Perspectives On Classification In Synthetic Sciences
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Perspectives on Classification in Synthetic Sciences
This volume launches a new series of contemporary conversations about scientific classification. Most philosophical conversations about kinds have focused centrally or solely on natural kinds, that is, kinds whose existence is not dependent on the scientific process of synthesis. This volume refocuses conversations about classification on unnatural, or synthetic, kinds via extensive study of three paradigm cases of unnatural kinds: nanomaterials, stem cells, and synthetic biology.
The Routledge Handbook of Philosophy of Scientific Modeling
Models and modeling have played an increasingly important role in philosophy, going back to the nineteenth century. While philosophical interest in models has been remarkably lively over the last two decades, there are still many underexplored questions. The Routledge Handbook of Philosophy of Scientific Modeling is an outstanding reference source and guide to this fast-growing area and is the first volume of its kind. Comprised of 40 specially commissioned chapters by an international team of contributors, the Handbook is organized into five clear parts: Historical and General Perspectives Philosophical Accounts of Modeling Methodological Aspects: Model Construction, Evaluation, and Calibration Related Topics Modeling in the Wild. Within these parts, the Handbook covers a diverse range of topics, including historical perspectives on modeling, the relationship between models, theories, representation, idealization, and understanding, and related topics like big data, simulation, and statistical and computational modeling. Different kinds of models are discussed, for example, network models, financial models, and climate and synthetic models. The Routledge Handbook of Philosophy of Scientific Modeling is essential reading for students and scholars of philosophy of science, formal epistemology, and philosophy of social sciences. It is also a valuable resource for those in related fields such as computer science and information technology.
Perspectival Realism
"What does it mean to be a realist about science if one takes seriously the view that scientific knowledge is always perspectival, namely historically and culturally situated? In this book, Michela Massimi articulates an original answer to this question. The book begins with an exploration of how scientific communities often resort to several models and a plurality of practices in some areas of inquiry, drawing on examples from nuclear physics, climate science, and developmental psychology. Taking this plurality in science as a starting point, Massimi explains the perspectival nature of scientific representation, the role of scientific models as inferential blueprints, and the variety of scientific realism that naturally accompanies such a view. Perspectival realism is realism about phenomena (rather than about theories or unobservable entities). The book defends this novel realist view, which places epistemic communities and their situated knowledge center stage. The result is a portrait of scientific knowledge as a collaborative inquiry, where the reliability of science is made possible by a plurality of historically and culturally situated scientific perspectives. Along the way, Massimi offers insights into the nature of scientific modelling, scientific knowledge qua modal knowledge, data-to-phenomena inferences, and natural kinds as sortal concepts. Perspectival realism is ultimately realism that takes the multicultural nature of science seriously and couples it with cosmopolitan duties about how one ought to think about scientific knowledge and the distribution of the benefits resulting from scientific advancements"--