This article outlines a philosophy of science in practice that focuses on the engineering sciences. A methodological issue is that these practices seem to be divided by two different styles of scientific reasoning, namely, causal-mechanistic and mathematical reasoning. These styles are philosophically characterized by what Kuhn called ?disciplinary matrices?. Due to distinct metaphysical background pictures and/or distinct ideas of what counts as intelligible, they entail distinct ideas of the character of phenomena and what counts as a scientific explanation. It is (...) argued that the two styles cannot be reduced to each other. At the same time, although they are incompatible, they must not be regarded as competing. Instead, they produce different kinds of epistemic results, which serve different kinds of epistemic functions. Moreover, some scientific breakthroughs essentially result from relating them. This view of complementary styles of scientific reasoning is supported by pluralism about metaphysical background pictures. (shrink)

This review essay critically discusses Andre Kukla's Methods of theoretical psychology. It is argued that Kukla mistakenly tries to build his case for theorizing in psychology as a separate discipline on a dubious distinction between theory and observation. He then argues that the demise of empiricism implies a return of some form of rationalism, which entails an autonomous role for theorizing in psychology. Having shown how this theory-observation dichotomy goes back to traditional and largely abandoned ideas in epistemology, an alternative (...) is presented in the guise of the pragmatist or functionalist tradition, where the interdependence of theory, observation and action is emphasized and the positivist dichotomy of pure observations and pure theory is rejected. Furthermore, we show how recent work on "active" perception supports the functionalist approach. Although the authors agree with Kukla that theory has a legitimate place in psychology, it is suggested that he needlessly limits its scope to autonomous domain-neutral theorizing, and that broadening its perspective to analyzing the presuppositions and implications of empirical work is a more fruitful approach. In fact, the attempt to find the epistemological and philosophical implications of empirical work in perception that is sketched in this review essay is, in the authors' view, a case of theorizing in psychology. (shrink)

This dissertation is about human knowledge of reality. In particular, it argues that scientific knowledge is bounded by historically available instruments and theories; nevertheless, the use of several independent instruments and theories can provide access to the persistent potentialities of reality. The replicability of scientific observations and experiments allows us to obtain explorable evidence of robust entities and properties. The dissertation includes seven chapters. It also studies three cases – namely, Higgs bosons and hypothetical Ϝ-particles (section 2.4), the Ptolemaic and (...) Kepler model of the planets (section 6.7), and the special theory of relativity (chapter 7). -/- Chapter 1 is the introduction of the dissertation. Chapter 2 clarifies the notion of the real on the basis of two concepts: persistence and resistance. These concepts enable me to explain my ontological belief in the real potentialities of human-independent things and the implications of this view for the perceptual and epistemological levels of discussion. On the basis of the concept of “overlapping perspectives”, chapter 3 argues that entity realism and perspectivism are complementary. That is, an entity that manifests itself through several experimental/observational methods is something real, but our knowledge of its nature is perspectival. Critically studying the recent views of entity realism, chapter 4 extends the discussion of entity realism and provides a criterion for the reality of property tokens. Chapter 5, in contrast, develops the perspectival aspects of my view on the basis of the phenomenological-hermeneutical approaches to the philosophy of science. This chapter also elaborates my view of empirical evidence, as briefly expressed in sections 2.5 and 4.5. Chapter 6 concerns diachronic theoretical perspectives. It first explains my view of progress, according to which current perspectives are broader than past ones. Second, it argues that the successful explanations and predictions of abandoned theories can be accounted for from our currently acceptable perspectives. The case study of Ptolemaic astronomy supports the argument of this chapter. Chapter 7 serves as the conclusion of the dissertation by applying the central themes of the previous chapters to the case study of special relativity theory. I interpret frame-dependent properties, such as length and time duration, and the constancy of the speed of light according to realist perspectivism. (shrink)

Open science hardware (OSH) are prototypes of laboratory instruments that use open source hardware to extend the purely epistemic (improving knowledge about nature) and normative (improving society) ideals of science and emphasize the importance of technology. They remind us of Zilsel’s 1942 thesis about the artisanal origins of science and instrument making that bridged disciplinary and social barriers in the 16th century. The emphasis on making, tinkering, and design transcends research, reproducibility, and corroboration in science and pushes to the forefront (...) educational, emancipatory, and aesthetic and exploratory uses. I will use two recent projects, OpenDrop electrowetting platform and Open Source Estrogen that make but also reflect OSH’s playful, expressive, and performative strategies and define the present practices as “artisanal science.” These hybrid and ambiguous practices bridge divides between present disciplines and skills but they also define science as an everyday activity directly connected to the private and public interests of the citizens. To describe this epistemic and normative ambiguity of artisanal science, I employ Hannah Arendt’s 1958 critique of homo laborans and homo faber and claim that science artisans (citizen scientists, geeks, makers, and hackers) offer an alternative to professionalization of science as practiced in the university and R&D laboratories. Science artisans design and build instruments to engage in civic “vita activa” over instruments but also leisurely “otium” outside of the work and science labor. OSH in this sense empowers individuals and communities to explore new connections between scientific practices, public actions, and private interests (leisure). The science artisans strive for and explore sovereignty, dignity, and freedom in an age immersed in science and technology controversies by bridging the divides between art, science, engineering, and humanities. (shrink)

The use of multiple means of determination to “triangulate” on the existence and character of a common phenomenon, object, or result has had a long tradition in science but has seldom been a matter of primary focus. As with many traditions, it is traceable to Aristotle, who valued having multiple explanations of a phenomenon, and it may also be involved in his distinction between special objects of sense and common sensibles. It is implicit though not emphasized in the distinction between (...) primary and secondary qualities from Galileo onward. It is arguably one of several conceptions involved in Whewell’s method of the “consilience of inductions” (Laudan 1971) and is to be found in several places in Peirce. (From M. Brewer and B. Collins, eds., (1981); Scientific Inquiry in the Social Sciences (a festschrift for Donald T. Campbell), San Francisco: Jossey-Bass, pp. 123–162.). (shrink)

In this dissertation, I present a novel account of the components that have a peculiar epistemic role in our scientific inquiries, since they contribute to establishing a form of coordination. The issue of coordination is a classic epistemic problem concerning how we justify our use of abstract conceptual tools to represent concrete phenomena. For instance, how could we get to represent universal gravitation as a mathematical formula or temperature by means of a numerical scale? This problem is particularly pressing when (...) justification for using these abstract tools comes, in part or entirely, from knowledge which is not independent from them, thus leading to threats of circularity. Achieving coordination between some abstract conceptual tools and the concrete phenomena that they are supposed to represent is usually a complex process, which involves several epistemic components. Some of these components eventually provide stable conditions for applying those abstract representations to concrete phenomena. It is in this sense of providing certain conditions of applicability that different philosophical traditions, as well as some contemporary reappraisals, view these components as constitutive or a priori. In this work, I present a new gradualist, contextualist, and relational approach to understand these constitutive components of scientific inquiry. It is gradualist inasmuch as the degree to which some component is constitutive depends on three quantifiable features: quasi-axiomaticity, generative potential, and empirical shielding. Since the quantification of these three features impinges on the history and practice of using these components in a scientific context, my approach is a contextualist one. Finally, my approach is relational in a double sense: first, it identifies ordinal relationships among epistemic components with respect to their constitutive character; second, these relationships are relative to a scientific framework of inquiry. After introducing my account and a classic example of constitutively a priori principles, i.e., Friedman’s (2001) analysis of Newtonian mechanics, I turn to my own case studies to demonstrate the advantages of my approach. Firstly, I discuss Okasha’s (2018) view of endogenization as a pervasive theoretical strategy in evolutionary biology and suggest that the constitutive character of the core Darwinian principles progressively increases with endogenization. Secondly, I apply a conceptual distinction between two varieties or scopes of coordination – general coordination and coordination in measurement – to Ohm’s work on electrical conductivity. This distinction allows me to pinpoint to what extent components along different dimensions (e.g., instrumentation, measurement, theorising, etc.) were constitutive of the forms of coordination which Ohm relied on. Thirdly, I discuss the epistemic function of the Hardy-Weinberg principle in the history and practice of population genetics. I assess this principle in terms of my account and identify approximation and stability as two components that are highly constitutive, in that they contribute to justifying its use in population genetics. Finally, applying my account to these case studies enables me to identify at least three qualitatively different types of constitutive components: domain-specific theoretical principles, material components, and domain-independent assumptions underlying reasoning abilities. In the light of my results, I draw some general conclusions on epistemic justification and scientific knowledge. (shrink)

This article provides an overview of the historical and philosophical context from which originated G. Bachelard's concept of "phenomenotechnique". It analyzes why phenomenotechnique is crucial for science studies. By incorporating the concept of phenomenotechnique into Hacking's and Galison's models of science, I argue that we can avoid the radicalism of both while also preventing the analysis of scientific practices from collapsing into the interpretive frames mandated by social constructivists.

The 1980s, it is often claimed, was the decade when experimentation finally became a philosophical topic. This was the responsibility, the claim continues, of one particular movement within philosophy of science, called “new experimentalism.” The aim of this article is to complicate this historical narrative. We argue that in the 1980s, the study of experimentation was carried out not by one movement with one particular aim but rather in a diverse and open-ended way by people with different aims and backgrounds. (...) We then argue that from the late 1990s onward, this diversity disappeared and made room for disciplinary divisions—questions concerning experimentation became philosophical, others sociological, and so on. The reason for this, we claim, was that science and technology studies, philosophy of technology, and philosophy of science took over aspects of the 1980s study of experimentation. In this way, we argue, these elements became institutionalized, whereas others were forgotten. The importance of this process of institutionalization is illustrated by means of a discussion of other, similar approaches to the philosophy of experimentation that have not been able to ensure continuity because they did not find an institutional home. (shrink)

Practice-based philosophy of science has gradually arisen in the sociology of scientific knowledge (SSK) and science and technology studies (STS) during the past decades. It studies science as an ensemble of practices and theorising as one of these practices. A recent study has shown how the practice-based approach can be methodologically justified with reference to Peirce and Dewey. In this article, I will explore one consequence of that notion: science, as practice, is necessarily social. I will disambiguate five different senses (...) in which science is social. First, science presupposes language, which is essentially social. Second, practices, including science, are adaptations of the behaviour of an organism to an environment, of which other organisms are a part. Third, practices, including science, are public and hence shareable. Fourth, scientific knowledge can serve as a vehicle of social and moral reform. Fifth, scientific knowledge can be applied to improve the human condition. This fivefold result bears on the problem of realism. (shrink)

On the relation between experiment and thought experiment in the natural sciences. To understand the reciprocal autonomy and complementarity of thought and real experiment, it is necessary to distinguish between a ‘positive’ (empirical or formal) and a transcendental perspective. Empirically and formally, real and thought experiments are indistinguishable. However, from a reflexive-transcendental viewpoint thought experiment is at the same time irreducible and complementary to real experiment. This is due to the fact that the hypothetical-anticipatory moment is in principle irreducible to (...) physical reality—even though it refers to physical reality and is bound with the empirical use of our understanding. The presence of counterfactuals is the condition of the possibility for thought experiments to become in principle real ones, by means of a series of technical realisations that gradually approximate the idealisations that they contain. (shrink)

Although true in some aspects, the suggested characterization of today’s science as a dichotomy between traditional science and data-driven science misses some of the nuance, complexity, and possibility that exists between the two positions. Part of the problem is the claim that Data Science works without theories. There are many theories behind the data that are used in science. However, for data science, the only theories that matter are those in mathematics, statistics, and computer science. In this conceptual paper, we (...) add two other philosophy of science tenets, experiments and data, to the discussion to create a more nuanced view of how data science uses theories. Following Ihde’s concept of technoscience and the incessant quest for more precision, magnification, and resolution, we argue that technology-driven science created a need for more technology-driven science, culminating in data science. Further, we adapt Hacking and Galison’s views on physics to argue that data science is also an experimental science, which uses data objects in experiments. Drawing from Heelan, we called these objects “data-objects-for-knowing”. Finally, we conclude that data science is a science to study artificially created phenomena—a science to study the data manipulated by the equations and operations of AI. It disregards the connections between data and the real world that were carefully built by the theories from other sciences. In the experiments of data science, data are the world itself. The knowledge created by data science is purposely disconnected from any theory from other sciences; it is a knowledge for the sake of itself. (shrink)

Creative approaches in recent work in science studies can be usefully connected with ideas from the pragmatic tradition. This article both criticizes and builds on the contemporary pragmatic views of Hacking, Stich, and others. It selects a theme from the work of James and Dewey as a heuristic for a new, and necessary, pragmatic epistemology of science.