Scientific Instruments

ENG: In this brief commentary on Sara Palermo’s article, I highlight several methodological criticisms of the data analysis and hypotheses proposed by the author. I then focus on the relevance of nocebo/placebo studies for the contemporary debate on the mind/body problem. In particular, I show how these phenomena raise questions for dualistic and neurocentric approaches that are still prevalent in philosophy. Finally, I stress the role of expectations in nocebo/placebo models, with reference to a promising theoretical framework: the predictive brain. (...) -/- ITA: In questo breve commento all’articolo di Sara Palermo mi propongo di rilevare alcune criticità relative al metodo di indagine e alla solidità dell’ipotesi suggerita dall’autrice. In seguito mi concentrerò sulla rilevanza dello studio del nocebo/placebo nell’ambito del dibattito sul rapporto mente/corpo e su come questi fenomeni mettano in discussione approcci dualisti e neurocentrici ancora pervasivi soprattutto in campo filosofico. In conclusione, mi soffermerò sul ruolo delle aspettative nella costruzione del modello del nocebo/placebo, riprendendo un contesto particolarmente promettente per l’inquadramento teorico del fenomeno: il cervello predittivo. Parole chiave: Placebo; Nocebo; Meta-analisi; Cervello bayesiano; Elaborazione predittiva. (shrink)

In the Optics, Descartes claims that telescopes and microscopes lead to morally certain knowledge. It is unclear, however, that Descartes’s expressed confidence in these instruments is warranted. In this article, I show how a limited range of telescope and microscope observations could lead to morally certain knowledge for Descartes, and how observations beyond this range admit of enough reasonable doubt to undermine moral certainty. I also explain moral certainty as a form of knowledge in Descartes’s scientific practices, his epistemic commitment (...) to optical instruments, and I offer an explanation for why Descartes never used optical instruments in his scientific endeavours. -/- ---- -/- Dans la Dioptrique, Descartes prétend que les télescopes et les microscopes donnent accès à des connaissances moralement certaines. Cependant, il n’est pas certain que la confiance accordée par Descartes à ces instruments soit justifiée. Dans cet article, je montre comment une gamme limitée d’observations effectuées à l’aide d’instruments d’optique pourraient mener aux connaissances moralement certaines pour Descartes, et comment d’autres observations allant au-delà de cette gamme introduisent suffisamment de doute raisonnable pour saper cette certitude morale. Enfin, j’interprète la certitude morale comme une forme de connaissance dans l’empirisme de Descartes, j’explique son engagement épistémique envers les instruments d’optique, et j’éclaire les raisons pour lesquelles il n’a jamais employé d’instruments d’optique dans ses propres recherches scientifiques. (shrink)

In "Microaggressions: Strong Claims, Inadequate Evidence," Scott Lillenfeld argues that, despite a decade of scholarship, the Microaggression Research Program (MRP) continues to suffer serious analytic and evidentiary problems. After walking through these shortcomings, he provides 18 suggestions to help improve the reliability and utility of the MRP. In "Microaggressions and 'Evidence': Experimental or Experiential Reality?" Derald Wing Sue responds. This chapter provides background on the origin of the MRP, and referees the dispute between Lillenfeld and Sue about its contemporary status.

The work of Gaston Bachelard is known for two crucial concepts, that of the epistemological rupture and that of phenomenotechnique. A crucial question is, however, how these two concepts relate to one another. Are they in fact essentially connected or must they be seen as two separate elements of Bachelard’s thinking? This paper aims to analyse the relation between these two Bachelardian moments and the significance of the concept of phenomenotechnique for today. This will be done by examining how the (...) concepts of Bachelard have been used from the 1960s on. From this historical perspective, one gets the impression that these two concepts are relatively independent from each other. The Althusserian school has exclusively focused on the concept of ‘epistemological break’, while scholars from Science & Technology Studies, such as Bruno Latour, seem to have only taken up the concept of phenomenotechnique. It in fact leads to two different models of how to think about science, namely the model of purification and the model of proliferation. The former starts from the idea that sciences are rational to the extent that they are purified and free from obstacles. Scientific objectivity, within this later model, is not achieved by eradicating all intermediaries, obstacles and distortions, but rather exactly by introducing as many relevant technical mediators as possible. Finally, such a strong distinction will be criticized and the argument will be made that both in Bachelard’s and Latour's thought both concepts are combined. This leads to a janus-headed view on science, where both the element of purification and the element of proliferation are combined. (shrink)

Abstract: Hasok Chang (Sci Educ 20:317–341, 2011) shows how the recovery of past experimental knowledge, the physical replication of historical experiments, and the extension of recovered knowledge can increase scientific understanding. These activities can also play an important role in both science and history and philosophy of science education. In this paper I describe the implementation of an integrated learning project that I initiated, organized, and structured to complement a course in history and philosophy of the life sciences (HPLS). The (...) project focuses on the study and use of descriptions, observations, experiments, and recording techniques used by early microscopists to clas- sify various species of water flea. The first published illustrations and descriptions of the water flea were included in the Dutch naturalist Jan Swammerdam’s, Historia Insectorum Generalis (1669) (Algemeene verhandeling van de bloedeloose dierkens. t’Utrrecht, Me- inardus van Dreunen, ordinaris Drucker van d’Academie). After studying these, we first used the descriptions, techniques, and nomenclature recovered to observe, record, and classify the specimens collected from our university ponds. We then used updated recording techniques and image-based keys to observe and identify the specimens. The implementation of these newer techniques was guided in part by the observations and records that resulted from our use of the recovered historical methods of investigation. The series of HPLS labs constructed as part of this interdisciplinary project provided a space for students to consider and wrestle with the many philosophical issues that arise in the process of identifying an unknown organism and offered unique learning opportunities that engaged students’ curiosity and critical thinking skills. (shrink)

Optogenetic techniques are described as “revolutionary” for the unprecedented causal control they allow neuroscientists to exert over neural activity in awake behaving animals. In this paper, I demonstrate by means of a case study that optogenetic techniques will only illuminate causal links between the brain and behavior to the extent that their error characteristics are known and, further, that determining these error characteristics requires comparison of optogenetic techniques with techniques having well known error characteristics and consideration of the broader neural (...) and behavioral context in which the targets of optogenetic interventions are situated. (shrink)

This article explores some of the roles of computer simulation in measurement. A model-based view of measurement is adopted and three types of measurement—direct, derived, and complex—are distinguished. It is argued that while computer simulations on their own are not measurement processes, in principle they can be embedded in direct, derived, and complex measurement practices in such a way that simulation results constitute measurement outcomes. Atmospheric data assimilation is then considered as a case study. This practice, which involves combining information (...) from conventional observations and simulation-based forecasts, is characterized as a complex measuring practice that is still under development. The case study reveals challenges that are likely to resurface in other measuring practices that embed computer simulation. It is also noted that some practices that embed simulation are difficult to classify; they suggest a fuzzy boundary between measurement and non-measurement. 1 Introduction2 A Contemporary View of Measurement3 Three Types of Measurement4 Can Computer Simulations Measure Real-World Target Systems?5 Case Study: Atmospheric Data Assimilation5.1 Why data assimilation?5.2 A complex measuring practice under development5.3 Epistemic iteration6 The Boundaries of Measurement7 Epistemology, Not Terminology. (shrink)

This paper aims at extending the notion of thing knowledge put forth by Davis Baird. His Thing Knowledge (Baird 2004) proposes that scientific instruments constitute scientific knowledge and that to conceive scientific instruments as such brings about a new and better understanding of scientific development. By insisting on what “truth does for us,” Baird shows that the functional properties of truth are shared by the common scientific instrument. The traditional definition of knowledge as justified true belief would only apply to (...) scientific instrumentation if we were to reject the subjective (and intentional) aspect of it, viz. belief. In consequence, Baird insists that scientific instruments can be seen only as a kind of objective knowledge, that is knowledge maintained by the scientific community but not individually by a given scientist. In this paper, I will argue for a conception of subjective thing knowledge according to which some scientific instruments (especially material models) can be understood as justified true beliefs. By combining Davis Baird’s thing knowledge and Clark and Chalmers’ hypothesis of extended cognition, I will show that it is possible to derive an analysis of material models as cognitive augmentation of the scientist's mind, and that such scientific instruments are to be understood as a material form of subjective knowledge, i.e. as external-to-the-brain justified true beliefs. (shrink)

In today’s science, the output of measurement processes are often visual representations of the data detected. Moreover, we find such visual data as parts of scientific reasoning in different contexts. In this article, we will take a look at two of them. On the one hand, visual representations are used as a kind of surrogate for the real object to ask questions about it – we will call this the exploratory use of visual data. On the other hand, visualisations are (...) often used to communicate research results to scientific peers or to laymen. Instances of the latter case we will subsequently call the explanatory use of visual data. However, in both contexts the question arises what might justify these epistemic practices. Believing without reasons is epistemically irresponsible, it leads to gullibility. Thus, we will try to answer the question whether there are any reasons to support our epistemic practices concerning scientific visualisations in the above-mentioned senses and whether these are good reasons to rely on. (shrink)

Astronomer Charles Piazzi Smyth’s 1864–65 expedition to measure the Great Pyramid of Giza was planned around a system of linear measures designed to guarantee the validity of his measurements and settle ongoing uncertainties as to the Pyramid’s true size. When the intended system failed to come together, Piazzi Smyth was forced to improvise a replacement that presented a fundamental challenge to the metrological enterprise upon which his system had been based. The astronomer’s new system centered around a small lump of (...) basalt, now held at Cambridge’s Whipple Museum of the History of Science, which nucleated a wide array of material and scientific considerations. Through a bipartite analysis of the physical and narrative dimensions of Piazzi Smyth’s basalt Standard, I develop the implications of its use and construction for understanding the material constitution of scientific instruments. In particular, I illustrate how instruments are locally constituted through co-accountable systems and how their material features become integrally implicated in both their uses and meanings. (shrink)

One important debate between scientific realists and constructive empiricists concerns whether we observe things using instruments. This paper offers a new perspective on the debate over instruments by looking to recent discussion in philosophy of mind and cognitive science. Realists often speak of instruments as ‘extensions’ to our senses. I ask whether the realist may strengthen her view by drawing on the extended mind thesis. Proponents of the extended mind thesis claim that cognitive processes can sometimes extend beyond our brains (...) and bodies into the environment. I suggest that the extended mind thesis offers a way to make sense of realists’ talk of instruments as extensions to the senses and that it provides the realist with a new argument against the constructive empiricist view of instruments. (shrink)

We claim that in contemporary studies in molecular biology and biomedicine, the nature of ‘manipulation’ and ‘intervention’ has changed. Traditionally, molecular biology and molecular studies in medicine are considered experimental sciences, whereas experiments take the form of material manipulation and intervention. On the contrary “big science” projects in biology focus on the practice of data mining of biological databases. We argue that the practice of data mining is a form of intervention although it does not require material manipulation. We also (...) suggest that material manipulation, although still present in in the practice of data mining, fulfill a different epistemic role. (shrink)

Galileo’s telescopic lunar observations, announced in Siderius Nuncius (1610), were a triumph of observational skill and ingenuity. Yet, unlike the Medicean stars, Galileo’s lunar “discoveries” were not especially novel. Indeed, Plutarch had noted the moon’s uneven surface in classical times, and many other renaissance observers had also turned their gaze moonward, even (in Harriot’s case) aided by telescopes of their own. Moreover, what Galileo and his contemporaries saw was colored by the assumptions they already had. Copernicans assumed the moon was (...) a terrestrial satellite, thus Galileo saw its mountains and Kepler “saw” the dwellings of its inhabitants. Aristotelians assumed the moon was a perfect sphere, so they saw differences in density and rarity in the lunar body. Theory corrected the results of observation, so Galileo’s lunar observations, like those that had come before, proved nothing. Yet this failure contained the germ of Galileo’s success, since the Siderius Nuncius gave observation a rhetorical force it did not have before. Observers on all sides set out to see for themselves what Galileo reported. Hence, all parties now had to answer to what they saw, whatever they believed. Thus, the Siderius Nuncius ultimately changed the grounds upon which natural philosophical argument and debate was carried out. In this new empirical arena, the Galilean science would eventually prevail. (shrink)

The production of evidence for scientific hypotheses and theories often depends upon complex instruments and techniques for employing them. An important epistemological question arises as to how the reliability of these instruments and techniques is assessed. To address that question, this paper examines the introduction of electron microscopy and cell fractionation in cell biology. One important claim is that scientists often arrive at their techniques for employing instruments like the electron microscope and the ultracentrifuge by tinkering and that they evaluate (...) the resulting techniques in part by whether they produce plausible data given developing theories. (shrink)

It seems that the reception of Conrad Hal Waddington’s work never really gathered speed in mainstream biology. This paper, offering a transdisciplinary survey of approaches using his epigenetic landscape images, argues that (i) Waddington’s legacy is much broader than is usually recognized—it is widespread across the life sciences (e.g. stem cell biology, developmental psychology and cultural anthropology). In addition, I will show that (ii) there exist as yet unrecognized heuristic roles, especially in model building and theory formation, which Waddington’s images (...) play within his work. These different methodological facets envisioned by Waddington are used as a natural framework to analyze and classify the manners of usage of epigenetic landscape images in post-Waddingtonian ‘landscape approaches’. This evaluation of Waddington’s pictorial legacy reveals that there are highly diverse lines of traditions in the life sciences, which are deeply rooted in Waddington’s methodological work. (shrink)

Alexander Bird argues for an epistemic account of scientific progress, whereas Darrell Rowbottom argues for a semantic account. Both appeal to intuitions about hypothetical cases in support of their accounts. Since the methodological significance of such appeals to intuition is unclear, I think that a new approach might be fruitful at this stage in the debate. So I propose to abandon appeals to intuition and look at scientific practice instead. I discuss two cases that illustrate the way in which scientists (...) make judgments about progress. As far as scientists are concerned, progress is made when scientific discoveries contribute to the increase of scientific knowledge of the following sorts: empirical, theoretical, practical, and methodological. I then propose to articulate an account of progress that does justice to this broad conception of progress employed by scientists. I discuss one way of doing so, namely, by expanding our notion of scientific knowledge to include both know-that and know-how. (shrink)

Arabidopsis is currently the most popular and well-researched model organism in plant biology. This paper documents this plant's rise to scientific fame by focusing on two interrelated aspects of Arabidopsis research. One is the extent to which the material features of the plant have constrained research directions and enabled scientific achievements. The other is the crucial role played by the international community of Arabidopsis researchers in making it possible to grow, distribute and use plant specimen that embody these material features. (...) I argue that at least part of the explosive development of this research community is due to its successful standardisation and to the subsequent use of Arabidopsis specimen as material models of plants. I conclude that model organisms have a double identity as both samples of nature and artifacts representing nature. It is the resulting ambivalence in their representational value that makes them attractive research tools for biologists. (shrink)