In the early nineteenth century, chemistry emerged in Europe as a truly experimental discipline. What set this process in motion, and how did it evolve? Experimentalization in chemistry was driven by a seemingly innocuous tool: the sign system of chemical formulas invented by the Swedish chemist Jacob Berzelius. By tracing the history of this “paper tool,” the author reveals how chemistry quickly lost its orientation to natural history and became a major productive force in industrial society. These formulas were not merely a convenient shorthand, but productive tools for creating order amid the chaos of early nineteenth-century organic chemistry. With these formulas, chemists could create a multifaceted world on paper, which they then correlated with experiments and the traces produced in test tubes and flasks. The author’s semiotic approach to the formulas allows her to show in detail how their particular semantic and representational qualities made them especially useful as paper tools for productive application.

In the early nineteenth century, chemistry emerged in Europe as a truly experimental discipline. What set this process in motion, and how did it evolve? Experimentalization in chemistry was driven by a seemingly innocuous tool: the sign system of chemical formulas invented by the Swedish chemist Jacob Berzelius. By tracing the history of this "paper tool," the author reveals how chemistry quickly lost its orientation to natural history and became a major productive force in industrial society. These formulas were not merely a convenient shorthand, but productive tools for creating order amid the chaos of early nineteenth-century organic chemistry. With these formulas, chemists could create a multifaceted world on paper, which they then correlated with experiments and the traces produced in test tubes and flasks. The author's semiotic approach to the formulas allows her to show in detail how their particular semantic and representational qualities made them especially useful as paper tools for productive application.

This volume establishes the conceptual foundation for sustained investigation into tool development in neuroscience. Neuroscience relies on diverse and sophisticated experimental tools, and its ultimate explanatory target—our brains and hence the organ driving our behaviors—catapults the investigation of these research tools into a philosophical spotlight. The chapters in this volume integrate the currently scattered work on tool development in neuroscience into the broader philosophy of science community. They also present an accessible compendium for neuroscientists interested in the broader theoretical dimensions of their experimental practices. The chapters are divided into five thematic sections. Section 1 discusses the development of revolutionary research tools across neuroscience’s history and argues to various conclusions concerning the relationship between new research tools and theory progress in neuroscience. Section 2 shows how a focus on research tools and their development in neuroscience transforms some traditional epistemological issues and questions about knowledge production in philosophy of science. Section 3 speaks to the most general questions about the way we characterize the nature of the portion of the world that this science addresses. Section 4 discusses hybrid research tools that integrate laboratory and computational methods in exciting new ways. Finally, Section 5 extends research on tool development to the related science of genetics. The Tools of Neuroscience Experiment will be of interest to philosophers and philosophically minded scientists working at the intersection of philosophy and neuroscience.

Working with Paper builds on a growing interest in the materials of science by exploring the gendered uses and meanings of paper tools and technologies, considering how notions of gender impacted paper practices and in turn how paper may have structured knowledge about gender. Through a series of dynamic investigations covering Europe and North America and spanning the early modern period to the twentieth century, this volume breaks new ground by examining material histories of paper and the gendered worlds that made them. Contributors explore diverse uses of paper—from healing to phrenological analysis to model making to data processing—which often occurred in highly gendered, yet seemingly divergent spaces, such as laboratories and kitchens, court rooms and boutiques, ladies’ chambers and artisanal workshops, foundling houses and colonial hospitals, and college gymnasiums and state office buildings. Together, they reveal how notions of masculinity and femininity became embedded in and expressed through the materials of daily life. Working with Paper uncovers the intricate negotiations of power and difference underlying epistemic practices, forging a material history of knowledge in which quotidian and scholarly practices are intimately linked.

Fourteen chapters provide insights into the efforts of 19th- and 20th-century scientists to construct working representations of invisible objects, such as the structural formula of a dye, a three- dimensional model of a protein, or a table conveying relationships between chemical elements. The essays focus on scientists' pragmatic use of representation, exploring the concrete ways that scientists implement sign systems as productive tools both to achieve and to shape their organizational goals. Editor Klein is associated with the Max Planck Institute for the History of Science, Berlin. Annotation copyrighted by Book News Inc., Portland, OR.

Recent developments in computer technology are providing historians with new ways to see—and seek to hear, touch, or smell—traces of the past. Place-based augmented reality applications are an increasingly common feature at heritage sites and museums, allowing historians to create immersive, multifaceted learning experiences. Now that computer vision can be directed at the past, research involving thousands of images can recreate lost or destroyed objects or environments, and discern patterns in vast datasets that could not be perceived by the naked eye. Seeing the Past with Computers is a collection of twelve thought-pieces on the current and potential uses of augmented reality and computer vision in historical research, teaching, and presentation. The experts gathered here reflect upon their experiences working with new technologies, share their ideas for best practices, and assess the implications of—and imagine future possibilities for—new methods of historical study. Among the experimental topics they explore are the use of augmented reality that empowers students to challenge the presentation of historical material in their textbooks; the application of seeing computers to unlock unusual cultural knowledge, such as the secrets of vaudevillian stage magic; hacking facial recognition technology to reveal victims of racism in a century-old Australian archive; and rebuilding the soundscape of an Iron Age village with aural augmented reality. This volume is a valuable resource for scholars and students of history and the digital humanities more broadly. It will inspire them to apply innovative methods to open new paths for conducting and sharing their own research.

This book provides both an introduction to the philosophy of scientific modeling and a contribution to the discussion and clarification of two recent philosophical conceptions of models: artifactualism and fictionalism. These can be viewed as different stances concerning the standard representationalist account of scientific models. By better understanding these two alternative views, readers will gain a deeper insight into what a model is as well as how models function in different sciences. Fictionalism has been a traditional epistemological stance related to antirealist construals of laws and theories, such as instrumentalism and inferentialism. By contrast, the more recent fictional view of models holds that scientific models must be conceived of as the same kind of entities as literary characters and places. This approach is essentially an answer to the ontological question concerning the nature of models, which in principle is not incompatible with a representationalist account of the function of models. The artifactual view of models is an approach according to which scientific models are epistemic artifacts, whose main function is not to represent the phenomena but rather to provide epistemic access to them. It can be conceived of as a non-representationalist and pragmatic account of modeling, which does not intend to focus on the ontology of models but rather on the ways they are built and used for different purposes. The different essays address questions such as the artifactual view of idealization, the use of information theory to elucidate the concepts of abstraction and idealization, the deidealization of models, the nature of scientific fictions, the structural account of representation and the ontological status of structures, the role of surrogative reasoning with models, and the use of models for explaining and predicting physical phenomena.