Philosophy of Science, General Works

We develop a new metaphor account where metaphors become surrogate variables for different but related phenomena. As we will argue, subrogation is the result of the interplay between the things inspired by the metaphor and the empirical dynamics that result from such inspiration. In particular, we focus on adaptive radiation, a major concept of evolutionary biology. Our study suggests that there is no distinct phenomenon, process, or pattern in nature than can be identified as adaptive radiation. What we have instead (...) is a grouping variable that has surrogated different evolutionary phenomena into one expansive label. We believe this analysis of metaphors helps better understand the value of metaphors for science not only as a provider of epistemic and cognitive virtues but most importantly, as a crucial research tool that can both help and divert scientific experimentation. (shrink)

The recent use of typicality in statistical mechanics for foundational purposes has stirred an important debate involving both philosophers and physicists. While this debate customarily focuses on technical issues, in this paper I try to approach the problem from an epistemological angle. The discussion is driven by two questions: (1) What does typicality add to the concept of measure? (2) What kind of explanation, if any, does typicality yield? By distinguishing the notions of `typicality-as-vast-majority' and `typicality-as-best-exemplar', I argue that the (...) former goes beyond the concept of measure. Furthermore, I also argue that typicality aims at providing us with a form of causal explanation of equilibrium. (shrink)

Epistemological monism and ontological dualism, closely parallel philological Postmodernism and philosophical Modernism. As Social Constructionism seems to be a product of Postmodernism from which roots one of its founders, John Shotter now "backs away", "the edge" brings it closer to Modernism. A model is suggested to describe and explain living chiasmic relations on the edge both in monistic and in dualistic terms.

The article explains how the primordial singularity can be understood as a cause having brought the Universe into empirical existence. It also addresses the nonempirical nature of such a cause.

David Miller argues that there are no good reasons, either sufficient or insufficient. I show that most of his arguments are invalid or unsound. Several of his arguments depend upon the false claim that every deductively valid argument is circular. I accept one of Miller's arguments for the conclusion that there are no good reasons which are less-than-sufficient. I accept one of his arguments to the conclusion that there are no probative sufficient reasons. But I explain how there are epistemic (...) sufficient reasons which are relative to the game of science and how their existence is consistent with Miller's main contentions while avoiding Miller's apparently anarchic account of our knowledge. (shrink)

Edmund Gettier’s three-page article is generally regarded as a classic of epistemology. I argue that Gettier cases depend upon three false assumptions and are irrelevant to the theory of knowledge. I suggest that we follow Karl Popper in abandoning subject-centred epistemologies in favour of theories of objective knowledge.

This article argues that actor-network theory, as an alternative to critical theory, has lost its critical impetus when examining commodification in healthcare. The paper claims that the reason for this, is the way in which actor-network theory’s anti-essentialist ontology seems to black box 'intentionality' and ethics of human agency as contingent interests. The purpose of this paper was to open the normative black box of commodification, and compare how Marxism, Habermas and ANT can deal with commodification and ethics in healthcare. (...) Moreover, a new account of 'intentionality' in critical thinking was elaborated. Using Strawson's analysis of 'reactive attitudes and resentment,' the ethical implications of commodification in health care were examined as an assessment of intentions. Synthesizing critical theory with the relational materialism of actor-network theory, this article advances a new approach that seeks to bridge interdisciplinary boundaries, and guide actor-network theory in a critical and humanist direction. Providing new theoretical insights on commodification and 'intentionality' in health care. (shrink)

Recently we proposed “quantum language" (or,“the linguistic Copenhagen interpretation of quantum mechanics"), which was not only characterized as the metaphysical and linguistic turn of quantum mechanics but also the linguistic turn of Descartes=Kant epistemology. Namely, quantum language is the scientific final goal of dualistic idealism. It has a great power to describe classical systems as well as quantum systems. Thus, we believe that quantum language is the language in which science is written. The purpose of this preprint is to examine (...) and assert our belief (i.e.,“proposition in quantum language" ⇔“scientific proposition). We believe that it's one of main themes of scientific philosophy to make such language. (shrink)

The problem of demarcating between what is scientific and what is pseudoscientific or merely unscientific - in other words, the problem of defining scientificity - remains open. The modern debate was firstly structured around Karl Popper's falsificationist epistemology from the 1930's, before diversifying a few decades later. His central idea is that what makes something scientific is not so much how adequate it is with data, but rather to what extent it might not have been so. Since the second half (...) of the century, and in the wake of criticisms, such as the Duhem-Quine thesis, that were raised against falsificationism(s), most approaches to the problem of scientific demarcation are now multicriteria and holistic. However, the approach presented in this paper does not follow the same guideline. The present work can be seen as an attempt to adapt Popper's (sophisticated) falsificationism to a model-based view of scientific knowledge. Using formalization and focusing on a particular epistemic unit of analysis (namely, empirical models) allows to properly define the popperian corroboration degree and to view scientificity as the maximization of this degree of corroboration over all available models and data. We eventually recover, in a natural way, well-accepted scientificity criteria: empirical adequacy, Lakatos' progressive problemshifts, balance between strength and simplicity, parsimony, and coherence as special cases of this general scientificity principle. From this viewpoint, the language dependency of our empirical knowledge no longer appears as a limitation of falsificationism but as one more reason to take it as a good epistemological framework. (shrink)

Special relativity has changed the fundamental view on space and time since Einstein introduced it in 1905. It substitutes four dimensional spacetime for the absolute space and time of Newtonian mechanics. It is believed that the validities of Lorentz invariants are fully confirmed empirically for the last one hundred years and therefore its status are canonical underlying all physical principles. However, spacetime metric is a geometric approach on nature when we interpret the natural phenomenon. A geometric flaw on this will (...) be exhibited and the alternative is suggested. The reasonable geometric model of space and time is a three dimensional space which is translating along the time direction. This model legitimately represents the true characteristic of nature. (shrink)

The focus in the literature on scientific explanation has shifted in recent years towards modelbased approaches. The idea that there are simple and true laws of nature has met with objections from philosophers such as Nancy Cartwright (1983) and Paul Teller (2001), and this has made a strictly Hempelian D-N style explanation largely irrelevant to the explanatory practices of science (Hempel & Oppenheim, 1948). Much of science does not involve subsuming particular events under laws of nature. It is increasingly recognized (...) that science across the disciplines is to some degree a patchwork of scientific models, with different methods, strategies, and with varying degrees of successful prediction and explanation. And so accounts of scientific explanation have reflected this change of perspective and model-based approaches have flourished in the explanation literature (Batterman, 2002b; Bokulich, 2008; Craver, 2006; Woodward, 2003). (shrink)

A number of general theories of physics provide a model for the fundamental rules that govern our universe, becoming a structural framework to which the new discoveries must conform. The theory of relativity is such a general theory. The theory of relativity is a complex theoretical framework that facilitates the understanding of the universal laws of physics. It is based on the curved space-time continuum fabric abstract concept, and it is well suited for interpreting cosmic events. More so, a general (...) theory based on abstract concepts and imagination facilitates the emergence of countless new extravagant theories. A new simplified theory of the natural world is necessary, a simple theory that provides a verifiable framework on which new discoveries can be integrated. The paper describes a view of the abstract time/space concept, and also a very simple model of our ever-changing universe. Views of physicists, mathematicians, chemists, engineers and of course philosophers have to be all in harmony with such a theory. We leave in a beautiful, uniform, and logical world. We live in a world where everything probable is possible. Contact email: [email protected] . (shrink)

For two reasons, physics occupies a preeminent position among the sciences. On the one hand, due to its recognized position as a fundamental science, and on the other hand, due to the characteristic of its obvious certainty of knowledge. For both reasons it is regarded as the paradigm of scientificity par excellence. With its focus on the issue of epistemic certainty, philosophy of science follows in the footsteps of classical epistemology, and this is also the basis of its 'judicial' pretension (...) vis-à-vis physics. Whereas physics is in a strong competitive relationship to philosophy and epistemology with respect to its position as a fundamental science - even on the subject of cognition, as the pretension of 'reductionism' shows. It is the thematic focus on epistemic certainty itself, however, that becomes the root of a profound epistemological misunderstanding of physics. The reason for this is twofold: first, the idea of epistemic certainty as a criterion of 'demarcation' between physics and metaphysics obscures the view of the much deeper heuristic differences between the two kinds of knowledge. The second, related, reason is that epistemology does not ask the question of the reason for the epistemic certainty of physics; instead, it sets itself the task of 'legitimating' physical knowledge, and this, crucially, with reference to the interpretation of the process of cognition. Thus, as a matter of course, all epistemological assumptions about this process – including the common descriptive understanding of knowledge and its ontological premises – flow into the interpretation of physics as a science. Consequently, this undertaking is not only doubtful from the ground up, because it presupposes for its meaningfulness nothing less than certainty of knowledge concerning (the interpretation of) the process of knowledge, thereby relying on mere convictions; moreover, by projecting the descriptive, 'metaphysical' concept of knowledge onto physics, it leads to unsolvable epistemological problems and corresponding resignative conclusions concerning the claim of knowledge of physics. In other words, epistemology itself builds, due to its basic assumptions, a major obstacle for an adequate understanding of physics. Physics' cross-object, deconstructive approach to knowledge implies a completely different, non-descriptive understanding of its concepts, with consequences that extend far beyond itself due to its status as a basic science. (shrink)

In an online, participatory class, we interpreted 'The Dream of the Three Orcas' knowing nothing of the dreamer beyond age and gender, and having none of the dreamer’s associations. -/- Our interpretation included nine predictions about the dreamer. When it was complete, we asked the bringer of the dream (who had not been present before our interpretation was complete) to give us more information about the dreamer. Later the dreamer also gave us more information. Our predictions were mostly confirmed. The (...) dreamer is standing on beach when huge orca-like floats appear. -/- This record is another iteration of an experiment that is described more fully in the paper 'The Dream of the Six-Legged Dog: An Experimental System that Tests Symbolic Meaning,' soon to be published. This iteration repeats and confirms the evidence given in that paper. ONLINE AUDIO RECORD OF ENTIRE ORCAS' CLASS : link is on title page of the paper you can download here. (shrink)

The recent progression in AI, nanomedicine and robotics have increased concerns about ethics, policy and law. The increasing complexity and hybrid nature of AI and nanotechnologies impact the functionality of “law in action” which can lead to legal uncertainty and ultimately to a public distrust. There is an immediate need of collaboration between Central Asian biomedical scientists, AI engineers and academic lawyers for the harmonization of AI, nanomedicines and robotics in Central Asian legal system.

Causal selection has to do with the distinction we make between background conditions and “the” true cause or causes of some outcome of interest. A longstanding consensus in philosophy views causal selection as lacking any objective rationale and as guided, instead, by arbitrary, pragmatic, and non-scientific considerations. I argue against this position in the context of causal selection for disease traits. In this domain, causes are selected on the basis of the type of causal control they exhibit over a disease (...) of interest. My analysis clarifies the principled rationale that guides this selection and how it involves both pragmatic and objective considerations, which have been overlooked in the extant literature. (shrink)

Summary Analogue models are actual physical setups used to model something else. They are especially useful when what we wish to investigate is difficult to observe or experiment upon due to size or distance in space or time: for example, if the thing we wish to investigate is too large, too far away, takes place on a time scale that is too long, does not yet exist or has ceased to exist. The range and variety of analogue models is too (...) extensive to attempt a survey. In this article, I describe and discuss several different analogue model experiments, the results of those model experiments, and the basis for constructing them and interpreting their results. Examples of analogue models for surface waves in lakes, for earthquakes and volcanoes in geophysics, and for black holes in general relativity, are described, with a focus on examining the bases for claims that these analogues are appropriate analogues of what they are used to investigate. A table showing three different kinds of bases for reasoning using analogue models is provided. Finally, it is shown how the examples in this article counter three common misconceptions about the use of analogue models in physics. (shrink)

In this paper we present a new framework of idealization in biology. We characterize idealizations as a network of counterfactual conditionals that can exhibit different degrees of contingency. We use the idea of possible worlds to say that, in departing more or less from the actual world, idealizations can serve numerous epistemic, methodological or heuristic purposes within scientific research. We defend that, in part, it is this structure what helps explain why idealizations, despite being deformations of reality, are so successful (...) in scientific practice. (shrink)

Several developments for diverse scientific goals, mostly in physics and physiology, had to take place, which eventually gave us fMRI as one of the central research paradigms of contemporary cognitive neuroscience. This technique stands on solid foundations established by the physics of magnetic resonance and the physiology of hemodynamics and is complimented by computational and statistical techniques. I argue, and support using concrete examples, that these foundations give rise to a productive theory-ladenness in fMRI, which enables researchers to identify and (...) control for the types of methodological and inferential errors. Consequently, this makes it possible for researchers to represent and investigate cognitive phenomena in terms of hemodynamic data and for experimental knowledge to grow independently of large scale theories of cognition. (shrink)

I argue that there are two distinct approaches to understand reduction: the ontology-first approach and the theory-first approach. Further, I argue for the significance of this distinction by demonstrating that either one or the other approach has been taken as an implicit assumption in, and has in fact shaped, our understanding of what statistical mechanics is. More specifically, I argue that the Boltzmannian framework of statistical mechanics assumes and relies on the ontology-first approach, whereas the Gibbsian framework should assume the (...) theory-first approach. (shrink)

A brief review of Carnap's formal program in philosophy of science.

To have a well-functioning principle of academic freedom, we need to distin-guish critique from an infringement of academic freedom. To achieve this goal, this paper presents three necessary conditions for something to be an infringe-ment of academic freedom. These conditions allow to delineate cases in which at least one of the three conditions is not fulfilled. These are contrast cases that might – at first glance – look like infringements of academic freedom but are, in fact, not so. I will (...) refer to five such kinds of contrast cases: (1) discrimination and thus a more general kind of unjust treatment of a person engaged in aca-demic affairs, (2) infringement of freedom of speech or other non-academic intel-lectual freedoms, (3) mere critique, (4) justified critique that leads to justified limitations of someone’s academic freedom, and (5) cases of deep disagreement. Special attention will be given to vulnerabilities concerning unjustified silencing of critique, which haunt fields that lack clear and agreed-on ethical or academic standards. (shrink)

Der Erfolg von Maßnahmen zur Eindämmung der COVID-19-Pandemie ist abhängig vom Vertrauen der Öffentlichkeit in wissenschaftliche Experten. Zwar ist Vertrauen als Einstellung gegenüber Experten im Zusammenhang mit der Pandemie bereits viel Aufmerksamkeit zuteilgeworden, allerdings meist in Bezug auf das Vertrauen, das Laien Äußerungen wie Behauptungen und Mitteilungen entgegenbringen, die ihnen das Wissen der Experten zugänglich machen sollen. Dieser Aufsatz stellt dagegen eine andere Art der Äußerung in den Mittelpunkt: die Empfehlung. Im Zusammenhang mit der Pandemie haben Forderungen gegenüber der Politik (...) wissenschaftsbasiert zu verfahren zugenommen. Gleichzeitig sind Politikerinnen und Politiker aber nicht das Sprachrohr der Wissenschaft, sondern übernehmen Verantwortung für eine wissenschaftsbasierte Gesundheitspolitik, unter anderem indem sie Bürgerinnen und Bürgern bestimmte Handlungen empfehlen. Damit erhebt die Politik allerdings den Anspruch, dass Bürgerinnen nicht nur glauben sollten, was ihnen von den Experten gesagt wird, sondern auch, dass sie tun sollten, was von ihnen im Rahmen der Maßnahmen verlangt wird. Ziel dieses Aufsatzes ist es daher zu zeigen, dass Empfehlungen eine Konzeption von Vertrauen erfordert, die sich vom Vertrauen im Kontext von Mitteilungen und Behauptungen stark unterscheidet. Es geht nicht nur darum, diese Art von Vertrauen genauer zu spezifizieren, sondern auch darum zu erklären, unter welchen Voraussetzungen es vernünftig ist, wissenschaftsbasierten Empfehlungen der Politik mit Vertrauen zu begegnen. Dazu gehe ich folgendermaßen vor: In Abschnitt 1 analysiere ich zunächst den Sprechakt des Empfehlens. Das dadurch gewonnene Grundverständnis von empfehlenden Sprechakten untersuche ich dann im Kontext von Empfehlungen wissenschaftlicher Experten während der Covid-19-Pandemie (Abschnitt 2) und plädiere dann dafür, dass eine Analyse der an eine breite Öffentlichkeit gerichteten Empfehlungen am besten bei Äußerungen von Politikern ansetzen muss, die sich auf das kompetente Urteil wissenschaftlicher Expertinnen und Experten beziehen (Abschnitt 3). In Abschnitt 4 diskutiere ich dann die Gründe, die ein Hörer haben könnte, eine solche Empfehlung anzunehmen, bevor ich in den Abschnitten 5 und 6 die für Empfehlungen relevante Form des Vertrauens herausarbeite. Abschnitt 7 diskutiert die Auffassung, dass Vertrauen in wissenschaftsbasierte Empfehlungen nur durch die Anerkennung der Sprecherin im Sinne einer guten Ratgeberin als rationale Einstellung ausgewiesen werden kann, bevor ich abschließend argumentiere, dass diese Rationalitätsbedingungen im Kontext der COVID-19-Pandemie nur schwer einzulösen waren. (shrink)

When scientists or science reporters communicate research results to the public, this often involves ethical and epistemic risks. One such a risk arises when scientific claims cause cognitive or behavioral changes in the audience that contribute to the self-fulfillment of these claims. Focusing on such effects, I argue that the ethical and epistemic problem that they pose is likely to be much broader than hitherto appreciated. Moreover, it is often due to a psychological phenomenon that has been neglected in the (...) research on science communication, namely that many people tend to conform to descriptive norms, that is, norms capturing (perceptions of) what others commonly do, think, or feel. Because of this tendency, science communication can produce significant social harm. I contend that scientists have a responsibility to assess the risk of this potential harm and consider adopting strategies to mitigate it. I introduce one such a strategy and argue that its implementation is independently well motivated by the fact that it helps improve scientific accuracy. (shrink)

We present an epistemological schema of natural sciences inspired by Peirce's pragmaticist view, stressing the role of the \emph{phenomenological map}, that connects reality and our ideas about it. The schema has a recognisable mathematical/logical structure which allows to explore some of its consequences. We show that seemingly independent principles as the requirement of reproducibility of experiments and the Principle of Sufficient Reason are both implied by the schema, as well as Popper's concept of falsifiability. We show that the schema has (...) some power in demarcating science by first comparing with an alternative schema advanced during the first part of the 20th century which has its roots in Hertz and has been developed by Einstein and Popper. Further, the identified differences allow us to focus in the construction of Special Relativity, showing that it uses an intuited concept of velocity that does not satisfy the requirements of reality in Peirce. While the main mathematical observation connected with this issue has been known for more than a century, it has not been investigated from an epistemological point of view. A probable reason could be that the socially dominating epistemology in physics does not encourage such line of work. We briefly discuss the relation of the abduction process presented in this work with discussions regarding ``abduction'' in the literature and its relation with ``analogy''. (shrink)

The use of composite outcomes is becoming widespread in clinical trials. By combining individual outcome measures into a composite, researchers claim a composite can increase statistical precision and trial efficiency, expediting the trial by reducing sample size and cost, and consequently enabling researchers to answer questions that could not otherwise be answered. Another rationale given for using a composite is that it provides a measure of the net effect of the intervention that is more patient-relevant than any single outcome measure. (...) Critics, on the other hand, argue that the use of composites threatens the scientific objectivity of the trial by introducing new risks, and that in practice components are inconsistently defined, unreasonably combined, and inadequately reported. Philosophical scrutiny can help shed light in these disagreements and disentangle ethical and epistemological issues of composites in clinical trials. I examine common use of composites in cardiovascular trials, and show how composite results can be problematic, even misleading, if the proper range of scientific decisions and their consequences are ignored when judging the composite. Philosophies of science that are principled on normative versions of the argument from inductive risk can help explicate issues with composites. I conclude by suggesting ways of remedying composite issues in clinical trials. (shrink)

Scientists imagine constantly. They do this when generating research problems, designing experiments, interpreting data, troubleshooting, drafting papers and presentations, and giving feedback. But when and how do scientists learn how to use imagination? Across six years of ethnographic research, it has been found that advanced career scientists feel comfortable using and discussing imagination, while graduate and undergraduate students of science often do not. In addition, members of marginalized and vulnerable groups tend to express negative views about the strength of their (...) own imaginations, and the general usefulness of imagination in science. After introducing these findings and discussing the typical relationship between a scientist and their imagination across a career, we argue that reducing the number or power of active imaginations in science is epistemically counterproductive, and suggest a number of ways to bring imagination back into science in a more inclusive way, especially through courses on imagination for scientists, role models, and exemplar-based learning. (shrink)

We develop and apply a multi-dimensional account of explanatory depth towards a comparative analysis of inflationary and bouncing paradigms in primordial cosmology. Our analysis builds on earlier work due to Azhar and Loeb (2021) that establishes initial conditions fine-tuning as a dimension of explanatory depth relevant to debates in contemporary cosmology. We propose dynamical fine-tuning and autonomy as two further dimensions of depth in the context of problems with instability and trans-Planckian modes that afflict bouncing and inflationary approaches respectively. In (...) the context of the latter issue, we argue that the recently formulated trans-Planckian censorship conjecture leads to a trade-off for inflationary models between dynamical fine-tuning and autonomy. We conclude with the suggestion that explanatory preference with regard to the different dimensions of depth is best understood in terms of differing attitudes towards heuristics for future model building. (shrink)

This paper examines the role existence plays in measurement validity. I argue that existing popular theories of measurement and of validity follow a correspondence framework, which starts by assuming that an entity exists in the real world with certain properties that allow it to be measurable. Drawing on literature from the sociology of measurement, I show that the correspondence framework faces several theoretical and practical challenges. I suggested the validity-first framework of measurement, which starts with a practice-based validation process as (...) the basis for a measurement theory, and only posits objective existence when it is scientifically useful to do so. (shrink)

This volume offers a collection of in-depth explorations of pragmatism as a framework for discussions in philosophy of science and metaphysics. Each chapter involves explicit reflection on what it means to be pragmatist, and how to use pragmatism as a guiding framework in addressing topics such as realism, unification, fundamentality, truth, laws, reduction, and more. -/- .

This book is the first volume featuring the work of American women philosophers in the first half of the twentieth century. It provides selected papers authored by Mary Whiton Calkins, Grace Andrus de Laguna, Grace Neal Dolson, Marjorie Glicksman Grene, Marjorie Silliman Harris, Thelma Zemo Lavine, Marie Collins Swabey, Ellen Bliss Talbot, Dorothy Walsh and Margaret Floy Washburn. The book also provides the historical and philosophical background to their work. The papers focus on the nature of philosophy, knowledge, the philosophy (...) of science, the mind-matter nexus, the nature of time, and the question of freedom and the individual. The material is suitable for scholars, researchers and advanced philosophy students interested in (history of) philosophy; theories of knowledge; philosophy of science; mind, and reality. (shrink)

‚Wie sehr vertrauen Sie Wissenschaft und Forschung?‘ – eine Frage, die nicht erst seit der Corona-Pandemie viel diskutiert wird. Manch einer würde kritisch korrigieren: ‚Vertrauen Sie überhaupt in Wissenschaft und Forschung?‘ Schlagwörter wie Vertrauens- und Glaubwürdigkeitskrise kommen damit in den Sinn. Oft angeführt wird hier der normative Rahmen wissenschaftlicher Praxis, auf welchen sich das Vertrauen dennoch stützen könne. Was passiert aber, wenn die zugrunde liegende Praxis massiv durch die zunehmende Digitalisierung ihrer Prozesse verändert wird?

All extant purely probabilistic measures of explanatory power satisfy the following technical condition: if Pr(E | H1) > Pr(E | H2) and Pr(E | ∼H1) < Pr(E | ∼H2), then H1’s explanatory power with respect to E is greater than H2’s explanatory power with respect to E. We argue that any measure satisfying this condition faces three serious problems—the Problem of Temporal Shallowness, the Problem of Negative Causal Interactions, and the Problem of Nonexplanations. We further argue that many such measures (...) face a fourth problem—the Problem of Explanatory Irrelevance. (shrink)

Essay review of Hasok Chang, Realism for Realistic People: A New Pragmatist Philosophy of Science.

Policy-makers often rely on scientists to inform their decisions. When advising policy-makers, what should scientists say? One view says that scientists ought to say what they have a high credence in. Another view says that scientists ought to say what they expect to lead to good policy outcomes. We explore a third view: scientists ought to say what they expect to make the policy-makers’ credences accurate.

Whether the hands-on experience of creating inventions can promote Students’ interest in pursuing a science, technology, engineering, and mathematics (STEM) career has not been extensively studied. In a quantitative study, we drew on the attitude-behavior-outcome framework to explore the correlates between hands-on making attitude, epistemic curiosities, and career interest. This study targeted students who joined the selection competition for participating in the International Exhibition of Young Inventors (IEYI) in Taiwan. The objective of the invention exhibition is to encourage young students (...) to make innovative projects by applying STEM knowledge and collaborative design. We collected 220 valid data from participants in the 2021 Taiwan IEYI selection competition and conducted a confirmatory factor analysis and structural equation modeling to test the hypotheses. Results indicated that: (1) hands-on making attitude was positively related to two types of epistemic curiosity; (2) interest-type epistemic curiosity (IEC) and deprivation-type epistemic curiosity (DEC) were positively associated with STEM career interest; additionally, DEC had a higher coefficient on STEM career interest than IEC; (3) both types of EC had a mediating role between hands-on making attitude and STEM career interest. It is expected that encouraging students to participate in invention exhibition competitions can raise both types of EC and increase their interest in pursuing STEM careers. (shrink)

With the powerful analyses and resources they enable, digital humanities tools have captivated researchers from many different fields who want to use them to study science. Digital tools, as well as funding agencies, research communities, and academic administrators, require researchers to think carefully about how they conceptualize, manage, and store data, and about what they plan to do with that data once a given project is over. The difficulties of developing strategies to address these problems can prevent new researchers from (...) sticking with digital tools and flummox even experienced researchers. To help overcome the data hurdle, we present five principles to help researchers, novice and experienced alike, conceptualize and plan for their data. We illustrate the use of those principles with two digital projects from the history of science, the Embryo Project and the Marine Biological Laboratory History Project, and their associated HPS Repository for data. The principles apply beyond the digital realm, so those who collect and manage data by more traditional means will also find them useful. (shrink)

In this new edition, a hypothesis is put forward for the first time to unify the Big Bang theory and the evolutionary theory by showing both events following the same set of fundamental interrelationships. As the evolution of life is a part of the evolutions of the universe, these two events express many fundamental similarities (this is self-similarity, which means a part of the system is similar to the whole system). Based on the same principle, the evolution of multicellular organisms, (...) social evolution, development of the human body, and human technological development are all a part of the evolution of life. Thus, they all follow the same set of rules that all life follows and, at the fundamental level, the interrelationships that the Big Bang follows. Therefore, all of these events follow the fundamental interrelationships and express fundamental similarities. In other words, all these events are the specific expressions of those fundamental interrelationships – the fundamental mechanism that governs everything in the universe. -/- Upon these interrelationships, new approaches to study social development and technological development are employed. By using the knowledge of the medical sciences, including the structures (anatomy and histology), functions (physiology) and development (embryology) of a human body; knowledge of the evolution of life; and the concept of fundamental interrelationships, we can see the future beyond the horizon. Using the nerve system in parallel as a model, we can comprehensively understand the development of the information revolution. Based upon parallel interrelationships, we can see that the transformation of society due to individuals’ power increase brought by new technologies bears great similarities with the transformation from the solid state of ice to the liquid state of water due the individual molecules’ kinetic energy increase. -/- As the fundamental interrelationships govern social evolution, all events in human civilisation are simply specific expressions of those rules in which significant social events not only changed the course of civilisation but left so many unanswered mysteries: how did the Greeks build such brilliant civilisations; why did the Scientific Revolution originate from the West rather than the East such as in China; why did the Chinese society remain in feudalism for such a long time while the Western society had evolved into a higher level – industrialization and modern society; why did the Chinese civilisation fall from its ancient glory in the modern time but rapidly re-rise again to a super power in the last few decades? All these mysteries remain unanswered because of the lack of fundamental laws of physics and evolutionary biology used in the traditional methodologies of social science. As the fundamental laws of physics are the fundamental mechanism for everything and these mysteries are a part of the evolution of life, the fundamental laws of physics and evolutionary biology are used in tackling these unanswered issues. For example, upon parallel relationship, Chinese civilisation is compared with the transition from unicellular organisms to multicellular organisms. From how unicellular organisms aggregate and evolve new rules to organise themselves, we can much better understand how human individuals aggregate to form societies and evolve new cultures to organise themselves in social evolution. Furthermore, transformation from the solid state of ice to the liquid state of water is used to analyze Chinese social evolution. With these approaches the mysteries in Chinese civilisation have been answered. -/- Ultimately, all these discussions in this book have demonstrated that the Interrelationships Model has unified social science with natural science, and furthermore, science with philosophy. This is an important attempt in answering the most fundamental and intriguing question of all – the Theory of Everything. -/- Currently, this book is for FREE download. (shrink)

This paper examines a parallel between Aristotle’s account of phantasia and contemporary psychological models of working memory, a capacity that enables the temporary maintenance and manipulation of information used in many behaviors. These two capacities, though developed within two distinct scientific paradigms, share a common strategy of psychological explanation, Aristotelian Faculty Psychology. This strategy individuates psychological components by their target-domains and functional roles. Working memory and phantasia result from an attempt to individuate the psychological components responsible for flexible thought and (...) are thus implicated in most of our robust cognitive processes, from reading comprehension to problem solving. We then present two novel objections which suggest that these capacities cannot explain our ability to engage in flexible thought. To escape the resultant impasse, we survey alternatives and argue that most promising strategies depend on identifying the behaviors attributed to intelligent thought and action. (shrink)

This paper deals with the question of what the most appropriate semantic theory for theoretical terms would be. Traditionally, in the contemporary literature of philosophy of language, there have been two widely held semantic theories: the descriptivist theory and the causal theory. Comparing theoretical terms with natural kind terms, I attempt to show that the causal theory of reference applies to natural kinds owing to certain ontological and epistemological assumptions of natural kinds realism. I argue that there is no reason (...) to keep these assumptions with respect to theoretical entities. Consequently, the causal theory of reference cannot be applied to theoretical terms. Instead, because of certain ontological and epistemological features of theoretical entities, the rival semantic theory, i.e., the descriptivist theory of reference, properly explains how the referents of these terms get fixed and how these terms find their referents. The paper is structured as follows: the first part deals with the question of how a theoretical entity/kind should be distinguished from non-theoretical ones. The second part facilitates a comparison between theoretical kinds and natural kinds to reveal the ontological and epistemological features of each category. In the third part, I argue why the causal theory of reference fails to be a plausible semantic for theoretical terms, and why its rival theory, i.e., the descriptivist theory, provides an appropriate semantic for such terms. Finally, I raise two potential objections regarding my proposed view and try to show how these objections can be overcome. (shrink)

This paper contributes to explaining the rise of logical empiricism in mid-twentieth century (North) America and to a better understanding of American philosophy of science before the dominance of logical empiricism. We show that, contrary to a number of existing histories, philosophy of science was already a distinct subfield of philosophy, one with its own approaches and issues, even before logical empiricists arrived in America. It was a form of speculative philosophy with a concern for speculative metaphysics, normative issues relating (...) to science and society and issues which later were associated with logical empiricist philosophy of science, issues such as confirmation, scientific explanation, reductionism and laws of nature. Further, philosophy of science was not primarily pragmatist in orientation. We also show, with the help of our historical characterization, that a recent account of the emergence of analytic philosophy applies to the rise of logical empiricism. It has been argued that the emergence of American analytic philosophy is partly explained by analytic philosophers’ use of key institutions, including of journals, to marginalize speculative philosophy and promote analytic philosophy. We argue that this use of institutions included the marginalization of speculative and value-laden philosophy of science and the promotion of logical empiricism. (shrink)

I suspect many philosophers feel the deep reason the topic of scientism matters is that it wrongly questions or impugns the integrity and significance of the discipline of philosophy. Such metaphilosophical concerns may not always be at the forefront during debates about scientism. Sometimes, though, we should engage much broader metaphilosophical issues.

Some philosophical considerations over Yann LeCun’s position paper “A Path Towards Autonomous Machine Intelligence”.