We tend to identify “real” knowledge of nature with science, and for good reasons. The sciences have developed unique ways of disclosing and modifying the intricate workings of nature, building on quantitative, experimental and technologically advanced styles of thinking. Scientific research has produced robust and reliable forms of knowledge, using methodologies that are often remarkably transparent and verifiable. At the same time, laboratories and other research settings are highly artificial environments, constituting drastically modified versions of reality, allowing nature to emerge (...) in a particular way. This book starts from the conviction that there are other ways of knowing about nature besides science. Notably, literary documents (novels, plays, poems) on nature and natural entities (landscapes, animals, plant forms) often convey careful analyses and observations, quite elaborate and true to life. Comparative epistemology is the discipline that tries to assess, in a critical manner, the relative validity and value of various knowledge forms. This volume presents a series of case studies in comparative epistemology, critically comparing the works of prominent representative of the life sciences (such as Aristotle, Darwin, Mendel and many others) with the writings of their literary counterparts (such as Andersen, Melville, Verne, Ibsen, and many others). The book aims to contribute to the expanding field of Science and Literature Studies, allowing basic insights from the sciences and the humanities to mutually challenge and enlighten one another. (shrink)

When the Human Genome Project (HGP) was launched, our genome was presented as our ‘blueprint’, a metaphor reflecting a genetic deterministic epistemology. Eventually, however, the HGP undermined rather than strengthened the understanding of genomes as blueprints and of genes as ultimate causal units. A symbolical turning point was the discovery that the human genome only contains 22,500 genes. Initially, this was seen as a narcissistic offence. Gradually, however, it strengthened the shift from traditional genetics and biotechnology (i.e., gene-oriented approaches) to (...) genomics, i.e. genome-oriented or systems approaches, emphasizing complexity. The 20th century can be regarded as the century of biotechnology and of the gene. Its history demonstrated that the will to know (notably: to know ourselves) has never been a disinterested affair: it is driven by a will to improve (notably: to improve ourselves). In this article it is claimed that, as genomics takes us beyond a genetic deterministic understanding of life, this must have consequences for societal research and debate as well. Policies for self-improvement will increasingly rely on the use of complex interpretation. Therefore, the emphasis must shift from issues such as genetic manipulation and human enhancement to issues involved in governance of novel forms of information. (shrink)

In the most inclusive sense, psychological mechanisms offer a type of causal explanation of mental states and behavior, often with reference to underlying processes, systems, activities, or entities. By postulating and investigating such mechanisms, researchers have sought explanations of a wide range of psychological phenomena. However, the concept has been deployed in dramatically different ways, with very different meanings, depending upon the particular school or tradition of psychology (and specific research program therein). In fact, usage has been so diverse as (...) to defy easy categorization or definition. But a historical perspective, even if rather selective, can trace the broad outlines of the significance of psychological mechanisms for the study of the mind. Perhaps most notable is the role they have played in the psychoanalytic tradition; research efforts within behaviorism and cognitive science have also made liberal use of versions of the concept in their explanatory frameworks (for discussion of evolutionary psychology, see the entry “evolved psychological mechanisms”). Cutting across all of these traditions are several key themes relating to psychological mechanisms, including questions concerning the scope of the relevant causal claims, debates about causal determinism and regularity, and the unresolved relation between mind and body. (shrink)

Understanding modeling in biology requires understanding how biology is organized as a discipline and how this organization influences the research practices of biologists. Biology includes a wide range of sub-disciplines, such as cell biology, population biology, evolutionary biology, molecular biology, and systems biology among others. Biologists in sub-disciplines such as cell, molecular, and systems biology believe that the use of a few experimental models allows them to discover biological universals, whereas biologists in sub-disciplines such as ecology and evolutionary biology believe (...) that the use of many different experimental and mathematical models is necessary in order to do this. Many practitioners of both approaches misunderstand best practices of modeling, especially those related to model testing. We stress the need for biologists to better engage with best practices and for philosophers of biology providing normative guidance for biologists to better engage with current developments in biology. This is especially important as biology transitions from a “data-poor” to a “data-rich” discipline. If 21st century biology is going to capitalize on the unprecedented availability of ecological, evolutionary, and molecular data, of computational resources, and of mathematical and statistical tools, biologists will need a better understanding of what modeling is and can be. (shrink)

Since the early nineteenth century a membrane or wall has been central to the cell’s identity as the elementary unit of life. Yet the literally and metaphorically marginal status of the cell membrane made it the site of clashes over the definition of life and the proper way to study it. In this article I show how the modern cell membrane was conceived of by analogy to the first “artificial cell,” invented in 1864 by the chemist Moritz Traube (1826–1894), and (...) reimagined by the plant physiologist Wilhelm Pfeffer (1845–1920) as a precision osmometer. Pfeffer’s artificial cell osmometer became the conceptual and empirical basis for the law of dilute solutions in physical chemistry, but his use of an artificial analogue to theorize the existence of the plasma membrane as distinct from the cell wall prompted debate over whether biology ought to be more closely unified with the physical sciences, or whether it must remain independent as the science of life. By examining how the histories of plant physiology and physical chemistry intertwined through the artificial cell, I argue that modern biology relocated vitality from protoplasmic living matter to nonliving chemical substances—or, in broader cultural terms, that the disenchantment of life was accompanied by the (re)enchantment of ordinary matter. (shrink)