In this previously unpublished manuscript, found in the Rothbard Archives, Rothbard deftly turns the tables on the supporters of big government and their mandate for control of research and development in all areas of the hard sciences. What R&D should be encouraged and funded, what inventions should be supported, and what areas should be given research grants, etc.? These decisions can only be decided by markets unburdened by government meddling and intervention. Rothbard shows that science best advances under the free market: the claims to the contrary of the centralizers are spurious. The best course of action for government is to get out of the way ...
Does the public trust science? Scientists? Scientific organizations? What roles do trust and the lack of trust play in public debates about how science can be used to address such societal concerns as childhood vaccination, cancer screening, and a warming planet? What could happen if social trust in science or scientists faded? These types of questions led the Roundtable on Public Interfaces of the Life Sciences of the National Academies of Sciences, Engineering, and Medicine to convene a 2-day workshop on May 5-6, 2015 on public trust in science. This report explores empirical evidence on public opinion and attitudes toward life sciences as they relate to societal issues, whether and how contentious debate about select life science topics mediates trust, and the roles that scientists, business, media, community groups, and other stakeholders play in creating and maintaining public confidence in life sciences. Does the Public Trust Science? Trust and Confidence at the Interfaces of the Life Sciences and Society highlights research on the elements of trust and how to build, mend, or maintain trust; and examine best practices in the context of scientist engagement with lay audiences around social issues.
The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.
Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.
"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.
The OECD Science, Technology and Innovation Outlook 2018 is the twelfth edition in a series that biennially reviews key trends in science, technology and innovation (STI) policy in OECD countries and a number of major partner economies. The 14 chapters within this edition look at a range of ...
An examination of technology and politics in the evolution of the British "government machine." In The Government Machine, Jon Agar traces the mechanization of government work in the United Kingdom from the nineteenth to the early twenty-first century. He argues that this transformation has been tied to the rise of "expert movements," groups whose authority has rested on their expertise. The deployment of machines was an attempt to gain control over state action—a revolutionary move. Agar shows how mechanization followed the popular depiction of government as machine-like, with British civil servants cast as components of a general purpose "government machine"; indeed, he argues that today's general purpose computer is the apotheosis of the civil servant. Over the course of two centuries, government has become the major repository and user of information; the Civil Service itself can be seen as an information-processing entity. Agar argues that the changing capacities of government have depended on the implementation of new technologies, and that the adoption of new technologies has depended on a vision of government and a fundamental model of organization. Thus, to study the history of technology is to study the state, and vice versa.
Why are some countries better than others at science and technology (S&T)? Written in an approachable style, The Politics of Innovation provides readers from all backgrounds and levels of expertise a comprehensive introduction to the debates over national S&T competitiveness. It synthesizes over fifty years of theory and research on national innovation rates, bringing together the current political and economic wisdom, and latest findings, about how nations become S&T leaders. Many experts mistakenly believe that domestic institutions and policies determine national innovation rates. However, after decades of research, there is still no agreement on precisely how this happens, exactly which institutions matter, and little aggregate evidence has been produced to support any particular explanation. Yet, despite these problems, a core faith in a relationship between domestic institutions and national innovation rates remains widely held and little challenged. The Politics of Innovation confronts head-on this contradiction between theory, evidence, and the popularity of the institutions-innovation hypothesis. It presents extensive evidence to show that domestic institutions and policies do not determine innovation rates. Instead, it argues that social networks are as important as institutions in determining national innovation rates. The Politics of Innovation also introduces a new theory of "creative insecurity" which explains how institutions, policies, and networks are all subservient to politics. It argues that, ultimately, each country's balance of domestic rivalries vs. external threats, and the ensuing political fights, are what drive S&T competitiveness. In making its case, The Politics of Innovation draws upon statistical analysis and comparative case studies of the United States, Japan, South Korea, China, Taiwan, Thailand, the Philippines, Argentina, Brazil, Mexico, Canada, Turkey, Israel, Russia and a dozen countries across Western Europe.
