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.

This book explores the relationships between artificial intelligence (AI) and education in China. It examines educational activity in the context of profound technological interventions, far-reaching national policy, and multifaceted cultural settings. By standing at the intersection of three foundational topics – AI and the recent proliferation of data-driven technologies; education, the most foundational of our social institutions in terms of actively shaping societies and individuals; and, finally, China, which is a frequent subject for dramatic media reports about both technology and education – this book offers an insightful view of the contexts that underpin the use of AI in education, and promotes a more in-depth understanding of China. Scholars of educational technology and digital education will find this book an indispensable guide to the ways new technologies are imagined to transform the future, while being firmly grounded in the past.

A riveting true story of industrial espionage in which a Chinese-born scientist is pursued by the U.S. government for trying to steal trade secrets, by a finalist for the Pulitzer Prize in nonfiction. In September 2011, sheriff’s deputies in Iowa encountered three ethnic Chinese men near a field where a farmer was growing corn seed under contract with Monsanto. What began as a simple trespassing inquiry mushroomed into a two-year FBI operation in which investigators bugged the men’s rental cars, used a warrant intended for foreign terrorists and spies, and flew surveillance planes over corn country—all in the name of protecting trade secrets of corporate giants Monsanto and DuPont Pioneer. In The Scientist and the Spy, Hvistendahl gives a gripping account of this unusually far-reaching investigation, which pitted a veteran FBI special agent against Florida resident Robert Mo, who after his academic career foundered took a questionable job with the Chinese agricultural company DBN—and became a pawn in a global rivalry. Industrial espionage by Chinese companies lies beneath the United States’ recent trade war with China, and it is one of the top counterintelligence targets of the FBI. But a decade of efforts to stem the problem have been largely ineffective. Through previously unreleased FBI files and her reporting from across the United States and China, Hvistendahl describes a long history of shoddy counterintelligence on China, much of it tinged with racism, and questions the role that corporate influence plays in trade secrets theft cases brought by the U.S. government. The Scientist and the Spy is both an important exploration of the issues at stake and a compelling, involving read.

New York's Nanotechnology Model: Building the Innovation Economy is the summary of a 2013 symposium convened by the National Research Council Board on Science, Technology, and Economic Policy and members of the Nano Consortium that drew state officials and staff, business leaders, and leading national figures in early-stage finance, technology, engineering, education, and state and federal policies to review challenges, plans, and opportunities for innovation-led growth in New York. The symposium participants assessed New York's academic, industrial, and human resources, identified key policy issues, and engaged in a discussion of how the state might leverage regional development organizations, state initiatives, and national programs focused on manufacturing and innovation to support its economic development goals. This report highlights the accomplishments and growth of the innovation ecosystem in New York, while also identifying needs, challenges, and opportunities. New York's Nanotechnology Model reviews the development of the Albany nanotech cluster and its usefulness as a model for innovation-based growth, while also discussing the New York innovation ecosystem more broadly.

This book is the proceedings of the International Conference on Power Engineering-2007. The fields of this book include power engineering and relevant environmental issues. The recent technological advances in power engineering and related areas are introduced. This book is valuable for researchers, engineers and students majoring in power engineering.

This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary. Numerous carefully chosen examples and exercises reinforce the student’s conceptual understanding and facility with applications. The exercises are divided into conceptual, application-based, and theoretical problems, which probe the material deeper. The book is aimed toward advanced undergraduates and first-year graduate students who are new to finance or want a more rigorous treatment of the mathematical models used within. While no background in finance is assumed, prerequisite math courses include multivariable calculus, probability, and linear algebra. The authors introduce additional mathematical tools as needed. The entire textbook is appropriate for a single year-long course on introductory mathematical finance. The self-contained design of the text allows for instructor flexibility in topics courses and those focusing on financial derivatives. Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical.