Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The (...) visualization is unusual in that it depicts the dynamics and structure of a computer model instead of that model’s target system, and because it is generated algorithmically. Using considerations from epistemology and aesthetics, we explore how this new kind of visualization increases scientific understanding of the content and function of computer models in systems biology to reduce epistemic opacity. (shrink)

Philosophers have traditionally conceived of discovery in terms of internal cognitive acts. Close consideration of Rosalind Franklin's role in the discovery of the DNA double helix, however, reveals some problems with this traditional conception. This article argues that defining discovery in terms of mental operations entails problematic conclusions and excludes acts that should fall within the domain of discovery. It proposes that discovery be expanded to include external acts of making visible. Doing so allows for a reevaluation of Franklin's role (...) in the discovery of the structure of DNA. (shrink)

This paper argues that spacetime visualisability is not a necessary condition for the intelligibility of theories in physics. Visualisation can be an important tool for rendering a theory intelligible, but it is by no means a sine qua non. The paper examines the historical transition from classical to quantum physics, and analyses the role of visualisability and its relation to intelligibility. On the basis of this historical analysis, an alternative conception of the intelligibility of scientific theories is proposed, based (...) on Heisenberg 's reinterpretation of the notion of Anschaulichkeit. (shrink)

Without doubt, there is a widespread usage of visualisations in science. However, what exactly the _epistemic status_ of these visual representations in science may be remains an open question. In the following, I will argue that at least some scientific visualisations are indispensible for our cognitive processes. My thesis will be that, with regard to the activity of _learning_, visual representations are of relevance in the sense of contributing to the aim of _scientific_ _understanding_. Taking into account that understanding (...) can be regarded as an epistemic desideratum in its own right, I will argue that, at least in some instances, no understanding can be achieved without the aid of visualisations. Consequently, they are of crucial importance in this process. Moreover, to support this thesis we will make use of some findings in educational psychology. (shrink)

Just before the Scientific Revolution, there was a "Mathematical Revolution", heavily based on geometrical and machine diagrams. The "faculty of imagination" (now called scientific visualization) was developed to allow 3D understanding of planetary motion, human anatomy and the workings of machines. 1543 saw the publication of the heavily geometrical work of Copernicus and Vesalius, as well as the first Italian translation of Euclid.

This study will mainly investigate a semiotic theory of the production and functions of visualisation and image in scientific literature, especially concerningobservational astrophysics, as well as theoretical physics, and will also mention the physiology of movement dealing with chronophotography.

Only a decade ago, the topic of scientific understanding remained one that philosophers of science largely avoided. Earlier discussions by Hempel and others had branded scientific understanding a mere subjective state or feeling, one to be studied by psychologists perhaps, but not an important or fruitful focus for philosophers of science. Even as scientific explanation became a central topic in philosophy of science, little attention was given to understanding. Over the last decade, however, this situation has changed. (...) Analyses of scientific understanding that do not treat it as a subjective state or feeling have been offered and debated, and both the epistemic value and the pitfalls of purported psychological .. (shrink)

The act of understanding is at the heart of all scientific activity; without it any ostensibly scientific activity is as sterile as that of a high school student substituting numbers into a formula. Ordinary language often uses visual metaphors in connection with understanding. When we finally understand what someone is trying to point out to us, we exclaim: “I see!” When someone really understands a subject matter, we say that she has “insight”. There appears to be a link (...) between visualization and understanding, and between visualizability and intelligibility. This applies in science no less than in daily life: visualization is regarded as a useful means of achieving scientific understanding, even in the .. (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 sciences use a wide range of visual devices, practices, and imaging technologies. This diversity points to an important repertoire of visual methods that scientists use to adapt representations to meet the varied demands that their work places on cognitive processes. This paper identifies key features of the use of visualization in a range of scientific domains and considers the implications of this repertoire for understanding scientists as cognitive agents.

Both in the bibliography and in the citation in the text, Michelle Gibbons’ article below has been mistakenly attributed to “Gibson.” The proper reference to the article should be: Gibbons, M.. Reassessing discovery: Rosalind Franklin, scientific visualization, and the structure of DNA. _Philosophy of Science, 79_, 63–80.

This paper explores the extent to which a scientific framework for visualization might be possible. It presents several potential parts of a framework, illustrated by application to the visualization of correlation in scatterplots. The first is an extended-vision thesis, which posits that a viewer and visualization system can be usefully considered as a single system that perceives structure in a dataset, much like "basic" vision perceives structure in the world. This characterization is then used to suggest (...) approaches to evaluation that take advantage of techniques used in vision science. Next, an optimal-reduction thesis is presented, which posits that an optimal visualization enables the given task to be reduced to the most suitable operations in the extended system. A systematic comparison of alternative designs is then proposed, guided by what is known about perceptual mechanisms. It is shown that these elements can be extended in various ways—some even overlapping with parts of vision science. As such, a science of some kind appears possible for at least some parts of visualization. It would remain distinct from design practice, but could nevertheless assist with the design of visualizations that better engage human perception and cognition. (shrink)

Transparency in data visualization is an essential ingredient for scientific communication. The traditional approach of visualizing continuous quantitative data solely in the form of summary statistics has repeatedly been criticized for not revealing the underlying raw data distribution. Remarkably, however, systematic and easy-to-use solutions for raw data visualization using the most commonly reported statistical software package for data analysis, IBM SPSS Statistics, are missing. Here, a comprehensive collection of more than 100 SPSS syntax files and an SPSS (...) dataset template is presented and made freely available that allow the creation of transparent graphs for one-sample designs, for one- and two-factorial between-subject designs, for selected one- and two-factorial within-subject designs as well as for selected two-factorial mixed designs and, with some creativity, even beyond. Depending on graph type, raw data can be displayed along with standard measures of central tendency and dispersion. The free-to-use syntax can also be modified to match with individual needs. A variety of example applications of syntax are illustrated in a tutorial-like fashion along with fictitious datasets accompanying this contribution. The syntax collection is hoped to provide researchers, students, teachers, and others working with SPSS a valuable tool to move towards more transparency in data visualization. (shrink)

Purpose This paper aims to describe the popular trends and methods and ICT tools used for mapping and visualization of scientific domains as a research methodology which is attracting more and more interest from scientific information and science studies professionals. Science mapping or bibliometric mapping is a spatial representation of how disciplines, fields, specialties and individual documents or authors. The researchers analysed Bibexel, Pajek, VOSViewer, programmes used for processing and visualization of bibliographic and bibliometric data, within (...) the framework of the implementation of IRNet research network project and activities and presented several examples of visualisation. Design/methodology/approach Among the main indicators of research effectiveness – bibliometric indicators – is a powerful information tool to support the development of science. Practical research methods were prepared using the programs: Bibexel, program Pajek: graph editing and visualization of the graph structure of co-authorship – using the method of Kamada-Kawai and VOSviewer: a computer program for creating maps based on network data and for visualizing and exploring these maps. The main features of VOSviewer can be summarized for creating maps based on network data, visualizing and exploring maps. Findings The cited references and keywords are used to analyse in particular the intellectual base used by the research field or to analyse documents that cite the same references. Originality/value The authors of the paper, who are researchers of the European IRNet project and international research network, described and analysed certain bibliographic results of these activities using methods of mapping and visualization of scientific domains. (shrink)

Many scientific discoveries have depended on external diagrams or visualizations. Many scientists also report to use an internal mental representation or mental imagery to help them solve problems and reason. How do scientists connect these internal and external representations? We examined working scientists as they worked on external scientific visualizations. We coded the number and type of spatial transformations (mental operations that scientists used on internal or external representations or images) and found that there were a very large (...) number of comparisons, either between different visualizations or between a visualization and the scientists’ internal mental representation. We found that when scientists compared visualization to visualization, the comparisons were based primarily on features. However, when scientists compared a visualization to their mental representation, they were attempting to align the two representations. We suggest that this alignment process is how scientists connect internal and external representations. (shrink)

As data-intensive and computational science become increasingly established as the dominant mode of conducting scientific research, visualisations of data and of the outcomes of science become increasingly prominent in mediating knowledge in the scientific arena. This position piece advocates that more attention should be paid to the epistemological role of visualisations beyond their being a cognitive aid to understanding, but as playing a crucial role in the formation of evidence for scientific claims. The new generation of computational (...) and informational visualisations and imaging techniques challenges the philosophy of science to re-think its position on three key distinctions: the qualitative/quantitative distinction, the subjective/objective distinction, and the causal/non-causal distinction. (shrink)

Attempts by 20th century philosophers of science to define inductive concepts and methods concerning the support provided to scientific theories by empirical data have been unsuccessful. Although 20th century philosophers of science largely ignored statistical methods for testing theories, when they did address them they argued against rather than for their use. In contrast, this study demonstrates that traditional statistical methods used for validating computer simulation models provide tests of the scientific theories that those models may embody. This (...) study shows that these statistical methods are applicable regardless of whether the scientific theory or model is deterministic, stochastic, or chaos-based in nature. Traditional statistical methods, such as hypothesis testing, test theories by providing measures of their goodness-of-fit with the portion of the world the theories describe. Nothing more is needed to portray the agreement between theory and the world. Furthermore, the statistical measures of goodness-of-fit are not ampliative inductive measures. Therefore, the ultimate value and direction of the 20 th century ampliative inductive program within philosophy of science is thrown into question. This study also suggests that advanced statistical, visualization, and hybrid quantitative qualitative methods hold promise for offering scientists additional methods for testing scientific theories through validating their computer model representations. As a prerequisite to the above discussions, this study proves that scientific theories, when applied to concrete physical systems, can indeed be represented by computer models. (shrink)

The author has collaborated in research teams to visualize supercomputer simulations and real-time data. She describes these collaborative projects that employ advanced-technology graphics and novel digital displays that include large-format IMAX film, high-definition television productions, and a museum digital dome at the American Museum of Natural History. The popularity of these images and the function that they provide in popular culture are discussed. She also describes two key technologies that she was part of designing: IntelliBadge(tm), a real-time visualization and (...) ‘smart’ tracking system; and Virtual Director(tm), a virtual camera choreography and remote collaboration system. The process of data-visualization involves the mapping of data from numerical form into an iconic representational form in the attempt to provide humans with insight and understanding of a phenomenon. This is discussed in the context of metaphor, cognition, and postcolonial theory. Because data-visualizations carry the ‘weight of scientific accuracy and advanced technology’, most general audiences confuse these visualizations as ‘real’; however, it is argued that data-visualizations are models and metaphors, not reality. In metaphor theory, the mapping of attributes from one domain of information into another is how humans understand, create, and engender new meaning. Data mapping is correlated with this theory. The author explores how the use of mapping information is culturally contingent. In the spirit of scientific inquiry, she deconstructs the very professional activity for which she is most famous. (shrink)

One of the basic reasons for Maurice Merleau-Ponty’s critique of Edmund Husserl’s Wesenschau is represented by what has been defined as the “ambiguity” of the perceiver-perceived relationship, which is the theme of the “phenomenology of perception” developed by the French philosopher. Such ambiguity is in effect constitutive of fundamental perceptive-cognitive relationships; and—in the mature thought of Merleau-Ponty—it also extends, from an ontological point of view, to the “chair du monde” in which being and non-being, visible and invisible, are but two (...) sides of the same “reality.” In this contribution we try to highlight the ambiguous characteristics of corporeal intentionality which render it incompatible with visual perception. And we propose both the necessity and the possibility of eliminating this incompatibility with a new phenomenological approach, which is also consistent with scientific “visualisation.”. (shrink)

Aiming to improve the commercialization efficiency of scientific innovative achievements, this paper utilizes the time series visualization method to construct the time series network of each subsystem. After that, the network similarity is calculated by the cosine similarity theorem. On this basis, a new multilayer network adjacency matrix is obtained. With the adoption of k-core technology, the critical nodes can be identified to study the transformation efficiency of the innovation value in the network. Finally, according to the provincial (...) innovation value transformation data of China from 1998 to 2016, an empirical study was carried out to calculate and analyze the transformation efficiency of innovation achievements in 30 provinces. The results indicate that the transformation efficiency of innovation value can be expressed by the structure of the time series network constructed by the input-output vectors; the mapping relationship of the value transformation vectors could be reflected by the cosine similarity of the time series network, while the transformation efficiency of innovation value could be identified using the k-core; and the transformation efficiency of innovation value in three coastal provinces is relatively higher, while that of the rest of the provinces is roughly the same among the 30 provinces. (shrink)

The term conceptual simulation refers to a type of everyday reasoning strategy commonly called “what if” reasoning. It has been suggested in a number of contexts that this type of reasoning plays an important role in scientific discovery; however, little direct evidence exists to support this claim. This article proposes that conceptual simulation is likely to be used in situations of informational uncertainty, and may be used to help scientists resolve that uncertainty. We conducted two studies to investigate the (...) relationship between conceptual simulation and informational uncertainty. Study 1 was an in vivo study of expert scientists; the results suggest that scientists do use conceptual simulation in situations of informational uncertainty, and that they use conceptual simulation to make inferences from their data using the analogical reasoning process of alignment by similarity detection. Study 2 experimentally manipulated experts' level of uncertainty and provides further support for the hypothesis that conceptual simulation is more likely to be used in situations of informational uncertainty. Finally, we discuss the relationship between conceptual simulation and other types of reasoning using qualitative mental models. (shrink)

While the relation between visualization and scientific understanding has been a topic of long-standing discussion, recent developments in physics have pushed the boundaries of this debate to new and still unexplored realms. For it is claimed that, in certain theories of quantum gravity, spacetime ‘disappears’: and this suggests that one may have sensible physical theories in which spacetime is completely absent. This makes the philosophical question whether such theories are intelligible, even more pressing. And if such theories are (...) intelligible, the question then is how they manage to do so. In this paper, we adapt the contextual theory of scientific understanding, developed by one of us, to fit the novel challenges posed by physical theories without spacetime. We construe understanding as a matter of skill rather than just knowledge. The appeal is thus to understanding, rather than explanation, because we will be concerned with the tools that scientists have at their disposal for understanding these theories. Our central thesis is that such physical theories can provide scientific understanding, and that such understanding does not require spacetimes of any sort. Our argument consists of four consecutive steps: We argue, from the general theory of scientific understanding, that although visualization is an oft-used tool for understanding, it is not a necessary condition for it; we criticise certain metaphysical preconceptions which can stand in the way of recognising how intelligibility without spacetime can be had; we catalogue tools for rendering theories without a spacetime intelligible; and we give examples of cases in which understanding is attained without a spacetime, and explain what kind of understanding these examples provide. (shrink)

While the relation between visualization and scientific understanding has been a topic of long-standing discussion, recent developments in physics have pushed the boundaries of this debate to new and still unexplored realms. For it is claimed that, in certain theories of quantum gravity, spacetime ‘disappears’: and this suggests that one may have sensible physical theories in which spacetime is completely absent. This makes the philosophical question whether such theories are intelligible, even more pressing. And if such theories are (...) intelligible, the question then is how they manage to do so. In this paper, we adapt the contextual theory of scientific understanding, developed by one of us, to fit the novel challenges posed by physical theories without spacetime. We construe understanding as a matter of skill rather than just knowledge. The appeal is thus to understanding, rather than explanation, because we will be concerned with the tools that scientists have at their disposal for understanding these theories. Our central thesis is that such physical theories can provide scientific understanding, and that such understanding does not require spacetimes of any sort. Our argument consists of four consecutive steps: (a) We argue, from the general theory of scientific understanding, that although visualization is an oft-used tool for understanding, it is not a necessary condition for it; (b) we criticise certain metaphysical preconceptions which can stand in the way of recognising how intelligibility without spacetime can be had; (c) we catalogue tools for rendering theories without a spacetime intelligible; and (d) we give examples of cases in which understanding is attained without a spacetime, and explain what kind of understanding these examples provide. (shrink)

Microphotography was one of the earliest applications of photography in science: The first monograph on tissue organization illustrated with microphotographs was published in 1845. In the 1860s, a large number of introductions to scientific microphotography were published by anatomists. They argued that microphotography was a means of documenting the results of microscopic analysis, uncontaminated by the subjectivity of the observer. In the early decades of the 19th century, before the general acceptance of cell theory, such a technique was of (...) special importance, as no criteria were available to distinguish between important and superficial characters in the description of tissue microstructures. Microphotography was praised as the method of choice for documenting the scientific observations of microscopic material. Some of the microphotographic practices described in these early manuals, however, did not conform with the idea of a purely mechanical process of documentation. The authors of these manuals saw photography not as a technique which produced artifacts, but as a complete and reliable substitute for the original preparations. Thus, according to these authors, the artificial world of photography was seen as the actual representation of the microworld. Consequently, they tried to understand the microcosm by analyzing photographs instead of the microscopic preparation themselves. Such attitudes discredited the use of microphotography in the sciences. Consequently, the definitive breakthrough of scientific microphotography was delayed until the 1880s and was largely due to the efforts of Robert Koch, who made microphotography a central tool of bacteriology. (shrink)

La concepción semántica en filosofía de la ciencia propuso las relaciones de isomorfismo (van Fraassen) y semejanza (Giere) para analizar las representaciones científicas. Recientemente, Ibarra y Mormann han sugerido una geometrización de la concepción representacional en filosofía de la ciencia. Este artículo afirma que es precisa una relación mas general (la de homeomorfismo) para reconstruir las representaciones científicas externas que son utilizadas en la practica científica contemporánea, y especialmente en la visualización científica digitalizada.The semantical view on philosophy of science has (...) proposed the relationships of isomorfism (van Fraassen) and similitude (Giere) in order to analyse scientific representations. Recently, Ibarra & Mormann have suggested a geometrization of the representational view on philosophy of science. This contribution claims that a more general relationship (homeomorfism) is needed to reconstruct external representations used in contemporary scientific practice and, specially, in scientific digitalized visualization. (shrink)

Neosentience, a potentially new branch of scientific inquiry related to artificial intelligence, was first suggested in a paper by Bill Seaman as part of a new embodied robotic paradigm, arising out of ongoing theoretical research with Otto E. Rossler. Seaman, artist-researcher, and Rossler, theoretical biologist and physicist, have been examining the potential of generating an intelligent, embodied, multimodal sensing and computational robotic system. Although related to artificial intelligence the goal of this system is the creation of an entity exhibiting (...) a new form of sentience. Its unique qualities will be discussed. Sentience is not yet used in the formal languages of either cognitive science or artificial intelligence. Two related approaches are (1) the generation of artificial minds via parallel processing, in a robotic system; (2) an alternative approach is the generation of an electrochemical computer as a robotic system. Biomimetics, along with state-of-the-art computer visualization is employed. The electrochemical paradigm has a complexity that exceeds standard computational means. The scientific and the poetic elements of the project are motivated by human sentience. The sentient entity is initially modelled on our functional definition of human sentience. The system involves synthetic drives as a new element. We seek to articulate the differences to living brains. This transdisciplinary approach necessitates different forms of inquiry to inform this project such as cognitive science including psychology, education/learning, neuroscience, linguistics, philosophy, anthropology, biology and the arts. We believe that this area of research to be of importance. (shrink)

Pour comprendre ce qui se joue avec la numérisation des productions scientifiques, leur mise en circulation et leur accès, le présent article opère un bref détour par l’histoire des pratiques des chercheurs en termes d’échange de données et de publications. Il se penche ensuite sur les pratiques contemporaines d’acquisition et d’actualisation des connaissances, lesquelles passent aujourd’hui par des réseaux d’ordinateurs, ainsi que par une vaste gamme d’outils de calcul et de visualisation, de réseaux de capteurs, de bases de données, de (...) logiciels d’aide à l’édition, d’outils d’aide au travail coopératif, etc. Ces pratiques de communication évoluent au cours du temps et varient selon les disciplines. Le présent article s’efforce de caractériser ce qu’il en est aujourd’hui, y compris en termes d’accès libre.In delving into the issues that arise from the digitisation of scientific output, circulation and access, this article first makes a brief detour into the history of practices in the exchange of research data and applications. It then explores contemporary practice in acquiring and updating knowledge, which is now dependent on computer networks and a vast range of calculation and visualisation tools, data capture networks, databases, computer assisted publication software, computer supported collaborative work, and so on. Communication practices have evolved over time and vary among disciplines. This article attempts to characterise the situation today, including in the open access field. (shrink)

‘Visualisations play an important role in science’, this seems to be an uncontroversial statement today. Scientists not only use visual representations as means to communicate their research results in publications or talks, but also often as surrogates for their objects of interest during the process of research. Thus, we can make a distinction between two contexts of usage here, namely the explanatory and the exploratory context. The focus of this paper is on the latter one. Obviously, using visualisations as surrogates (...) for their objects of depiction presupposes the assumption that the former can tell us something relevant about the latter. Thus, a particular referential relation between object and image has to be assumed that can transfer the relevant information. Furthermore, as science is a collaborative enterprise – a social activity – this information has to be intersubjectively accessible and stable. Nonetheless, philosophers of science still quarrel about the epistemic and ontological status of such visualisations. After all, they are means to visualise theoretical entities, such as the Higgs Boson, i.e. entities that are principally not observable with the unaided eye. Especially the significant reliance on information technology devices to access this world of the unobservable provokes a lot of suspicion with regard to the referential status of such visualisations. In this sense, quite a few philosophers adopt social constructivism as an explanatory hypothesis. A particular image is constructed with the aid of instruments and theoretical assumptions; hence it does not refer to an entity outside this system. In this paper, I will critically analyse this assumption and try to argue for an alternative point of view. (shrink)

Modern embryology increasingly relies on descriptive and functional three dimensional (3D) and four dimensional (4D) analysis of physically, optically, or virtually sectioned specimens. To cope with the technical requirements, new methods for high detailed in vivo imaging, as well as the generation of high resolution digital volume data sets for the accurate visualisation of transgene activity and gene product presence, in the context of embryo morphology, were recently developed and are under construction. These methods profoundly change the scientific applicability, (...) appearance and style of modern embryo representations. In this paper, we present an overview of the emerging techniques to create, visualise and administrate embryo representations (databases, digital data sets, 3-4D embryo reconstructions, models, etc.), and discuss the implications of these new methods on the work of modern embryologists, including, research, teaching, the selection of specific model organisms, and potential collaborators. (shrink)

History of science's spatial turn has focused on the horizontal dimension, leaving the role of the vertical mostly unexplored as both a condition and object of scientific knowledge production. This special issue seeks to contribute to a burgeoning discussion on the role of verticality in modern sciences, building upon a wider interdisciplinary debate about the importance of the vertical and the volumetric in the making of modern lifeworlds. In this essay and in the contributions that follow, verticality appears as (...) a condition of knowledge production—a set of movements and mobilities, technical challenges, political negotiations, and bodily hardships—and an object of scientific inquiry, requiring new techniques of mapping and visualisation and generative of new insights into physical processes and temporal change. By foregrounding the vertical, historians of science can gain new insights and tell new stories about how science is done in the field, the observatory, and the laboratory, and about how those sciences have helped build a modern, three-dimensional world. (shrink)

I present a case study of scientific discovery, where building two functional and behavioral approximations of neurons, one physical and the other computational, led to conceptual and implementation breakthroughs in a neural engineering laboratory. Such building of external systems that mimic target phenomena, and the use of these external systems to generate novel concepts and control structures, is a standard strategy in the new engineering sciences. I develop a model of the cognitive mechanism that connects such built external systems (...) with internal models, and I examine how new discoveries, and consensus on discoveries, could arise from this external‐internal coupling and the building process. The model is based on the emerging framework of common coding, which proposes a shared representation in the brain between the execution, perception, and imagination of movement. (shrink)

Our lives are increasingly intertwined with the digital realm, and with new technology, new ethical problems emerge. The academic field that addresses these problems—which we tentatively call ‘digital ethics’—can be an important intellectual resource for policy making and regulation. This is why it is important to understand how the new ethical challenges of a digital society are being met by academic research. We have undertaken a scientometric analysis to arrive at a better understanding of the nature, scope and dynamics of (...) the field of digital ethics. Our approach in this paper shows how the field of digital ethics is distributed over various academic disciplines. By first having experts select a collection of keywords central to digital ethics, we have generated a dataset of articles discussing these issues. This approach allows us to generate a scientometric visualisation of the field of digital ethics, without being constrained by any preconceived definitions of academic disciplines. We have first of all found that the number of publications pertaining to digital ethics is exponentially increasing. We furthermore established that whereas one may expect digital ethics to be a species of ethics, we in fact found that the various questions pertaining to digital ethics are predominantly being discussed in computer science, law and biomedical science. It is in these fields, more than in the independent field of ethics, that ethical discourse is being developed around concrete and often technical issues. Moreover, it appears that some important ethical values are very prominent in one field (e.g., autonomy in medical science), while being almost absent in others. We conclude that to get a thorough understanding of, and grip on, all the hard ethical questions of a digital society, ethicists, policy makers and legal scholars will need to familiarize themselves with the concrete and practical work that is being done across a range of different scientific fields to deal with these questions. (shrink)

After a flood of images had started to appear in the sciences, a flood of publications on the subject followed. This is to say, more and more articles, monographs and anthologies are being published which address the epistemic functions of pictures in the sciences. Especially the anthologies on the topic can be regarded as symptomatic of two different developments. On the one hand, they signal a growing interest in scientific visualisations. On the other hand, they react to the complexity (...) or confusion of the debates. At the same time, these anthologies react to the coexisting epistemological interests insofar as they want to give an overview of the different approaches and discussions. This is precisely one of the major merits of the companion Visualisation and Knowledge (Visualisierung und Erkenntnis). Above all, the book is an excellent guide to the topic: It offers an overview of the different kinds of visualisations and their usages on the one hand and of the corresponding theoreti. (shrink)

Immanuel Kant’s Observations on the Feeling of the Beautiful and the Sublime is examined in the context of the emergence of the epistemological practice of scientific observation. By focusing on the genre-stylistic and semantic-structural features of the text the authors demonstrate the mechanisms of observation as well as the methods of describing the results characteristic of mid-eighteenth century science. The authors consider Kant’s treatise to be a hybrid text: on the one hand, it attests to the importance of the (...) natural science paradigm and the degree of its influence on the humanities in the modern period; and, on the other hand, it bears witness to the multi-genre character of philosophical treatises, combining as they do the considered and serious wisdom of philosophy, the precision of scientific terminology and the figurativeness of a work of fiction. Kant is perceived not only as a researcher and philosopher capable of bringing out the essence of the particular and changeable captured in observation, but as a writer with a consummate command of the apparatus for keeping the reader’s attention through linguistic devices and practices of image-creating. The authors demonstrate how the categories of the “beautiful” and “sublime” become a general framework for the description of the moral and mental properties of human nature. The authors show that Kant’s use of “aesthetic” wording in the title of his treatise does not announce that his aim is analysis of artistic perception and practices, but mainly refers to the form of his anthropological study and conceptualisation of scientific knowledge. Kant has transferred the technique of visualisation from natural sciences to the objects of philosophical inquiry, thus contributing to the development in the humanities of representative practices, the scientific method of observation as well as the corresponding epistemic and literary genre. (shrink)

What is the meaning of historical changes to the visualisation of knowledge? This article examines the long history of the Latin grammar from antiquity until early modernity and traces shifts in graphics through hundreds of manuscripts and printed books. It shows how the table—today the most common means for representation of grammatical paradigms—only became a common feature of grammar books in the Renaissance. To account for this visual change requires teasing apart the effects of intellectual from material factors on one (...) of the most basic branches of knowledge and learning. It brings to the fore educational practices which are often unnoticed by scholars and shows how humanism, paper and print interacted in forming a new learning experience. Following the evolution of one schoolbook genre throughout a millennium and a half, the articles challenges some of our notions regarding transmission of ideas and entails some important methodological lessons about dealing with visualisations in scientific texts more generally. Above all, it underscores the importance of cognitive considerations in shaping epistemic genres and whole fields of knowledge. (shrink)

Body experience can be seen as the basis for the formation of the self-concept. The relation between body experience and self-concept is fundamental for human existence and is especially in focus in the fields of psychotherapy and movement activities . But body experience is a "data source" which is difficult to handle scientifically. Body experiences are based on "internal physical sensations" - which Gendlin also describes as the felt meaning or the felt sense, and is not in opposition to phenomenology. (...) To bridge the gap between internal sensations - which are the foundation of the creation of meaning - and language as the medium in both everyday and scientific communication, a form of visualisation technique is introduced to help to evoke descriptions and metaphors that are able to transform body experiences as the pre-reflective mode of information into language as the digital mode of information. Metaphors are the source domain for the target domain body experience . Through the presentation of an empirical project in the field of movement and sport, the theoretical reflections on the process of transforming body experience into language will be exemplified. (shrink)

Scientific collaboration can only be understood along the epistemic and cognitive grounding of scientific disciplines. New scientific discoveries in astrophysics led to a major restructuring of the elite network of astrophysics. To study the interplay of the epistemic grounding and the social network structure of a discipline, a mixed-methods approach is necessary. It combines scientometrics, quantitative network analysis and visualization tools with a qualitative network analysis approach. The centre of the international collaboration network of astrophysics is (...) demarcated by identifying the 225 most productive astrophysicists. For the years 1998–1999 and 2001–2006 four co-authorship networks are constructed comprehending each a two year period. A visualization of the longitudinal network data gives first hints on the structural development of the network. The network of 2005–2006 is analyzed in depth. Based on cohesion analysis tools for network analysis, two main cores and three smaller ones are identified. Scientists in each core and additionally in structurally interesting positions are identified and 17 qualitative expert interviews are conducted with them. The visualization of the network of 2005–2006 is used in the interviews as a stimulus for the interviewees. An analysis of the three most often used keywords of the 225 astrophysicists is included and combined with the other data. The triangulation of these approaches shows that major epistemic changes in astrophysics, e.g. the discovery of the accelerating expansion of the universe, together with technical and organizational innovations, leads to a restructuring of the network of the discipline. The importance of a combination of qualitative and quantitative network analysis tools for the understanding of the interplay of cognitive and social structure in the sociology of science is substantiated. (shrink)

This paper examines creative strategies employed inscientific modelling. It is argued that being creativepresents not a discrete event, but rather an ongoingeffort consisting of many individual `creative acts''.These take place over extended periods of time andcan be carried out by different people, working ondifferent aspects of the same project. The example ofextended extragalactic radio sources shows that, inorder to model a complicated phenomenon in itsentirety, the modelling task is split up into smallerproblems that result in several sub-models. This is away (...) of using cognitive resources efficiently and in away which overcomes their limitations. Another aspectof modelling that requires creativity is theemployment of visualisation in order to reassemble,i.e. recreate the unity of, the various sub-models bymeans of visualisation. This illustrates how thecreative effort required to deal with the complexityof the complicated phenomenon of radio sources ischannelled in order to use cognitive resourcesefficiently and to stay within their capacity. (shrink)

List of Illustrations Introduction 1 The Didactic and the Elegant: Some Thoughts on Scientific and Technological Illustrations in the Middle Ages and Renaissance 3 2 Temples of the Body and Temples of the Cosmos: Vision and Visualization in the Vesalian and Copernican Revolutions 40 3 Descartes’s Scientific Illustrations and ’la grande mecanique de la nature’ 86 4 Illustrating Chemistry 135 5 Representations of the Natural System in the Nineteenth Century 164 6 Visual Representation in Archaeology: Depicting the (...) Missing-Link in Human Origins 184 7 Towards an Epistemology of Scientific Illustration 215 8 Illustration and Inference 250 9 Visual Models and Scientific Judgment 269 10 Are Pictures Really Necessary? The Case of Sewall Wright’s ’Adaptive Landscapes’ 303 Bibliography 339 Notes on Contributors 373 Index 377. (shrink)

This article explains the main theoretical aspects of legal ethics, identifies the nature and intellectual structures of legal ethics research, and examines the occurrences, relationships, interconnections, developments and emerging trends of the topic of legal ethics in global legal research, using one of the methods of scientometrics – bibliometric analysis. The annual growth of legal research outputs indexed by Scopus was about 7% over the entire period of study (1991–2020). The most popular type of research outputs in the field of (...) legal ethics are research articles. A multidisciplinary scope of scholarly sources on legal ethics reveals the scholarly development of each field/scientific branch that is both unique and integrated with law and legal ethics, unfolds multifaceted perspectives of legal ethics research, and a contextual sociolegal approach to legal ethics as a social, societal, and political expression. Legal ethics is a much broader and more complex phenomenon than simply a set of codes/rules of ethics and requires integrated research: from an understanding of the particular impact and significance of legal education, ethical rules, and personal morality to ethical decision-making processes, cognitive and social factors. (shrink)

This article explains the main theoretical aspects of legal ethics, identifies the nature and intellectual structures of legal ethics research, and examines the occurrences, relationships, interconnections, developments and emerging trends of the topic of legal ethics in global legal research, using one of the methods of scientometrics – bibliometric analysis. The annual growth of legal research outputs indexed by Scopus was about 7% over the entire period of study (1991–2020). The most popular type of research outputs in the field of (...) legal ethics are research articles. A multidisciplinary scope of scholarly sources on legal ethics reveals the scholarly development of each field/scientific branch that is both unique and integrated with law and legal ethics, unfolds multifaceted perspectives of legal ethics research, and a contextual sociolegal approach to legal ethics as a social, societal, and political expression. Legal ethics is a much broader and more complex phenomenon than simply a set of codes/rules of ethics and requires integrated research: from an understanding of the particular impact and significance of legal education, ethical rules, and personal morality to ethical decision-making processes, cognitive and social factors. (shrink)

An authoritative and accessible book by a qualified scientist, showing incredible proof of the mind-body connection. There is no longer any doubt that the way we think affects our bodies: countless scientific studies have shown this to be true. For former pharmaceutical scientist Dr David Hamilton, the testing of new drugs highlighted how profoundly the mind and body are connected. Time and time again, the control group of patients in drug trials improved at similar rates to those who actually (...) received the medicines. Astounded, Dr Hamilton decided to change the direction of his work to explore the relationship between the mind and the body. This bestselling acclaimed book was first published 10 years ago. In it, Dr Hamilton explores the effect of visualization, belief and positive thinking on the body, and shows how using our imagination and mental processes can stimulate our own defences and healing systems to combat disease, pain and illness. In this new edition, Dr Hamilton has added four new chapters to discuss the latest cutting-edge information and extraordinary new techniques. These include using imagery to stimulate the immune system - a method that can benefit cancer patients undergoing conventional treatment - effectively using the mind to speed up rehabilitation from stroke, and powerful visualization strategies to help facilitate recovery from injury and illness. (shrink)

Sounds are heard, sometimes even felt, but in most cases they remain unseen. This ephemeral and invisible nature of sound was already considered a problem when the science of acoustics took form in the seventeenth century. The fact that sound could not be seen was described as a significant hindrance to its understanding. But it was precisely during this time that a wide variety of sounds attracted broad scientific attention across Europe. Scholars, natural philosophers, and mathematicians investigated and experimented (...) with sound and musical instruments and developed theories of hearing. This article looks at the role of images, diagrams, and visualization techniques in late seventeenth-century acoustics, bringing together the history of sound and the history of scientific images. Focusing on water and light as the dominant analogies for sound, the article demonstrates that visualization was an important tool for thinking about sound and allowed for the circulation of theories and experiments. At the same time, the epistemic status of these images remained contested, as there was no single model that could explain the different ways sound behaves as it moves through space and that could be visualized. (shrink)

In Search of Lost Culture: From Neuroimaging via Critical Neuroscience to Cultural Neuroscience – and back to Critique. The availability of new technologies for visualizing brain activity generated great expectations to identify the centers responsible for human action and behavior and to “reduce” all mental processes to neuronal states. Some scientists even called society to adapt to the new insights from brain research by giving up outdated concepts of autonomy and free will. This project spurred harsh critiques from philosophy, sociology, (...) and cultural studies, diagnosing the rise of a new phrenology. A critical neuroscience group took up these criticisms and pledged for a more nuanced reflection about the political, historical and ethical contexts and implications of current neuroscience and argued for an integration of societal concerns into the research agenda – rather similar to the agenda for responsible research of the EU. With the development of more sophisticated visualization strategies, new sub‐disciplines emerged, integrating sociocultural aspects into neuroimaging. Social and cultural neuroscience replaced overstated reductionist claims without leaving the overarching naturalist epistemology, but extending the ontological realm. New research objects such as empathy, religion or ‘Western’ vs. ‘East‐Asian’ attitudes of thinking started to populate the research domain. Especially cultural neuroscience was widely celebrated as new scientific bridge across the nature‐culture gulf. A closer look, however, reveals that this claim and the popular success of cultural neuroscience are based on a decisive lack of conceptual clarity. ‘Culture’ functions as fuzzy denominator for a broad range of social phenomena with unknown links to neurophysiological processes but visualized as brain states. Instead of implementing more reflexive forms of research, cultural neuroscience stabilizes problematic stereotypes and racist attitudes by an expansion of neuro‐culture. In light of this deflation of interdisciplinary cooperation a more radical critique of this ideology seems in place. (shrink)