Six Stories From The End Of Representation

Six Stories is a radically new look at the intersection of science and art through “failed” images.

Representation is a concern crucial to the sciences and the arts alike. Scientists devote substantial time to devising and exploring representations of all kinds. From photographs and computer-generated images to diagrams, charts, and graphs; from scale models to abstract theories, representations are ubiquitous in, and central to, science. Likewise, after spending much of the twentieth century in proverbial exile as abstraction and Formalist aesthetics reigned supreme, representation has returned with a vengeance to contemporary visual art. Representational photography, video and ever-evolving forms of new media now figure prominently in the globalized art world, while this "return of the real" has re-energized problems of representation in the traditional media of painting and sculpture. If it ever really left, representation in the arts is certainly back. Central as they are to science and art, these representational concerns have been perceived as different in kind and as objects of separate intellectual traditions. Scientific modeling and theorizing have been topics of heated debate in twentieth century philosophy of science in the analytic tradition, while representation of the real and ideal has never moved far from the core humanist concerns of historians of Western art. Yet, both of these traditions have recently arrived at a similar impasse. Thinking about representation has polarized into oppositions between mimesis and convention. Advocates of mimesis understand some notion of mimicry (or similarity, resemblance or imitation) as the core of representation: something represents something else if, and only if, the former mimics the latter in some relevant way. Such mimetic views stand in stark contrast to conventionalist accounts of representation, which see voluntary and arbitrary stipulation as the core of representation. Occasional exceptions only serve to prove the rule that mimesis and convention govern current thinking about representation in both analytic philosophy of science and studies of visual art. This conjunction can hardly be dismissed as a matter of mere coincidence. In fact, researchers in philosophy of science and the history of art have increasingly found themselves trespassing into the domain of the other community, pilfering ideas and approaches to representation. Cognizant of the limitations of the accounts of representation available within the field, philosophers of science have begun to look outward toward the rich traditions of thinking about representation in the visual and literary arts. Simultaneously, scholars in art history and affiliated fields like visual studies have come to see images generated in scientific contexts as not merely interesting illustrations derived from "high art", but as sophisticated visualization techniques that dynamically challenge our received conceptions of representation and aesthetics. "Beyond Mimesis and Convention: Representation in Art and Science" is motivated by the conviction that we students of the sciences and arts are best served by confronting our mutual impasse and by recognizing the shared concerns that have necessitated our covert acts of kleptomania. Drawing leading contributors from the philosophy of science, the philosophy of literature, art history and visual studies, our volume takes its brief from our title. That is, these essays aim to put the evidence of science and of art to work in thinking about representation by offering third (or fourth, or fifth) ways beyond mimesis and convention. In so doing, our contributors explore a range of topics-fictionalism, exemplification, neuroaesthetics, approximate truth-that build upon and depart from ongoing conversations in philosophy of science and studies of visual art in ways that will be of interest to both interpretive communities. To put these contributions into context, the remainder of this introduction aims to survey how our communities have discretely arrived at a place wherein the perhaps-surprising collaboration between philosophy of science and art history has become not only salubrious, but a matter of necessity.

How the use of machine learning to analyze art images has revived formalism in art history, presenting a golden opportunity for art historians and computer scientists to learn from one another. Though formalism is an essential tool for art historians, much recent art history has focused on the social and political aspects of art. But now art historians are adopting machine learning methods to develop new ways to analyze the purely visual in datasets of art images. Amanda Wasielewski uses the term “computational formalism” to describe this use of machine learning and computer vision technique in art historical research. At the same time that art historians are analyzing art images in new ways, computer scientists are using art images for experiments in machine learning and computer vision. Their research, says Wasielewski, would be greatly enriched by the inclusion of humanistic issues. The main purpose in applying computational techniques such as machine learning to art datasets is to automate the process of categorization using metrics such as style, a historically fraught concept in art history. After examining a fifteen-year trajectory in image categorization and art dataset creation in the fields of machine learning and computer vision, Wasielewski considers deep learning techniques that both create and detect forgeries and fakes in art. She investigates examples of art historical analysis in the fields of computer and information sciences, placing this research in the context of art historiography. She also raises questions as which artworks are chosen for digitization, and of those artworks that are born digital, which works gain acceptance into the canon of high art.

How can cartoon images aid in understanding bacterial biological processes? What prompts physicists to blur their images before showing them to biologists? Considering that the astronomer’s data consists solely of invisible, electric impulses, what is the difference between representing outer space as images, graphs, or sound? How does a work of contemporary art differ from a scientific image if we cannot visually distinguish between the two? How do aesthetics, art, and design influence scientific visualization and vice versa? This volume asks critically important questions about scientific data representation and provides significant insights to a field that is interdisciplinary in its very core. The authors investigate scientific data representation through the joint optics of the humanities and natural sciences. The volume particularly appeals to scholars in visual and aesthetic studies, data visualization, scientific illustration, experience culture, information design, and science communication.

Although post-structuralism has highlighted the importance of what is offstage, lost, forgotten, hidden or discarded, silent or silenced, the poetics and politics of absence (much like its ethics and aesthetics) have rarely been discussed across media or disciplines. The book conceptualizes 'radical absence' to describe a certain tradition of resistance to ontology, predication, and representation, contesting their reliance on a metaphysics of presence. Apophatic speech, empty signifiers, and figural voids are some of the figures through which radical absence becomes apparent, with unprecedented intensity, in 20th-century theory, literature, film, and the arts. Phantasmatic and outrageous, such figures play with creative strategies of de-materialization, irony, and other forms of discursive undoing. Therefore, absence becomes more than a simple theme; it reflects back on the medium and the meaning-making conditions under which it operates. Elusive and imprecise as an object of study, absence is in need of more subtle and flexible epistemological frameworks. The author proposes to think it not only as a counter-concept for presence, but also - perhaps more productively - as infinite spacing, deferral, fragmentation, and displacement.

Scholars from science, art, and humanities explore the meaning of our new image worlds and offer new strategies for visual analysis. We are surrounded by images as never before: on Flickr, Facebook, and YouTube; on thousands of television channels; in digital games and virtual worlds; in media art and science. Without new efforts to visualize complex ideas, structures, and systems, today's information explosion would be unmanageable. The digital image represents endless options for manipulation; images seem capable of changing interactively or even autonomously. This volume offers systematic and interdisciplinary reflections on these new image worlds and new analytical approaches to the visual. Imagery in the 21st Century examines this revolution in various fields, with researchers from the natural sciences and the humanities meeting to achieve a deeper understanding of the meaning and impact of the image in our time. The contributors explore and discuss new critical terms of multidisciplinary scope, from database economy to the dramaturgy of hypermedia, from visualizations in neuroscience to the image in bio art. They consider the power of the image in the development of human consciousness, pursue new definitions of visual phenomena, and examine new tools for image research and visual analysis.

Challenges the conventional view of a “disenchanted” and secular modernity, and recovers the complex relation that exists between science, religion, and esotericism in the modern world. Max Weber famously characterized the ongoing process of intellectualization and rationalization that separates the natural world from the divine (by excluding magic and value from the realm of science, and reason and fact from the realm of religion) as the “disenchantment of the world.” Egil Asprem argues for a conceptual shift in how we view this key narrative of modernity. Instead of a sociohistorical process of disenchantment that produces increasingly rational minds, Asprem maintains that the continued presence of “magic” and “enchantment” in people’s everyday experience of the world created an intellectual problem for those few who were socialized to believe that nature should contain no such incalculable mysteries. Drawing on a wide range of early twentieth-century primary sources from theoretical physics, occultism, embryology, radioactivity, psychical research, and other fields, Asprem casts the intellectual life of high modernity as a synchronic struggle across conspicuously different fields that shared surprisingly similar intellectual problems about value, meaning, and the limits of knowledge. Egil Asprem is Associate Professor of History of Religions at the Department of Ethnology, History of Religions, and Gender Studies, Stockholm University, and the author of Arguing with Angels: Enochian Magic and Modern Occulture, also published by SUNY Press.

In science and technology, the images used to depict ideas, data, and reactions can be as striking and explosive as the concepts and processes they embody—both works of art and generative forces in their own right. Drawing on a close dialogue between the histories of art, science, and technology, The Technical Image explores these images not as mere illustrations or examples, but as productive agents and distinctive, multilayered elements of the process of generating knowledge. Using beautifully reproduced visuals, this book not only reveals how scientific images play a constructive role in shaping the findings and insights they illustrate, but also—however mechanical or detached from individual researchers’ choices their appearances may be—how they come to embody the styles of a period, a mindset, a research collective, or a device. Opening with a set of key questions about artistic representation in science, technology, and medicine, The Technical Image then investigates historical case studies focusing on specific images, such as James Watson’s models of genes, drawings of Darwin’s finches, and images of early modern musical automata. These case studies in turn are used to illustrate broad themes ranging from “Digital Images” to “Objectivity and Evidence” and to define and elaborate upon fundamental terms in the field. Taken as a whole, this collection will provide analytical tools for the interpretation and application of scientific and technological imagery.