Scientific Method, Miscellaneous

It is sometimes said that simulation can serve as epistemic substitute for experimentation. Such a claim might be suggested by the fast-spreading use of computer simulation to investigate phenomena not accessible to experimentation (in astrophysics, ecology, economics, climatology, etc.). But what does that mean? The paper starts with a clarification of the terms of the issue and then focuses on two powerful arguments for the view that simulation and experimentation are ‘epistemically on a par’. One is based on the claim (...) that, in experimentation, no less than in simulation, it is not the system under study that is manipulated but a system that ‘stands-in’ for it. The other one highlights the pervasive use of models in experimentation. It will be argued that these arguments, as compelling as they might seem, are each based on a mistaken interpretation of experimentation and that, far from simulation and experimentation being epistemically on a par, they do not have the same epistemic function, do not produce the same kind of epistemic results. (shrink)

Progress in the last few decades in what is widely known as “Chaos Theory” has plainly advanced understanding in the several sciences it has been applied to. But the manner in which such progress has been achieved raises important questions about scientific method and, indeed, about the very objectives and character of science. In this presentation, I hope to engage my audience in a discussion of several of these important new topics.

The general theory of relativity was developed using as a nucleus a principle of symmetry: the principle of general covariance. Initially, Einstein saw the principle of general covariance as an extension of the principle of relativity in classical mechanics, and in SR. For Einstein, the principle of general covariance was a crucial postulate in the development of GR. The freedom of the GR diffeomorphism (the invariance of the form of the laws under transformations of the coordinates depending on the arbitrary (...) functions of space and time) is a "local" spacetime symmetry, as opposed to the "global" spacetime symmetries of the SR (which depend instead on the constant parameters ). DOI: 10.13140/RG.2.2.30854.32326. (shrink)

Metodologia, în activitatea de informații, constă din metodele folosite pentru a lua decizii despre amenințări, în special în cadrul disciplinei de analiză a informațiilor. Teoria prismatică a lui Robert Flood, denumită de alții drept pluralism metodologic, folosește metafora pentru a descrie gândirea creativă și de transformare, respectiv o prismă care descompune lumina în culorile sale componente prin dubla refracție. Tehnicile analitice structurale sunt folosite pentru a provoca judecata, la identificarea mentalităților, depășirea prejudecăților, stimularea creativității și gestionarea incertitudinii. DOI: 10.13140/RG.2.2.10589.36329.

Analiza de informații are multe asemănări epistemologice importante cu știința (rezolvarea problemelor, descoperirea, utilizarea cu abilitate a instrumentelor, verificarea cererilor de cunoștințe). Metafora puzzle este folosită atât în activitatea de informații cât și în arheologie. Ambele discipline implică colectarea de dovezi pentru a construi o imagine cât mai completă posibil. Firmele private inovatoare adaptează din ce în ce mai mult modelul serviciilor de informații la lumea afacerilor pentru a ajuta la planificarea propriilor strategii. Practica medicală de diagnosticare a identificării, colectării, (...) analizării și diseminării este similară cu cea a activității de informații. DOI: 10.13140/RG.2.2.35820.72324. (shrink)

David Singer afirmă că, în prezent, amenințarea constituie principalul obiectiv al agențiilor de informații. Activitatea de informații poate fi considerată ca fiind procesul prin care anumite tipuri de informații sunt solicitate, colectate, analizate și diseminate, și modul în care sunt concepute și desfășurate anumite tipuri de acțiuni secrete. Ciclul informațional reprezintă un set de procese utilizate pentru a furniza informații utile în luarea deciziilor. Ciclul constă din mai multe procese. Domeniul conex al contrainformațiilor este însărcinat cu împiedicarea eforturilor informative ale (...) altora. DOI: 10.13140/RG.2.2.10807.06563. (shrink)

Les analystes sont dans le domaine des « connaissances ». L'activité de renseignement fait référence à la connaissance et les types de problèmes abordés sont des problèmes de connaissance. Nous avons donc besoin d'un concept de travail basé sur la connaissance. Nous avons besoin d'une compréhension de base de ce que nous savons et de la manière dont nous le savons, de ce que nous ne savons pas et même de ce qui peut être connu et de ce qui ne (...) peut pas être connu. L'analyse du renseignement implique de « transformer des faits disparates en conclusions concentrées. » DOI: 10.13140/RG.2.2.11223.91043. (shrink)

Programele de cercetare permit dezvoltarea unor teorii mai complexe. Termenii pot fi aplicați atât la teorii individuale cât și la programe. În cazul în care se aplică teoriilor din cadrul unui program de cercetare, consider că acestea devin la rândul lor programe de cercetare, pe care le putem numi subprograme de cercetare. Spre deosebire de revoluțiile științifice ale lui Kuhn, Lakatos a presupus că existența simultană a mai multor programe de cercetare este norma. Știința se confruntă în prezent cu o (...) astfel de situație inedită: două teorii incompatibile, dar ambele acceptate de comunitatea științifică descriu aceeași realitate în două moduri diferite. DOI: 10.13140/RG.2.2.11153.28005. (shrink)

This article is devoted to define and characterize ‘Science’ as a discipline by the fundamental principles of scientific investigation. In particular, we propose and argue that ‘Science’ be defined by a set of principles / criteria which underlies scientific- investigation. We argue that this set must include the following principles: (1) Rationality, (2) Objectivity (3) Universality, (4) Internal Consistency, (5) Uniqueness, (6) Reproducibility, (7) The Principle of Falsification, (8) Simplicity and Elegance and (9) Experimental Observation and Verification. We elaborate, through (...) illustrative examples, the justification of the above set of criteria. `Scientific temper’ essentially means the cultivation of these principles, as attitudes / value-system adopted as “ways of life”. We discuss the relevance of the inculcation of scientific temper in the modern context. Finally, the scope and limitations of the scientific method are highlighted and an attempt is made to dispel several misconceptions and myths associated with Science and scientists. (shrink)

In this paper I discuss Mark Steiner's view of the contribution of mathematics to physics and take up some of the questions it raises. In particular, I take up the question of discovery and explore two aspects of this question ‒ a metaphysical aspect and a related epistemic aspect. The metaphysical aspect concerns the formal structure of the physical world. Does the physical world have mathematical or formal features or constituents, and what is the nature of these constituents? The related (...) epistemic question concerns humans' cognitive ability to reach the formal structure of the physical world. Among other things, I explore the interaction of mathematical and non-mathematical cognition in physical discovery. (shrink)

En este artículo se sostiene la si- guiente hipótesis: si una hipótesis tiene valor epis- témico para Hume, este valor tiene que provenir de la intuición. Para ello se consideran las tres posibles fuentes de conocimiento en su pensamiento: la demos- tración, la experiencia y la intuición. Considerando que Hume presenta su doctrina de la creencia como una hipótesis, se argumenta que el valor epistémico de las hipótesis no puede provenir de la demostración ni de la experiencia y, por tanto, (...) o las hipótesis carecen de valor epistémico o su valor epistémico proviene de la intuición. Para sostener la hipótesis propuesta se ofrece un análisis de la evidencia textual sobre la hi- pótesis y la intuición a la luz de la literatura disponible sobre el tema. (shrink)

Good physical experiments conform to the basic methodological standards of experimental design: they are objective, reliable, and valid. But is this also true of thought experiments? Especially problems of personal identity have engendered hypothetical scenarios that are very distant from the actual world. These imagined situations have been conspicuously ineffective at resolving conflicting intuitions and deciding between the different accounts of personal identity. Using prominent examples from the literature, I argue that this is due to many of these thought experiments (...) not adhering to the methodological standards that guide experimental design in nearly all other disciplines. I also show how empirically unwarranted background assumptions about human physiology render some of the hypothetical scenarios that are employed in the debate about personal identity highly misleading. (shrink)

This paper provides a critical review of the debate over the philosophical foundations of mixed methods research and examines the notion of philosophical foundations. It distinguishes axiology-oriented from ontology-oriented philosophical foundations. It also identifies three different senses of philosophical foundations of mixed methods research. The weak sense of philosophical foundations (e.g., pragmatism) merely allows the possibility of the integration of both quantitative and qualitative methods/data/designs. The moderate sense of philosophical foundations (e.g., transformativism) provide a good reason to use mixed methods (...) in (at least some) social scientific research. The strong sense of philosophical foundations (e.g., dialectical pluralism) justifies a normative thesis that mixed methods research should be encouraged in (at least some) social scientific research. (shrink)

"Correlation is not causation" is one of the mantras of the sciences—a cautionary warning especially to fields like epidemiology and pharmacology where the seduction of compelling correlations naturally leads to causal hypotheses. The standard view from the epistemology of causation is that to tell whether one correlated variable is causing the other, one needs to intervene on the system—the best sort of intervention being a trial that is both randomized and controlled. In this paper, we argue that some purely correlational (...) data contains information that allows us to draw causal inferences: statistical noise. Methods for extracting causal knowledge from noise provide us with an alternative to randomized controlled trials that allows us to reach causal conclusions from purely correlational data. (shrink)

"David Ricardo has been acclaimed - or vilified - for merits he would never have dreamt of, or sins for which he was entirely innocent. Entrenched mythology labels him as a utilitarian economist, an enemy of the working class, an impractical theorist, a scientist with 'no philosophy at all' and the author of a formalist methodological revolution. Exploring a middle ground between theory and biography, this book explores the formative intellectual encounters of a man who came to economic studies via (...) other experiences, thus bridging the gap between the historical Ricardo and the economist's Ricardo. The chapters undertake a thorough analysis of Ricardo's writings in their context, asking who was speaking, what audience was being addressed, with what communicative intentions, using what kind of lexicon and communicative conventions, and starting with what shared knowledge. The work opens in presenting the different religious communities with which Ricardo was in touch. It goes on to describe his education in the leading science of the time - geology - before he turned to the study of political economy. Another chapter discusses five 'philosophers' - students of logic, ethics and politics - with whom he was in touch. From correspondence, manuscripts and publications, the closing chapters reconstruct, firstly, Ricardo's ideas on scientific method, the limits of the 'abstract science' and its application, secondly, his ideas on ethics and politics and their impact on strategies for improving the condition of the working class. This book sheds new light on Ricardian economics, providing an invaluable service to readers of economic methodology, philosophy of economics, the history of economic thought, political thought and philosophy. Sergio Cremaschi is a former Reader of Moral Philosophy at the 'Amedeo Avogadro' University at Vercelli"--. (shrink)

Recent epistemology of modality has seen a growing trend towards metaphysics-first approaches. Contrastingly, this paper offers a more philosophically modest account of justifying modal claims, focusing on the practices of scientific modal inferences. Two ways of making such inferences are identified and analyzed: actualist-manipulationist modality and relative modality. In AM, what is observed to be or not to be the case in actuality or under manipulations, allows us to make modal inferences. AM-based inferences are fallible, but the same holds for (...) practically all empirical inquiry. In RM, modal inferences are evaluated relative to what is kept fixed in a system, like a theory or a model. RM-based inferences are more certain but framework-dependent. While elements from both AM and RM can be found in some existing accounts of modality, it is worth highlighting them in their own right and isolating their features for closer scrutiny. This helps to establish their relevant epistemologies that are free from some strong philosophical assumptions often attached to them in the literature. We close by showing how combining these two routes amounts to a view that accounts for a rich variety of modal inferences in science. (shrink)

Sözde-bilim ile ilgili bu tartışmalar uluslararası literatürde yapılıyor olsa da Türkiye’de henüz bu konuların eleştirel olarak ele alındığı söylenemez. Dolayısıyla sözde-bilimlerin eleştirel olarak ele alındığı öğrenme ortamlarının öğrencilerin bilime ve sözde-bilime ilişkin algılarına etkisi üzerine yapılacak araştırmalar konunun daha iyi anlaşılmasını sağlayabilir ve belki de ilerideki program değişiklerinde öğretim programlarında sözde-bilimin yer bulmasının yolunu açabilir.

Transcendental philosophy was not born like Athena out of Zeus’s head, mature and in full armour from the very beginning. That is why in both prefaces to the Critique of Pure Reason (1781 and 1787) Kant introduces the concept of transcendental philosophy as an “idea.” The idea understood architectonically develops slowly and only gradually acquires a definite form. As witnessed by the works of Kant himself and of his predecessors and followers, the idea of transcendental philosophy has undergone a series (...) of changes and adjustments compared to the initial plan. In this context, my goal is not simply exegesis and historical investigation of transcendental philosophy, but also to look at it from a systematic and methodological perspective. I examine the concept of transcendental philosophy from the viewpoint of programmatic metaphilosophy. The first part discusses programmatics as a distinct subsection of metaphilosophy. I argue that Kant’s architectonic methodology and the methodology of Lakatos can be used to understand the inception, development and degradation of philosophical systems. In the second part I look at the project of transcendental philosophy and the stages of its development from the standpoint of architectonics. The third part shows that Lakatos’s methodology can provide a detailed insight into the elements of transcendental philosophy, a clear idea of its logic and identify the component parts that can be improved and developed. In spite of the different levels of detailing and epistemological prerequisites, the methodologies of Kant and Lakatos can be combined to achieve a metaphilosophically informed and progressive understanding of philosophical projects. -/- Keywords: transcendental philosophy, Kant, programmatics, architectonics, metaphilosophy, ideas of reason, Lakatos, research programmes. (shrink)

William S. Lewis examines the contribution to philosophy of science made by Lefebvre, in the context of his membership of the French Communist Party.

The world is in a state of crisis. Global problems that threaten our future include: the climate crisis; the destruction of natural habitats, catastrophic loss of wild life, and mass extinction of species; lethal modern war; the spread of modern armaments; the menace of nuclear weapons; pollution of earth, sea and air; rapid rise in the human population; increasing antibiotic resistance; the degradation of democratic politics, brought about in part by the internet. It is not just that universities around the (...) world have failed to help humanity solve these global problems; even worse, they have made the genesis of these problems possible. Modern science and technology, developed in universities, have made possible modern industry and agriculture, modern hygiene and medicine, modern power production and travel, modern armaments, which in turn make possible much that is good, all the great benefits of the modern world, but also all the global crises that now threaten our future. What has gone wrong? The fault lies with the whole conception of inquiry built into universities around the world. The basic idea is to help promote human welfare by, in the first instance, acquiring scientific knowledge and technological know-how. First, knowledge is to be acquired; once acquired, it can be applied to help solve social problems, and promote human welfare. But this basic idea is an intellectual disaster. Judged from the standpoint of promoting human welfare, it is profoundly and damagingly irrational, in a structural way. As a result of being restricted to the tasks of acquiring and applying knowledge, universities are prevented from doing what they most need to do to help humanity solve global problems, namely, engage actively with the public to promote action designed to solve global problems. We need urgently to bring about a revolution in universities around the world, wherever possible, so that their central task becomes to help humanity learn how to solve the climate crisis and other problems of living, local and global, so that we may make progress towards a good, civilized world. Almost every branch and aspect of the university needs to change. (shrink)

A Série Investigação Filosófica, uma iniciativa do Núcleo de Ensino e Pesquisa em Filosofia do Departamento de Filosofia da UFPel e do Grupo de Pesquisa Investigação Filosófica do Departamento de Filosofia da UNIFAP, sob o selo editorial do NEPFil online e da Editora da Universidade Federal de Pelotas, com auxílio financeiro da John Templeton Foundation, tem por objetivo precípuo a publicação da tradução para a língua portuguesa de textos selecionados a partir de diversas plataformas internacionalmente reconhecidas, tal como a Stanford (...) Encyclopedia of Philosophy, por exemplo. O objetivo geral da série é disponibilizar materiais bibliográficos relevantes tanto para a utilização enquanto material didático quanto para a própria investigação filosófica. (shrink)

Precision medicine and molecular systems medicine (MSM) are highly utilized and successful approaches to improve understanding, diagnosis, and treatment of many diseases from bench-to-bedside. Especially in the COVID-19 pandemic, molecular techniques and biotechnological innovation have proven to be of utmost importance for rapid developments in disease diagnostics and treatment, including DNA and RNA sequencing technology, treatment with drugs and natural products and vaccine development. The COVID-19 crisis, however, has also demonstrated the need for systemic thinking and transdisciplinarity and the limits (...) of MSM: the neglect of the bio-psycho-social systemic nature of humans and their context as the object of individual therapeutic and population-oriented interventions. COVID-19 illustrates how a medical problem requires a transdisciplinary approach in epidemiology, pathology, internal medicine, public health, environmental medicine, and socio-economic modeling. Regarding the need for conceptual integration of these different kinds of knowledge we suggest the application of general system theory (GST). This approach endorses an organism-centered view on health and disease, which according to Ludwig von Bertalanffy who was the founder of GST, we call Organismal Systems Medicine (OSM). We argue that systems science offers wider applications in the field of pathology and can contribute to an integrative systems medicine by (i) integration of evidence across functional and structural differentially scaled subsystems, (ii) conceptualization of complex multilevel systems, and (iii) suggesting mechanisms and non-linear relationships underlying the observed phenomena. We underline these points with a proposal on multi-level systems pathology including neurophysiology, endocrinology, immune system, genetics, and general metabolism. An integration of these areas is necessary to understand excess mortality rates and polypharmacological treatments. In the pandemic era this multi-level systems pathology is most important to assess potential vaccines, their effectiveness, short-, and long-time adverse effects. We further argue that these conceptual frameworks are not only valid in the COVID-19 era but also important to be integrated in a medicinal curriculum. (shrink)

This paper argues that the main global critiques of scientism lose their punch because they rely on an uncharitable definition of their target. It focuses on epistemological scientism and divides it into four categories in terms of how strong (science is the only source of knowledge) or weak (science is the best source of knowledge) and how narrow (only natural sciences) or broad (all sciences or at least not only the natural sciences) they are. Two central arguments against scientism, the (...) (false) dilemma and self‐referential incoherence, are analysed. Of the four types of epistemological scientism, three can deal with these counterarguments by utilizing two methodological principles: epistemic evaluability of reliability and epistemic opportunism. One hopes that these considerations will steer the discussion on scientism to more fruitful pastures in the future. For example, there are interesting methodological considerations concerning what evaluability or reliability and epistemic opportunism entail. (shrink)

Our understanding of folk and scientific psychology often informs the law’s conclusions regarding questions about the voluntariness of a defendant’s action. The field of psychology plays a direct role in the law’s conclusions about a defendant’s guilt, innocence, and term of incarceration. However, physical sciences such as neuroscience increasingly deny the intuitions behind psychology. This paper examines contemporary biases against the autonomy of psychology and responds with considerations that cast doubt upon the legitimacy of those biases. The upshot is that (...) if reasonable doubt is established regarding whether psychology’s role in the law should be displaced, then there is room for future work to be done with respect to the truth of psychology’s conclusions about criminal responsibility. (shrink)

The idea of science being the best – or the only – way to reach the truth about our cosmos has been a major belief of modern civilization. Yet, science has grown tall on fragile legs of clay. Every scientific theory uses axioms and assumptions that by definition cannot be proved. This poses a serious limitation to the use of science as a tool to find the truth. The only way to search for the latter is to redefine the former (...) to its original glory. In the days well before Galileo and Newton, science and religion were not separated. They worked together to discover the truth and while the latter had God as its final destination, the former had God as its starting point. Science is based on the irrational (unproven) belief that the world is intelligible along many other assumptions. This poses a serious limitation to science that can only be overcome if we accept the irrationality of the cosmos. The motto “Credo quia absurdum” holds more truth than one can ever realize at first glance. There is nothing logical in logic, whereas there is deep wisdom in the irrational. For while the former tries to build castles on moving sand, the latter digs deep inside the depths of existence itself in order to build on the most concrete foundations that there can be: the cosmos itself. The only way forward is backwards. Backwards to a time when religion led the quest for knowledge by accepting what we cannot know, rather than trying to comprehend what we do not. Science was anyway based on that in the first place. (shrink)

For centuries, science was considered as something radically different from religion. Yet, the foundations of true science are deeply religious in nature. This paper seeks to show how religion is the only foundation needed for the formulation of scientific theories, since it provides the core principles on which the building of exact sciences is based upon. Our need to understand the cosmos and our faith in us being able to do so, are the main prerequisites for conducting science; prerequisites that (...) are derived from our belief in us being the sons of God and, thus, being able to read His mind. From its birth on 7 March 1277 up to today, science seems to be the only logical attitude of religious people towards the unknown cosmos. (shrink)

Fukuyama's 'The End of History' has referred to Kojeve's 'homogenous state' as some sort of conceptual container for the evolving idea of liberal democracy. This paper critically re-assess the homogeneity of state as final stage of liberal idea and defends civil society in terms of democratic governance. It also invites to discuss the role of scholars as public intellectuals and repels the ideological abuse of the scientific method.

Experimental design is one aspect of a scientific method. A well-designed, properly conducted experiment aims to control variables in order to isolate and manipulate causal effects and thereby maximize internal validity, support causal inferences, and guarantee reliable results. Traditionally employed in the natural sciences, experimental design has become an important part of research in the social and behavioral sciences. Experimental methods are also endorsed as the most reliable guides to policy effectiveness. Through a discussion of some of the central concepts (...) associated with experimental design, including controlled variation and randomization, this chapter will provide a summary of key ethical issues that tend to arise in experimental contexts. In addition, by exploring assumptions about the nature of causation and by analyzing features of causal relationships, systems, and inferences in social contexts, this chapter will summarize the ways in which experimental design can undermine the integrity of not only social and behavioral research but policies implemented on the basis of such research. (shrink)

It is generally accepted among philosophers of science that hypothesis testing is a key methodological feature of science. As far as philosophical theories of confirmation are con...

This book on Philosophy of Science includes a comprehensive discussion of ontology, epistemology, and axiology of science in the constellation of various other knowledge, as well as the development of scientific knowledge holistically contained in each module in this course. These three things are branches of philosophy which are very useful for students of Teacher Training and Education in mediating the learning and learning process so that the essence of Philosophy of Science can then be implemented within the scope of (...) professionalism in particular and society in general and the challenges of the industrial era 4.0 in the 20th century 21 The discussion on ontology is focused on elements of empirical reality (empericism) such as facts, data, and information without releasing it from rational reality (rationalism), and its position in scientific activities. The epistemology of science is focused on the scientific method and its operationalization in research methodology. The axiology of science discusses the values ​​associated with scientific activities and their uses, both internally, externally, and socially. (shrink)

In response to Anderson and Arzyutov’s paper, I argue that ambiguities in the Russian social-scientific concept of “etnos” reveal its place in what I call a “field style” for thinking and doing science. Tolerance for ambiguity is, I suggest, a methodological strength of the field sciences. I support these reflections by also addressing the etnos concept’s origins in the complex history of Ukrainian nationalism.

We philosophers of science have before us an important new task that we need urgently to take up. It is to convince the scientific community to adopt and implement a new philosophy of science that does better justice to the deeply problematic basic intellectual aims of science than that which we have at present. Problematic aims evolve with evolving knowledge, that part of philosophy of science concerned with aims and methods thus becoming an integral part of science itself. The outcome (...) of putting this new philosophy into scientific practice would be a new kind of science, both more intellectually rigorous, and one that does better justice to the best interests of humanity. (shrink)

I present a recent historical case from cosmology—the story of inflationary cosmology—and on its basis argue that solving explanatory problems is a reliable method for making progress in science. In particular, I claim that the success of inflationary theory at solving its predecessor’s explanatory problems justified the theory epistemically, even in advance of the development of novel predictions from the theory and the later confirmation of those predictions.

For many old and new mechanists, Mechanism is both a metaphysical position and a thesis about scientific methodology. In this paper we discuss the relation between the metaphysics of mechanisms and the role of mechanical explanation in the practice of science, by presenting and comparing the key tenets of Old and New Mechanism. First, by focusing on the case of gravity, we show how the metaphysics of Old Mechanism constrained scientific explanation, and discuss Newton’s critique of Old Mechanism. Second, we (...) examine the current mechanistic metaphysics, arguing that it is not warranted by the use of the concept of mechanism in scientific practice, and motivate a thin conception of mechanism (the truly minimal view), according to which mechanisms are causal pathways for a certain effect or phenomenon. Finally, we draw analogies between Newton’s critique of Old Mechanism and our thesis that the metaphysical commitments of New Mechanism are not necessary in order to illuminate scientific practice. (shrink)

The aim of this study is to determine the perceptions of gifted and talented 4th grade primary school students towards pseudoscience, as well as their awareness of scientific process skills by using pseudoscientific scenarios. Specifically, the aim is to reveal the students’ knowledge about crystals, which is a pseudoscientific issue, views on treatments carried out with crystals, experiences about experiments, knowledge about scientific process skills and scientific process skills used in proposing research methodology for claims about crystals’ healing abilities.

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)

A map is not its territory. Taking a map too seriously may lead to pernicious reification: map and world are conflated. As one family of cases of such reification, I focus on maps exuding the omphalos syndrome, whereby a centred location on the map is taken to be the world navel of, for instance, an empire. I build on themes from my book _When Maps Become the World_, in which I analogize scientific theories to maps, and develop the tools of (...) assumption archaeology and integration platforms. Here I argue that excavating assumptions helps fill cartographic silences, showing the limitations of perspectives often at war. Furthermore, integrating perspectives permits resisting imperial central or master images. A worthwhile future project would be a repository of world-navel maps, critically annotated with cultural context and imperial information. Mutual understanding may result from such an integration platform, perhaps implemented online or in a museum. (shrink)

During the twentieth century, the mechanistic worldview came under attack mainly because of the rise of quantum mechanics but some of its basic characteristics survived and are still evident within current science in some form or other. Many scholars have produced interesting studies of such significant mechanistic trends within current physics and biology but very few have bothered to explore the effects of this worldview on current chemistry. This paper makes a contribution to fill this gap. It presents first a (...) brief historical overview of the mechanistic worldview and then examines the present situation within chemistry by referring to current studies in the philosophy of chemistry and determining which trends are still mechanistic in spirit and which are not. (shrink)

Modern science began as natural philosophy, an admixture of philosophy and science. It was then killed off by Newton, as a result of his claim to have derived his law of gravitation from the phenomena by induction. But this post-Newtonian conception of science, which holds that theories are accepted on the basis of evidence, is untenable, as the long-standing insolubility of the problem of induction indicates. Persistent acceptance of unified theories only in physics, when endless equally empirically successful disunified rivals (...) are available, means that physics makes a persistent, problematic metaphysical assumption about the universe: that all disunified theories are false. This assumption, precisely because it is problematic, needs to be explicitly articulated within physics, so that it can be critically assessed and, we may hope, improved. The outcome is a new conception of science—aim-oriented empiricism—that puts science and philosophy together again, and amounts to a modern version of natural philosophy. Furthermore, aim-oriented empiricism leads to the solution to the problem of induction. Natural philosophy pursued within the methodological framework of aim-oriented empiricism is shown to meet standards of intellectual rigour that science without metaphysics cannot meet. (shrink)

دليل مُرتَّب أبجديًا للمصطلحات الأساسية، وكذلك لأشهر الأعلام، في المجالات المختلفة لفلسفة العلم. يُغطي الكتاب أبرز المشكلات، والمواقف، والتصورات، والحجج التي كانت مثار مناقشات واسعة بين الفلاسفة. والهدف الأساسي له هو فهم المناقشات الحالية من خلال تتبع وتفسير تطوراتها التاريخية وارتباطاتها بالمسائل الفلسفية الأبعد. ومع أن الكتاب يفترض مسبقًا وجود خلفية معرفية بفلسفة العلم لدى القارئ، إلا أنه مفيد بالقدر ذاته لكل من المبتدئين من دارسي فلسفة العلم، والمتخصصين ذوي الخبرات الواسعة، فضلاً عن عامة القُراء. وسوف يجد القارئ من خلال (...) تصفحه للكتاب تفسيرات مُركزة، وتحليلات دقيقة، وأمثلة توضيحية، ومشكلات مفتوحة، وأخيرًا وليس آخرًا، حججًا ذات بينة. وغني عن الذكر أن فلسفة العلم هي في حد ذاتها فرعٌ معرفي مزدهر، وهذا الكتاب بمثابة وسيلة عملية وتصورية فعالة للولوج داخل هذا الفرع المعرفي المميز واستكشاف أغواره. (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 paper defends the naïve thesis that the method of experiment has per se an epistemic superiority over the method of computer simulation, a view that has been rejected by some philosophers writing about simulation, and whose grounds have been hard to pin down by its defenders. I further argue that this superiority does not come from the experiment’s object being materially similar to the target in the world that the investigator is trying to learn about, as both sides of (...) dispute over the epistemic superiority thesis have assumed. The superiority depends on features of the question and on a property of natural kinds that has been mistaken for material similarity. Seeing this requires holding other things equal in the comparison of the two methods, thereby exposing that, under the conditions that will be specified, the simulation is necessarily epistemically one step behind the corresponding experiment. Practical constraints like feasibility and morality mean that scientists do not often face an other-things- equal comparison when they choose between experiment and simulation. Nevertheless, I argue, awareness of this superiority and of the general distinction between experiment and simulation is important for maintaining motivation to seek answers to new questions. (shrink)

Many philosophers of science have maintained that science should be value-free; still others believe that such ideal is neither achievable nor desirable for science. Hugh Lacey is presently one of the main supporters of the idea of value-free science and his theory is probably the most debated today and attracts the most attention and criticism. Therefore, in this text, I will primarily analyze his theory of value-free science. After briefly defining the notion of value I highlight which strategy Lacey chooses (...) to lay a firm foundation for the concept of science without value, with his starting point being the differentiation between cognitive and non-cognitive values. Then I describe three basic characteristics of Lacey’s value-free science: impartiality, neutrality, and autonomy. However, the overall plan and design of his project, together with some concrete steps he takes, are not without problems in our view. I will try to point out some of these problematic issues and provide brief suggestions for alleviating them. (shrink)

Bayesians often assume, suppose, or conjecture that for any reasonable explication of the notion of simplicity a prior can be designed that will enforce a preference for hypotheses simpler in just that sense. But it is shown here that there are simplicity-driven approaches to curve-fitting problems that cannot be captured within the orthodox Bayesian framework.

Part 1 of this paper sketches Wittgenstein’s opposition to scientism in general. Part 2 explores his opposition to scientism in philosophy focusing, in particular, on philosophy of mind; how must philosophy of mind proceed if it is to avoid the kind of scientism that Wittgenstein complains about? Part 3 examines a central anti-scientistic strand in Wittgenstein’s Last Writings on the Philosophy of Psychology volume II: his treatment of the ‘uncertainty’ of the relation between ‘outer’ behaviour and ‘inner’ experiences and mental (...) states. (shrink)

Where E is the proposition that [If H and O were true, H would explain O], William Roche and Elliot Sober have argued that P(H|O&E) = P(H|O). In this paper I argue that not only is this equality not generally true, it is false in the very kinds of cases that Roche and Sober focus on, involving frequency data. In fact, in such cases O raises the probability of H only given that there is an explanatory connection between them.

Defenders of Inference to the Best Explanation claim that explanatory factors should play an important role in empirical inference. They disagree, however, about how exactly to formulate this role. In particular, they disagree about whether to formulate IBE as an inference rule for full beliefs or for degrees of belief, as well as how a rule for degrees of belief should relate to Bayesianism. In this essay I advance a new argument against non-Bayesian versions of IBE. My argument focuses on (...) cases in which we are concerned with multiple levels of explanation of some phenomenon. I show that in many such cases, following IBE as an inference rule for full beliefs leads to deductively inconsistent beliefs, and following IBE as a non-Bayesian updating rule for degrees of belief leads to probabilistically incoherent degrees of belief. (shrink)

Over the past 25 years, several new “medicines” have come screeching onto health care’s various platforms, including narrative medicine, personalized medicine, precision medicine and person-centred medicine. Philosopher Miriam Solomon calls the first three of these movements different “ways of knowing” or “methods,” and argues that they are each a response to shortcomings of methods that came before them. They should also be understood as reactions to the current dominant model of medicine. In this article, I will describe our dominant model, (...) which I call “the new medical model.” I will argue that several towering problems in modern medicine can be traced to its philosophical foundations, which calls for philosophical analysis. (shrink)