Scientific Collaboration And Collective Knowledge

Current scientific research almost always requires collaboration among several (if not several hundred) specialized researchers. When scientists co-author a journal article, who deserves credit for discoveries or blame for errors? How should scientific institutions promote fruitful collaborations among scientists? In this work, leading philosophers of science address these critical questions

This book investigates how collaborative scientific practice yields scientific knowledge. At a time when most of today’s scientific knowledge is created in research groups, the author reconsiders the social character of science to address the question of whether collaboratively created knowledge should be considered as collective achievement, and if so, in which sense. Combining philosophical analysis with qualitative empirical inquiry, this book provides a comparative case study of mono- and interdisciplinary research groups, offering insight into the day-to-day practice of scientists. The book includes field observations and interviews with scientists to present an empirically-grounded perspective on much-debated questions concerning research groups’ division of labor, relations of epistemic dependence and trust.

What Is Scientific Knowledge? is a much-needed collection of introductory-level chapters on the epistemology of science. Renowned historians, philosophers, science educators, and cognitive scientists have authored 19 original contributions specifically for this volume. The chapters, accessible for students in both philosophy and the sciences, serve as helpful introductions to the primary debates surrounding scientific knowledge. First-year undergraduates can readily understand the variety of discussions in the volume, and yet advanced students and scholars will encounter chapters rich enough to engage their many interests. The variety and coverage in this volume make it the perfect choice for the primary text in courses on scientific knowledge. It can also be used as a supplemental book in classes in epistemology, philosophy of science, and other related areas. Key features: * an accessible and comprehensive introduction to the epistemology of science for a wide variety of students (both undergraduate- and graduate-level) and researchers * written by an international team of senior researchers and the most promising junior scholars * addresses several questions that students and lay people interested in science may already have, including questions about how scientific knowledge is gained, its nature, and the challenges it faces.

How technology and bureaucracy shape collaborative scientific research projects: an empirical study of multiorganizational collaboration in the physical sciences. Collaboration among organizations is rapidly becoming common in scientific research as globalization and new communication technologies make it possible for researchers from different locations and institutions to work together on common projects. These scientific and technological collaborations are part of a general trend toward more fluid, flexible, and temporary organizational arrangements, but they have received very limited scholarly attention. Structures of Scientific Collaboration is the first study to examine multi-organizational collaboration systematically, drawing on a database of 53 collaborations documented for the Center for History of Physics of the American Institute of Physics. By integrating quantitative sociological analyses with detailed case histories, Shrum, Genuth, and Chompalov pioneer a new and truly interdisciplinary method for the study of science and technology. Scientists undertake multi-organizational collaborations because individual institutions often lack sufficient resources--including the latest technology--to achieve a given research objective. The authors find that collaborative research depends on both technology and bureaucracy; scientists claim to abhor bureaucracy, but most collaborations use it constructively to achieve their goals. The book analyzes the structural elements of collaboration (among them formation, size and duration, organization, technological practices, and participant experiences) and the relationships among them. The authors find that trust, though viewed as positive, is not necessarily associated with successful projects; indeed, the formal structures of bureaucracy reduce the need for high levels of trust--and make possible the independence so valued by participating scientists.

A narrative guide to help scientists improve their collaboration techniques and build trusting relationships with their research teams. The days of scientists conducting solitary inquiries in isolated labs are effectively over, with most researchers instead collaborating in cross-functional teams. In addition to mastering the technical skills necessary in their respective fields, scientists must now learn strategies for better communication and relationship building to succeed in reaching their research goals. In Scientific Collaboration, biosecurity researcher and animal disease ecologist Jeanne M. Fair shares exciting—and occasionally cringeworthy—true stories of scientists working together. These examples provide an approachable way to introduce the principles crucial to effective scientific collaboration. From the global community of scientists measuring sea-ice decline to cooperative private-public sector investigations of harrowing virus outbreaks, the experiences described demonstrate how scientists can rise to meet challenges together. Fair explains how to foster the principles of community, integrity, loyalty, communication, and compassion among teams. Scientists adopting and applying these principles will improve communication and trust among team members while they work toward the common goal of discovery. Highlighting multidisciplinary research teams that have achieved transformational breakthroughs as well as stories of tough lessons learned, Scientific Collaboration provides a foundation for increasing research productivity while bringing more fun into the collaborative process. This book will appeal to all scientists and team leaders in this new scientific world, wherein the most important breakthroughs happen through cooperation, combined effort, and mutual trust.

The Routledge Handbook of Collective Responsibility comprehensively addresses questions about who is responsible and how blame or praise should be attributed when human agents act together. Such questions include: Do individuals share responsibility for the outcome or are individuals responsible only for their contribution to the act? Are individuals responsible for actions done by their group even when they don’t contribute to the outcome? Can a corporation or institution be held morally responsible apart from the responsibility of its members? The Handbook’s 35 chapters—all appearing here for the first time and written by an international team of experts—are organized into four parts: Part I: Foundations of Collective Responsibility Part II: Theoretical Issues in Collective Responsibility Part III: Domains of Collective Responsibility Part IV: Applied Issues in Collective Responsibility Each part begins with a short introduction that provides an overview of issues and debates within that area and a brief summary of its chapters. In addition, a comprehensive index allows readers to better navigate the entirety of the volume’s contents. The result is the first major work in the field that serves as an instructional aid for those in advanced undergraduate courses and graduate seminars, as well as a reference for scholars interested in learning more about collective responsibility.

Socially Extended Epistemology explores the epistemological ramifications of one of the most important research programmes in contemporary cognitive science: distributed cognition. In certain conditions, according to this programme, groups of people can generate distributed cognitive systems that consist of all participating members. This volume brings together a range of distinguished and early career academics, from a variety of different perspectives, to investigate the very idea of socially extended epistemology. They ask, for example: can distributed cognitive systems generate knowledge in a similar way to individuals? And if so, how, if at all, does this kind of knowledge differ from normal, individual knowledge? The first part of the volume examines foundational issues, including from a critical perspective. The second part of the volume turns to applications of this idea, and the new theoretical directions that it might take us. These include the ethical ramifications of socially extended epistemology, its societal impact, and its import for emerging digital technologies.