Scientific Method, Miscellaneous

Introduction to Karl Popper's philosophy of science.

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.

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)

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.

Science is epistemically special, or so I will assume: it is better able to produce knowledge about the workings of the world than other knowledge-directed pursuits. Further, its superior epistemic powers are due to its being in some sense especially empirical: in particular, science puts great weight on a form of inductive reasoning that I call empirical con rmation. My aim in this paper is to investigate the nature of science’s “empiricism”, and to provide a preliminary explanation of the connection (...) between empirical confirmation and epistemic efficacy. I will try to convince you that the place to find an account of empirical confirmation is the dusty, long-neglected instantialist account of scientific inference offered by mid-century logical empiricists. Some revision of instantialism will be required. As for what is advantageous in empirical confirmation, I propose that it is an unusual degree of independence from background belief. (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)

What is science, and what is it not? Is falsifiability the key to drawing this line? How and why does science work? Should we worry whether science is talking about a "real" world? And should we stop thinking there is a single thing we can call "the scientific method"? With Deborah Mayo, Robert Rynasiewicz, and Drew Arrowood.

Datafizierung, Publizierung, Metrisierung – unter diesen Stichpunkten untersuchen die AutorInnen des vorliegenden Bandes die Auswirkungen der zunehmenden Digitalisierung auf die Erzeugung, Auswahl, Bereitstellung und Bewertung wissenschaftlicher Erkenntnis. Wie wird Wissen aus den Weiten des digitalen Raums herausgefiltert? Wie wird es generiert? Was wird als Wissen verfügbar gemacht – und was nicht? Wie und von wem wird das digital erfasste Wissen evaluiert? Diese den Wissenschaftsbetrieb herausfordernden Fragen diskutieren ExpertInnen aus Philosophie, Informations- und Bibliothekswissenschaft sowie Informatik. Ihre Beiträge reflektieren in kritischer und (...) konstruktiver Weise die Gestaltung und Folgen der digitalisierten Wissenschaftspraxis. (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)

For more than twenty years, Peter Vanderschraaf’s work has combined rigorous game-theoretic analysis, innovative use of (social) scientific method, and normative analysis in the context of the social contract. Vanderschraaf’s work has influenced a significant interdisciplinary field of study and culminated in the publication of his book, Strategic Justice: Convention and Problems of Balancing Divergent Interests (OUP, 2019). Building upon his previous work, Vanderschraaf developed a new theory of justice (justice-as-convention) that, despite a mutual advantage approach, considers the most vulnerable (...) members of society and defends the egalitarian bargaining solution. To advance his theory, Vanderschraaf proposes an account of conventions that updates and systematizes David Lewis’s account of conventions, drawing on contemporary developments in game theory and economics. This topical collection brings together game theorists, philosophers, economists, and political scientists to discuss themes from Vanderschraaf’s work. The collection bridges a gap among disjoint but closely related literatures in game theory, bargaining theory, formal philosophy, rationality, equality, justice, and the social contract in order to advance dialogue among scholars in this rich and growing field of study. (shrink)

In this chapter we examine Moti Mizrahi’s claim that philosophers’ opposition of scientism is founded on their worry that scientism poses “a threat to the soul or essence of philosophy as an a priori discipline”. We find Mizrahi’s methodology for testing this thesis wanting. We offer an alternative hypothesis for the increased resistance of scientism: the antipathy started as a reaction to the New Atheist movement. We also consider two varieties of weak scientism, narrow and broad, and argue that narrow (...) versions of scientism draw unnatural and unfounded distinctions within science. Mizrahi belongs somewhere between these two types, but he commits the same mistakes as proponents of the narrow variety. We demonstrate that Mizrahi’s defence of weak scientism is problematic, once again, due to methodological reasons. As an alternative, we propose that weak scientism should be based on epistemic opportunism. Epistemic opportunism explains the success of science with scientists’ willingness to adopt any methods that demonstrably work. We also show how opportunistic scientism can avoid charges of triviality. (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)

Jan G. Michel argues that we need a philosophy of scientific discovery. Before turning to the question of what such a philosophy might look like, he addresses two questions: Don’t we have a philosophy of scientific discovery yet? And do we need one at all? To answer the first question, he takes a closer look at history and finds that we have not had a systematic philosophy of scientific discovery worthy of the name for over 150 years. To answer the (...) second question, Michel puts forward three arguments that show the importance of a philosophy of scientific discovery. Briefly, he arrives at the following answers: No, we don’t yet have a philosophy of scientific discovery, and yes, we definitely need one. To remedy this shortcoming, Michel analyzes the concept of discovery, leading him to the insight that scientific discoveries have an underlying structure with certain structural features. Some of these features may be important but not indispensable to scientific discovery processes; these include eureka moments, serendipities, joint discoveries, special science funding, and others. In addition, Michel identifies three indispensable structural features which he examines in detail and which he places in a picture with a certain dynamics according to which the process of making scientific discoveries can be seen as a path, leading us from finding and acceptance to knowledge. (shrink)

This book explores the Bayesian approach to the logic and epistemology of scientific reasoning. Section 1 introduces the probability calculus as an appealing generalization of classical logic for uncertain reasoning. Section 2 explores some of the vast terrain of Bayesian epistemology. Three epistemological postulates suggested by Thomas Bayes in his seminal work guide the exploration. This section discusses modern developments and defenses of these postulates as well as some important criticisms and complications that lie in wait for the Bayesian epistemologist. (...) Section 3 applies the formal tools and principles of the first two sections to a handful of topics in the epistemology of scientific reasoning: confirmation, explanatory reasoning, evidential diversity and robustness analysis, hypothesis competition, and Ockham's Razor. (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)

Replications are often taken to play both epistemic and demarcating roles in science: they provide evidence about the reliability of fields’ methods and, by extension, about which fields “count” as scientific. I argue that, in a field characterized by a high degree of theoretical openness and uncertainty, like comparative cognition, replications do not sit well in these roles. Like other experiments conducted under conditions of uncertainty, replications are often equivocal and open to interpretation. As a result, they are poorly placed (...) to deliver clear judgments about the reliability of comparative cognition’s methods or its scientific bona fides. I suggest that this should encourage us to take a broader view of both the nature of scientific progress and the role of replication in comparative cognition. (shrink)

The role of judgments of beauty in scientific theory evaluation is the subject of significant debate in contemporary philosophy of science. This book advances that debate by broadening its scope. In Judgments of Beauty in Theory Evaluation, the author argues that judgments of beauty are a justified part of theory evaluation of all sorts: not only scientific theory evaluation, but also philosophical theory evaluation. The author argues for this thesis by providing an account of beauty—inherited from Kant and Mothersill—on which (...) the distinctive nature of judgments of beauty is that they are unprincipled, yet possible. The author then analyzes two important methods of theory evaluation—reflective equilibrium and simplicity—and argues that these methods require making judgments of beauty so understood. Finally, the author argues that these methods of theory evaluation are not anomalies, but that they point to a deeper lesson about the nature of theorizing and the necessity of using judgments of beauty to evaluate systems, like theories. This conclusion has implications for the debate in philosophy of science over judgments of beauty, but also prompts a reckoning in philosophy itself over the use of judgments of beauty in philosophical theory evaluation. (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)

Abstraction and generalization are two processes of reasoning that have a special role in the construction of scientific theories and models. They have been important parts of the scientific method ever since the nineteenth century. A philosophical and historical analysis of scientific practices shows how abstraction and generalization found their way into the theory of the logic of science of the nineteenth-century philosopher Charles S. Peirce. Our case studies include the scientific practices of Francis Galton and John Herschel, who introduced (...) composite photographs and graphical methods, respectively, as technologies of generalization and thereby influenced Peirce’s logic of abstraction. Herschel’s account of generalization is further supported by William Whewell, who was very influential on Peirce. By connecting Herschel’s scientific technology of abstraction to Peirce’s logical technology of abstraction—namely, diagrams—we highlight the role of judgments in scientific observation by hypostatic abstractions. We also relate Herschel’s discovery-driven logic of science and Peirce’s open-ended diagrammatic logic to the use of models in science. Ultimately, Peirce’s theory of abstraction is a case of showing how logic applies to reality. (shrink)

An introduction for students in the hard and social sciences, this brief book examines the nature and limits of human knowledge. Topics include how humans process information, how they cannot have certain knowledge, the limits to all human systems of definition including science, and the considerations of these limits. -/- .

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)

Although there has been a lot of investigation into the influence of the network structure of scientific communities on the one hand and into testimonial norms on the other, a discussion of TNs that take the network structure into account has been lacking. In this paper, I introduce two TNs which are sensitive to the local network structure. According to these norms, scientists should give less weight to the results of well-connected colleagues, as compared to less connected ones. I employ (...) an Agent Based Model to test the reliability of the two novel TNs against different versions of conventional, structure-insensitive TNs in networks of varying size and structure. The results of the simulations show that the novel TNs are more reliable. This suggests that it would be beneficial for scientific communities if their members followed such norms. For individual scientists, I show that there are both reasons for and reasons against adopting them. (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)

Scientific progress depends crucially on scientific discoveries. Yet the topic of scientific discoveries has not been central to debate in the philosophy of science. This book aims to remedy this shortcoming. Based on a broad reading of the term “science” (similar to the German term “Wissenschaft”), the book convenes experts from different disciplines who reflect upon several intertwined questions connected to the topic of making scientific discoveries. -/- Among these questions are the following: What are the preconditions for making scientific (...) discoveries? What is it that we (have to) do when we make discoveries in science? What are the objects of scientific discoveries, how do we name them, and how do scientific names function? Do discoveries in, say, physics and biology, share an underlying structure, or do they differ from each other in crucial ways? Are other fields such as theology and environmental studies loci of scientific discovery? What is the purpose of making scientific discoveries? Explaining nature or reality? Increasing scientific knowledge? Finding new truths? If so, how can we account for instructive blunders and serendipities in science? -/- In the light of the above, the following is an encompassing question of the book: What does it mean to make a discovery in science, and how can scientific discoveries be distinguished from non-scientific discoveries? (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)

Inter- and transdisciplinary research arise as necessary conditions to address societal problems. These collaborations, by definition, encompass experts from distinct domains, demanding an epistemic dependence between researchers. In such cases where, additionally, an epistemic asymmetry exists, this might then lead to tensions and enhance epistemic disagreements. How should scholars behave when in peer disagreement? On the one hand, in philosophical literature on the epistemology of disagreement, normative accounts about how one should respond when facing an epistemic disagreement are usually built (...) upon hypothetical scenarios that do not portray real-life disagreements in scientific settings. On the other hand, Science and Technology Studies (STS) research that deals with academic and scientific disagreement typically uses a descriptive, empirical approach. We argue that before a normative account of responses to disagreement is developed, we need to understand how academic disagreement actually takes place in real interdisciplinary scientific practice. In this chapter, we address a case of academic disagreement within an interdisciplinary research team in Brazil during their development of a framework for transdisciplinary collaboration. Data was collected with ethnographic tools, while the analytic perspective of the investigation is grounded on recent debates about research groups in social epistemology and in the epistemology of disagreement. We will show that an interplay between trust and disagreement is required for dealing with inter- and transdisciplinary research practices. We hold that shedding light on disagreements and communications between collaborators may improve the epistemic performance of collaborative research teams by refining the dynamics of inter- and transdisciplinary investigations. (shrink)

Ce livre est un livre d’épistémologie de la sociologie. L’objectif est d’appliquer des méthodes analytiques pour clarifier le vocabulaire, expliciter des relations non-apparentes entre concepts, dégager la portée d’une méthode, ou souligner les incohérences d’un programme de recherche. Les questions épineuses ne sont pas écartéees: Comment clarifier des notions confuses? Peut-on mathématiser les concepts sociologiques? Peut-on pratiquer la sociologie comme on pratique les sciences naturelles? Quelle est la place du déterminisme? Chaque question est examinée à la fois dans sa structure (...) logique et sur des cas concrets. La mathématisation est étudiée sur les mécanismes agrégatifs et sur les modèles de diffusion des innovations. La sociologie expérimentale – généralement méconnue dans la sociologie française – est étudiée sur des programmes de relogement, la diffusion de l’information, ou la genèse de la solidarité sociale. Le livre aborde frontalement la question du déterminisme, du naturalisme, du matérialisme et du scientisme, réputés intenables en sociologie. L’enquête montre que leur rejet résulte généralement de confusions conceptuelles. Une fois écartées, peu d’obstacles s’opposent à leur emploi en sociologie. L’objet de ce livre est la sociologie fondamentale: ensemble des mécanismes qui structurent la production des connaissances sociologiques de base à partir de concepts, programmes ou principes, c’est-à-dire tout ce qui ne relève pas de l’expérience immédiate du terrain et des mondes sociaux. (shrink)

The history of the philosophy of thought experiments has touched on the work of Kuhn, Popper, Duhem, Mach, Lakatos, and other big names of the 20th century, but so far, almost nothing has been written about Paul Feyerabend. His most influential work was Against Method, 8 chapters of which concern a case study of Galileo with a specific focus on Galileo’s thought experiments. In addition, the later Feyerabend was very interested in what might be called the epistemology of drama, including (...) stories and myths. This paper brings these different aspects of Feyerabend’s work together in an attempt to present what might have been his considered views on scientific thought experiments. I conclude by contrasting Feyerabend’s ideas with two modern currents in the debate surrounding thought experiments: 1) the claim that the epistemology of thought experiments is just the epistemology of deductive or inductive arguments, and 2) the claim that the specifically narrative quality of thought experiments must be taken into account if we want a complete epistemology of thought experiments. (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)

In order to gain a better understanding of the impact and circulation of the first edition of the Principia, we offer an analysis of public perceptions in Britain of Isaac Newton’s approach to physical inquiry in the Principia between the appearance of its first and second editions, in 1687 and 1713, respectively. We treat Newton’s readers as actors with distinctive scholarly backgrounds and interests rather than as followers or popularisers of a “Newtonian philosophy,” a label we find to be largely (...) absent in the historical record before 1713, when it was purposefully used by Roger Cotes in his preface to the second edition of the Principia. Through our survey, we gain considerable insight into how Newton’s readers characterised the Principia and its author. We establish that British readers of the first edition of the Principia ascribed a relatively stable and interrelated number of characteristics to Newton’s natural philosophical approach, although different readers emphasised different things. We also show that the most detailed accounts of Newton’s natural philosophical approach were, not surprisingly, given in polemical contexts. We find that it is only at the very end of this period, and in polemical contexts, that the notion of a “Newtonian philosophy” with a specific and pathbreaking approach to physical inquiry arose. (shrink)

This article explains Kant’s claim that sciences must take, at least as their ideal, the form of a ‘system’. I argue that Kant’s notion of systematicity can be understood against the background of de Jong & Betti’s Classical Model of Science (2010) and the writings of Georg Friedrich Meier and Johann Heinrich Lambert. According to my interpretation, Meier, Lambert, and Kant accepted an axiomatic idea of science, articulated by the Classical Model, which elucidates their conceptions of systematicity. I show that (...) Kant’s critique of the mathematical method is compatible with his adherence to this axiomatic conception of science. I further show that systematicity furthers traditionally accepted logical ideals of scientific knowledge, which explains why Meier and Kant think that sciences must be ‘systematic’. (shrink)

ABSTRACTMany have argued that there is no room for experiments in Aristotle's natural science: experiments intervene in nature, but Aristotle holds that we must simply observe nature; if we intervened, the result would be something artificial or contrary to nature. Against this, I argue that Aristotle not only performed experiments, but also holds that there is much about nature that can be discovered experimentally.RÉSUMÉBeaucoup ont soutenu qu'il n'y a pas de place pour des expériences scientifiques dans les sciences naturelles d'Aristote (...) : les expériences interviennent dans la nature, mais Aristote soutient que nous devons simplement observer la nature; si nous intervenions, le résultat serait quelque chose d'artificiel ou contraire à la nature. Contre cela, je soutiens qu'Aristote a non seulement effectué des expériences scientifiques, mais a également maintenu qu'il y a beaucoup de connaissances sur la nature qui peuvent être découvertes expérimentalement. (shrink)