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)

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

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

The question of when to stop an unsuccessful experiment can be difficult to answer from an individual perspective. To help to guide these decisions, we turn to the social epistemology of science and investigate knowledge inquisition within a group. We focused on the expensive and lengthy experiments in high energy physics, which were suitable for citation-based analysis because of the relatively quick and reliable consensus about the importance of results in the field. In particular, we tested whether the time spent (...) on a scientific project correlates with the project output. Our results are based on data from the high energy physics laboratory Fermilab. They point out that there is an epistemic saturation point in experimenting, after which the likelihood of obtaining major results drops. With time the number of less significant publications does increase, but highly cited ones do not get published. Since many projects continue to run after the epistemic saturation point, it becomes clearer that decisions made about continuing them are not always rational. (shrink)

Experimental modeling in biology involves the use of living organisms (not necessarily so-called "model organisms") in order to model or simulate biological processes. I argue here that experimental modeling is a bona fide form of scientific modeling that plays an epistemic role that is distinct from that of ordinary biological experiments. What distinguishes them from ordinary experiments is that they use what I call "in vivo representations" where one kind of causal process is used to stand in for a (...) physically different kind of process. I discuss the advantages of this approach in the context of evolutionary biology. (shrink)

We report the results of a study that investigated the views of researchers working in seven scientific disciplines and in history and philosophy of science in regard to four hypothesized dimensions of scientific realism. Among other things, we found that natural scientists tended to express more strongly realist views than social scientists, that history and philosophy of science scholars tended to express more antirealist views than natural scientists, that van Fraassen’s characterization of scientific realism failed to cluster (...) with more standard characterizations, and that those who endorsed the pessimistic induction were no more or less likely to endorse antirealism. (shrink)

One of the more visible recent developments in philosophical methodology is the experimental philosophy movement. On its surface, the experimentalist challenge looks like a dramatic threat to the apriority of philosophy; ‘experimentalist’ is nearly antonymic with ‘aprioristic’. This appearance, I suggest, is misleading; the experimentalist critique is entirely unrelated to questions about the apriority of philosophical investigation. There are many reasons to resist the skeptical conclusions of negative experimental philosophers; but even if they are granted—even if the experimentalists are right (...) to claim that we must do much more careful laboratory work in order legitimately to be confident in our philosophical judgments— the apriority of philosophy is unimpugned. The kinds of scientific investigation that experimental philosophers argue to be necessary involve merely enabling sensory experiences. Although they are not enabling in the sense of permitting concept acquisition, they are enabling in another epistemically significant way that is also consistent with the apriority of philosophy. (shrink)

In experimental settings, scientists often “make” new things, in which case the aim is to intervene in order to produce experimental objects and processes—characterized as ‘effects’. In this discussion, I illuminate an important performative function in measurement and experimentation in general: intervention-based experimental production (IEP). I argue that even though the goal of IEP is the production of new effects, it can be informative for causal details in scientific representations. Specifically, IEP can be informative about causal relations in: (...) regularities under study; ‘intervention systems’, which are measurement/experimental systems; and new technological systems. (shrink)

A scientific perspective is a particular way of regarding something, using a scientific method. Scientific methodology is defined as a mode of research in which a problem is identified, relevant data gathered, a hypothesis formulated, and then empirically tested. Viewed from such a perspective, Guru Nanak's life was a continuous process of scientific experimentation and statement. Guru Nanak's life and writings are abundant in several such examples wherein his scientific approach to resolving several real-life (...) situations with logic and rationality is evident. (shrink)

Avicenna, beside his theoretical discussions about experimentation, practically applied his experimental method to natural sciences studies such as medicine, biology, and meteorology. His theoretical discussions subsume propositions concerning the conditions under which experimental knowledge is attained, the components of this knowledge and its functions. Some of these propositions are as follows: necessity of recurrent observations for acquiring experimental knowledge, certainty plus conditional universality of such knowledge, and its role as demonstrative premises. Investigating the application of his theory in natural (...) sciences propound two new features which were not elaborated in the theoretical discussions: fallibility of experimental knowledge and necessity of systematic observation. This research, using the analytic method and referring to both philosophical and scientific works of Avicenna, clarifies that a comprehensive definition of experimentation is dependent on considering extracted points from practical application of experimental knowledge, beside its theoretical components. (shrink)

If successful scientific inquiry is to be possible, there must be a world that is independent of how we believe it to be, and in which there are kinds and laws; and we must have the sensory apparatus to perceive particular things and events, and the capacity to represent them, to form generalized explanatory conjectures, and check how these conjectures stand up to further experience. Whether these preconditions are met is not a question the sciences can answer; it is (...) specifically philosophical. This is why the myriad forms of scientistic philosophy in vogue today (neurophilosophy, experimental philosophy, naturalized metaphysics, evangelical-atheist reductionism, etc), are all hollow at the core. Does this mean we must return to the old, a priori analytic model? No! What is needed instead is scientific philosophy in the sense Peirce articulated more than a century ago: philosophy motivated by a genuine desire to discover the truth, and relying not solely on reason but also on experience—only not the special, recherché experience required by the sciences, but close attention to aspects of everyday experience so familiar we hardly notice them. (shrink)

To demarcate the limits of experimental knowledge, we probe the limits of what might be called an experiment. By appeal to examples of scientific practice from astrophysics and analogue gravity, we demonstrate that the reliability of knowledge regarding certain phenomena gained from an experiment is not circumscribed by the manipulability or accessibility of the target phenomena. Rather, the limits of experimental knowledge are set by the extent to which strategies for what we call ‘inductive triangulation’ are available: that is, (...) the validation of the mode of inductive reasoning involved in the source-target inference via appeal to one or more distinct and independent modes of inductive reasoning. When such strategies are able to partially mitigate reasonable doubt, we can take a theory regarding the phenomena to be well supported by experiment. When such strategies are able to fully mitigate reasonable doubt, we can take a theory regarding the phenomena to be established by experiment. There are good reasons to expect the next generation of analogue experiments to provide genuine knowledge of unmanipulable and inaccessible phenomena such that the relevant theories can be understood as well supported. This article is part of a discussion meeting issue ‘The next generation of analogue gravity experiments’. (shrink)

Science is defined as systematized knowledge of any kind that reflects a precise application of facts or principles. Viewed in this light Guru Nanak's life was a continuous process of scientific experimentation and enunciation. In this article, an attempt is made to bring out the scientific temper and the application of the methodology of science in guru Nanak's life. Scientific methodology is defined as a mode of research in which a problem is identified, relevant data gathered, (...) a hypothesis formulated and then empirically tested. The hypothesis that God alone Is, is an ancient tenet, tested and verified many times in mankind's history. However, it was given to Guru Nanak to prove this truth in the modern context. (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)

Reactivity, or the phenomenon by which subjects tend to modify their behavior in virtue of their being studied upon, is often cited as one of the most important difficulties involved in social scientific experiments, and yet, there is to date a persistent conceptual muddle when dealing with the many dimensions of reactivity. This paper offers a conceptual framework for reactivity that draws on an interventionist approach to causality. The framework allows us to offer an unambiguous definition of reactivity and (...) distinguishes it from placebo effects. Further, it allows us to distinguish between benign and malignant forms of the phenomenon, depending on whether reactivity constitutes a danger to the validity of the causal inferences drawn from experimental data. (shrink)

This article outlines the gradually changing attitude towards instruments and materials in the philosophy and historiography of science and confronts contemporary revaluations of the material culture of science with Hans-Jörg Rhein- berger's concept of an experimental system and Don Ihde's notion of an epistemology engine.

Philosophers have committed sins while studying science, it is said – philosophy of science focused on physics to the detriment of biology, reconstructed idealizations of scientific episodes rather than attending to historical details, and focused on theories and concepts to the detriment of experiments. Recent generations of philosophers of science have tried to atone for these sins, and by the 1980s the exculpation was in full swing. Marcel Weber’s Philosophy of Experimental Biology is a zenith mea culpa for philosophy (...) of science: it carefully describes several historical examples from twentieth century biology to address both ‘old’ philosophical topics, like reductionism, inference, and realism, and ‘new’ topics, like discovery, models, and norms. Biology, experiments, history – at last, philosophy of science, free of sin. (shrink)

The debate about scientific realism is concerned with the relation between our scientific theories and the world. Scientific realists argue that our best theories or components of those theories correspond to the world. Anti-realists deny such a correspondence. Traditionally, this central issue in the philosophy of science has been approached by focusing on the theories themselves (e.g., by looking at theory change or the underlying experimental context). I propose a relatively unexplored way to approach this old debate. (...) In addition to focusing on the theory, we should focus on the theorizer. More precisely, in order to determine on which component of a theory we should hinge a realist commitment, we should analyze the cognitive processes underlying scientific theorizing. In this paper I do just that. Drawing from recent developments in the cognitive sciences and evolutionary epistemology, I formulate some tentative conclusions. The aim of this paper is not so much to defend a particular position in the debate on scientific realism but to showcase the value of taking a cognitive perspective in the debate. (shrink)

An important strand of current experimental philosophy promotes a new kind of methodological naturalism. This chapter argues that this new ‘metaphilosophical naturalism’ is fundamentally consistent with key tenets of Wittgenstein’s metaphilosophy, and can provide empirical foundations for therapeutic conceptions of philosophy. Metaphilosophical naturalism invites us to contribute to the resolution of philosophical problems about X by turning to scientific findings about the way we think about X – in general or when doing philosophy. This new naturalism encourages us to (...) use resources from psychology that can empirically vindicate precisely some of the most controversial aspects of Wittgenstein’s conception of philosophy: They can establish the need, and provide key tools, for something worth calling ‘therapy’, in philosophy. As ‘pudding proof’ this chapter shows how methods and findings from psycholinguistics motivate and facilitate a therapeutic approach to a characteristically philosophical problem: ‘the problem of perception’. (shrink)

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

This article outlines in details specific experiments that Galen performed. It explores how his methodology for experimentation was a sophisticated response to the rationalist-empirist debate as it occurred in ancient medicine. -/- .

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

Among all non conventional micro machining, electrochemical discharge machining ECDM is having high quality of material removal rate with zero residual stress. This machining has been accepted as a highly modern technology in micromachining. In this paper an effort has been done on micro drilling of glass using electrochemical discharge machining ECDM . A fixed tool and a step down transformer have been used to support the steady machining to increase the accuracy of work piece. The input parameters used in (...) this experiment are voltage, concentration of electrolyte, enter electrode gap and ratio of area of electrode. MRR has been investigated over the input parameters. Feed rate and electrolyte temperature has been made constant of 3µm sec and 30°c respectively. Taguchi method is used to optimize the effect of the process parameters on MRR. The signal to noise S N ratio and the ANOVA analysis are employed to find the contributions of input parameters. Vikrant Sharma | Sunil Kumar "Experimental research to Optimize Process Parameters in Machining of Non Conducting Material with hybrid non conconventional machining" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017. (shrink)

Electrochemical assisted abrasive flow finishing is a newly developed hybrid finishing process which is used to finish the internal parts of work piece having complicated geometry to large extent. In electrochemical assisted abrasive flow machining higher abrasion of the material was detected due to the combine effect of ECM and AFF processes. In Electrochemical aided abrasive flow machining a electrolyte is added to the prepared media .This media consist a kind of polymeric carrier and abrasive particles that are hydrocarbon gel, (...) Al2O3, Silicon based polymer, and NaI Sodium iodide as electrolytic salt. In this experimental research different process parameters such as voltage, abrasive concentration, Number of cycle, molal concentration and diameter of rod were considered at different levels for response characteristic of surface roughness Ra and material removal MR based on Taguchi method using standard L27 orthogonal array OA for the plan of experimentation. To determine the contribution of each parameter analysis of variance was used. Sandeep Singh | Sunil kumar "Experimental Research Work to Optimize Process Parameters into Electro Chemical Abrasive Flow Machining using Taguchi Methodology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017 . (shrink)

Abstract: This study explores some theoretical issues in scientific research such as, the nature of experimentation and problems of methodology in scientific practice as well as the question of truth, rationality, objectivity and utility of scientific discoveries. The paper discusses a number of theorizing that have emerged in response to the challenge raised by the above concerns. Epistemological models of science from critical rationalists, like Popper, Kuhn, Feyerabend and the neo-pragmatic methodological orientation of Arthur Fine’s Natural (...) Ontological Attitude (NOA) to Science, have been adopted as points of discussion on what science as an empirical discipline entail. The paper concludes that a rigorous epistemological discussion on the methodology of scientific inquiry is a desideratum for the progress of science. (shrink)

Scientific attitude represents a spirit of critical and creative inquiry. It involves the process of logical reasoning. The ability to think objectively, logically and analytically leads to the development of a scientific attitude. It is a way of looking at things, the capacity that rids an individual of all kinds of prejudice and to look at the object in its entirety and its objectivity. Having a scientific attitude consists of being willing to accept only carefully and objectively (...) verified facts. Scientific attitude is a particular way of regarding something, using a scientific method. Scientific methodology is defined as a mode of research in which a problem is identified, relevant data gathered, a hypothesis formulated and then empirically tested. Guru Nanak not only propounded a rational and logical way of life but a realistic and optimistic worldview. The teachings of Guru Nanak focus on the search for truth and spiritual knowledge, keen observation of worldly phenomena, advocacy of universal egalitarianism, exposing taboos and shams, debunking futile rituals, confronting vain practices, censuring dogmas, challenging superstitious customs and denouncing stereotypes. Viewed in this light, Guru Nanak’s life was a continuous process of scientific experimentation and statement. Guru Nanak’s life and writings are rich in several such examples wherein his scientific approach to resolve several real-life situations with logic and rationality is evident. (shrink)

In this chapter, I argue that scientific practice in the neurosciences of cognition is not conducive to the discovery of natural kinds of cognitive capacities. The “neurosciences of cognition” include cognitive neuroscience and cognitive neurobiology, two research areas that aim to understand how the brain gives rise to cognition and behavior. Some philosophers of neuroscience have claimed that explanatory progress in these research areas ultimately will result in the discovery of the underlying mechanisms of cognitive capacities. Once such mechanistic (...) understanding is achieved, cognitive capacities purportedly will be relegated into natural kind categories that correspond to real divisions in the causal structure of the world. I provide reasons here, however, in support of the claim that the neurosciences of cognition currently are not on a trajectory for discovering natural kinds. As I explain, this has to do with how mechanistic explanations of cognitive capacities are developed. Mechanistic explanations and the kinds they explain are abstract representational byproducts of the conceptual, experimental and integrative practices of neuroscientists. If these practices are not coordinated towards developing mechanistic explanations that mirror the causal structure of the world, then natural kinds of cognitive capacities will not be discovered. I provide reasons to think that such coordination is currently lacking in the neurosciences of cognition and indicate where changes in these practices appropriate to the natural kinds ideal would be required if achieving this ideal is indeed the goal. However, I suggest that an evaluation of current practices in these research areas is suggestive that discovering natural kinds of cognitive capacities is not the goal. (shrink)

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

The English Synopsis is after the text of the book. The book presents an original and generalizing substantive vision of the philosophy of science through the prism of a detailed analysis of the polysystem structure of scientific theories. Theories are considered, firstly, as complex specialized forms of developed scientific thinking about the realities studied by natural science, secondly, as constantly improving tools for producing new knowledge in interaction with experimental research, and thirdly, as carriers of ordered and verified (...) knowledge. Emphasis is placed on their nominal and ontic subsystems. The book develops personal and joint research of the authors (theoretical physicist and philosopher), the experience of teaching philosophy of physics at NaUKMA, philosophy of science at the Higher School of Philosophy at the H. Skovoroda Institute of Philosophy of the National Academy of Sciences of Ukraine and theoretical physics at the National Technical University "Ihor Sikorsky Kyiv Polytechnic Institute". The research is based on a significant source base covering works of modern Western researchers in natural science and philosophy of science. For students, teachers, and scientists who are interested in the problems of modern philosophy of science and have a certain amount of scientific knowledge. It will also be useful for high school students who are eager to become scientists. (shrink)

This is a comment on Lena Soler's 'The Incommensurability of Experimental Practices'.

The use of neuroscientific evidence in criminal trials has been steadily increasing. Despite progress made in recent decades in understanding the mechanisms of psychological and behavioral functioning, neuroscience is still in an early stage of development and its potential for influencing legal decision-making is highly contentious. Scholars disagree about whether or how neuroscientific evidence might impact prescriptions of criminal culpability, particularly in instances in which evidence of an accused’s history of mental illness or brain abnormality is offered to support a (...) plea of not criminally responsible. In the context of these debates, philosophers and legal scholars have identified numerous problems with admitting neuroscientific evidence in legal contexts. To date, however, less has been said about the challenges of evaluating the evidence upon which integrative mechanistic explanations that bring together evidence from different areas of neuroscience are based. As we explain, current criteria for evaluating such evidence to determine its admissibility in legal contexts are inadequate. Appealing to literature in the philosophy of scientific experimentation and theoretical work in the social, cognitive and behavioral sciences, we lay the groundwork for reforming these criteria and identify some of the implications of modifying them. (shrink)

Scientific methodology is defined as a mode of research in which a problem is identified, relevant data gathered, a hypothesis formulated and then empirically tested. Viewed in this light, Guru Nanak’s life was a continuous process of scientific experimentation and statement. Guru Nanak’s life and writings are rich in several such examples wherein his scientific approach to resolving several real-life situations with logic and rationality is evident.

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)

In this paper I reconstruct the birth, blossoming and decline of an eighteenth century program, namely “Moral Newtonianism”. I reconstruct the interaction, or co-existence, of different levels: positive theories, methodology, worldviews and trace the presence of scattered items of the various levels in the work of Hume, Adam Smith, Adam Ferguson, Dugald Stewart. I highlight how Mirowski’s reconstruction of the interaction between physics and economics may be extended to the eighteenth century in an interesting way once the outdated reconstruction of (...) Adam Smith that has been adopted by Mirowski is updated. I show how general methodological ideas, such as the distinction between ultimate causes or essences and intermediate principles, that originated in a context where the issue was the interaction between natural science and theology, proved useful when transferred to social theory in encouraging a kind of “experimental” approach to social phenomena. I discuss finally the genesis of frozen metaphors such as equilibrium, circulation, and value, arguing that Canguilhem’s lesson – namely that scientific change is produced not only by similarity but also by opposition – may be applied also to the history of economic thought. I take as an example Adam Smith’s ‘discovery’ of social mechanisms vis-à-vis his sceptical mistrust of neo-Stoic and Platonic views of a world-order. (shrink)

In this chapter I look at some questions around the notion of experimentation in philosophy, science, and the arts, through the thought of Gaston Bachelard and Gilles Deleuze. My argument is articulated around three areas of enquiry – Bachelard’s work on the experimental sciences, Deleuze’s notion of philosophy as an experimental practice, and recent musicological debate around the practical and political stakes of the term ‘experimental music’. By drawing together these three senses of experimentation, I test the possibilities (...) of understanding experimentation as a transdisciplinary concept and/or method. I develop a notion of experimentation as open, fluid, and non-hierarchical, but also consider points where such an idea is short-circuited by the reassertion of disciplinary closure and more top-down forms of method. My frame for discussing this question is a commonly posited distinction between the experiment and the experimental. Here the experiment is something like a controlled and closed environment in which a privileged observer tests predefined hypotheses, while the experimental concerns attempts to relinquish such control and to produce contexts in which the unknown and the unexpected can arise. By turning to Bachelard’s studies of the practice of science, I will question the common conception of a disciplinary split between the experiments of science and experimental art, showing both how such a distinction cannot be so neat and how these terms are often not easily separable. Putting this notion into conjunction with recent critical discourse on experimentation in music, namely regarding the kinds of exclusions and closures that the term ‘experimental music’ has produced, and with Deleuze’s criticisms of scientific method as well as the apparent disciplinary closure of his transdisciplinary project that is present and his and Félix Guattari’s final work, What is Philosophy?, I argue that refining our understanding of experimentation as a pluralistic and fragile concept will help us engage with the difficulties raised in these fields. More generally I point towards a project of mapping out the diverse and divergent relations that a transdisciplinary understanding of experimentation may draw between philosophy, science, and art. (shrink)

An early, very preliminary edition of this book was circulated in 1962 under the title Set-theoretical Structures in Science. There are many reasons for maintaining that such structures play a role in the philosophy of science. Perhaps the best is that they provide the right setting for investigating problems of representation and invariance in any systematic part of science, past or present. Examples are easy to cite. Sophisticated analysis of the nature of representation in perception is to be found already (...) in Plato and Aristotle. One of the great intellectual triumphs of the nineteenth century was the mechanical explanation of such familiar concepts as temperature and pressure by their representation in terms of the motion of particles. A more disturbing change of viewpoint was the realization at the beginning of the twentieth century that the separate invariant properties of space and time must be replaced by the space-time invariants of Einstein's special relativity. Another example, the focus of the longest chapter in this book, is controversy extending over several centuries on the proper representation of probability. The six major positions on this question are critically examined. Topics covered in other chapters include an unusually detailed treatment of theoretical and experimental work on visual space, the two senses of invariance represented by weak and strong reversibility of causal processes, and the representation of hidden variables in quantum mechanics. The final chapter concentrates on different kinds of representations of language, concluding with some empirical results on brain-wave representations of words and sentences. (shrink)

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

How does the Social Lab methodology support participatory research? This paper provides an evidence-based analysis of experiences of 19 implemented Social Labs applying experiential learning cycles on the question of how to induce Responsible Research and Innovation in the Horizon2020 research funding scheme of the European Commission and beyond. It looks at the potentials of Social Labs to allow participation in research and innovation addressing societal challenges and contrasts empirical results with the theoretical conceptualisation of a scientific Social Lab (...) methodology. It discusses drivers and barriers of engagement, and provides evidence for the impacts of experimental engagement on participation in the context of the labs, substantiated by concrete examples from some of these labs. (shrink)

In this paper, I argue for a distinction between two scales of coordination in scientific inquiry, through which I reassess Georg Simon Ohm’s work on conductivity and resistance. Firstly, I propose to distinguish between measurement coordination, which refers to the specific problem of how to justify the attribution of values to a quantity by using a certain measurement procedure, and general coordination, which refers to the broader issue of justifying the representation of an empirical regularity by means of abstract (...) mathematical tools. Secondly, I argue that the development of Ohm’s measurement practice between the first and the second experimental phase of his work involved the change of the measurement coordination on which he relied to express his empirical results. By showing how Ohm relied on different calibration assumptions and practices across the two phases, I demonstrate that the concurrent change of both Ohm’s experimental apparatus and the variable that Ohm measured should be viewed based on the different form of measurement coordination. Finally, I argue that Ohm’s assumption that tension is equally distributed in the circuit is best understood as part of the general coordination between Ohm’s law and the empirical regularity that it expresses, rather than measurement coordination. (shrink)

In this paper, I attempt to clarify the heart of Dewey’s philosophy: his method (denotative method (DM) / pattern of inquiry (PI)). Despite the traditional understanding of Dewey as anti-foundationalist, I want to show that Dewey did have metaphysical foundations for his method: the principle of continuity or theory of emergentism. I also argue that Dewey’s metaphysical position is better named as ‘cultural emergentism’, rather than his own term ‘cultural naturalism’. What Dewey called ‘common sense’ in his Logic, Husserl termed (...) as the ‘life-world’ in his Crisis. I compare two perspectives of dealing with the phenomenon and conclude that for Dewey, the difference between natural sciences and the common sense inquiry is that of subject-matter but not of method. Thus, the goal is to find the unified method to be applied in both domains. Whereas Husserl was more pessimistic: for him, the difference was not only in subject-matter, but in the very methods. Following that discussion, I also attempt to reformulate the hard problem of consciousness in Deweyan terms. In the end, I compare Dewey’s DM / PI with Popper’s understandings of scientific method and conclude that there is no significant difference between the two and that Dewey’s method could also be looked at as hypothetic-deductive method, with the only difference in emphases. (shrink)

This paper examines two parallel discussions of scientific modeling which have invoked experimentation in addressing the role of models in scientific inquiry. One side discusses the experimental character of models, whereas the other focuses on their exploratory uses. Although both relate modeling to experimentation, they do so differently. The former has considered the similarities and differences between models and experiments, addressing, in particular, the epistemic value of materiality. By contrast, the focus on exploratory modeling has highlighted (...) the various kinds of exploratory functions of models in the early stages of inquiry. These two perspectives on modeling are discussed through a case study in the field of synthetic biology. The research practice in question explores biological control by making use of an ensemble of different epistemic means: mathematical models and simulations, synthetic genetic circuits and intracellular measuring devices, and finally electronic circuits. We argue that the study of exploratory modeling should trace the ways different epistemic means, in different materialities, are being combined over time. Finally, the epistemic status of such novel investigative objects as synthetic genetic circuits is evaluated, with the conclusion that they can function as both experiments and models. (shrink)

A review of existing work in experimental philosophy on intuitions about free will. The paper argues that people ordinarily understand free human action, not as something that is caused by psychological states (beliefs, desires, etc.) but as something that completely transcends the normal causal order.

In this article, I reconstruct and interpret the early Vico’s oft-neglected theory of scientific cognition, as found in his 1710 metaphysical treatise On the Most Ancient Wisdom of the Italians, a work whose aim was to be the handmaid to experimental physics. In particular, I offer a new reading of his verum-factum principle, which holds that the true and the made are interchangeable, by examining this doctrine in light of its unexpected connections to much later trends in philosophy. I (...) also present his criticism of Descartes’ cogito and, finally, Vico’s own solution to the problem of skepticism, which is meant to provide a new foundation for the sciences. (shrink)

A Calculus of Qualia (CQ) was proposed (on PhilPapers). The key idea is that, for example, blackness is radically different than █. The former term, “blackness” refers to or is about a quale, whereas the latter term, “█” instantiates a quale in the reader's mind and is non-referential, *it does not even refer to itself*. The meaning and behavior of these terms is radically different. In this paper in this series of papers, we discuss verifiability, experimental predictability and expanding science (...) to include the notion of systematic 1st-person versions of these. For example, I can make systematic predictions about a chair based on intersubjective agreement. I cannot do that with qualia, but if I witness (or experience) the truth of the qualation █ ≠ ▲ I can systematically predict that you will witness (or experience) the truth of your version of it, based on CQ and *intrasubjective* agreement. This is a radical expansion of the scientific methodology to include 1st-person verifiability and predictions and is an important part of the beginning of a paradigm shift. (shrink)

This essay addresses the interrelations between philosophy and experimental sciences that lie at the heart of Carl Stumpf’s epistemology. Following a biographical exposé demonstrating how Stumpf succeeded in acquiring a dual competence in both philosophical and scientific fields, we examine the vast array of academic disciplines encompassed by his research. Such a biographical treatment aims, indeed, to better promote the thrust of Stumpf’s assertion that philosophical enquiries should always be carried out in close connection with scientific practices, and (...) underlines how philosophico-scientific interactions established his work as a central pillar in the history of late nineteenth- and early twentieth-century German thought. (shrink)

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

This paper comprehensively examines Antoine Henri Becquerel’s discovery of radioactivity in 1896, a groundbreaking scientific advancement often viewed through serendipity. This case study explores the typologies of serendipity and investigates the conditions that foster its occurrence. A detailed study of Becquerel’s investigations reveals that his discovery aligns with a Walpolian type of serendipity, characterized by true serendipity heavily influenced by unforeseen experimental results. This paper emphasizes the role of bisociation, a cognitive process associating previously disconnected concepts, in Becquerel’s discovery, (...) challenging the view that his discovery was merely a chance event. Instead, it argues that Becquerel’s discovery represents an intricate interplay of logic and chance, exemplifying the Walpolian type of serendipity. Moreover, by examining Becquerel’s experimental design, results, and innovative approach, this paper illustrates that his discovery adheres to the fundamental aspects of the scientific method, albeit executed in a non-linear and iterative manner. The process and context of Becquerel’s discovery provide valuable insights into scientific knowledge inception, progression, and definition, underscoring the intertwined roles of serendipity and scientific inquiry in advancing science. (shrink)

Behavioral genetic (BG) research has yielded many important discoveries about the origins of human behavior, but offers little insight into how we might improve outcomes. We posit that this gap in our knowledge base stems in part from the epidemiologic nature of BG research questions. Namely, BG studies focus on understanding etiology as it currently exists, rather than etiology in environments that could exist but do not as of yet (e.g., etiology following an intervention). Put another way, they focus exclusively (...) on the etiology of “what is” rather than “what could be”. The current paper discusses various aspects of this field-wide methodological reality, and offers a way to overcome it by demonstrating how behavioral geneticists can incorporate an experimental approach into their work. We outline an ongoing study that embeds a randomized intervention within a twin design, connecting “what is” and “what could be” for the first time. We then lay out a more general framework for a new field—experimental BGs—which has the potential to advance both scientific inquiry and related philosophical discussions. (shrink)

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

The meaning of an experimental result depends on the experiment's conceptual backdrop, particularly its null hypothesis. This observation provides the basis for a functional interpretation of belief in the base rate fallacy. On this interpretation, if the base rate fallacy is to be labelled a “myth,” then it should be recognized that this label is not necessarily a disparaging one.