Im Gegensatz zu landläufigen Vorstellungen sind wissenschaftliche Wissensbestände häufig prekäre Ressourcen. Sie können in bestimmten Situationen aus epistemischen Gründen schwach sein, weil Begründungen oder empirische Evidenz problematisch sind. In anderen Situationen fehlt die kulturelle und soziale Anerkennung oder das fragliche Wissen bleibt schwach, weil es nicht gelingt, es praktisch nutzbar zu machen. Der Band versammelt Beiträge aus allen historischen Epochen und aus einem breiten Spektrum von Wissensgebieten - von der Medizin bis zur Klimatologie.

Im Gegensatz zu landläufigen Vorstellungen sind wissenschaftliche Wissensbestände häufig prekäre Ressourcen. Sie können in bestimmten Situationen aus epistemischen Gründen schwach sein, weil Begründungen oder empirische Evidenz problematisch sind. In anderen Situationen fehlt die kulturelle und soziale Anerkennung oder das fragliche Wissen bleibt schwach, weil es nicht gelingt, es praktisch nutzbar zu machen. Der Band versammelt Beiträge aus allen historischen Epochen und aus einem breiten Spektrum von Wissensgebieten - von der Medizin bis zur Klimatologie.

The second edition of Jack Crumley’s An Introduction to Epistemology strikes a balance between the many issues that engage contemporary epistemologists and the contributions of the major historical figures. He shows not only how philosophers such as Descartes, Hume, Locke, Berkeley, and Kant foreground the contemporary debates, but also why they deserve consideration on their own terms. A substantial revision of the first edition, the second edition is even more accessible to students. The new edition includes recent work on contextualism, evidentialism, externalism and internalism, and perceptual realism; as well, the chapter on coherence theory is substantially revised, reflecting recent developments in that area. New to this second edition is a chapter on feminist epistemology, which includes discussions of major positions and themes, such as feminist empiricism, feminist standpoint epistemology, postmodern epistemology, and feminist critiques of objectivity. It presents the important contributions of philosophers such as Sandra Harding, Helen Longino, Genevieve Lloyd, and others. Each chapter ends with a list of study questions and readings for further study.

This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms. The book engages a wealth of methods of Computational Intelligence along with well-known techniques of linear programming, Formal Concept Analysis, machine learning, and agent modeling. Human-centricity is of paramount relevance and this facet manifests in many ways including personalized semantics, trust metric, and personal knowledge management; just to highlight a few of these aspects. The contributors to this volume report on various essential applications including cyber attacks detection, building enterprise social networks, business intelligence and forming collaboration schemes. Given the subject area, this book is aimed at a broad audience of researchers and practitioners. Owing to the nature of the material being covered and a way it is organized, the volume will appeal to the well-established communities including those active in various disciplines in which social networks, their analysis and optimization are of genuine relevance. Those involved in operations research, management, various branches of engineering, and economics will benefit from the exposure to the subject matter.

This book provides novel and in-depth perspectives on evaluating environment and sustainability issues in developing countries. Evaluating Environment in International Development focuses on the approaches and experiences of leading international organizations, not-for-profits, and multilateral and bilateral aid agencies to illustrate how systematic evaluation is an essential tool for providing evidence for decision-makers. Moving beyond projects and programmes, it explores normative work on the environment as well as environmental consequences of economic and social development efforts. This new edition reflects on the 2030 Agenda for Sustainable Development and Sustainable Development Goals and considers how they have influenced efforts in a wide range of countries and what the implications are for evaluation. It also explores ways in which Big Data and geospatial approaches might be utilized. Significantly updated throughout to reflect recent developments in climate change research, and on the implications of the 2020 pandemic, this volume will be of great interest to students and scholars of environment studies, development studies, international relations, sustainable development and evaluation, as well as practitioners in international organizations and development and environmental NGOs. The Open Access version of this book, available at http://www.taylorfrancis.com/books/9781003094821, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Risk science is becoming increasingly important as businesses, policymakers and public sector leaders are tasked with decision-making and investment using varying levels of knowledge and information. Risk Science: An Introduction explores the theory and practice of risk science, providing concepts and tools for understanding and acting under conditions of uncertainty. The chapters in this book cover the fundamental concepts, principles, approaches, methods and models for how to understand, assess, communicate, manage and govern risk. These topics are presented and examined in a way which details how they relate, for example, how to characterize and communicate risk with particular emphasis on reflecting uncertainties; how to distinguish risk perception and professional risk judgments; how to assess risk and guide decision-makers, especially for cases involving large uncertainties and value differences; and how to integrate risk assessment with resilience-based strategies. The text provides a variety of examples and case studies that relate to highly visible and relevant issues facing risk academics, practitioners and non-risk leaders who must make risk-related decisions. This revised and updated second edition features an entirely new chapter on the integrity and quality of risk studies, and dealing with misinformation in the context of risk. Presenting both the foundational and most recent advancements in the subject matter, this work particularly suits students of risk science courses at college and university level. The book also provides broader key reading for students and scholars in other domains, including business, engineering and public health.