Models as Mediators discusses the ways in which models function in modern science, particularly in the fields of physics and economics. Models play a variety of roles in the sciences: they are used in the development, exploration and application of theories and in measurement methods. They also provide instruments for using scientific concepts and principles to intervene in the world. The editors provide a framework which covers the construction and function of scientific models, and explore the ways in which they (...) enable us to learn about both theories and the world. The contributors to the volume offer their own individual theoretical perspectives to cover a wide range of examples of modelling, from physics, economics and chemistry. These papers provide ideal case-study material for understanding both the concepts and typical elements of modelling, using analytical approaches from the philosophy and history of science. (shrink)

This book is the most comprehensive and rigourous critique of the ways disciplinary boundaries still inhibit knowledge-production and integration.

As we approach the end of the twentieth century, the ways in which knowledge--scientific, social, and cultural--is produced are undergoing fundamental changes. In The New Production of Knowledge, a distinguished group of authors analyze these changes as marking the transition from established institutions, disciplines, practices, and policies to a new mode of knowledge production. Identifying such elements as reflexivity, transdisciplinarity, and heterogeneity within this new mode, the authors consider their impact and interplay with the role of knowledge in social relations. (...) While the knowledge produced by research and development in science and technology is accorded central focus, the authors also outline the changing dimensions of social scientific and humanities knowledge and the relations between the production of knowledge and its dissemination through education. Placing science policy and scientific knowledge within the broader context of contemporary society, this book will be essential reading for all those concerned with the changing nature of knowledge, with the social study of science, with educational systems, and with the correlation between research and development and social, economic, and technological development. "Thought-provoking in its identification of issues that are global in scope; for policy makers in higher education, government, or the commercial sector." --Choice "By their insightful identification of the recent social transformation of knowledge production, the authors have been able to assert new imperatives for policy institutions. The lessons of the book are deep." --Alexis Jacquemin, Universite Catholique de Louvain and Advisor, Foreign Studies Unit, European Commission "Should we celebrate the emergence of a 'post-academic' mode of postmodern knowledge production of the post-industrial society of the 21st Century? Or should we turn away from it with increasing fear and loathing as we also uncover its contradictions. A generation of enthusiasts and/or critics will be indebted to the team of authors for exposing so forcefully the intimate connections between all the cognitive, educational, organizational, and commercial changes that are together revolutionizing the sciences, the technologies, and the humanities. This book will surely spark off a vigorous and fruitful debate about the meaning and purpose of knowledge in our culture." --Professor John Ziman, (Wendy, Janey at Ltd. is going to provide affiliation. Contact if you don't hear from her.) "Jointly authored by a team of distinguished scholars spanning a number of disciplines, The New Production of Knowledge maps the changes in the mode of knowledge production and the global impact of such transformations. . . . The authors succeed . . . at sketching out, in very large strokes, the emerging trends in knowledge production and their implications for future society. The macro focus of the book is a welcome change from the micro obsession of most sociologists of science, who have pretty much deconstructed institutions and even scientific knowledge out of existence." --Contemporary Sociology "This book is a timely contribution to current discussion on the breakdown of and need to renegotiate the social contract between science and society that Vannevar Bush and likeminded architects of science policy constructed immediately after World War II. It goes far beyond the usual scattering of fragmentary insights into changing institutional landscapes, cognitive structures, or quality control mechanisms of present day science, and their linkages with society at large. Tapping a wide variety of sources, the authors provide a coherent picture of important new characteristics that, taken altogether, fundamentally challenge our traditional notions of what academic research is all about. This well-founded analysis of the social redistribution of knowledge and its associated power patterns helps articulate what otherwise tends to remain an--albeit widespread--intuition. Unless they adapt to the new situation, universities in the future will find the centers of gravity of knowledge production moving even further beyond their ken. Knowledge of the social and cognitive dynamics of science in research is much needed as a basis of science and technology policymaking. The New Production of Knowledge does a lot to fill this gap. Another unique feature is its discussion of the humanities, which are usually left out in works coming out of the social studies of science." --Aant Elzinga, University od Goteborg. (shrink)

Acknowledgments THROUGHOUT this book I cite the many people who have provided information on individual programs and activities. ...

: This paper contains the analysis of nine interviews with UK scientists on the topic of scientific models. Scientific models are an important, very controversially discussed topic in philosophy of science. A reasonable expectation is that philosophical conceptions of models ought to be in agreement with scientific practice. Questioning practicing scientists on their use of and views on models provides material against which philosophical positions can be measured.

In this book Bruno Latour brings together these different approaches to provide a lively and challenging analysis of science, demonstrating how social context..

Why does an object or phenomenon become the subject of scientific inquiry? Why do some of these objects remain provocative, while others fade from center stage? And why do objects sometimes return as the focus of research long after they were once abandoned? Addressing such questions, _Biographies of Scientific Objects_ is about how whole domains of phenomena—dreams, atoms, monsters, culture, society, mortality, centers of gravity, value, cytoplasmic particles, the self, tuberculosis—come into being and sometimes pass away as objects of scientific (...) study. With examples drawn from both the natural and social sciences, and ranging from the sixteenth to the twentieth centuries, this book explores the ways in which scientific objects are both real and historical. Whether discovered or invented, these objects of inquiry broaden and deepen in meaning—growing more "real"—as they become entangled in webs of cultural significance, material practices, and theoretical derivations. Thus their biographies will matter to anyone concerned with the formation of scientific knowledge. Contributors are Jed Z. Buchwald, Lorraine Daston, Rivka Feldhay, Jan Goldstein, Gerard Jorland, Doris Kauffman, Bruno Latour, Theodore M. Porter, Hans-Jörg Rheinberger, Marshall Sahlins, and Peter Wagner. (shrink)

The ArgumentWhat kind of objects are computer programs used for simulation purposes in scientific settings? The current investigation treats a special case. It focuses on “event generators,” the program packages that particle physicists construct and use to simulate mechanisms of particle production. The paper is an attempt to bring the multiplex and unfolding character of such knowledge objects to the fore: Multiple meanings and functions are embodied in the object and can be drawn out selectively according to the requirements of (...) a work setting. The object's conceptual complexity governs its application in some contexts, while the object is considered a mere “black box,” transparent and ready-to-hand, in others. These two poles span a full spectrum of object aspects, functions, and conceptions. Event generators are ideas turned into software, testing grounds for models, just a tool to study the performance of a detector, etc. The object's multiplex nature is submitted to negotiation among different actors. (shrink)

Why does an object or phenomenon become the subject of scientific inquiry? Why do some of these objects remain provocative, while others fade from center stage? And why do objects sometimes return as the focus of research long after they were once abandoned? Addressing such questions, _Biographies of Scientific Objects_ is about how whole domains of phenomena—dreams, atoms, monsters, culture, society, mortality, centers of gravity, value, cytoplasmic particles, the self, tuberculosis—come into being and sometimes pass away as objects of scientific (...) study. With examples drawn from both the natural and social sciences, and ranging from the sixteenth to the twentieth centuries, this book explores the ways in which scientific objects are both real and historical. Whether discovered or invented, these objects of inquiry broaden and deepen in meaning—growing more "real"—as they become entangled in webs of cultural significance, material practices, and theoretical derivations. Thus their biographies will matter to anyone concerned with the formation of scientific knowledge. Contributors are Jed Z. Buchwald, Lorraine Daston, Rivka Feldhay, Jan Goldstein, Gerard Jorland, Doris Kauffman, Bruno Latour, Theodore M. Porter, Hans-Jörg Rheinberger, Marshall Sahlins, and Peter Wagner. (shrink)

: The main contribution of this paper for social studies of scientific practice is to use and further elaborate the concept of experimental system. It is expanded from mere epistemic concerns to also incorporate the built-in practicality and societal relevance of scientific research. For this, an analysis of object construction by a potato-biotechnology research group is presented. The group's object of activity is conceptualized as a dual one comprising both the epistemic and applied objectives. The application object points to the (...) virus-resistant cultivated potato under construction, the epistemic object to the knowledge on the virus-resistance mechanism. Two major phases of the group's work are perceived as distinct experimental systems. The transition between them is analysed in terms of a gradual evolution characterised by network collaboration, ad hoc improvization, resistance, opportunism and informal interaction. (shrink)

The authors study how an aerosol technology research group constructed a research agenda for itself and how its activity was changed in the process. The group's research agenda was heterogeneous, comprising several research areas in which the knowledge of aerosols was applied in different industrial contexts. The authors analyze the development of one of these areas, the research on the production of ultrafine particles from 1992 to 1997, employing the concept of mediated activity that has been developed in the cultural-historical (...) theory of activity. In the analysis, the activity is seen as the coevolution of the subject, the means, and the research object and the networks of collaboration with other activities. The applications developed in the collaborative networks significantly influence the identity and learning of the researchers, the construction of tools and instruments, and the selection of the phenomena to be studied. (shrink)

In several accounts of what models are and how they function a specific view dominates. This view contains the following characteristics. First, there is a clear-cut distinction between theories, models and data and secondly, empirical assessment takes place after the model is built. This view in which discovery and justification are disconnected is not in accordance with several practices of mathematical business-cycle model building. What these practices show is that models have to meet implicit criteria of adequacy, such as satisfying (...) theoretical, mathematical and statistical requirements, and be useful for policy. In order to be adequate, models have to integrate enough items to satisfy such criteria. These items include besides theoretical notions, policy views, mathematisations of the cycle and metaphors also empirical data and facts. So, the main thesis of this chapter is that the context of discovery is the successful integration of those items that satisfy the criteria of adequacy. Because certain items are empirical data and facts, justification can be built-in. (shrink)