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During the 1980s Terence Kealey was universally derided for his claims that British and American science were expanding fast. Everyone else thought that they were in decline. He has been vindicated, but he had an unfair advantage; he knew the economic laws of scientific research and his critics did not. This book now makes them available to all. If state-funded research promotes economic, cultural or even scientific growth, why do Japan and Switzerland flourish in its near-absence while Russia and India have stagnated in a sea of government largesse? Why has Britain's relative economic decline, and that of America, coincided with their government's funding of research? Assessing the evidence from international comparisons and historical research, Terence Kealey shows how the free market approach has proved by far the most successful in promoting science, innovation, wealth and happiness.
This book systematically creates a general descriptive theory of scientific change that explains the mechanics of changes in both scientific theories and the methods of their assessment. It was once believed that, while scientific theories change through time, their change itself is governed by a fixed method of science. Nowadays we know that there is no such thing as an unchangeable method of science; the criteria employed by scientists in theory evaluation also change through time. But if that is so, how and why do theories and methods change? Are there any general laws that govern this process, or is the choice of theories and methods completely arbitrary and random? Contrary to the widespread opinion, the book argues that scientific change is indeed a law-governed process and that there can be a general descriptive theory of scientific change. It does so by first presenting meta-theoretical issues, divided into chapters on the scope, possibility and assessment of theory of scientific change. It then builds a theory about the general laws that govern the process of scientific change, and goes into detail about the axioms and theorems of the theory.
An examination of the core principles, landmark disputes, and modern developments in IEL reflecting a global approach.
This trenchant study analyzes the rise and decline in the quality and format of science in America since World War II. Science-Mart attributes this decline to a powerful neoliberal ideology in the 1980s which saw the fruits of scientific investigation as commodities that could be monetized, rather than as a public good.
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.
This book offers a vision of economics in which there is no place for universal laws of nature, and even for laws of a more probabilistic character. The author avoids interpreting the practice of economics as something that leads to the formulation of universal laws or laws of nature. Instead, chapters in the book follow the method of contemporary philosophy of science: rather than formulating suggestions for practicing scientists of how they should do research, the text describes and interprets the very practice of scientific research. This approach demonstrates how economists can explain economic phenomena not by subsuming them under general laws, but rather by building models of these phenomena, by referring to causes, or even by investigating what is in the nature of given factors, events, or circumstances to produce.
This symposium brought together leading experts and managers from the public and private sectors who are involved in the creation, dissemination, and use of scientific and technical data and information (STI) to: (1) describe and discuss the role and the benefits and costsâ€"both economic and otherâ€"of the public domain in STI in the research and education context, (2) to identify and analyze the legal, economic, and technological pressures on the public domain in STI in research and education, (3) describe and discuss existing and proposed approaches to preserving the public domain in STI in the United States, and (4) identify issues that may require further analysis.
Concentrating on the Industrial Revolution as experienced in Great Britain (and, within that sphere, mainly on the early development of the engineering and chemical industries), the authors develop the thesis that the interaction between theorists and men of practical affairs was much closer, more complex and more consequential than some historians of science have held it to be. Deeply researched, gracefully argued and fully documented. First published in 1969, and established now as a "classic" in the field, the present edition has a new foreword by Margaret C. Jacob. (NW) Annotation copyrighted by Book News, Inc., Portland, OR
This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations). Part three contains discussions of non-Gaussian laws connected to scientific productivity and presents various deterministic and stochastic models of science dynamics and research productivity. The book shows that many famous fat tail distributions as well as many deterministic and stochastic models and processes, which are well known from physics, theory of extreme events or population dynamics, occur also in the description of dynamics of scientific systems and in the description of the characteristics of research productivity. This is not a surprise as scientific systems are nonlinear, open and dissipative.