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Improving Measures of Science, Technology, and Innovation
The National Center for Science and Engineering Statistics (NCSES), at the U.S. National Foundation, is 1 of 14 major statistical agencies in the federal government, of which at least 5 collect relevant information on science, technology, and innovation activities in the United States and abroad. The America COMPETES Reauthorization Act of 2010 expanded and codified NCSES's role as a U.S. federal statistical agency. Important aspects of the agency's mandate include collection, acquisition, analysis, and reporting and dissemination of data on research and development trends, on U.S. competitiveness in science, technology, and research and development, and on the condition and progress of U.S....
Advancing Concepts and Models for Measuring Innovation
Because of the role of innovation as a driver of economic productivity and growth and as a mechanism for improving people's well-being in other ways, understanding the nature,determinants, and impacts of innovation has become increasingly important to policy makers. To be effective, investment in innovation requires this understanding, which, in turn, requires measurement of the underlying inputs and subsequent outcomes of innovation processes. In May 2016, at the request of the National Center for Science and Engineering Statistics of the National Science Foundation, the Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine convened a workshop - bringing together academic researchers, private and public sector experts, and representatives from public policy agencies - to develop strategies for broadening and modernizing innovation information systems.This publication summarizes the presentation and discussion of the event.
The Political Economy of Science, Technology, and Innovation in China
Demystifies the role of the Chinese state in its development of S&T and innovation using the theory of political economy.
Economics, Science, and Technology
Economists need to understand some fundamental aspects of science in order to measure and analyse the process of technological change. This book explores the interrelationships between economics, science and technology in order to find ways of improving economists' approaches to technical change. Dr Payson begins by offering a scientific critique of economic discourse and presents a unique, unconstrained and critical view of the behavioral differences between economists and scientists. The economic literature on technological change is analysed in order to assess economists' approach to science. The author then offers concrete solutions for the useful economic study of technological change including alternative methods of classifying data based on scientific principles, a characteristics approach to measuring physical capital, and a futuristic exploration into how artificial intelligence may improve economics.
Newsletter
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21st Century Innovation Systems for Japan and the United States
Recognizing that a capacity to innovate and commercialize new high-technology products is increasingly a key for the economic growth in the environment of tighter environmental and resource constraints, governments around the world have taken active steps to strengthen their national innovation systems. These steps underscore the belief of these governments that the rising costs and risks associated with new potentially high-payoff technologies, their spillover or externality-generating effects and the growing global competition, require national R&D programs to support the innovations by new and existing high-technology firms within their borders. The National Research Council's Board on Sc...
Economic Theory and Cognitive Science
In this study, Don Ross explores the relationship of economics to other branches of behavioral science, asking, in the course of his analysis, under what interpretation economics is a sound empirical science. The book explores the relationships between economic theory and the theoretical foundations of related disciplines that are relevant to the day-to-day work of economics—the cognitive and behavioral sciences. It asks whether the increasingly sophisticated techniques of microeconomic analysis have revealed any deep empirical regularities—whether technical improvement represents improvement in any other sense. Casting Daniel Dennett and Kenneth Binmore as its intellectual heroes, the b...
Federal Register
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