ArgumentBiological drawings of newly described or revised species are expected to represent the type specimen with greatest possible accuracy. In taxonomic practice, illustrations assume the function of mobile representatives of relatively immobile specimens. In other words, such illustrations serve as “immutable mobiles” in the Latourian sense. However, the significance of drawing in the context of first descriptions goes far beyond that of illustration in the conventional sense. Not only does it synthesize the verbal catalogue of the type's morphological characteristics: it (...) also enables the examination of these traits. The efficacy of drawing is thus closely related to its power to direct and redirect observation; it is inextricably bound up with the act of making a drawing. Although the invariance of the “immutable mobiles” is a key virtue of the logistics of “paperwork,” the recovery of graphic knowledge requires a much stronger dynamic activity – a process of sequential processing that brings out differences by translating the phenomenon under examination into various modes of graphic representation. (shrink)

Ecologists, particularly those who consider socially generated effects in the environment, grapple with complex, changing situations. Historians, sociologists and philosophers studying the construction of science likewise attempt to account for (or discount) a wide variety of influences, which make up what historian Charles Rosenberg has called “ecologies of knowledge” (Rosenberg 1988). This paper introduces a graphic methodology, mapping, designed to assist researchers at both levels—in science and in science studies—to work with the complexity of their material. By analyzing the implications (...) and limitations of mapping, I aim to contribute to an ecological approach to the philosophy of science. Let me start with two diagrams to open up the territory I will be exploring.Dansereau’s diagram (Fig. 1) conveys a dynamic equilibrium of energy and resource import, export, flows up a trophic hierarchy, and down again to exert control over lower levels in an ecosystem (Dansereau 1973). (shrink)

Biological sciences have strived to adopt the conceptual framework of physics and have become increasingly quantitatively oriented, aiming to refute the assertion that biology appears unquantifiable, unpredictable, and messy. But despite all effort, biology is characterized by a paucity of quantitative statements with universal applications. Nonetheless, many biological disciplines—most notably molecular biology—have experienced an ascendancy over the last 50 years. The underlying core concepts and ideas permeate and inform many neighboring disciplines. This surprising success is probably not so much attributable (...) to mathematical and statistical approaches in molecular biology, but rather to the preponderance of qualitative approaches, especially visualization. Visualizations can be afforded by quantitative research, but usually they rely on both, quantitative and qualitative research. I claim the following three features to be responsible for the unceasing zeal for using visualizations: visual representations facilitate reasoning, images can be cognitively processed in a “fast” manner, and abstractions of visual representations prompt conceptual advances. In summary, visualizations have largely contributed to the success of molecular biology by conveying its concepts to other disciplines, and at the same time, eclipsing mere quantitative approaches. However, visualizations also bear the risk of misinterpretation when traversing neighboring disciplines and even more so when pervading nonscientific domains. (shrink)

Barbara McClintock won the Nobel Prize in 1983 for her discovery of mobile genetic elements. Her Nobel work began in 1944, and by 1950 McClintock began presenting her work on "controlling elements." McClintock performed her studies through the use of controlled breeding experiments with known mutant stocks, and read the action of controlling elements (transposons) in visible patterns of pigment and starch distribution. She taught close colleagues to "read" the patterns in her maize kernels, "seeing" pigment and starch genes turning (...) on and off. McClintock illustrated her talks and papers on controlling elements or transposons with photographs of the spotted and streaked maize kernels which were both her evidence and the key to her explanations. Transposon action could be read in the patterns by the initiated, but those without step by step instruction by McClintock or experience in maize often found her presentations confusing. The photographs she displayed became both McClintock's means of communication, and a barrier to successful presentation of her results. The photographs also had a second and more subtle effect. As images of patterns arrived at through growth and development of the kernel, they highlight what McClintock believed to be the developmental consequences of transposition, which in McClintock's view was her central contribution, over the mechanism of transposition, for which she was eventually recognized by others. Scientific activities are extremely visual, both at the sites of investigation and in communication through drawings, photographs, and movies. Those visual messages deserve greater scrutiny by historians of science. (shrink)

Over the last two decades, Science Studies has produced a fascinating body of literature on visual representation. A crucial part of that literature has explored the materiality of visual representation, primarily the “rendering practices” that make visual representations possible and embody epistemic virtues attached to the scientific self. This essay explores the practices and capacities that support visual representation, but it looks to a seemingly unlikely place for inspiration—the growing literature on the uses of sound in science. My interest here (...) is to see how that literature points us to a view of sound as an epistemic resource that supports the visual. If there is a visual emphasis in modern science, it is made possible by a set of material practices that are only partly visual. As such, this essay suggests how the history of visual representations in science might be bound up with a history of scientific aurality. (shrink)

Taking the visual appeal of the ‘bell curve’ as an example, this paper discusses in how far the availability of quantitative approaches (here: statistics) that comes along with representational standards immediately affects qualitative concepts of scientific reasoning (here: normality). Within the realm of this paper I shall focus on the relationship between normality, as defined by scientific enterprise, and normativity, that result out of the very processes of standardisation itself. Two hypotheses are guiding this analysis: (1) normality, as it is (...) defined by the natural and the life sciences, must be regarded as an ontological, but epistemological important fiction and (2) standardised, canonical visualisations (such as the ‘bell curve’) impact on scientific thinking and reasoning to a significant degree. I restrict my analysis to the epistemological function of scientific representations of data: This means identifying key strategies of producing graphs and images in scientific practice. As a starting point, it is crucial to evaluate to what degree graphs and images could be seen as guiding scientific reasoning itself, for instance in attributing to them a certain epistemological function within a given field of research. (shrink)

The text analyses metaphors of bacteriology which were extensively used in Germany during the era of William II. These display – in a vivid exchange with the scientific concepts of the age – a specific popular understanding of disease based on bacteriology. Disease is essentially seen as a war of physicians against microbes. While popularizing science bacteriological metaphors became part of the political language of their age. At the same time the prestige of bacteriology was in turn employed to lend (...) credibility to pictures of assumed enemies – by portraying them as infectious diseases. Although the political language of bacteriology differed from the social darwinism of the age in important structural and semantic aspects, it nevertheless influenced the political language of its time, for example by becoming a blueprint of antisemitic rhetorics. (shrink)

The purpose of this study is to examine how trends in the use of images in modern life science journals have changed since the spread of computer-based visual and imaging technology. To this end, a new classification system was constructed to analyze how the graphics of a scientific journal have changed over the years. The focus was on one international peer-reviewed journal in life sciences, Cell, which was founded in 1974, whereby 1725 figures and 160 tables from the research articles (...) in Cell were sampled. The unit of classification was defined as a graphic and the figures and tables were divided into 5952 graphics. These graphics were further classified into hierarchical categories, and the data in each category were aggregated every five years. The following categories were observed: data graphics, explanation graphics, and hybrid graphics. Data graphics increased by more than sixfold between 1974 and 2014, and some types of data graphics including mechanical reproduction images and bar charts displayed notable changes. The representation of explanatory graphics changed from hand-painted illustrations to diagrams of Bezier-curves. It is suggested that in addition to the development of experimental technologies such as fluorescent microscopy and big data analysis, continuously evolving application software for image creation and researchers’ motivation to convince reviewers and editors have influenced these changes. (shrink)

In this paper I aim to defend a twofold thesis. On one hand, I will sup-port, against Perini [7], the indispensability of diagrams when structurally complex biomolecules are concerned, since it is not possible to satisfactorily use linguistic-sentential representations at that domain. On the other hand, even when diagrams are dispensable I will defend than they will generally be more effective than other representations in encoding biomolecular knowledge, relying on Kulvicki-Shimojima’s diagrammatic effectiveness thesis. Finally, I will ground many epistemic virtues (...) of biomolecular diagrams (understandability, explanatory power, prediction and hypothesis evaluation) on their cognitive-computational indispensability and their semantic-epistemic effectiveness. (shrink)