"Worldwide, countries have to respond to local and global socio-technological shifts and needs, specifically the transformations wrought by a rapidly shifting understanding of the Fourth Industrial Revolution. Science, technology and innovation policy (STI) finds itself at the intersection of these local and global challenges. Innovation Policy at the Intersection: Global Debates and Local Experiences shows that a comprehensive rethink in STI policy-making is required - one that takes a systemic view of the varied challenges, and adopts an inclusive and holistic approach to STI policy. Such a rethink has to bring together the global and local, the theoretical and practical. The chapters in this book follow three broad concerns: The theories and approaches that have historically informed STI policy-making, along with the most influential current approaches in different country contexts; The development and application of comprehensive STI monitoring and evaluation systems as developed and implemented by various public agencies; and The role and function of STI policy advisory bodies within their respective contexts. Innovation Policy at the Intersection provides a comparative lens of different theories and practices across a unique spectrum of national contexts, including Austria, Brazil, Colombia, Finland, Iran, Mexico, Norway, South Africa, South Korea, and Sweden."--Cover p.4.

This report (literature review) provides an overview of academic writing on the role IP has played in innovation policy-making over the last two decades.

Strategy Beyond Markets is organized around three themes: Public Politics, Private Politics, and Integrated Political Strategy. The book explores the way these strategies influence political environments, firms and corporations.

Discover the MIT-developed, “doer’s approach” to innovation with this guide that reveals you don’t need an earth-shattering idea to create a standout product, service, or business—just a hunch that you can scale up to impact. Innovation is the subject of countless books and courses, but there’s very little out there about how you actually innovate. Innovation and entrepreneurship are not one and the same, although aspiring innovators often think of them that way. They are told to get an idea and a team and to build a show-and-tell for potential investors. In Innovating, Luis Perez-Breva describes another approach—a doer’s approach developed over a decade at MIT and internationally in workshops, classes, and companies. He shows that innovating doesn’t require an earth-shattering idea; all it takes is a hunch. Anyone can do it. By prototyping a problem and learning by being wrong, innovating can be scaled up to make an impact. As Perez-Breva demonstrates, “nothing is new” at the outset of what we only later celebrate as innovation. In Innovating, the process—illustrated by unique and dynamic artwork—is shown to be empirical, experimental, nonlinear, and incremental. You give your hunch the structure of a problem. Anything can be a part. Your innovating accrues other people’s knowledge and skills. Perez-Breva describes how to create a kit for innovating, and outlines questions that will help you think in new ways. Finally, he shows how to systematize what you’ve learned: to advocate, communicate, scale up, manage innovating continuously, and document—“you need a notebook to converse with yourself,” he advises. Everyone interested in innovating also needs to read this book.

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.

A proposal for moving from price-centric to innovation-centric competition policy, reviewing theory and available evidence on economic incentives for innovation. Competition policy and antitrust enforcement have traditionally focused on prices rather than innovation. Economic theory shows the ways that price competition benefits consumers, and courts, antitrust agencies, and economists have developed tools for the quantitative evaluation of price impacts. Antitrust law does not preclude interventions to encourage innovation, but over time the interpretation of the laws has raised obstacles to enforcement policies for innovation. In this book, economist Richard Gilbert proposes a shift from price-centric to innovation-centric competition policy. Antitrust enforcement should be concerned with protecting incentives for innovation and preserving opportunities for dynamic, rather than static, competition. In a high-technology economy, Gilbert argues, innovation matters.

How to get more innovation and more equality. Is economic inequality the price we pay for innovation? The amazing technological advances of the last two decades—in such areas as artificial intelligence, genetics, and materials—have benefited society collectively and rewarded innovators handsomely: we get cool smartphones and technology moguls become billionaires. This contributes to a growing wealth gap; in the United States; the wealth controlled by the top 0.1 percent of households equals that of the bottom ninety percent. Is this the inevitable cost of an innovation-driven economy? Economist Joshua Gans and policy maker Andrew Leigh make the case that pursuing innovation does not mean giving up on equality—precisely the opposite. In this book, they outline ways that society can become both more entrepreneurial and more egalitarian. All innovation entails uncertainty; there's no way to predict which new technologies will catch on. Therefore, Gans and Leigh argue, rather than betting on the future of particular professions, we should consider policies that embrace uncertainty and protect people from unfavorable outcomes. To this end, they suggest policies that promote both innovation and equality. If we encourage innovation in the right way, our future can look more like the cheerful techno-utopia of Star Trek than the dark techno-dystopia of The Terminator.