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.

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.

This book discusses an emerging field of decision science that focuses on business processes and systems used to extract knowledge from large volumes of data to provide significant insights for crucial decisions in critical situations. It presents studies employing computing techniques like machine learning, which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets, leadership, and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the 2nd International Conference on Decision Science and Management (ICDSM 2019), held at Hunan International Economics University, China, on 20–21 September 2019.

Science and technology are responsible for almost every advance in our modern quality of life. Yet science isn't just about laboratories, telescopes and particle accelerators. Public policy exerts a huge impact on how the scientific community conducts its work. Beyond Sputnik is a comprehensive survey of the field for use as an introductory textbook in courses and a reference guide for legislators, scientists, journalists, and advocates seeking to understand the science policy-making process. Detailed case studies---on topics from cloning and stem cell research to homeland security and science education---offer readers the opportunity to study real instances of policymaking at work. Authors and experts Homer A. Neal, Tobin L. Smith, and Jennifer B. McCormick propose practical ways to implement sound public policy in science and technology and highlight how these policies will guide the results of scientific discovery for years to come. Homer A. Neal is the Samuel A. Goudsmit Distinguished University Professor of Physics, Interim President Emeritus, and Vice President for Research Emeritus at the University of Michigan, and is a former member of the U.S. National Science Board. Tobin L. Smith is Associate Vice President for Federal Relations at the Association of American Universities. He was formerly Assistant Director of the University of Michigan and MIT Washington, DC, offices. Jennifer B. McCormick is an Assistant Professor of Biomedical Ethics in the Division of General Internal Medicine at the Mayo College of Medicine in Rochester, Minnesota, and is the Associate Director of the Research Ethics Resource, part of the Mayo Clinic's NIH Clinical Translational Science Award research programs. GO BEYOND SPUTNIK ONLINE--Visit www.science-policy.net for the latest news, teaching resources, learning guides, and internship opportunities in the 21st-Century field of science policy.

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.

This book presents for the first time a detailed and comprehensive interpretation of Zhongguancun, China’s first national self-dependent innovation demonstration zone. Explored in the book are examples of world-class, leading enterprises in fields, such as the Internet, big data, artificial intelligence, green and low-carbon, modern supply chain and high-end service. According to some data, the rate of contribution to the economic increase of Beijing made by Zhongguancun rose to 36.8% in 2015 from 17.9% in 2010. More specifically, in 2015, nearly 40% of the economic increase in Beijing was contributed by Zhongguancun Science Park. By 2017, Zhongguancun fostered 650 gazelle enterprises and 70 unicorn companies. The book also uniquely provides readers with a panoramic interpretation of the environment for innovation and entrepreneurship in Zhongguancun. It is mainly divided into three parts: History of Zhongguancun, Data of Zhongguancun, Cases of Zhongguancun and Policies of Zhongguancun. Through the depiction of history, data, cases and policy, this book clarifies that in most cases, enterprises in Zhongguancun become successes by following such a road characterized by starting from scratch and by relying on science and technology innovation and expanding from small to big by virtue of the capital market. ““Zhongguancun Model: Driving the Dual Engines of Science & Technology and Capital” deepens the reader’s understanding of the new economy development in China and is essential reading for business/management researchers and practitioners, economists, IT specialists, and IT policy makers around the world.

With chapters focusing on China, India, Southeast Asia and South America, the Handbook explores views on the new hot spots in techno-entrepreneurship development.