How Economics Shapes Science


Book Description

The beauty of science may be pure and eternal, but the practice of science costs money. And scientists, being human, respond to incentives and costs, in money and glory. Choosing a research topic, deciding what papers to write and where to publish them, sticking with a familiar area or going into something new—the payoff may be tenure or a job at a highly ranked university or a prestigious award or a bump in salary. The risk may be not getting any of that. At a time when science is seen as an engine of economic growth, Paula Stephan brings a keen understanding of the ongoing cost-benefit calculations made by individuals and institutions as they compete for resources and reputation. She shows how universities offload risks by increasing the percentage of non-tenure-track faculty, requiring tenured faculty to pay salaries from outside grants, and staffing labs with foreign workers on temporary visas. With funding tight, investigators pursue safe projects rather than less fundable ones with uncertain but potentially path-breaking outcomes. Career prospects in science are increasingly dismal for the young because of ever-lengthening apprenticeships, scarcity of permanent academic positions, and the difficulty of getting funded. Vivid, thorough, and bold, How Economics Shapes Science highlights the growing gap between the haves and have-nots—especially the vast imbalance between the biomedical sciences and physics/engineering—and offers a persuasive vision of a more productive, more creative research system that would lead and benefit the world.




The Economics of Big Science


Book Description

The essays in this open access volume identify the key ingredients for success in capitalizing on public investments in scientific projects and the development of large-scale research infrastructures. Investment in science – whether in education and training or through public funding for developing new research tools and technologies – is a crucial priority. Authors from big research laboratories/organizations, funding agencies and academia discuss how investing in science can produce societal benefits as well as identifying future challenges for scientists and policy makers. The volume cites different ways to assess the socio-economic impact of Research Infrastructures and their role as hubs of global collaboration, creativity and innovation. It highlights the different benefits stemming from fundamental research at the local, national and global level, while also inviting us to rethink the notion of “benefit” in the 21st century. Public investment is required to maintain the pace of technological and scientific advancements over the next decades. Far from advocating a radical transformation and massive expansion in funding, the authors suggest ways for maintaining a strong foundation of science and research to ensure that we continue to benefit from the outputs. The volume draws inspiration from the first “Economics of Big Science” workshop, held in Brussels in 2019 with the aim of creating a new space for dialogue and interaction between representatives of Big Science organizations, policy makers and academia. It aspires to provide useful reading for policy makers, scientists and students of science, who are increasingly called upon to explain the value of fundamental research and adopt the language and logic of economics when engaging in policy discussions.




Science Bought and Sold


Book Description

From essays examining economic welfare to the idea of scientists as agents to the digital aspects of higher education, presents a comprehensive overview of the new directions of this expanding area.




The Economics of Science


Book Description

Science is difficult and costly to do well. This study systematically creates an economics of science. Many aspects of science are explored from an economic point of view. The scientist is treated as an economically rational individual. This book begins with economic models of misconduct in science and the legitimate, normal practices of science, moving on to market failure, the market place of ideas, self-correctiveness, and the organizational and institutional structures of science. An exploration of broader methodological themes raised by an economics of science ends the work.




The Economics of Science and Technology


Book Description

Science and technology have long been regarded as important determinants of economic growth. Edwin Mansfield (1971, pp. 1- 2), a pioneer in the economics of technological change, noted: Technological change is an important, if not the most important, factor responsible for economic growth . . . without question, [it] is one of the most important determinants of the shape and evolution of the American economy. Science and technology are even more important in the "new economy," with its greater emphasis on the role of intellectual property and knowledge transfer. Therefore, it is unfortunate that most individuals rarely have the opportunity to explore the economic implications of science and technology. As a result, the antecedents and consequences of technological change are poorly understood by many in the general public. This lack of understanding is reflected in a recent survey conducted by the National Science Board (2000), summarized in Science & Engineering Indicators. ' As shown in Table 1. 1, the findings of the survey indicated that many Americans, despite a high level of interests in such matters, are not as well-informed about technological issues as they are about other policy issues. As shown in the table, individuals self assess, based on a scale from 1 to 100, their interest in science and technology policy issues as being relatively high, yet they self assess their knowledge or informedness about these issues relatively lower.




Economics of Research and Innovation in Agriculture


Book Description

"The challenges facing agriculture are plenty. Along with the world's growing population and diminishing amounts of water and arable land, the gradual increase in severe weather presents new challenges and imperatives for producing new, more resilient crops to feed a more crowded planet in the twenty-first century. Innovation has historically helped agriculture keep pace with earth's social, population, and ecological changes. In the last 50 years, mechanical, biological, and chemical innovations have more than doubled agricultural output while barely changing input quantities. The ample investment behind these innovations was available because of a high rate of return: a 2007 paper found that the median ROI in agriculture was 45 percent between 1965 and 2005. This landscape has changed. Today many of the world's wealthier countries have scaled back their share of GDP devoted to agricultural R&D amid evidence of diminishing returns. Universities, which have historically been a major source of agricultural innovation, increasingly depend on funding from industry rather than government to fund their research. As Upton Sinclair wrote of the effects industry influences, "It is difficult to get a man to understand something when his salary depends upon his not understanding it." In this volume of the NBER Conference Report series, editor Petra Moser offers an empirical, applied-economic framework to the different elements of agricultural R&D, particularly as they relate to the shift from public to private funding. Individual chapters examine the sources of agricultural knowledge and investigate challenges for measuring the returns to the adoption of new agricultural technologies, examine knowledge spillovers from universities to agricultural innovation, and explore interactions between university engagement and scientific productivity. Additional analysis of agricultural venture capital point to it as an emerging and future source of resource in this essential domain"--




Economic Theory and Cognitive Science


Book Description

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 book proposes a comprehensive model of economic theory that, Ross argues, does not supplant, but recovers the core neoclassical insights, and counters the caricaturish conception of neoclassicism so derided by advocates of behavioral or evolutionary economics. Because he approaches his topic from the viewpoint of the philosophy of science, Ross devotes one chapter to the philosophical theory and terminology on which his argument depends and another to related philosophical issues. Two chapters provide the theoretical background in economics, one covering developments in neoclassical microeconomics and the other treating behavioral and experimental economics and evolutionary game theory. The three chapters at the heart of the argument then apply theses from the philosophy of cognitive science to foundational problems for economic theory. In these chapters, economists will find a genuinely new way of thinking about the implications of cognitive science for economics, and cognitive scientists will find in economic behavior, a new testing site for the explanations of cognitive science.




Science and the University


Book Description

Science and the University investigates the tremendous changes that have taken place in university research over the past several decades, gauging the current state of research in higher education and examining issues and challenges crucial to its future. Scientific research increasingly dominates the aims and agendas of many American universities, and this proliferation—and changes in the way research is conducted—has given rise to important questions about the interrelations of higher education, funding for scientific research, and government policy. The cost of doing science, the commercialization of university research, the changing composition and number of Ph.D. students, the effect of scientific research on other university programs—these are just a few of the many issues explored in this volume from the vantage points of scholars in such diverse fields as economics, biochemistry, genetics, and labor studies.




Economics As a Science of Human Behaviour


Book Description

This book champions the view that economics is a social science, and that, moreover, it may serve as a new paradigm for the social sciences. Economics is taken to be part of those sciences which deal with actual problems of society by providing insights, improving our understanding and suggesting solutions. I am aware that the way problems are addressed here has little in common with economics as it is generally understood today; most economists make strong efforts to imitate the exact sciences. Economics tends to become a branch of applied mathematics; the majority of all publications in professional journals and books are full of axioms, lemmas and proofs, and they are much concerned with purely formal deductions. Often, when the results are translated into verbal language, or when they are applied empirically, disappointingly little of interest remains. The book wants to show that another type of economics exists which is surprisingly little known. This type of economics has its own particular point of view. It centres on a concept of man, or a model of human behaviour, which differs from those normally used in other social sciences such as sociology, political science, law, or psychology. I do not, how ever, claim that economics is the only legitimate social science. On the vii viii PREFACE contrary, economics can provide useful insights only in collaboration with the other social sciences-an aspect which has been disregarded by mathematically oriented economics.




Economics as a Social Science


Book Description

Economics as a Social Science is a highly readable critique of economic theory, based on a wide range of research, that endeavors to restore economics to its proper role as a social science. Contrary to conventional economic theory, which assumes that people have no free will, this book instead bases economics on the realistic assumption that human beings can choose; that we are complex beings affected by emotion, custom, habit, and reason; and that our behavior varies with circumstances and times. It embraces the findings of history, psychology, and other social sciences and the insights from great literature on human behavior as opposed to the rigidity set by mathematical axioms that define how economics is understood and practiced today. Andrew M. Kamarck demonstrates that only rough accuracy is attainable in economic measurement, and that understanding an economy requires knowledge from other disciplines. The canonical hypotheses of economics (perfect rationality, self-interest, equilibrium) are shown to be inadequate (and in the case of "equilibrium" to be counterproductive to understanding the forces that dominate the economy), and more satisfactory assumptions provided. The market is shown to work imperfectly and to require appropriate institutions to perform its function reasonably well. Further, Kamarck argues that self-interest does not always lead to helping the general interest. Economics as a Social Science examines and revises the fundamental assumptions of economics. Because it avoids jargon and explains terms carefully, it will be of interest to economics majors as well as to graduate students of economics and other social sciences, and social scientists working in government and the private sector. Andrew M. Kamarck is former Director, Economic Development Institute, the World Bank.