A proposal for using cost-benefit analysis to evaluate the socioeconomic impact of public investment in large scientific projects. Large particle accelerators, outer space probes, genomics platforms: all are scientific enterprises managed through the new form of the research infrastructure, in which communities of scientists collaborate across nations, universities, research institutions, and disciplines. Such large projects are often publicly funded, with no accepted way to measure the benefits to society of these investments. In this book, Massimo Florio suggests the use of cost-benefit analysis (CBA) to evaluate the socioeconomic impact of public investment in large and costly scientific projects. The core concept of CBA of any infrastructure is to undertake the consistent intertemporal accounting of social welfare effects using the available information. Florio develops a simple framework for such accounting in the research infrastructure context and then offers a systematic analysis of the benefits in terms of the social agents involved. He measures the benefits to scientists, students, and postdoctoral researchers; the effect on firms of knowledge spillovers; the benefits to users of information technology and science-based innovation; the welfare effects on the general public of cultural services provided by RIs; and the willingness of taxpayers to fund scientific knowledge creation. Finally, Florio shows how these costs and benefits can be expressed in the form of stochastic net present value and other summary indicators.

Over the past decade, software companies have increasingly monopolized the flow of venture capital, starving support for scientific research and its transformative discoveries. New medicines, cheaper and faster personal computers, and other life-changing developments all stem from investment in science. In the past, these funds led to steam engines, light bulbs, microprocessors, 3D printers, and even the Internet. In Venture Investing in Science, the venture capitalist Douglas W. Jamison and the investment author Stephen R. Waite directly link financial support to revolutionary advancements in physics, computers, chemistry, and biology and make a passionate case for continued investing in science to meet the global challenges of our time. Clean air and water, cures for intractable diseases, greener public transportation, cheaper and faster communication technologies—these are some of the rich opportunities awaiting venture capital investment today. Jamison and Waite focus on how early-stage companies specializing in commercializing transformative technologies based on deep science have been shunned by venture capitalists, and how the development of such companies have been hampered by structural changes in capital markets and government regulation over the past decade. The authors argue that reinvigorating science-based technological innovation is crucial to reactivating the economic dynamism that lifts living standards and fuels prosperity over time.

Financial markets continually evolve, but underneath these innovations are fundamental principles-such as present value, leverage, hedging, efficient markets, and the conservation of value. These enduring principles are more important than transitory details. Investing is not a multiple-choice test that can be passed by memorizing soon-obsolete facts like the name of the largest brokerage firm or the number of stocks traded on the New York Stock Exchange. The great British economist John Maynard Keynes wrote that the master-economist must possess a rare combination of gifts. He must be mathematician, historian, statesman, philosopher-in some degree. He must understand symbols and speak in words. He must contemplate the particular in terms of the general, and touch abstract and concrete in the same flight of thought. He must study the present in the light of the past for the purposes of the future. No part of man's nature or his institutions must lie entirely outside his regard. The same could be said of the master investor. Our understanding of financial markets and investments depends on mathematical analysis. How could we predict investment income without models? How could we calculate present values without equations? How could we gauge uncertainty without statistics? However, a deep understanding of investments depends on our recognition of the limitations of models, no matter how scientific they appear, no matter if they were developed by Nobel laureates. The Art and Science of Investing explains the financial models that are most useful for investors, and also explains how their usefulness depends critically on a recognition of their limitations-why there is both a science and an art to successful investing.

Environmental, Social, and Governance (ESG) Investing: A Balanced Analysis of the Theory and Practice of a Sustainable Portfolio presents a balanced, thorough analysis of ESG factors as they are incorporated into the investment process. An estimated 25% of all new investments are in ESG funds, with a global total of $23 trillion and the U.S. accounting for almost $9 trillion. Many advocate the sustainability goals promoted by ESG, while others prefer to maximize returns and spend their earnings on social causes. The core problem facing those who want to promote sustainability goals is to define sustainability investing and measure its returns. This book examines theories and their practical implications, illuminating issues that other books leave in the shadows. Provides a dispassionate examination of ESG investing Presents the historical arguments for maximizing returns and competing theories to support an ESG approach Reviews case studies of empirical evidence about relative returns of both traditional and ESG investment approaches

Although the United States is currently capitalizing on its investment in science and technology effectively, there remains much room for improvement. This volume identifies the ingredients for success in capitalizing on such investments to produce national benefits, assesses current U.S. performance, and identifies future challenges. The book cites specific examples and examines several cross-cutting issues. It explores the possibility that the national research portfolio is losing diversity as a result of less long-term research in critical fields such as networking and materials. It also examines the implications of imbalances in the supply of and demand for science and engineering talent in emerging interdisciplinary fields such as bioinformatics.

A proposal for using cost-benefit analysis to evaluate the socioeconomic impact of public investment in large scientific projects. Large particle accelerators, outer space probes, genomics platforms: all are scientific enterprises managed through the new form of the research infrastructure, in which communities of scientists collaborate across nations, universities, research institutions, and disciplines. Such large projects are often publicly funded, with no accepted way to measure the benefits to society of these investments. In this book, Massimo Florio suggests the use of cost-benefit analysis (CBA) to evaluate the socioeconomic impact of public investment in large and costly scientific projects. The core concept of CBA of any infrastructure is to undertake the consistent intertemporal accounting of social welfare effects using the available information. Florio develops a simple framework for such accounting in the research infrastructure context and then offers a systematic analysis of the benefits in terms of the social agents involved. He measures the benefits to scientists, students, and postdoctoral researchers; the effect on firms of knowledge spillovers; the benefits to users of information technology and science-based innovation; the welfare effects on the general public of cultural services provided by RIs; and the willingness of taxpayers to fund scientific knowledge creation. Finally, Florio shows how these costs and benefits can be expressed in the form of stochastic net present value and other summary indicators.