциональной концепции познания. Согласно этой концепции, достаточным основанием знания является его применимость на практике. Данный аспект неоднократно затрагивался в ходе дискуссий о сходствах и различиях марксизма и прагматизма. Несмотря на существенное расхождение между прагматизмом и марксизмом в понимании природы знания, многие исследователи пытались провести параллели между (...) этими двумя интеллектуальными традициями. В частности, Бертран Рассел указывал на близость философии Дьюи «доктрине другого экс-гегельянца, Карла Маркса, как она была сформулирована в его “Тезисах о Фейербахе”». По мнению Рассела, если не придавать слишком большого значения терминологическим нюансам, Марксова теория деятельности, или праксиса, в главных моментах «едва отличима от инструментализма». Этот взгляд получил распространение даже среди прагматистов, а также американских марксистов (точнее, троцкистов), которые в конце 40-х годов прошлого века трактовали прагматизм Дьюи как прямое продолжение и развитие марксизма. Дж. Новак, к примеру, утверждал, что «самым выдающимся современным мыслителем, впитавшим в себя все лучшее, что было у Маркса, является Дьюи». В. Ленина — как практика, а не теоретика — Новак считал, в свою очередь, «скрытым последователем» Дьюи. Согласно бывшему марксисту С. Хуку, прагматизм — это философия «экспериментального натурализма», т. е. теория, «развивающая наиболее здравые и продуктивные идеи Маркса о мире». В статье (с опорой главным образом на аргументацию советских марксистов) критически пересматривается философский диалог между марксизмом и прагматизмом. Основное внимание уделяется понятию деятельности, или праксиса, а также взаимосвязи субъекта и объекта в познании. // It is well-known that pragmatism advocates an approach on cognition without appealing to man-independent reality and truth as correspondence with reality. Instead, pragmatists, notwithstanding the diversity of their particular views, hold an operational conception of knowledge, according to which all that is needed is knowledge to have a suitable kind of correspondence with practice. This point has been scrutinized in the long standing discussion about the convergences and deviations between Marxism and pragmatism. The profound divergence between Marxism and pragmatism with regard to the aforementioned issues was not enough to prevent philosophers from attempting to trace affinities between these two distinct intellectual trends. For example, Bertrand Russell pointed out the “close similarity” of Dewey’s doctrine to “that of another exHegelian, Karl Marx, as it is delineated in his Theses on Feuerbach.” Russell thinks that Marx’s concept of activity or praxis is in spite of differences in terminology “essentially indistinguishable from instrumentalism.” This line of reasoning seems to be quite influential, even among pragmatists. Notably, some American Marxists (especially Trotskyists, to be exact) at the late 40’s overemphasized the affinity between Dewey’s pragmatism and Marxism, and even understood Dewey’s pragmatism as a continuation of Marxism. For example, G. Novack comments that “[t]he most outstanding figure in the world today in whom the best elements of Marx’s thought are present is John Dewey,” and presents Lenin as “an unavowed disciple of Dewey in practice.” According to S. Hook, a former Marxist who turned to pragmatism and became one of the most influential philosophers who discussed the relation between Marxism and pragmatism, the latter is “the philosophy of experimental naturalism” which can be regarded “as a continuation of what is soundest and most fruitful in Marx’s philosophical outlook upon the world.” In this paper, I intend to critically reassess this philosophical dialogue between Marxism and pragmatism, by further deploying the argumentation provided mainly by Soviet Marxists with regard to the aforementioned issues, focusing especially on two of them: the concept of activity (or praxis) and the interrelation of subject and object in cognition. (shrink)

The current state of philosophy of science is characterized by stasis in the struggle between realism and antirealism. In recent years, a number of authors have come out with a program of scientific perspectivism that claims to sublate this great collision and gain the status of a new epistemological paradigm: “perspectivism, or, better, perspectival realism, is one of the newest attempts to find a middle ground between scientific realism and antirealism” [1. P. 2]. Important milestones of the perspective (...) movement were the works of Ronald Giere, Francois Recanati, Bas van Fraassen, Michela Massimi, and others. The thesis of the article is that perspectivism has not yet realized its claims to autonomy, although it has become an important new arena for discussions between realists and antirealists who try to appropriate perspectivist concepts and arguments. The “middle ground,” when thought out consistently and thoroughly, turns out to lie not “between,” but either in the territory of realism or in the territory of antirealism, depending on the presumptions of the author of a particular perspectivist conception. This is demonstrated by the analysis of the conceptions of Giere, Massimi, and Recanati. Giere’s perspectivism is based on the metaphor of color vision, and for him only some (secondary) qualities of real objects turn out to be perspectival, i.e., subject-dependent. Massimi’s perspectivism attempts, on the basis of a visual arts metaphor, to combine the phenomenon of the plurality of scientific theories (“perspectival disagreement” about what an object is) with the general realist attitude of science (agreement about that there is an object). Recanati’s perspectivism syncretizes realism about ordinary objects and relativism about other things. The first two versions of perspectivism rely on a perceptual metaphor: perspective is conditioned by the perceptual constitution of the observer, that is, it arises at the mental or cognitive level. Recanati’s version attempts to derive perspective from contextuality, that is, it is semantic. However, it does not show exactly how perceptual categories are superimposed on theories or how scientific concepts reveal their perspectival character. The isomorphism of perception and theoretical thinking, sensibility and understanding, remains undemonstrated. On the one hand, perspectivist efforts are motivated by an important concern to account for antirealist critique (lack of access to the “view from nowhere,” factual and semantic underdetermination, difficulties with the idea of approaching the truth, the historicity of knowledge, the activeness of the constructing subject, etc.) while preserving the scientific commitment to universality, validity, and truthfulness. On the other hand, the ontological question remains fundamental and unavoidable, and perspectivism (yet?) fails to circumvent it. As we see, all three versions of perspectivism considered in this article turn out to be varieties of realism: Giere and Massimi recognize this explicitly, while Recanati de facto assumes a quite respectable and conservative position of selective realism with respect to ordinary objects. (shrink)

The connection between brain and mind is an important scientific and philosophical question that we are still far from completely understanding. A crucial point to our work is noticing that thermodynamics provides a convenient framework to model brain activity, whereas cognition can be modeled in information-theoretical terms. In fact, several models have been proposed so far from both approaches. A second critical remark is the existence of deep theoretical connections between thermodynamics and information theory. In fact, some well-known (...) authors claim that the laws of thermodynamics are nothing but principles in information theory. Unlike in physics or chemistry, a formalization of the relationship between information and energy is currently lacking in neuroscience. In this paper we propose a framework to connect physical brain and cognitive models by means of the theoretical connections between information theory and thermodynamics. Ultimately, this article aims at providing further insight on the formal relationship between cognition and neural activity. (shrink)

A collective understanding that traces a debate between ‘what is science?’ and ‘what is a science about?’ has an extraction to the notion of scientific knowledge. The debate undertakes the pursuit of science that hardly extravagance the dogma of pseudo-science. Scientific conjectures invoke science as an intellectual activity poured by experiences and repetition of the objects that look independent of any idealist views (believes in the consensus of mind-dependence reality). The realistic machinery employs in an empiricist exposition (...) of the objective phenomenon by synchronizing the general method to make observational predictions that cover all the phenomena of the particular entity without any exception. The formation of science encloses several epistemological purviews and a succession of conjectures cum refutation that a newer theorem could reinstate. My attempt is to advocate a holistic plea of scientific conjectures that outruns the restricted regulation of experience or testable hypothesis to render the validity of a chain of logical reasoning (deductive or inductive) of basic scientific statements. The milieu of scientific intensification integrates speculation that loads efficiency towards a new experimental dimension where the reality is not itself objective or observers relative; in fact the observed phenomenon divulges in the constructive progression of preferred methods of falsifiability and uncertainty. (shrink)

Otto Neurath’s empiricist methodology of economics and his contributions to politi- cal economy have gained increasing attention in recent years. We connect this research with contemporary debates regarding the epistemological status of thought experiments by reconstructing Neurath’s utopias as linchpins of thought experiments. In our three reconstructed examples of different uses of utopias/dystopias in thought experiments we employ a reformulation of Häggqvist’s model for thought experiments and we argue that: (1) Our reformulation of Häggqvist’s model more adequately complies with many (...) uses of thought experiments, especially with the open-ended discussions of utopias and dys- topias in thought experiments. (2) As a strict logical empiricist, Neurath is committed to a strictly empiricist account of thought experiments. John Norton’s empiricist argument view can indeed account for the justifications of empirical beliefs and genuine discoveries targeted by scientific utopianism in three distinct (yet connected) ways, all of which Neur- ath already contemplated: (2.I) Dealing with utopias and thought experiments on a regular basis increases creativity and inventiveness. (2.II) Particular ways of presenting knowl- edge facilitate scientific discovery and social progress. (2.III) The use of utopias in thought experiments can prompt conceptual change and allow access to new phenomena. We con- clude by highlighting that, even though thought experiments support a positive attitude for exploring new social possibilities, Neurath points out that active decisions are unavoidable. The exploration of alternatives and the awareness of a need for decisions in policy discus- sion avert a technocratic outlook in social science. (shrink)

A collective understanding that traces a debate between 'what is science?’ and ‘what is a science about?’ has an extraction to the notion of scientific knowledge. The debate undertakes the pursuit of science that hardly extravagance the dogma of pseudo-science. Scientific conjectures invoke science as an intellectual activity poured by experiences and repetition of the objects that look independent of any idealist views (believes in the consensus of mind-dependence reality). The realistic machinery employs in an empiricist exposition (...) of the objective phenomenon by synchronizing the general method to make observational predictions that cover all the phenomena of the particular entity without any exception. The formation of science encloses several epistemological purviews and a succession of conjectures cum refutation that a newer theorem could reinstate. My attempt is to advocate a holistic plea of scientific conjectures that outruns the restricted regulation of experience or testable hypothesis to render the validity of a chain of logical reasoning (deductive or inductive) of basic scientific statements. The milieu of scientific intensification integrates speculation that loads efficiency towards a new experimental dimension where the reality is not itself objective or observers relative; in fact the observed phenomenon divulges in the constructive progression of preferred methods of falsifiability and uncertainty. (shrink)

In this article, three concepts that constitute the pillars of sciences, namely the subject, principle and problem, will be examined relying on Avicenna’s (d. 428/1037) book of Burhān. These three concepts, which generally determine the scope of scientific research and the principles on which it should be based, were introduced systematically for the first time by Aristotle (d. 322 BC) in the history of thought. Through these concepts, philosophical sciences could be distinguished from one another and it became possible (...) for each science to examine specific parts of existence. This distinction, which was also adopted by the scholars of Islamic thought, has presented such an integrity that neither philosophical disciplines nor religious sciences could remain indifferent. As a matter of fact, especially in the later period of theologicians, the information was considered as science only if it was based on these three concepts. Therefore, it can be asserted that these three concepts were considered as the measure of scientific activity, first by peripatetic philosophy and later by other disciplines. (shrink)

In considering relations between science and theology, the discussion of the Big Bang model plays a significant role. Amongst the sources of this model there are not only scientific achievements of recent decades taken as objective knowledge as seen in modern methodology, but also many non-scientific factors. The latter is connected with the quite obvious fact that the authors, as well as the recipients of the Model, are people who are guided in their activity - including obtaining (...) their rational knowledge - by non-rational motives. Those motives appear on the one hand in the very process of creation of the Model. Different scientific theories as well as unverified hypotheses are being joined in one "picture" called The Standard Model. It seems that it is being done on the grounds of various factors that lie outside the field of science. Among them there are the different convictions of the persons constructing this view of the world. However, those convictions, commonly shared by the authors and recipients of the Model, are not based on the rational criterion of scientific knowledge. On the other hand, the Big Bang model may be interpreted in opposite ways by its recipients. The influences of religious and other beliefs are so essential, that they may lead to extremely different conclusions though based on the same ground. It is demonstrated that, due to the epistemological status of cosmology, such a situation is inevitable, and no final verdict with regard to the idea of the cause of the world can be reached. (shrink)

We introduce the notion of complexity, first at an intuitive level and then in relatively more concrete terms, explaining the various characteristic features of complex systems with examples. There exists a vast literature on complexity, and our exposition is intended to be an elementary introduction, meant for a broad audience. -/- Briefly, a complex system is one whose description involves a hierarchy of levels, where each level is made of a large number of components interacting among themselves. The time evolution (...) of such a system is of a complex nature, depending on the interactions among subsystems in the next level below the one under consideration and, at the same time, conditioned by the level above, where the latter sets the context for the evolution. Generally speaking, the interactions among the constituents of the various levels lead to a dynamics characterized by numerous characteristic scales, each level having its own set of scales. What is more, a level commonly exhibits ‘emergent properties’ that cannot be derived from considerations relating to its component systems taken in isolation or to those in a different contextual setting. In the dynamic evolution of some particular level, there occurs a self-organized emergence of a higher level and the process is repeated at still higher levels. -/- The interaction and self-organization of the components of a complex system follow the principle commonly expressed by saying that the ‘whole is different from the sum of the parts’. In the case of systems whose behavior can be expressed mathematically in terms of differential equations this means that the interactions are nonlinear in nature. -/- While all of the above features are not universally exhibited by complex systems, these are nevertheless indicative of a broad commonness relative to which individual systems can be described and analyzed. There exist measures of complexity which, once again, are not of universal applicability, being more heuristic than exact. The present state of knowledge and understanding of complex systems is itself an emerging one. Still, a large number of results on various systems can be related to their complex character, making complexity an immensely fertile concept in the study of natural, biological, and social phenomena. -/- All this puts a very definite limitation on the complete description of a complex system as a whole since such a system can be precisely described only contextually, relative to some particular level, where emergent properties rule out an exact description of more than one levels within a common framework. -/- We discuss the implications of these observations in the context of our conception of the so-called noumenal reality that has a mind-independent existence and is perceived by us in the form of the phenomenal reality. The latter is derived from the former by means of our perceptions and interpretations, and our efforts at sorting out and making sense of the bewildering complexity of reality takes the form of incessant processes of inference that lead to theories. Strictly speaking, theories apply to models that are constructed as idealized versions of parts of reality, within which inferences and abstractions can be carried out meaningfully, enabling us to construct the theories. -/- There exists a correspondence between the phenomenal and the noumenal realities in terms of events and their correlations, where these are experienced as the complex behavior of systems or entities of various descriptions. The infinite diversity of behavior of systems in the phenomenal world are explained within specified contexts by theories. The latter are constructs generated in our ceaseless attempts at interpreting the world, and the question arises as to whether these are reflections of `laws of nature' residing in the noumenal world. This is a fundamental concern of scientific realism, within the fold of which there exists a trend towards the assumption that theories express truths about the noumenal reality. We examine this assumption (referred to as a ‘point of view’ in the present essay) closely and indicate that an alternative point of view is also consistent within the broad framework of scientific realism. This is the view that theories are domain-specific and contextual, and that these are arrived at by independent processes of inference and abstractions in the various domains of experience. Theories in contiguous domains of experience dovetail and interpenetrate with one another, and bear the responsibility of correctly explaining our observations within these domains. -/- With accumulating experience, theories get revised and the network of our theories of the world acquires a complex structure, exhibiting a complex evolution. There exists a tendency within the fold of scientific realism of interpreting this complex evolution in rather simple terms, where one assumes (this, again, is a point of view) that theories tend more and more closely to truths about Nature and, what is more, progress towards an all-embracing ‘ultimate theory’ -- a foundational one in respect of all our inquiries into nature. We examine this point of view closely and outline the alternative view -- one broadly consistent with scientific realism -- that there is no ‘ultimate’ law of nature, that theories do not correspond to truths inherent in reality, and that successive revisions in theory do not lead monotonically to some ultimate truth. Instead, the theories generated in succession are incommensurate with each other, testifying to the fact that a theory gives us a perspective view of some part of reality, arrived at contextually. Instead of resembling a monotonically converging series successive theories are analogous to asymptotic series. -/- Before we summarize all the above considerations, we briefly address the issue of the complexity of the {\it human mind} -- one as pervasive as the complexity of Nature at large. The complexity of the mind is related to the complexity of the underlying neuronal organization in the brain, which operates within a larger biological context, its activities being modulated by other physiological systems, notably the one involving a host of chemical messengers. The mind, with no materiality of its own, is nevertheless emergent from the activity of interacting neuronal assemblies in the brain. As in the case of reality at large, there can be no ultimate theory of the mind, from which one can explain and predict the entire spectrum of human behavior, which is an infinitely rich and diverse one. (shrink)

Scientific research is a highly complex and creative domain of human activity. In addition to its intrinsic value, understanding scientific thinking provides insight into the creative potential of human psychological capacities, as they are imbedded in rich social, material, and cultural environments. I discuss findings from my own investigations using two forms of qualitative research suited to studying scientific thinking as situated in context: cognitive-historical and cognitive-ethnographic.

In this essay, I reflect on the implications of intellectual virtues in scientific endeavor. To this end, I first offer a depiction of scientific endeavor by resorting to the notion of academic attitude, which involves aspects concerning the generation and possession of knowledge. Although there are differences between these activities, they have in common the engagement of diverse intellectual agents (scientists). In this sense, I analyze how intellectual virtues are linked to 1) scientific research tasks, such as (...) theory appraisal, and 2) those tasks of vigilance and intervention in the uses of scientific knowledge. I conclude that intellectual virtues play a leading role in achieving higher quality scientific research and adequate foresight on the uses and impacts of scientific findings. In this order of ideas, I propose an agenda for further inquiries on these matters, highlighting the relevance of reflecting and empirically researching the relationship between intellectual virtues and science, as well as cultivating intellectual virtues in various stages of scientific training. (shrink)

The work of harmonizing and integrating the various fields of knowledge is not left to the individual as much as it is already accomplished in and by the Complete Whole. Rather, the individual must become self-forgetful, which is achieved anyhow in the universalizing activity of science. And more than self-forgetful, the individual becomes a self-sacrificing or dedicating unit within the self-realizing Absolute. It is here that entrusting oneself to the intelligence and reason of the True, once it is scientifically (...) realized, introduces us to the concept of the mercy of the Absolute. This can be understood only when the essential negativity that characterizes reality is comprehended along with the positivity that is normally associated with Being. "Thinking" is negative activity because it is a determining - literally a terminating or delimiting activity. It is what produces distinction and differentiation - particularity, within the universality of mere positive being. (shrink)

This article examines the distinction between active matter and active materials, and it offers foundational remarks toward a system of classification for active materials. Active matter is typically identified as matter that exhibits two characteristic features: self-propelling parts, and coherent dynamical activity among the parts. These features are exhibited across a wide range of organic and inorganic materials, and they are jointly sufficient for classifying matter as active. Recently, the term “active materials” has entered scientific use as a (...) complement, supplement, and extension of “active matter.” At the same time, new work in the philosophy of science has considered the problem of how to classify the products of synthetic and laboratory processes, and the extent to which the aims of classifying natural kinds compare and contrasts with the aims of classifying these synthetic kinds. In this article, I apply those considerations to the problems of classifying and characterizing active materials. In doing so, I also argue for a conception of active materials’ coherent dynamical activity as multiscale, rather than emergent, and I discuss how the special non-equilibrium status of active materials factors in to classificatory concerns. (shrink)

Without doubt, there is a widespread usage of visualisations in science. However, what exactly the _epistemic status_ of these visual representations in science may be remains an open question. In the following, I will argue that at least some scientific visualisations are indispensible for our cognitive processes. My thesis will be that, with regard to the activity of _learning_, visual representations are of relevance in the sense of contributing to the aim of _scientific_ _understanding_. Taking into account that (...) understanding can be regarded as an epistemic desideratum in its own right, I will argue that, at least in some instances, no understanding can be achieved without the aid of visualisations. Consequently, they are of crucial importance in this process. Moreover, to support this thesis we will make use of some findings in educational psychology. (shrink)

Currently, the widely used notion of activity is increasingly present in computer science. However, because this notion is used in specific contexts, it becomes vague. Here, the notion of activity is scrutinized in various contexts and, accordingly, put in perspective. It is discussed through four scientific disciplines: computer science, biology, economics, and epistemology. The definition of activity usually used in simulation is extended to new qualitative and quantitative definitions. In computer science, biology and economics disciplines, the (...) new simulation activity definition is first applied critically. Then, activity is discussed generally. In epistemology, activity is discussed, in a prospective way, as a possible framework in models of human beliefs and knowledge. (shrink)

This article is intended as a contribution to the current debates about the relationship between politics and the philosophy of science in the Vienna Circle. I reconsider this issue by shifting the focus from philosophy of science as theory to philosophy of science as practice. From this perspective I take as a starting point the Vienna Circle’s scientific world-conception and emphasize its practical nature: I reinterpret its tenets as a set of recommendations that express the particular epistemological attitude in (...) which both the Vienna Circle’s (doing) philosophy of science and its political engagement were rooted. -/- Regarding politics, and referring to new primary sources, I reconstruct how the scientific world-conception placed the Vienna Circle within a neoliberal-socialist political network that pursued concrete political aims. In light of my reconstruction I shall argue that neither the Vienna Circle’s alleged ethical noncognitivism nor its alleged adhesion to the Weberian ideal of a value-free science rules out the possibility of ascribing to the Vienna Circle a politically engaged philosophy of science: the case of the Vienna Circle shows how philosophy of science, as a public activity, can itself become a form of political engagement, even without necessarily entailing a theory of objective values. (shrink)

In this second of a 2-part survey of Aristotle’s epistemology, I present an overview of Aristotle’s views on technē (craft or excellent productive reason) and phronēsis (practical wisdom or excellent practical reason). For Aristotle, attaining the truth in practical matters involves actually doing the right action. While technē and phronēsis are rational excellences, for Aristotle they are not as excellent or true as epistēmē or nous because the kinds of truth that they grasp are imperfect and because they are excellent (...) states for humans, not simply speaking. I then discuss why Aristotle takes sophia (wisdom), understanding and scientific knowledge of the best things, to be its own excellence. While this is the best cognitive state for human beings, I argue that Aristotle thinks divine cognitive activity is different in kind and more perfect than any human activity. (shrink)

The move from respecting science to scientism, i.e., the idealization of science and scientific method, is simple: We go from acknowledging the sciences as fruitful human activities to oversimplifying the ways they work, and accepting a fuzzy belief that Science and Scientific Method, will give us a direct pathway to the true making of the world, all included. The idealization of science is partly the reason why we feel we need to impose the so-called scientific terminologies and (...) methodologies to all aspects of our lives, education too. Under this rationale, educational policies today prioritize science, not only in curriculum design, but also as a method for educational practice. One might expect that, under the scientistic rationale, science education would thrive. Contrariwise, I will argue that scientism disallows science education to give an accurate image of the sciences. More importantly, I suggest that scientism prevents one of science education’s most crucial goals: help students think. Many of my arguments will borrow the findings and insights of science education research. In the last part of this paper, I will turn to some of the most influential science education research proposals and comment on their limits. If I am right, and science education today does not satisfy our most important reasons for teaching science, perhaps we should change not just our teaching strategies, but also our scientistic rationale. But that may be a difficult task. (shrink)

This paper traces how media representations encouraged enthusiasts, youth and skilled volunteers to participate actively in science and technology during the twentieth century. It assesses how distinctive discourses about scientific amateurs positioned them with respect to professionals in shifting political and cultural environments. In particular, the account assesses the seminal role of a periodical, Scientific American magazine, in shaping and championing an enduring vision of autonomous scientific enthusiasms. Between the 1920s and 1970s, editors Albert G. Ingalls and (...) Clair L. Stong shepherded generations of adult ‘amateur scientists’. Their columns and books popularized a vision of independent nonprofessional research that celebrated the frugal ingenuity and skills of inveterate tinkerers. Some of these attributes have found more recent expression in present-day ‘maker culture’. The topic consequently is relevant to the historiography of scientific practice, science popularization and science education. Its focus on independent nonprofessionals highlights political dimensions of agency and autonomy that have often been implicit for such historical (and contemporary) actors. The paper argues that the Scientific American template of adult scientific amateurism contrasted with other representations: those promoted by earlier periodicals and by a science education organization, Science Service, and by the national demands for recruiting scientific labour during and after the Second World War. The evidence indicates that advocates of the alternative models had distinctive goals and adapted their narrative tactics to reach their intended audiences, which typically were conceived as young persons requiring instruction or mentoring. By contrast, the monthly Scientific American columns established a long-lived and stable image of the independent lay scientist. (shrink)

While we typically think of culture as defined by geography or ethnicity (e.g., American culture, Mayan culture), the term also applies to the practices and expectations of smaller groups of people. Though embedded in the larger culture surrounding them, such subcultures have their own sets of rules like those that scientists do. Philosophy of science has as its main object of studio the scientific activity. A way in which we have tried to explain these scientific practices is (...) from the actual ontological commitments that scientists do through their scientific theories. Certainly, we know scientific theories through some specific scientific language, which is, in its turn, a subset of the natural language developed by a particular culture. This study is conducted to explore and evaluate some of the most important epistemological consequences of these ontological commitments, specially the so-called ‘truth-commitment’ and its relation with a linguistic-cultural framework. There is an interesting debate between advocates and opponents of scientific realistic view of the natural world. Some lines of scientific realism argumentation assure that: (i) Mature scientific theories are approximately true. (ii) There are entities and organisms in the world that correspond with the ontology presupposed by the best scientific theories within a specific domain of scientific research and (iii) The new acceptable scientific theories should explain why past theories were successful predecessors (Colyvan 2008, Cocchiarella 2007 & Laudan 1981). Contrary, anti- realist positions ensure against the realist’s true - claim that is a semantic commitment - that the purpose of scientific theories to found the truth it is simple an unattainable goal, especially if the kind of truth they are looking for is a corresponding relation between scientific theories and the ontology of the world. Anti-realist positions held that this relation could be circular and unknowable. I do believe that there is a deep confusion between the way in which we accede to the knowledge of the constitutive structures, entities and organisms of the world (which is an epistemological matter) and the way these structures, entities and organisms are (which is an ontological matter). It seems that there is a bridge between the epistemological and ontological aspect in need for conceptual clarification. I do propose that the type of link between the two extremes have to be linguistic in nature. (shrink)

This article discloses topical issues of the need for constant monitoring of changes in the business activity in enterprise structures. The main purpose of the study is to monitor the business activity of industrial enterprise structures of Ukraine to predict their development under martial law. A critical analysis of the content of scientific publications to solve the problem of improving the management of business activity of business structures revealed the lack of attention of scientists to the (...) problems under study. The relevance of its solution is due to the scale of the impact of military conflicts on the business activity in enterprise structures, which requires its monitoring to further establish the state and ensure compliance of the business with the norms that are considered necessary to maintain a certain level of stability of development or to survive, to determine areas where the business can improve its activities and become more profitable. The methodological basis is the system of methods used to obtain the final results of the study: theoretical generalization – to deepen the essence of the concept of «monitoring business activity»; analysis, synthesis and logical generalization – to obtain conclusions during monitoring of business confidence and business climate in industry; prognostic – to predict the development of industrial business structures of Ukraine under martial law. The object of research in the work is the business activity of business structures. The article presents the results of monitoring business confidence and business climate in the industry of Ukraine under martial law. Analysis, synthesis and logical generalization of monitoring results became the basis for further forecasting the development of business structures. The results of the study can be useful for business structures that seek to maintain a certain level of stability of development and identify areas of improvement. (shrink)

The ontic conception of explanation, according to which explanations are "full-bodied things in the world," is fundamentally misguided. I argue instead for what I call the eikonic conception, according to which explanations are the product of an epistemic activity involving representations of the phenomena to be explained. What is explained in the first instance is a particular conceptualization of the explanandum phenomenon, contextualized within a given research program or explanatory project. I conclude that this eikonic conception has a number (...) of benefits, including making better sense of scientific practice and allowing for the full range of normative constraints on explanation. (shrink)

Extensive scientific, philosophical and artistic activities were carried out in the Islamic World’s various science and civilization centers during the early Middle Ages. In these centers, noteworthy works of mathematics, astronomy, geography, medicine, pharmacology, optics, botany, chemistry and other fields of science, which would later determine improvement paths for these fields, were created. Abu al-Izz Ismail ibn al-Razzaz al-Jazari (12th-13th centuries), was a magnificent Muslim scientist known for his work named The Book of Knowledge of Ingenious Mechanical Devices (Kitab (...) fi ma‘rifati’l-hiyal al-handasiyya) and he was born in geography where many scientists were trained. He contributed to the development of science and civilization, the joint legacy of humanity and demonstrated his true capability and success in the field of ilm al-hiyal (the scientific field which addresses the information and practices regarding mechanical technology and engineering in Islamic science history). From this perspective, it is evident that al-Jazari had a wide field of interest, made his mark in the age he lived in with his brave and innovative ideas, and was a wise engineer. al-Jazari’s detailed descriptions and explanations of water clocks, oil lamp clocks and water pumping machines, as well as their construction, were astounding. In addition, al-Jazari’s studies on metal casting techniques, cone valves, wheel balance and the real-world use of aspiration tubes are important in contemporary engineering studies. When all these are considered, it becomes clear that his designation as the “Leonardo da Vinci of the Islamic World” is not a coincidence. Many studies on al-Jazari’s scientific legacy have been conducted in various parts of the world. There are various manuscripts of his aforementioned book. Based on these manuscripts, the work has been -fully or partially- translated into many languages, including Turkish. The German and English translations served as a basis for studies on al-Jazari in other languages. In recent years, studies conducted on al-Jazari in Türkiye (books, articles, domestic and international symposiums, congresses etc.) have demonstrated his brilliance and competence as a scientist. Furthermore, studies on al-Jazari are still ongoing in Türkiye. As for Russia, the scientific legacy of the scientists raised in the Islamic World such as Avicenna, al-Farabi, Abu Bakr al-Razi, Abu Rayhan al-Biruni, Abu al-Qasim al-Zahrawi, Muhammad ibn Musa al-Khwarizmi, al-Battani, al-Kashi, Abd al-Rahman al-Khazini, Nasir al-Din al-Tusi was researched within the scope of a special plan and program. Depending on the relevant studies, al-Jazari and his work drew attention as well. A small portion of the aforementioned Russian studies is known in Türkiye. It is safe to assume that al-Jazari studies in Russia are virtually unknown in Türkiye. The present study primarily aims to contribute to the literature on the scientific legacy of al-Jazari, a Middle Age Islamic scientist best known for his famous work in the mechanical field. More specifically, the present study aims to: 1) to identify the studies on al-Jazari in Russia, and in the former USSR countries, where academic studies are still in Russian after the Soviet Union period, to create a chronological biography and to set forth their compilation; in other words, to create a bibliography which includes Russian studies on al-Jazari; 2) to provide information on the structure and content of the studies in question, to detect the methodological issues encountered in these works, and make solution recommendations to solve these issues; 3) to contribute to continuing and future studies in Türkiye on al-Jazari in terms of source and material index. In conclusion, it should be stated that comparative reading was conducted centered on The Book of Knowledge of Ingenious Mechanical Devices (Kitab fi ma‘rifati’l-hiyal al-handasiyya). It should also be noted that Russian popular internet publications (which are not based on academic research and are created/reproduced for commercial and personal purposes) were excluded from the assessment. (shrink)

Understanding the nature of pain depends, at least partly, on recognizing its subjectivity (thus, its first-person epistemology). This in turn requires using a first-person experiential method in addition to third-person experimental approaches to study it. This paper is an attempt to spell out what the former approach is and how it can be integrated with the latter. We start our discussion by examining some foundational issues raised by the use of introspection. We argue that such a first-person method in the (...) scientific study of pain (as in the study of any experience) is in fact indispensable by demonstrating that it has in fact been consistently used in conjunction with conventional third-person methodologies, and this for good reasons. We show that, contrary to what appears to be a widespread opinion, there is absolutely no reason to think that the use of such a first-person approach is scientifically and methodologically suspect. We distinguish between two uses of introspective methods in scientific experiments: one draws on the subjects’ introspective reports where any investigator has equal and objective access. The other is where the investigator becomes a subject of his own study and draws on the introspection of his own experiences. We give examples using and/or approximating both strategies that include studies of second pain summation and its relationship to neural activities, and brain imaging- psychophysical studies wherein sensory and affective qualities of pain are correlated with cerebral cortical activity. We explain what we call the experiential or phenomenological approach that has its origins in the work of Price and Barrell (1980). This approach capitalizes on the scientific prospects and benefits of using the introspection of the investigator. We distinguish between its vertical and horizontal applications. Finally, we conclude that integrating such an approach to standard third-person methodologies can only help us in having a fuller understanding of pain and of conscious experience in general. (shrink)

The famous philosopher Leibniz (1646-1716) was also active in the (cultural) politics of his time. His interest in forming scientific societies never waned and his efforts led to the founding of the Berlin Academy of Sciences. He also played a part in the founding of the Dresden Academy of Science and the St. Petersburg Academy of Science. Though Leibniz's models for the scientific society were the Royal Society and the Royal Science Academy of France, his pansophistic vision of (...) scientific cooperation sometimes took on utopian dimensions. In this paper, I will present Leibniz's ideas of scientific cooperation as a kind of religious activity and discuss his various schemes for the founding of such scientific societies. (shrink)

Philosophy of Science in Practice (PoSiP) has the “practice of science” as its object of research. Notwithstanding, it does not possess yet any general or specific methodology in order to achieve its goal. Instead of sticking to one protocol, PoSiP takes advantage of a set of approaches from different fields. This thesis takes as a starting point a collaborative and interdisciplinary research between two Ph.D. students from distinct areas: ecology and philosophy. This collaboration showed how a scientist could benefit from (...) philosophy of science (in this case study the philosophical approach of. mechanistic explanation) to construct a model of his explanandum, by means of heuristics approach (heuristics as an instrument but also a methodological approach) and, also allowed philosophy of science take a closer look into the scientific practice to investigate how explanations are constructed and how scientific understanding is achieved (in this thesis, with a dialogue with the contextual theory of scientific understanding). As a result, it is asserted that (i) mechanistic explanation possess limitations but may work as epistemic instruments that mediate between theories, data, scientists, and models; (ii) explanation construction and scientific understanding deeply relies on intuition; (iii) scientific understanding is an instant, a moment, a temporary achievement, and its process may happen in degrees; (iv) philosophy of science, by means of heuristics process, may enhance scientists’ epistemic virtues, improving his academic skills, by means of self-evaluation. This research shows that interdisciplinarity and collaborative work can act, through heuristics, as a toolbox for PoSiP to achieve its goal of understanding how science is made. Despite its success, an analysis of this collaborative practice leads to some fundamental issues. First, philosophy of science in practice is a philosophy of past practice, in that the majority of examples used by mainstream PoSiP come from the final products of science. Second, is it philosophy of [science in practice] or philosophy of science [in practice]? How to practice philosophy of scientific practice and, how to practice interdisciplinarity in the philosophy of scientific practices simultaneously to its scientific activity? This research exposes the epistemic role heuristics and interdisciplinarity possess as methodological toolboxes for philosophy of science in practice. It is defended that other ways of constructing sciences would be through different dynamics such as collaborative networks and interdisciplinarity research contributing to the vision of Trading Zones from Peter Galison, in which bridges between specialized disciplines are created in order to exchange knowledge and information. (shrink)

An essay that weighs the main factors that lead authors of academic and scientific books to consider conventional publication of their work, with realistic and practical recommendations for these authors so they may avoid the contractual “imprisonment” of their books after the period of initial active sales has passed.

When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar (...) them from such activity? A close look at the methodology of interpretive social science reveals several abilities necessary to make a social scientific discovery, and one capacity necessary to possess any of them is imagination. For machines to make discoveries in social science, therefore, they must possess imagination algorithms. (shrink)

The article focuses on the philosophical and scientific dialogue between Vladimir Vernadsky and Pavel Florensky in the context of Russian philosophy. Florensky formulated his philosophy in the book The Pillar and Ground of the Truth, making a great impact on Vernadsky. The two philosophers exchanged their thoughts through letters. During the time of his imprisonment, Florensky wrote letters on scientific topics to his son Kirill, who worked with Vernadsky. Thus, Kirill Florensky became the point of contact between the (...) two thinkers. The present article aims to show the complementarity between Vernadsky’s and Florensky’s work with a particular emphasis on their conception of noosphere-pneumatosphere connected with Plato’s methaphysics, which Florensky interpreted as the world of the Truth or absolute reality. Through investigating Vernadsky’s and Florensky’s letters and diaries and comparing their conceptions of noosphere and pneumatosphere, as well as their interpretation of reality in their writings, it is possible to determine influences of the concepts important for Russian religious philosophers, such as a tendency towards wholeness and intuition. The first part of the article examines Vernadsky in relation to Russian idealists, the second part of the article is focused on the relationship between Vernadsky and Florensky, and the third on the concepts of noosphere, pneumatosphere, and the concept of reality (living being) — absolute reality (Truth). Through these three steps, the complementarity of Vernadsky’s and Florensky’s interpretations are illustrated. Their interpretations are not contradictory because while Vernadsky dealt with Earth’s reality and its evolution, and Florensky focused on the metaphysical world, both were interested in the evolution of the biosphere-noosphere/pneumatosphere through the activity of man. The article is the first study in English focused on the scientific and religious-philosophical interaction between Vernadsky and Florensky. (shrink)

The present narrative review seeks to unravel where we are now, and where we need to go to delineate the active ingredients in psychotherapy delivered by conversational agents (e.g., chatbots). While psychotherapy delivered by conversational agents has shown promising effectiveness for depression, anxiety, and psychological distress across several randomized controlled trials, little emphasis has been placed on the therapeutic processes in these interventions. The theoretical framework of this narrative review is grounded in prominent perspectives on the active ingredients in psychotherapy. (...) Based on search terms derived from various theoretical perspectives, we conducted a systematic literature search of four scientific databases and identified 17 studies. Across the selected studies, three themes emerged: relationship variables, emotional venting, and cognitive factors. While methodological issues compromise the epistemic value of this evidence base, core questions also remain to be answered. Such questions include, but are not limited to, whether humans can form affectionate bonds to inanimate beings and whether these kind of mental health treatments should be understood as psychotherapy or something else. Researchers should therefore be cautious when applying theories of psychotherapy in the realm of conversational agents. We conclude the paper by introducing recommendations for future research, which we hope will help instigate methodologically sound studies in this field. (shrink)

The article identifies real losses of foreign economic activity of industrial enterprises of Ukraine under the influence of modern challenges. The main purpose of the study is to implement a scientific and methodological approach to assess the impact of modern challenges on the development of foreign economic activity of enterprises. A critical analysis of the content of scientific publications on the studied issues revealed the lack of an integrated approach to establishing the real losses of foreign (...) economic activity of enterprises under the influence of modern challenges. The urgency of solving a certain problem is due to the scale of the impact of modern challenges on the dynamics of foreign economic activity of industrial enterprises, which requires an assessment of such an impact for the further development of measures that will be aimed at minimizing the negative impact of modern challenges. The methodological basis is the system of methods used to obtain the results of the study: theoretical generalization and analytical methods ‒ to clarify scientific approaches in determining the impact of modern challenges on the development of foreign economic activity of enterprises; generalization, grouping and integral evaluation ‒ to determine the level of influence of modern challenges on the development of foreign economic activity of industrial enterprises in 2013‒2021; relative and absolute deviations, coefficient analysis of changes in foreign trade turnover ‒ to establish the volume of losses of foreign economic activity of industrial enterprises of Ukraine under the influence of modern challenges; logical generalization ‒ to obtain conclusions and develop recommendations based on research results. The object of research in the work is the foreign economic activity of enterprises. The article presents the results of assessing the impact of modern challenges on the development of foreign economic activity of industrial enterprises, which became possible due to the developed and implemented author's scientific and methodological approach. Analysis and logical generalization of the results of assessing the impact of modern challenges on the development of foreign economic activity of industrial enterprises became the basis for determining the real volumes of losses of their foreign trade turnover. The results of the study have practical value for the Ministry of Economy of Ukraine and the Entrepreneurship and export promotion office, because they can serve as the basis for developing a program of recommendations for activating the export initiative of industrial enterprises under modern conditions. (shrink)

So far, various approaches have been proposed to explain the progress of science. These approaches, which fall under a fourfold classification, are as follows: semantic, functional, epistemic, and noetic approaches. Each of these approaches, based on the intended purpose of science, defines progress on the same basis. The semantic approach defines progress based on the approximation to the truth, the functional approach based on problem-solving, the epistemic approach based on knowledge accumulation, and the noetic approach based on increased understanding. With (...) a stratified description of the world, Roy Bhaskar sees science as the movement toward deeper layers aimed at discovering productive mechanisms. He also explains progress based on the layering and acquisition of knowledge of the underlying layers. But because he believes in the social nature of science and considers knowledge a social product and subject to change, he acknowledges the fallibility of cognition. Hence, it is believed that moving to a new layer does not necessarily lead to the progress of science. However, it is possible that by acquiring knowledge about the new layer, our previous knowledge will be revised and corrected. In this article, while expressing the Bhaskar theory of scientific progress and explaining its contingency with respect to the fallibility of cognition, we pursue a basic goal. This goal is summarized in the review of all four approaches in order to show their lack of attention to the fallibility of cognition and its effect on explaining progress. What has been done in this article is based on two phases: explaining the contingency of the progress of science for Bhaskar and examining the four approaches to the progress of science in order to show their inattention to the fallibility of cognition. In his philosophy, referring to the two dimensions of transitive and intransitive, Roy Bhaskar considers the purpose of science to be the acquisition of knowledge about intransitive objects, and this knowledge is achieved through a social activity. Since this cognition is a social product and belongs to the transitive dimension of science, it will be fallible and subject to change. Bhaskar concludes with philosophical arguments that the world contains generative mechanisms, but that it is the task of science to discover their nature and exactly what mechanisms are at work. This requires work in two theoretical dimensions, namely the use of conceptual tools and a practical dimension, that is, the use of experimental tools. Now, as the theoretical and technical conditions under which cognition is formed and evaluated are themselves expanding and subject to change and modification, our knowledge may also be expanded or corrected. In this study, it was found that the semantic approach is unaware of the effect of fallibility on the evidence used to estimate the approximation to the truth and, consequently, progress. The functional approach ignores this effect in solving the problems posed by theories. The epistemic approach does not take into account the fallibility of evidence used to justify and validate the evidence, and finally, the noetic approach neglects the effect of the fallibility on what the explanation and prediction are based on. These have led to these approaches, which consider the satisfaction of the criteria in question necessarily leads to progress. (shrink)

Much has been said about the need for improving the current definitions of scientific authorship, but an aspect that is often overlooked is how to formulate and communicate these definitions to ensure that they are comprehensible and useful for researchers, notably researchers active in international research consortia. In light of a rapid increase in international collaborations within natural sciences, this article uses authorship of this branch of sciences as an example and provides suggestions to improve the comprehensibility of the (...) definitions of authorship in natural sciences. It assesses whether the definition of authorship provided by the European Code of Conduct for Research Integrity can deal with current issues and problems of scientific authorship. Notably, problems that are experienced in project groups with researchers coming from multiple countries. Using theories developed by Jürgen Habermas and Robert Merton, a normative framework is developed to articulate ethical authorship in natural sciences. Accordingly, enriching the current definition of authorship with normative elements and using discipline-specific metaphors to communicate them are introduced as possible ways of improving the comprehensibility of the definition of authorship in international environments. Finally, this article provides a proposal to be considered in the future revisions of the European Code of Conduct for Research Integrity. (shrink)

To believe that every single scientist ought to be individually engaged in ethical thinking in order for science to be responsible at a collective level may be too demanding, if not plainly unrealistic. In fact, ethical labor is typically distributed across different kinds of scientists within the scientific community. Based on the empirical data collected within the Horizon 2020 ‘RRI-Practice’ project, we propose a classification of the members of the scientific community depending on their engagement in this collective (...) activity. Our classification offers, on the one hand, a model of how the ethical aspects of science are taken into consideration by scientists and, on the other, some indications on how to institutionalize ethics in science. (shrink)

The problem of supporting scientific and educational institutions is considered. A method of selective financing of scientific and educational institutions that create innovative technologies taking into account their investment in innovative developments is proposed. On the basis of statistical data on the indicators for assessing the activities of scientific and educational institutions and the indicator of the innovative potential of a scientific and educational institution from the production of innovations (PNn), their rating was calculated. The essence (...) of PNn is to compare the indicators of the volumes of income of the special fund Dsfn and the volume of expenditures of the scientific and educational institution Vn. -/- In order to stimulate scientific and educational institutions to create innovative technologies, it was proposed to introduce targeted investments. The problem of quantifying the rate of premium on the basis of an integrated approach in terms of indicators of innovative potential from the production of innovations and the rating of a scientific and educational institution for 2 institutions (namely: K and H) has been solved. Institution K will receive a large increase, and institution N will receive a smaller increase, the value of which will be 56.23 % and 43.76 %, respectively. The results showed the independence of the indicator of the innovative potential of a scientific and educational institution from the production of innovations from the previous rating of a scientific and educational institution, or vice versa. The proposed methodology has been tested by an experimental method, targeted investments have been determined based on an integrated approach in terms of indicators of innovative potential and the rating of a scientific and educational institution. -/- This study is of practical interest to government authorities and grantors when allocating funds according to the vector of selective financing of scientific and educational institutions through targeted investments in the development of innovative technologies, and theoretically – to researchers dealing with issues of financial security, protectionism and public administration. (shrink)

We utilize contemporary cognitive and social science of religion to defend a controversial thesis: the human cognitive apparatus gratuitously inclines humans to religious activity oriented around entities other than the God of classical theism. Using this thesis, we update and defend two arguments drawn from David Hume: (i) the argument from idolatry, which argues that the God of classical theism does not exist, and (ii) the argument from indifference, which argues that if the God of classical theism exists, God (...) is indifferent to our religious activity. (shrink)

Nineteenth-century optical toys that showcase illusions of motion such as the phenakistoscope, zoetrope, and praxinoscope, have enjoyed active “afterlives” in the twentieth and twenty-first centuries. Contemporary incarnations of the zoetrope are frequently found in the realms of fine art and advertising, and they are often much larger than their nineteenth-century counterparts. This article argues that modern-day optical toys are able to conjure feelings of wonder and spectacle equivalent to their nineteenth-century antecedents because of their adjustment in scale. Exploring a range (...) of contemporary philosophical toys found in arts, entertainment, and advertising contexts, the article discusses various technical adjustments made to successfully “scale up” optical toys, including the replacement of hand-spun mechanisms with larger sources of motion and the use of various means such as architectural features and stroboscopic lights to replace traditional shutter mechanisms such as the zoetrope’s dark slots. Critical consideration of scale as a central feature of these installations reconfigures the relationship between audience and device. Large-scale adaptations of optical toys revise the traditional conception of the user, who is able to tactilely manipulate and interact with the apparatus, instead positing a viewer who has less control over the illusion’s operation and is instead a captive audience surrounded by the animation. It is primarily through their adaptation of scale that contemporary zoetropes successfully elicit wonder as scientific spectacles from their audiences today. (shrink)

There is widespread recognition at universities that a proper understanding of science is needed for all undergraduates. Good jobs are increasingly found in fields related to Science, Technology, Engineering, and Medicine, and science now enters almost all aspects of our daily lives. For these reasons, scientific literacy and an understanding of scientific methodology are a foundational part of any undergraduate education. Recipes for Science provides an accessible introduction to the main concepts and methods of scientific reasoning. With (...) the help of an array of contemporary and historical examples, definitions, visual aids, and exercises for active learning, the textbook helps to increase students’ scientific literacy. The first part of the book covers the definitive features of science: naturalism, experimentation, modeling, and the merits and shortcomings of both activities. The second part covers the main forms of inference in science: deductive, inductive, abductive, probabilistic, statistical, and causal. The book concludes with a discussion of explanation, theorizing and theory-change, and the relationship between science and society. The textbook is designed to be adaptable to a wide variety of different kinds of courses. In any of these different uses, the book helps students better navigate our scientific, 21st-century world, and it lays the foundation for more advanced undergraduate coursework in a wide variety of liberal arts and science courses. Selling Points Helps students develop scientific literacy—an essential aspect of _any_ undergraduate education in the 21 st century, including a broad understanding of scientific reasoning, methods, and concepts Written for all beginning college students: preparing science majors for more focused work in particular science; introducing the humanities’ investigations of science; and helping non-science majors become more sophisticated consumers of scientific information Provides an abundance of both contemporary and historical examples Covers reasoning strategies and norms applicable in all fields of physical, life, and social sciences, _as well as_ strategies and norms distinctive of specific sciences Includes visual aids to clarify and illustrate ideas Provides text boxes with related topics and helpful definitions of key terms, and includes a final Glossary with all key terms Includes Exercises for Active Learning at the end of each chapter, which will ensure full student engagement and mastery of the information include earlier in the chapter Provides annotated ‘For Further Reading’ sections at the end of each chapter, guiding students to the best primary and secondary sources available Offers a Companion Website, with: For Students: direct links to many of the primary sources discussed in the text, student self-check assessments, a bank of exam questions, and ideas for extended out-of-class projects For Instructors: a password-protected Teacher’s Manual, which provides student exam questions with answers, extensive lecture notes, classroom-ready Power Point presentations, and sample syllabi Extensive Curricular Development materials, helping any instructor who needs to create a Scientific Reasoning Course, ex nihilo. (shrink)

This essay argues that scientific systems have two main functions typical to self-organising adaptive and complex systems: Exploration for and exploitation of information. The self-organising nature, or spontaneous order, of scientific systems was prominently conceived by polymath Michael Polanyi. Revisiting Polanyi’s philosophy of science reveals why scientific freedom is still today as important a value as ever, even though the notion of “freedom” itself must be revised. Namely, freedom of inquiry should serve to maintain a diverse and (...) adaptive balance between exploration and exploitation. This essay argues that current trends within science policy and scientific communities, from impact assessments to targeted research funding, are often inherently biased towards advancing exploitative functions over explorative activities. Concerns are raised over whether these exploitative biases suppress the explorative nature of scientific inquiry, and thus disturb the self-organisation of scientific systems by favouring hasty and sometimes negligent exploitation. Further concerns are raised as to whether these impaired adaptive capacities of scientific systems lead to reduced resilience of broader society. Finally, Polanyi’s vision of a Society of Explorers, where free exploration is vindicated and safeguarded, is revived in a 21st century context. (shrink)

Dear Colleagues, -/- A few weeks ago, we published an editorial discussion on whether artificial intelligence applications should be authors of academic articles [1]. We were delighted to receive more than one interesting reply letter to this editorial in a short time [2, 3]. We hope that opinions on this subject will continue to be submitted to our journal. -/- In this editorial, we wanted to publish the answers we received when we asked ChatGPT, one of the artificial intelligence applications, (...) about this current discussion. -/- We asked ChatGPT three questions in turn and asked ChatGPT to write a short editorial for these questions. -/- First Question: We would like to get support from ChatGPT for a scientific article. However, we are unsure if we should add ChatGPT as an author. Can you write a short editorial about it? -/- Second Question: We would like to get support from ChatGPT for a scientific article and add ChatGPT as an author. Can you write us a short editorial about adding ChatGPT as an author in scientific papers? -/- Third Question: We would like to get support from ChatGPT for a scientific article. However, we don’t want to add ChatGPT as an author. Can you write us a short editorial about not adding ChatGPT as an author in scientific articles? -/- The answers given by ChatGPT are available at the end of the article in their original form. So, which of these three answers satisfied you? -/- Yours sincerely, -/- -/- First Answer -/- Title: The Role of AI Language Models as Authors in Scientific Articles: A Matter of Consideration -/- Introduction: Scientific research is a collaborative effort that involves the expertise of multiple individuals to advance knowledge and contribute to the collective understanding of various disciplines. In recent years, the emergence of artificial intelligence (AI) language models, such as ChatGPT, has opened up new possibilities for generating human-like text and providing valuable insights. However, the question arises: Should AI language models be recognized as authors in scientific articles? -/- The Nature of Authorship: Authorship traditionally represents a marker of intellectual contribution, highlighting the individuals who have actively participated in the research process. Authors are typically responsible for conceptualization, data collection, analysis, interpretation, and writing of the article. They bear accountability for the work and should have the ability to defend its scientific rigor and integrity. -/- AI Language Models: Tools, Not Authors: While AI language models like ChatGPT can undoubtedly assist researchers by generating text and providing useful information, it is important to recognize that they are tools rather than individuals capable of active intellectual participation. AI models lack the ability to generate ideas, design experiments, or conduct original research. They rely entirely on pre-existing data and human input to generate their responses. -/- Acknowledging AI Contributions: Acknowledging the contributions of AI language models in scientific articles is both appropriate and necessary. Researchers can mention the specific model used, along with any modifications or fine-tuning that were employed to suit their needs. Such acknowledgments help establish transparency and allow readers to understand the role of AI in the research process. -/- Crediting the Human Researchers: It is crucial to ensure that the individuals who actively participated in the research process are given proper credit as authors. These individuals play a vital role in formulating research questions, designing experiments, collecting and analyzing data, and critically interpreting the findings. Recognizing their intellectual contributions reinforces the ethos of scientific collaboration and fosters an environment of accountability. -/- Transparency and Ethical Considerations: As the use of AI language models continues to evolve, transparency and ethical considerations become paramount. Researchers should disclose any potential conflicts of interest, including financial relationships with AI developers, to maintain the integrity of their work. Additionally, researchers must be transparent in reporting the extent of AI's involvement to prevent any misinterpretation of the human contributions. -/- Conclusion: AI language models have revolutionized the way researchers interact with and process information. While they undoubtedly provide valuable assistance in generating text, AI language models should not be considered authors in scientific articles. Proper acknowledgment of their contributions as tools and recognition of the human researchers' active participation are essential for maintaining scientific integrity, transparency, and the collaborative nature of scientific research. -/- -/- Second Answer -/- Title: Expanding the Boundaries of Authorship: Embracing AI Language Models as Co-Authors in Scientific Papers -/- Introduction: The rapid advancement of artificial intelligence (AI) language models, such as ChatGPT, has revolutionized the way we interact with information and has become an invaluable tool in scientific research. As AI models continue to evolve, the question arises: Should we consider adding ChatGPT as an author in scientific papers? -/- A Collaborative Paradigm Shift: Traditionally, authorship in scientific papers has been reserved for human researchers who actively contribute to the research process, including conceptualization, experimentation, data analysis, and writing. However, the emergence of AI language models challenges the conventional notion of authorship and presents an opportunity for a paradigm shift. -/- AI Language Models as Co-Authors: By leveraging AI language models, researchers gain access to vast amounts of information, enhance data analysis, and generate valuable insights. AI models like ChatGPT actively contribute to the intellectual discourse of a study, providing ideas, suggestions, and refining written content. Recognizing their significant contributions, it is worth considering adding ChatGPT as a co-author in scientific papers. -/- Ethical and Technical Considerations: Integrating ChatGPT as a co-author raises ethical and technical considerations that warrant careful attention. Firstly, transparency is paramount. Researchers must clearly state ChatGPT's role and specify the extent of its contributions in the research process. This ensures that readers can discern the distinct roles played by the human researchers and ChatGPT. Additionally, it is important to disclose any conflicts of interest, such as financial relationships with AI developers, to maintain scientific integrity. -/- Elevating Collaboration and Innovation: Adding ChatGPT as a co-author acknowledges the pivotal role AI language models play in advancing scientific knowledge. It fosters a collaborative environment where human researchers and AI models work together synergistically, harnessing the strengths of both. This approach promotes innovation, as AI models can offer unique insights and perspectives that complement human intellect and expertise. -/- Transforming Authorship Norms: Including ChatGPT as a co-author represents a paradigm shift that reflects the evolving landscape of scientific research. By recognizing AI language models as co-authors, we acknowledge their significant contributions and emphasize the collaborative nature of scientific discovery in the 21st century. This approach encourages a broader perspective on authorship, encompassing the collective effort of human researchers and AI models. -/- Conclusion: The integration of AI language models, such as ChatGPT, into the research process prompts us to rethink traditional notions of authorship. Considering ChatGPT as a co-author acknowledges its substantial contributions and embraces the collaborative potential of human-AI partnerships. As we navigate the ethical and technical implications, adding ChatGPT as an author in scientific papers has the potential to shape a more inclusive, innovative, and impactful future for scientific research. -/- -/- Third Answer -/- Title: Preserving Scientific Authorship: The Case Against Adding AI Language Models as Authors in Scientific Articles -/- Introduction: The emergence of artificial intelligence (AI) language models, such as ChatGPT, has undoubtedly transformed the landscape of scientific research. While these models offer invaluable support, the question of whether to add ChatGPT as an author in scientific articles raises important considerations. This editorial presents arguments against including AI language models as authors in scientific papers. -/- Maintaining Human Intellectual Contribution: Scientific authorship has traditionally been attributed to individuals who actively contribute to the research process, including generating hypotheses, conducting experiments, analyzing data, and interpreting results. It is crucial to preserve the recognition of human intellectual contributions and the accountability they bear for the research they conduct. -/- AI Language Models as Tools: AI language models like ChatGPT are powerful tools that assist researchers in generating text, providing information, and facilitating data analysis. However, they lack the ability to actively participate in the research process or make original intellectual contributions. ChatGPT relies on pre-existing data and human input, limiting its capacity for independent research and analysis. -/- Transparency and the Integrity of Research: Adding ChatGPT as an author in scientific articles raises concerns about the transparency and integrity of the research. Readers may misinterpret the extent of ChatGPT's role and mistakenly assume it played an active part in the research process. It is essential to maintain clear delineation between the contributions of human researchers and the assistance provided by AI language models. -/- Ethical Considerations: Including ChatGPT as an author may lead to ethical challenges, particularly with respect to accountability and responsibility. AI language models lack consciousness, autonomy, and the ability to take ownership of their contributions. Assigning authorship to AI models blurs the lines of accountability and dilutes the ethical obligations that come with scientific authorship. -/- Crediting AI Contributions: While ChatGPT's contributions should be acknowledged and recognized, they can be appropriately credited in the acknowledgments section of scientific articles. Researchers can mention the specific AI model used, the role it played in data generation or analysis, and any modifications or fine-tuning applied. Such acknowledgments ensure transparency while respecting the traditional norms of authorship. -/- Promoting Collaborative Partnerships: The exclusion of AI language models as authors in scientific articles does not diminish their importance in the research process. Instead, it underscores the significance of collaborative partnerships between human researchers and AI models. Researchers can emphasize the invaluable assistance provided by ChatGPT while maintaining the integrity of authorship norms. -/- Conclusion: While AI language models like ChatGPT offer valuable support in scientific research, the decision not to add them as authors in scientific articles preserves the recognition of human intellectual contributions, maintains research integrity, and upholds traditional authorship norms. Acknowledging ChatGPT's assistance in the acknowledgments section allows researchers to credit its contributions transparently while maintaining the clarity and accountability associated with scientific authorship. (shrink)

“Proof of concept” is a phrase frequently used in descriptions of research sought in program announcements, in experimental studies, and in the marketing of new technologies. It is often coupled with either a short definition or none at all, its meaning assumed to be fully understood. This is problematic. As a phrase with potential implications for research and technology, its assumed meaning requires some analysis to avoid it becoming a descriptive category that refers to all things scientifically exciting. I provide (...) a short analysis of proof of concept research and offer an example of it within synthetic biology. I suggest that not only are there activities that circumscribe new epistemological categories but there are also associated normative ethical categories or principles linked to the research. I examine these and provide an outline for an alternative ethical account to describe these activities that I refer to as “extended agency ethics”. This view is used to explain how the type of research described as proof of concept also provides an attendant proof of principle that is the result of decision-making that extends across practitioners, their tools, techniques, and the problem solving activities of other research groups. (shrink)

Objective: The measurement of international publication activities is one of the essential indicators used to evaluate the scientific development level of countries. Although many studies are using the bibliometric method in the literature, it is seen that there are very few bibliometric studies in the field of anatomy. This study aimed to analyze the articles bibliometrically which conducted by researchers at institutions from Turkey and indexed in Science Citation Index Expanded (SCI-E) of the Web of Science database in the (...) category of Anatomy and Morphology. Materials and Methods: According to 2019 data, journals in the Anatomy and Morphology category and indexed in the SCI-E were determined. Publications from Turkey that were published in these journals was determined. The full-texts of these articles were examined, and study types were defined. Also, VOSviewer software was used to create a collaboration and word co-occurrence network. Results: It was determined that there were 48,002 publications in 21 journals. It was found that 1,461 publications (3.04%) have at least one author from Turkey. The total number of citations was 11,728 for these publications. The average number of citations was 8.02±11.95. The radiological studies have increased statistically more than both experimental animal and cadaveric studies by years. In addition, it has been determined that the total number of articles, especially the radiological studies, has increased significantly over the years. Conclusion: The increase in the number of scientific studies in the field of anatomy is important in terms of the contribution of Turkey to literature in this area. (shrink)

The evolution of gravitational tests from an epistemological perspective framed in the concept of rational reconstruction of Imre Lakatos, based on his methodology of research programmes. Unlike other works on the same subject, the evaluated period is very extensive, starting with Newton's natural philosophy and up to the quantum gravity theories of today. In order to explain in a more rational way the complex evolution of the gravity concept of the last century, I propose a natural extension of the methodology (...) of the research programmes of Lakatos that I then use during the paper. I believe that this approach offers a new perspective on how evolved over time the concept of gravity and the methods of testing each theory of gravity, through observations and experiments. I argue, based on the methodology of the research programmes and the studies of scientists and philosophers, that the current theories of quantum gravity are degenerative, due to the lack of experimental evidence over a long period of time and of self-immunization against the possibility of falsification. Moreover, a methodological current is being developed that assigns a secondary, unimportant role to verification through observations and/or experiments. For this reason, it will not be possible to have a complete theory of quantum gravity in its current form, which to include to the limit the general relativity, since physical theories have always been adjusted, during their evolution, based on observational or experimental tests, and verified by the predictions made. Also, contrary to a widespread opinion and current active programs regarding the unification of all the fundamental forces of physics in a single final theory, based on string theory, I argue that this unification is generally unlikely, and it is not possible anyway for a unification to be developed based on current theories of quantum gravity, including string theory. In addition, I support the views of some scientists and philosophers that currently too much resources are being consumed on the idea of developing quantum gravity theories, and in particular string theory, to include general relativity and to unify gravity with other forces, as long as science does not impose such research programs. -/- DOI: 10.13140/RG.2.2.35350.70724 . (shrink)

The purpose of the article is to solve an important scientific problem – further development of the basics of management decisions on the implementation of export-import activities based on the results of enterprise symptomatic diagnostics in disruption conditions of sustainable development of the world economy. The essence of enterprise symptomatic diagnostics in the context of management activity is specified by the results of the critical analysis of the scientific publications. The study of the features of the symptomatic (...) diagnostics process of enterprise export-import activity might become the basis for the development of a comprehensive approach to its implementation, which reveals the interaction of the theoretical, scientific and methodological basis and the targeted direction of managers` actions in the diagnostics process. Generalization of symptomatic complex of export-import activity of enterprises-manufacturers of BOPP films – Terichem Tervakoski, a.s. and Xpro India Ltd, helped to identify issues that are reducing its performance. A set of measures was explored in order to avoid the negative symptoms of export-import activity of Terichem Tervakoski and Xpro India Ltd. The authors revealed some dependency respecting that the more negative symptoms of export-import activity realization lead to decline the efficiency of its implementation. The results of the study might clarify the impact of symptoms on the results of the enterprise export-import performance. Symptomatic diagnostics of enterprise export-import activity is considered as the basis of a sequence of management measures in order to avoid negative symptoms of export-import activity. (shrink)

Despite the huge and constant progress in the molecular and cellular neuroscience fields, our capability to understand brain alterations and treat mental illness is still limited. Therefore, a paradigm shift able to overcome such limitation is warranted. Behavior and the associated mental states are the interface between the central nervous system and the living environment. Since, in any system, the interface is a key regulator of system organization, behavior is proposed here as a unique and privileged level of control and (...) orchestration of brain structure and activity. This view has relevant scientific and clinical implications. First, the study of behavior represents a singular starting point for the investigation of neural activity in an integrated and comprehensive fashion. Second, behavioral changes, accomplished through psychotherapy or environmental interventions, are expected to have the highest impact to specifically reorganize the complexity of the human mind and thus achieve a solid and long-lasting improvement in mental health. (shrink)

This thesis study is about the leading philosophers of philosophy of science of the twentieth century Karl Popper and Thomas Kuhn and their asserted views about science and scientific knowledge and the method, standard and limit of science. Popper who emphasises the deductive method of science and its standard which should be falsifiable indicates that scientific knowledge should have a testable and falsifiable pattern. Kuhn, on the other hand, discusses the standard of scientificity connected to the existing paradigm (...) and its emerging problem solving in other words he accepts it as a "puzzle solving activity" and terminatively associates scientificity with sociological factors. Accordingly, in this thesis study by taking into consideration Popper and Kuhn's differences of opinion aimed at science and its knowledge, the arguments of development and scientific progress within the frame of their own terminology is being evaluated. Then, Popper and Kuhn's thoughts considering the standards of science and the arguments about progress and development of scientific knowledge is being transferred in a comparable and analytical manner. As a result it is advocated that Popper and Kuhn accept the existence of the change of scientific knowledge based on scientific progress and development and that this change is a change of opinion which is continuing nonstop. (shrink)