Scientific Method

Theory has a central place in the traditional accounts of scientific practice. It’s less clear, however, what role theory has, and should have, in contemporary neuroscience. John Bickle argues that we should appreciate the central role that the development and use of experiment tools have in neuroscientific practice and the notable lack of an apparent need for theory. Call this the tools first method. I use two cases to assess Bickle’s assertion that the tools first method is always used in (...) neuroscience. In the first—the use of gene targeting to investigate the relationship between memory and long-term potentiation—a well-defined theory did have a prominent role. In contrast, the second case, an optogenetic investigation of neurons in the extended amygdala, illustrates the application of Bickle’s tools first method. -/- The takeaway, then, is twofold. Although sometimes theory has a role, there are productive investigations in neurobiology that proceed without a theory as the starting point. This is, in part, a consequence of experiment tools that allow for ever more precise investigations of cellular and molecular processes. It is also a consequence of the explanatory goals in neurobiology, namely, the description of mechanisms. When these two consequences come together, there is no longer an apparent need for theories of the sort traditionally taken to be central to scientific practice. (shrink)

In recent years, the question of the reliability of Machine Learning (ML) methods has acquired significant importance, and the analysis of the associated uncertainties has motivated a growing amount of research. However, most of these studies have applied standard error analysis to ML models—and in particular Deep Neural Network (DNN) models—which represent a rather significant departure from standard scientific modelling. It is therefore necessary to integrate the standard error analysis with a deeper epistemological analysis of the possible differences between DNN (...) models and standard scientific modelling and the possible implications of these differences in the assessment of reliability. This article offers several contributions. First, it emphasises the ubiquitous role of model assumptions (both in ML and traditional science) against the illusion of theory-free science. Secondly, model assumptions are analysed from the point of view of their (epistemic) complexity, which is shown to be language-independent. It is argued that the high epistemic complexity of DNN models hinders the estimate of their reliability and also their prospect of long term progress. Some potential ways forward are suggested. Thirdly, this article identifies the close relation between a model’s epistemic complexity and its interpretability, as introduced in the context of responsible AI. This clarifies in which sense—and to what extent—the lack of understanding of a model (black-box problem) impacts its interpretability in a way that is independent of individual skills. It also clarifies how interpretability is a precondition for a plausible assessment of the reliability of any model, which cannot be based on statistical analysis alone. This article focuses on the comparison between traditional scientific models and DNN models. However, Random Forest (RF) and Logistic Regression (LR) models are also briefly considered. (shrink)

Although few linguists currently embrace the empirical paradigm, there are increasing calls for the development of tools for studying language that resemble those in exact sciences. This trend can be observed even in top mainstream linguistic journals, such as the Journal of Pragmatics, as exemplified by Xiang (2017). Today, however, linguists who adapt the methodologies from more advanced sciences face isolation from the mainstream linguistic community. This is because the majority of linguists in philological and philosophical departments remain convinced that (...) the object of their studies is fundamentally different from those studied by physicists. Therefore, they argue that linguistic methodology cannot resemble that used in empirical sciences. As a result, linguistics is often seen as requiring interpretation rather than an explanation, and evaluation of linguistic research is based on acceptance within the scholarly community rather than empirical testing. (shrink)

In this transdisciplinary investigation, we focus on the invention and development of gunpowder. We aim to answer the questions regarding (1) the inspiration behind the invention, including historical, mythological, and intellectual backgrounds, (2) how it came about in concreto, and (3) its impact on the history of science in China. We argue that the invention has to be viewed in a broader context and that various factors come into play with regard to the above questions. The discussion starts by examining (...) the preconditions of the invention of gunpowder in ancient Chinese mythology, natural philosophy, and the idea of life extension. After that, the invention, its direct contexts, and historical developments during the first millennium CE are investigated. To complement the former analysis of historical worldviews, the modern perspective of chemistry is applied in this context. From the angle of the additional question of “open individuals,” namely as agents of progress, this is also taken into consideration from the perspective of personality analysis. Finally, we investigate how the development of scientific understanding was embedded in the innovative philosophical developments of Song dynasty Neo-Confucianism. In our view, the early Chinese gunpowder research exemplifies the preceding and contemporary development of the scientific stratum that is part of the concept of the “investigation of things” (gewu) in the sense of the teachings of Zhu Xi (1130–1200). (shrink)

Thomas Kuhn is widely considered as one of the most important philosophers of science in the 20th century and his The Structure of Scientific Revolutions is regarded as one of the most influential works in the philosophy of science. This book not only revisits his legacy in the history and philosophy of science but also explores and reflects on the prospect of the Kuhnian philosophy. Moreover, it includes the edited text of Kuhn’s ‘Does Knowledge Grow?’, which was never published before. (...) Comprised of 15 newly written chapters by leading Kuhn scholars and philosophers of science across the globe from ten countries, this book is of great interest to researchers and advanced students, but also to general readers. (shrink)

By focusing on the nineteenth-century debate between William Whewell and Augustus De Morgan on the nature and scope of scientific method and induction, this article captures an important episode in the history of Baconianism. More specifically, it sheds new light on the social and intellectual construction of Francis Bacon as an emblem of modern science and on British Baconianism as part of the creation of a vision of the modern enterprise. A critic of Whewell’s renovated Baconianism and an advocate of (...) an alternative anti-Baconian (or pro-Newtonian) view of science, De Morgan is presented for the first time as a philosopher of science (or metascientist), one who pioneered the application of probability theory to scientific reasoning. (shrink)

Basal cognition investigates cognition working upward from nonneuronal organisms. Because basal cognition is committed to empirically testable hypotheses, a methodological challenge arises: how can experiments avoid using zoocentric assumptions that ignore the ecological contexts that might elicit cognitively driven behavior in nonneuronal organisms? To meet this challenge, I articulate the principle of dynamic holism (PDH), a methodological principle for guiding research on nonneuronal cognition. I describe PDH’s relation to holistic research programs in human-focused cognitive science and psychology then present an (...) argument from analogy based on holistic developmental biology. Last, I examine two experiments exemplifying the need for PDH. (shrink)

This chapter focuses on the experimental practices and reasoning strategies employed in nineteenth century investigations on the causal origin of the phenomenon of Brownian movement. It argues that there was an extensive and sophisticated experimental work done on the phenomenon throughout the nineteenth century. Investigators followed as rigorously as possible the methodological standards of their time to make causal claims and advance causal explanations of Brownian movement. Two major methodological strategies were employed. The first was the experimental strategy of varying (...) the circumstances. Suspected causal factors were varied and the resulting effect on Brownian movement was studied. The main goal of this strategy was the identification of difference-making factors, i.e., factors having a causal influence on the phenomenon. The second was the so-called method of hypothesis. Rather than relying exclusively on the ability of experiments to identify difference-making factors, its proponents tried to show how the independently developed tenets of the new kinetic-molecular conception of matter provided a plausible causal explanation of Brownian movement. Each one of these methodological strategies had its distinctive practices and notions of control. None of these strategies could, on its own, establish molecular motion as the cause of Brownian movement. It was only the fruitful combination of the two strategies and of their accompanying practices and notions of control that led, at the end of the nineteenth century, to the recognition of molecular motion as the most probable cause of Brownian movement. (shrink)

I present and evaluate three interpretations of methodological naturalism (MN), the principle that scientific explanations may only appeal to natural phenomena: as an essential feature of science, as a provisional guideline grounded in the historical failure of supernatural hypotheses, and as a synthesis of these two approaches. In doing so, I provide both a synoptic overview of current scholarship on MN, as well a contribution to that discussion by arguing in favor of a restricted version of MN, placing it on (...) a firmer theoretical foundation than that supplied by previous studies, and replying to recent objections. (shrink)

Монографія розкриває нове вирішення важливого науково-прикладного завдання, що полягає у поглибленні існуючих, розробленні й обґрунтуванні нових науково-методичних положень управління стратегічними можливостями машинобудівних підприємств на основі комплексного діагностування стратегічних можливостей, врахування ступеня загрози кризового стану, обґрунтування пріоритетності їх використання в процесі реалізації стратегії розвитку машинобудівних підприємств. Здійснено теоретико-методичне обґрунтування стратегічних можливостей підприємства та розкрито концептуальні засади управління ними. Досліджено стратегічні можливості машинобудівних підприємств України та стан управління ними. Розроблено напрямки удосконалення підходів в управлінні стратегічними можливостями машинобудівних підприємств. Видання розраховане на наукових (...) працівників, викладачів вищих навчальних закладів, спеціалістів у сфері економіки та управління підприємствами. (shrink)

Ce chapitre se propose d’examiner les questions suivantes : Peut-on pratiquer l’expérimentation en sociologie comme dans les autres sciences ? Y présente-t-elle des difficultés particulières ? Si oui, lesquelles ? Bien qu’à première vue, ces questions paraissent bien circonscrites et plutôt de portée limitée, les réponses qu’on peut leur apporter éclairent significativement certaines questions de fond comme celle de l’unité et de la diversité des sciences, et du statut épistémologique particulier de la sociologie.

I submit that, in order to fulfill its fundamental aspiration to be a science, sociology must reconnect – beyond classical sociologists – with the authors of prior generations who prepared its emergence. They are Condorcet, Laplace, Poisson, Arago, Quetelet and Verhulst, all of whom predate the creation of the word “sociology” by Auguste Comte. I show that these authors had a scientific project for sociology, and that in its embryonic stage this science has been silenced by the official sociology established (...) by Auguste Comte and his successors. This chapter reviews the ideas of these authors, revisits the aversion of the founder of sociology to his predecessors, and tries to draw consequences for the pursuit and further development of scientific sociology. (shrink)

Cet article se propose de contribuer au débat sur les méthodes de la sociologie des sciences à partir d’une étude empirique des déterminations de la vitesse de la lumière réalisées entre 1676 et 1983. Loin d’être construites et déconstruites à volonté, les valeurs de c ont subi un processus de révision tendanciellement unidirectionnel et irréversible. Les méthodes de détermination de c sont restées dans la course seulement quand elles étaient assorties d’une incertitude inférieure ou égale à la meilleure valeur connue. (...) L’étude des «entrées» et «sorties» des méthodes sur le front de recherche met en évidence la nature de la compétition scientifique, forme d’«émulation redistributrice» différente de la rivalité politique ou de la concurrence économique. En parvenant à des résultats différents du constructivisme sur les thèmes de l’inscription littéraire, des jeux de construction/déconstruction, de la négociation et de la persuasion, l’article esquisse une sociologie internaliste des sciences, qui se donne pour objet d’étudier les aspects qui caractérisent la science en tant que science. (shrink)

El cientificismo (scientisme) se ha convertido actualmente en una lacra o un insulto. Nuestra tendencia espontánea es la de apartarnos para evitar ser insultados. Pero es evidente que el cientificismo es atacado a menudo por confundir el conocimiento científico y su uso tecnológico; entre modo de producción de los conocimientos y conocimientos adquiridos, etc. Si se adopta una definición rigurosa del cientificismo como esta: “El cientificismo es la tesis según la cual la mejor manera de conocer el mundo real es (...) conocerlo empleando métodos científicos”, no está claro qué reproches podría sufrir, salvo por parte de los seguidores de la astrología, las flores de Bach o la logorrea posmoderna. (shrink)

Scientists aim to remediate artifacts in their experimental datasets. However, the remediation of one artifact can result in another. Why might this happen, and what does this consequence tell us about how we should account for artifacts and their control? In this paper, I explore a case in functional neuroimaging where remediation appears to have caused this problem. I argue that remediation amounts to a change to an experimental arrangement. These changes need not be surgical, and the arrangement need not (...) satisfy the criterion of causal modularity. Thus, remediation can affect more than just the factor responsible for the artifact. However, if researchers can determine the consequences of their remediation, they can make adjustments that control for the present artifact as well as for previously controlled ones. Current philosophical accounts of artifacts and the factors responsible for them cannot adequately address this issue, as they do not account for what is needed for artifact remediation (and specifically correction). I support my argument by paralleling it with ongoing concerns regarding the transparency of complex computational systems, as near future remediation across the experimental life sciences will likely make greater use of AI tools to correct for artifacts. (shrink)

“Astrobiology as science” refers to how astrobiology is characterized and discussed in the philosophy of science.

Transdisciplinary research knits together knowledge from diverse epistemic communities in addressing social-environmental challenges, such as biodiversity loss, climate crises, food insecurity, and public health. This paper reflects on the roles of philosophy of science in transdisciplinary research while focusing on Indigenous and other subaltern forms of knowledge. We offer a critical assessment of demarcationist approaches in philosophy of science and outline a constructive alternative of transdisciplinary philosophy of science. While a demarcationist focus obscures the complex relations between epistemic communities, transdisciplinary (...) philosophy of science provides resources for meeting epistemic and political challenges of collaborative knowledge production. (shrink)

Modern sciences produce knowledge and findings which improve technological advance and our quality of life in every regard. But do the sciences also provide us with a genuine knowledge about the world in the sense of giving us insights into that which is taking place? This book traces the most important approaches, which have in past decades attempted to make intelligible the contemporary forms of scientific research and progress. The book suggests a new approach for a philosophy of science fit (...) for the 21st century. This new approach brings together and unites the various competing trends, from the philosophy of science to the sociology of science. Based on the findings the book discusses whether the sciences do in fact follow 'scientific' methods in order to reach their successes and whether what they produce can be considered 'knowledge' for us as individuals and for society at large. The discussion also asks whether philosophy itself is a science that produces knowledge"--Page 4. (shrink)

Neste trabalho abordamos a obra de Francis Bacon e as suas contribuições para a Filosofia da Ciência, incluindo a sua proposta de método científico e o seu posicionamento crítico face à anterior versão aristotélica e a influência que o pensamento baconiano exerceu na promoção de um novo quadro filosófico para o desenvolvimento científico na modernidade. Este trabalho foi realizado no âmbito da disciplina de Filosofia das Ciências I, parte do curso de Filosofia da Faculdade de Letras da Universidade do Porto, (...) Portugal. (shrink)

This paper argues that the proponents of epistemological scientism must take some stand on scientific methodology. The supporters of scientism cannot simply defer to the social organisation of science because the social processes themselves must meet some methodological criteria. Among such criteria is epistemic evaluability, which demands intersubjective access to reasons. We derive twelve theses outlining some implications of epistemic evaluability. Evaluability can support weak and broad variants of epistemological scientism, which state that sciences, broadly construed, are the best sources (...) of knowledge or some other epistemic goods. Since humanities and social sciences produce epistemically evaluable results, narrow types of scientism that take only natural sciences as sources of knowledge require additional argumentation in their support. Strong scientism, which takes sciences as the only source of knowledge, also needs to appeal to some further principles since evaluability is not an all-or-nothing affair. (shrink)

Philosophers of science often suggest that the key feature of scientific research is striving for objectivity and that we should evaluate scientific practice by whether it is objective or not. In this paper, we will analyze several definitions of scientific objectivity to illustrate the complex meaning of this term and examine its role in evaluating scientific practice. First, we will introduce Lorraine Daston and Peter Galison's standpoint concerning the historical connection between the genesis and development of scientific objectivity and the (...) practices of visual representation in the research practice of the 19th and 20th centuries. We will accomplish that by outlining the process of establishing scientific objectivity as an epistemic virtue and a vital feature of the "scientific self ". Subsequently, using Heather Douglas and Mar-ianne Janack's conceptual analysis of scientific objectivity, we will show that scientific objectivity is characterized by an "irreducibility of meaning" and an "endemic instability" caused by the overuse of metaphors in defining this concept. In the final section, in light of contemporary problems such as the crisis of reproducibility, we examine to what extent philosophical definitions help test the objectivity of scientific practice and point to an intriguing attempt to define "objectivity for the research worker" using the model proposed by Noah van Dongen and Michał Sikorski. (shrink)

Ever since its inception, the theory of evolution has been reified into an “-ism”: Darwinism. While biologists today tend to shy away from the term in their research, the term is still actively used in the broader academic and societal contexts. What exactly is Darwinism, and how precisely are its various uses and abuses related to the scientific theory of evolution? Some call for limiting the meaning of the term “Darwinism” to its scientific context; others call for its abolition; yet (...) others claim the term refers to a myth-like story. In this paper we propose a conceptually grounded overview of the term. We show how the scientific dimension of Darwinism feeds into, and is influenced by, guises of Darwinism as a methodology and as an ethically and politically charged “worldview”. The full meaning of Darwinism, as well as how this meaning has changed over time, can only be understood through the complex interaction between these three dimensions. (shrink)

This article revisits Karl Popper’s falsificationist methodology with respect to three tasks. The first is to illuminate and systematize Popper’s methodological views in light of his core epistemological commitments. A second and related objective is to gauge which aspects of falsificationism should be identified as “conventionalist”—a label that Popper himself uses (albeit with qualifications) but that is compromised by and, thus, stands in need of elucidation because of Popper’s idiosyncratic understanding of conventionalism. Third, by elaborating Popper’s virtue-epistemological, dialogical model of (...) rationality, I show how Popper’s conventionalism, fallibilism, and critical rationalism form a coherent system. This system allows Popper to accord science the status of a privileged source of knowledge—without naïve appeal to authority. My systematization of Popper’s views yields an intrinsically and exegetically more satisfactory reading of Popper’s falsificationism than usual presentations. Thanks to its marked flexibility and methodological liberalism, it bypasses many standard objections but still offers sound and relevant methodological advice. With its “virtue-methodological” thrust, Popper sketches an original and promising approach to methodology, the fertility of which deserves further exploration for contemporary debates. (shrink)

General Morphological Analysis (GMA) is a computer-aided, non-quantified modelling method employing (discrete) category variables for identifying and investigating the total set of possible relationships contained in a given problem complex. The epistemological principle underlying discrete variable morphological modelling is that of decomposing a complex (multivariate) concept into a number of(“simple”) one dimensional concepts (i.e. category variables), the domains of which can then be recombined and recomposed in order to discover all of the other possible (multidimensional) concepts which can be generated (...) combinatorically. (shrink)

Thales is considered to be the first philosopher to pose a question about fundamental principles on which everything else relied. His candidate for ἀρχή was water because he believed that everything comes from water and that the remaining three elements can also be created from water. Alchemists, or the first chemists, relied on the ancient tradition, especially Aristotle and the theory of the four elements. That is how they came to Aristotle’s testimonies about Thales, after which alchemists, like Helmont, accepted (...) Thales’ idea that water is the basis of everything that exists. Alchemists were characterized by a tendency to experiment, not only because they tried to turn other metals into gold but also because they tried to devise medical solutions that would prevent the appearance of various diseases. Due to their rich experimental experience, alchemists have been a convenient target for “new philosophers” since the early seventeenth century. Robert Boyle belonged to that circle because he was a supporter of corpuscular theory. In this paper, I will present Boyle‘s attempt to replicate alchemical experiments, especially Helmont’s experiment with the willow tree and Bacon‘s experiment with water. After that, I will show whether Boyle’s interest in the experimental procedures of alchemists contributed more to the development of modern science than his mechanistic philosophy. (shrink)

Recently, the distinction between nature and technology has been increasingly questioned. We are told that the changes to nature made possible by technology had reached such dimensions that it was no longer possible to clearly differentiate between nature and technology. Against the critical voices, I argue for the possibility and necessity of applying a version of the distinction that I call “classical”. I begin by examining selected historical origins of this distinction and thereby discussing some of its critics debated today (...) – namely Hans Blumenberg, Bruno Latour, Donna Haraway and Philippe Descola. In the next section, I introduce a concept of hybrid of nature and technology, which is suitable for delimiting and differentiating the scope of the classical distinction. I also need the concept of hybrid in order to assess the current tendencies in the development of the nature-technology relation, which are the subject of the last section. Against the background of these tendencies, I conclude by compiling some arguments in favour of maintaining the classical distinction between nature and technology. (shrink)

Jag tror att det är ett misstag att kräva av humanvetenskaperna (d.v.s. humaniora, samhälls- och beteendevetenskaperna) att de imiterar naturvetenskapernas forskningsmetodik. Humanvetenskaperna studerar meningsfulla fenomen vilkas natur är på ett grundläggande sätt annorlunda än de blott fysiska fenomen som naturvetenskapen studerar. Den största skillnaden är att meningsfulla fenomen inte uppenbarligen är lagbundna på samma sätt som fysiska fenomen och uppvisar därför inte samma regelbundenhet och förutsägbarhet som fysiska fenomen. För att studera meningsfulla fenomen krävs därför andra forskningsmetoder. Trots att humanvetenskaperna (...) studerar fenomen som inte är lagbundna och är på ett visst sätt subjektiva, så vill jag mena att de studerar objektivt verkliga fenomen och kan få giltig kunskap om dem. Att subjektiva fenomen också kan vara objektivt verkliga kan låta märkligt för vissa läsare, varför jag rundar av med en diskussion om vad det egentligen innebär för något att vara objektivt verkligt. Enligt den definition jag föreslår så framstår att meningsfulla fenomen, också de som kallas ”sociala konstruktioner”, kan förstås som objektivt verkliga företeelser trots att de på ett betydelsefullt sätt också är subjektiva. (shrink)

This paper offers a practical argument for metaphysical emergence. The main message is that the growing reliance on so-called irrational scientific methods provides evidence that objects of science are indecomposable and as such, are better described by metaphysical emergence as opposed to the prevalent reductionistic metaphysics. I show that a potential counterargument that science will eventually reduce everything to physics has little weight given where science is heading with its current methodological trend. I substantiate my arguments by detailed examples from (...) biological engineering, but the conclusions are extendable beyond that discipline. (shrink)

Philosophers have recently focused on critical, epistemological challenges that arise from the opacity of deep neural networks. One might conclude from this literature that doing good science with opaque models is exceptionally challenging, if not impossible. Yet, this is hard to square with the recent boom in optimism for AI in science alongside a flood of recent scientific breakthroughs driven by AI methods. In this paper, I argue that the disconnect between philosophical pessimism and scientific optimism is driven by a (...) failure to examine how AI is actually used in science. I show that, in order to understand the epistemic justification for AI-powered breakthroughs, philosophers must examine the role played by deep learning as part of a wider process of discovery. The philosophical distinction between the 'context of discovery' and the 'context of justification' is helpful in this regard. I demonstrate the importance of attending to this distinction with two cases drawn from the scientific literature, and show that epistemic opacity need not diminish AI's capacity to lead scientists to significant and justifiable breakthroughs. (shrink)

This is the Introduction and Chapter 1.1 of the book ‘Scientific Testimony. Its roles in science and society’ (OUP 2022). The introduction contains a brief survey of the book’s chapters and main conclusions, which I hope will be useful to the curious ones.

If one follows the accounts by philosophers of science and the discussions in scientific communities, there can be little doubt that failure is an essential part of scientific practice. It is essential both in the sense of being integral to scientific practice and of being necessary for its overall success. Researchers who create new scientific knowledge face uncertainties about the nature of the problem they are trying to solve, the existence of a solution to that problem, the way in which (...) a solution can be found, and their ability to find such a solution (Gläser, 2007, 247). The existence of these uncertainties means, in turn, that each research process carries the risk of failure. (shrink)

The debate concerning the scientific or unscientific status of the social sciences and the question of the (in) applicability of the methods of research in the natural sciences to social investigations are still unsettled in Philosophy of the Social Sciences. Some of the questions which are often asked concerning these issues include: are the social sciences really scientific? Do they merit the name science? Can we apply the same methods used in the natural research to social research? Are the objects (...) of inquiry in both areas the same? Attempts to answer these questions and numerous related others, have polarized Philosophers of the social sciences into two different ideological camps. Those who answer the questions affirmatively are regarded as the naturalists while those who answer negatively are regarded as the anti-naturalists or humanists. However, using the methods of critical argumentation and conceptual clarification, we intend to argue in this paper for a complementary ground between the two. Consequently, we contend that though the methods of the natural and the social sciences are different due to the fact that their respective objects of investigations are not the same, methods of the two fields are imperative to inquiries that would promote human knowledge and aid their intellectual development. This is necessary in order to foster interdisciplinary research and de-compartmentalisation of disciplines. We also intend to argue that the view that the social sciences are not scientific arose from a narrow conception of the term “science.” Our submission, therefore, is that the social sciences, legitimately, are sciences in their own right. (shrink)

Philosophers of science are divided over the interpretations of scientific normativity. Larry Laudan defends a sort of goal-directed rules for scientific methodology. In contrast, Gerard Doppelt thinks methodological rules are a mixed batch of rules in that some are goal-oriented hypothetical rules and others are goal-independent categorical rules. David Resnik thinks that the debate between them is at a standstill now. He further thinks there are certain rules, such as the rule of consistency which is goal independent. However, he proposes (...) a holistic understanding of the scientific methodology. Taking a thread from Resnik, the present paper also advocates a holistic understanding of the scientific methodology. Given that many scientific practices deal with systems, the focus will be given to the systems by assuming each as a constellation of methodological norms. By taking each system as a set of mutually supportive methodological rules whose instrumental values underwrite the coherence relation among them, the paper aims to provide what could be a viable holistic epistemological account that can explain scientific normativity at work in a scientific system. The paper will lay down specific holistic criteria for understanding the scientific methodology. They will be used to show how a holistic account could satisfactorily account for the success of the Compact Muon Solenoid (CMS) experiment in discovering the Higgs boson and how the holistic account can account for the instrumental error behind the apparent faster-than-light neutrino anomaly of the Oscillation Project with Emulsion-t Racking Apparatus (OPERA) experiments respectively. (shrink)

Likelihoodism is the view that the degree of evidential support should be analysed and measured in terms of likelihoods alone. The paper considers and responds to a popular criticism that a likelihoodist framework is too restrictive to guide belief. First, I show that the most detailed and rigorous version of this criticism, as put forward by Gandenberger (2016), is unsuccessful. Second, I provide a positive argument that a broadly likelihoodist framework can accommodate guidance for comparative belief, even when objectively well-grounded (...) prior probabilities are not available. As I show, the shift from non-relational to comparative probabilities opens up a new space for addressing the belief guidance problem for likelihoodism. (shrink)

What is risk? How do we assess risk? What are the ethical implications of risk? The concept of risk is important – sometimes even crucial – for many philosophical domains, from philosophy of science and technology to ethics and sustainability. Philosophy and Science of Risk is a clear, wide-ranging introduction to this urgent and fast-growing subject. It covers the following key topics: -/- • The philosophical and historical background to understanding and interpreting risk -/- • The meaning of risk and (...) how it differs from closely related concepts, such as uncertainty or dangers -/- • The social construction of risk -/- • Risk perception and risk as an object of scientific study -/- • The measurement of risk, its probability and severity -/- • Risk and scientific modeling -/- • Risk, value judgments, and expertise -/- • Risk management, including cost-benefit analysis and the precautionary approach -/- • Risk communication, including deliberative models -/- • Ethics of risk, including duties toward nonhuman animals and future generations -/- • Risk and sustainability -/- • Decision-making under risk -/- Including helpful additional features such as text boxes, chapter summaries, review, and discussion questions, Philosophy and Science of Risk: An Introduction is an ideal textbook for students of the philosophy of risk. It is also suitable for students studying the conceptual questions surrounding risk in related subjects, such as sociology, psychology, economics, politics, geography, sustainability, and environmental studies. (shrink)

With the approval and dissemination of CHED Memorandum Order Number 15, Series of 2019 in the Philippines, graduate students both in the Master of Science/Master of Arts Academic Track and Doctor of Philosophy Academic Track/Doctor of Philosophy by Research are now compelled to publish or, at least, show evidence of acceptance of research studies in refereed journals, or nationally or internationally indexed journals. Coriat (2019) claims that the value of research to society and its relationship to wealth and competitiveness has (...) long been established. But then, developing countries’ embrace, as in the case of the Philippines, of international publishing standards has received little attention (Vuong, 2019). As a result, publication pollution is growing by the day since developing-country writers including Filipino researchers lack expertise and mentoring (Jawaid, 2016). Thereupon, this policy review brings to the fore various deterrents in the fruition of students’ publications, pertinent questions than can stir waves of reflection among readers, professors, and administrators, to name a few, and mentorship as the saving grace for the emerging problems. Mentorship in this article means that the mentor and the mentee work hand in hand from research ideation to research presentation or publication. (shrink)

Attempts to show that the simplicity of a hypothesis can be measured by attending to how well it answers certain kinds of questions.

Reflections on the Practice of Physics has two admirable aims: on one hand, to contribute to a comprehensive historical understanding of Maxwell’s approach to physical inquiry; on the other, to extract philosophical lessons from the story of Maxwell’s astounding scientific breakthroughs. In line with an established tradition in scholarship (for example, Achinstein [1991]; Siegel [1991]; Harman [1998]), the authors defend the view that the method of ‘physical analogy’ that Maxwell first presented in the introductory section of his ‘On Faraday’s Lines (...) of Force’, and continued to invoke throughout his later physical works, was in fact many different methods. The authors deserve praise for bringing new life to the narration of Maxwell’s alleged twists in methodology, merging historical and philosophical perspectives to defend it. In this review, I elaborate on some of the book’s main strengths and weaknesses, in the spirit of pursuing a constructive critical discussion. (shrink)

Scientists who engage in science and the scientific endeavor should seek truth with conviction of morals and commitment to ethics. While the number of publications continues to increase, the number of retractions has increased at a faster rate. Journals publish fraudulent research papers despite claims of peer review and adherence to publishing ethics. Nevertheless, appropriate ethical peer review will remain a gatekeeper when selecting research manuscripts in scholarly publishing and approving research applications for grant funding. However, this peer review must (...) become more open, fair, transparent, equitable, and just with new recommendations and guidelines for reproducible and accountable reviews that support and promote fair citation and citational justice. We should engineer this new peer-review process with modern informatics technology and information science to provide and defend better safeguards for truth and integrity, to clarify and maintain the provenance of information and ideas, and to rebuild and restore trust in scholarly research institutions. Indeed, this new approach will be necessary in the current post-truth era to counter the ease and speed with which mis-information, dis-information, anti-information, caco-information, and mal-information spread through the internet, web, news, and social media. The most important question for application of new peer-review methods to these information wars should be ‘Who does what when?’ in support of reproducible and accountable reviews. Who refers to the authors, reviewers, editors, and publishers as participants in the review process. What refers to disclosure of the participants' identities, the material content of author manuscripts and reviewer commentaries, and other communications between authors and reviewers. When refers to tracking the sequential points in time for which disclosure of whose identity, which content, and which communication at which step of the peer-review process for which audience of readers and reviewers. We believe that quality peer review, and peer review of peer review, must be motivated and maintained by elevating their status and prestige to an art and a science. Both peer review itself and peer review analyses of peer reviews should be incentivised by publishing peer reviews as citable references separately from the research report reviewed while crossreferenced and crosslinked to the report reviewed. (shrink)

Machine learning operates at the intersection of statistics and computer science. This raises the question as to its underlying methodology. While much emphasis has been put on the close link between the process of learning from data and induction, the falsificationist component of machine learning has received minor attention. In this paper, we argue that the idea of falsification is central to the methodology of machine learning. It is commonly thought that machine learning algorithms infer general prediction rules from past (...) observations. This is akin to a statistical procedure by which estimates are obtained from a sample of data. But machine learning algorithms can also be described as choosing one prediction rule from an entire class of functions. In particular, the algorithm that determines the weights of an artificial neural network operates by empirical risk minimization and rejects prediction rules that lack empirical adequacy. It also exhibits a behavior of implicit regularization that pushes hypothesis choice toward simpler prediction rules. We argue that taking both aspects together gives rise to a falsificationist account of artificial neural networks. (shrink)

A commissioned 3-volume (800 pages) in-depth introduction to the philosophy of science, peer-reviewed by 11 specialists. (In Hebrew).

According to a widely held view, scientific modelling consists in entertaining a set of model descriptions that specify a model. Rather than studying the phenomenon of interest directly, scientists investigate the phenomenon indirectly via a model in the hope of learning about some of the phenomenon’s features. I call this view the description-driven modelling (DDM) account. I argue that although an accurate description of much of scientific research, the DDM account is found wanting as regards the mechanistic modelling found in (...) many branches of biology. By analysing research practices in cancer immunology concerning the development of mechanistic models of the process of cancer metastasis, this paper presents and argues for a complementary account of scientific modelling, herein called the experimentation-driven modelling (EDM) account. In EDM, scientists investigate a set of experimental systems and then integrate the results obtained from experiments into a mechanistic model. While EDM shares some key features with DDM, the two are epistemically very different approaches to research. (shrink)

Critical realism, championed by its proponents as the most promising post-positivist social science paradigm, has gained significant influence in the last few decades. This paper provides a critical evaluation of the critical realism movement in the hope of facilitating more fruitful dialogues between its proponents and rivalling schools of sociologists. Two concerns are raised about contemporary critical realism. First, critical realism is not the only philosophical school against positivism and not necessarily the best. Second, critical realists exaggerate the importance of (...) critical realism to social science and conflate philosophy of science with sociological theories. (shrink)