This symposium, which was held on March 10-11, 2003, at UNESCO headquarters in Paris, brought together policy experts and managers from the government and academic sectors in both developed and developing countries to (1) describe the role, value, and limits that the public domain and open access to digital data and information have in the context of international research; (2) identify and analyze the various legal, economic, and technological pressures on the public domain in digital data and information, and their potential effects on international research; and (3) review the existing and proposed approaches for preserving and promoting the public domain and open access to scientific and technical data and information on a global basis, with particular attention to the needs of developing countries.

Basic scientific research and technological development have had an enormous impact on innovation, economic growth, and social well-being. Yet science policy debates have long been dominated by advocates for particular scientific fields or missions. In the absence of a deeper understanding of the changing framework in which innovation occurs, policymakers cannot predict how best to make and manage investments to exploit our most promising and important opportunities. Since 2005, a science of science policy has developed rapidly in response to policymakers' increased demands for better tools and the social sciences' capacity to provide them. The Science of Science Policy: A Handbook brings together some of the best and brightest minds working in science policy to explore the foundations of an evidence-based platform for the field. The contributions in this book provide an overview of the current state of the science of science policy from three angles: theoretical, empirical, and policy in practice. They offer perspectives from the broader social science, behavioral science, and policy communities on the fascinating challenges and prospects in this evolving arena. Drawing on domestic and international experiences, the text delivers insights about the critical questions that create a demand for a science of science policy.

With scientific progress occurring at a breathtaking pace, science and technology policy has never been more important than it is today. Yet there is a very real lack of public discourse about policy-making, and government involvement in science remains shrouded in both mystery and misunderstanding. Who is making choices about technology policy, and who stands to win or lose from these choices? What criteria are being used to make decisions and why? Does government involvement help or hinder scientific research? Shaping Science and Technology Policy brings together an exciting and diverse group of emerging scholars, both practitioners and academic experts, to investigate current issues in science and technology policy. Essays explore such topics as globalization, the shifting boundary between public and private, informed consent in human participation in scientific research, intellectual property and university science, and the distribution of the costs and benefits of research. Contributors: Charlotte Augst, Grant Black, Mark Brown, Kevin Elliott, Patrick Feng, Pamela M. Franklin, Carolyn Gideon, Tené N. Hamilton, Brian A. Jackson, Shobita Parthasarathy, Jason W. Patton, A. Abigail Payne, Bhaven Sampat, Christian Sandvig, Sheryl Winston Smith, Michael Whong-Barr

This Handbook assembles state-of-the-art insights into the co-evolutionary and precarious relations between science and public policy. Beyond this, it also offers a fresh outlook on emerging challenges for science (including technology and innovation) in changing societies, and related policy requirements, as well as the challenges for public policy in view of science-driven economic, societal, and cultural changes. In short, this book deals with science as a policy-triggered project as well as public policy as a science-driven venture.

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 volume explores the governance and management of science, technology, and innovation (STI) in relation to innovation policy and governance systems, highlighting its goal, challenges, and opportunities. Divided into two sections, it addresses the role of governments in promoting innovation in Latin-American contexts as well as barriers and opportunities for STI governance in the region. The chapters tackle the role of institutions, innovation funding, technological trajectories, regional innovation policies, innovation ecosystems, universities, knowledge appropriation, and markets. Researchers and scholars will find an opportunity to grasp a better understanding of innovation policies in emerging economies. This interdisciplinary work presents original research on science, technology and innovation policy and governance studies in an understudied region.

Why technology is not an end in itself, and how cities can be “smart enough,” using technology to promote democracy and equity. Smart cities, where technology is used to solve every problem, are hailed as futuristic urban utopias. We are promised that apps, algorithms, and artificial intelligence will relieve congestion, restore democracy, prevent crime, and improve public services. In The Smart Enough City, Ben Green warns against seeing the city only through the lens of technology; taking an exclusively technical view of urban life will lead to cities that appear smart but under the surface are rife with injustice and inequality. He proposes instead that cities strive to be “smart enough”: to embrace technology as a powerful tool when used in conjunction with other forms of social change—but not to value technology as an end in itself. In a technology-centric smart city, self-driving cars have the run of downtown and force out pedestrians, civic engagement is limited to requesting services through an app, police use algorithms to justify and perpetuate racist practices, and governments and private companies surveil public space to control behavior. Green describes smart city efforts gone wrong but also smart enough alternatives, attainable with the help of technology but not reducible to technology: a livable city, a democratic city, a just city, a responsible city, and an innovative city. By recognizing the complexity of urban life rather than merely seeing the city as something to optimize, these Smart Enough Cities successfully incorporate technology into a holistic vision of justice and equity.

Activists, scientists, and scholars in the social sciences and humanities explore in productive dialogue what it means to democratize science and technology. The contributors consider what role lay people can have in a realm traditionally restricted to experts, and examine the socio-economic and ideological barriers to creating a science oriented more toward human needs. Included are several case studies of efforts to expand the role of citizens—including discussions of AIDS treatment activism, technology consensus conferences in Europe and the United States, the regulation of nuclear materials processing and disposal, and farmer networks in sustainable agriculture—and examinations of how the Enlightenment premises of modern science constrain its field of vision. Other chapters suggest how citizens can interpret differing opinions within scientific communities on issues of clear public relevance. Contributors include Steven Epstein, Sandra Harding, Neva Hassanein, Louise Kaplan, Daniel Lee Kleinman, Daniel Sarewitz, Stephen H. Schneider, and Richard E. Sclove.

'Designed to delineate and direct attention to the increasingly influential interrelationship between science, technology and foreign policy, Skolnikoff's book succeeds as the first serious attempt to set out the significance, scope and surprising subtlety of this new interface. The book is intended to awaken the reader to its critical importance, the current incapacity of our institutions to cope with it effectively and the urgent need to do something to improve the situation. -Scientific Research.