The Digitalisation Of Science Technology And Innovation

This report examines digitalisation’s effects on science, technology and innovation and the associated consequences for policy. In varied and far-reaching ways, digital technologies are changing how scientists work, collaborate and publish.

This report examines digitalisation's effects on science, technology and innovation and the associated consequences for policy. In varied and far-reaching ways, digital technologies are changing how scientists work, collaborate and publish. While examining these developments, this book also assesses the effects of digitalisation on longstanding policy themes, from access to publicly funded research data, to the diffusion of technology and its absorption by firms. New and emerging topics are also explored. These include the roles of artificial intelligence and blockchain in science and production, using digital technology to draw on the collective intelligence of the scientific community, advances in the digitalisation of biotechnology, and possible "dark sides" of digitalisation.

This report examines digitalisation's effects on science, technology and innovation and the associated consequences for policy. In varied and far-reaching ways, digital technologies are changing how scientists work, collaborate and publish. While examining these developments, this book also assesses the effects of digitalisation on longstanding policy themes, from access to publicly funded research data, to the diffusion of technology and its absorption by firms. New and emerging topics are also explored. These include the roles of artificial intelligence and blockchain in science and production, using digital technology to draw on the collective intelligence of the scientific community, advances in the digitalisation of biotechnology, and possible "dark sides" of digitalisation.

This report examines digitalisation's effects on science, technology and innovation and the associated consequences for policy. In varied and far-reaching ways, digital technologies are changing how scientists work, collaborate and publish. While examining these developments, this book also assesses the effects of digitalisation on longstanding policy themes, from access to publicly funded research data, to the diffusion of technology and its absorption by firms. New and emerging topics are also explored. These include the roles of artificial intelligence and blockchain in science and production, using digital technology to draw on the collective intelligence of the scientific community, advances in the digitalisation of biotechnology, and possible "dark sides" of digitalisation.

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 ...

In immediate responses to the COVID-19 crisis, science and innovation are playing essential roles in providing a better scientific understanding of the virus, as well as in the development of vaccines, treatments and diagnostics. Both the public and private sectors have poured billions of dollars into these efforts, accompanied by unprecedented levels of global cooperation.

Digital Entrepreneurship in Science, Technology and Innovation explores digitalisation in various spheres of life with a focus on business models, scientific research, entrepreneurship, and sustainability. The current wave of digitalisation coupled with AI represents a new technological revolution demanding a complex interplay of technological advances, new organisational and management structures, education, and considerations of ethical and cultural principles. Contributing authors expand on existing understandings of this nexus by examining the concepts of digital business models and entrepreneurship as well as value creation processes and policy perspectives. Particular focus is placed on the relationship between sustainable development goals (SDGs) and digital technologies. Ultimately, this forward-thinking book highlights the relationship between digitalisation and AI and its impact on key areas such as, electric vehicles, healthcare and innovation. This book is a fundamental resource for students and academics in science and technology studies, international business, entrepreneurship, the economics of innovation, and information systems. Its in-depth analysis of digital technologies and AI systems will also be of benefit to professionals working in business and management and the technology industries.

With the widespread transformation of information into digital form throughout society – firms and organisations are embracing this development to adopt multiple types of IT to increase internal efficiency and to achieve external visibility and effectiveness – we have now reached a position where there is data in abundance and the challenge is to manage and make use of it fully. This book addresses this new managerial situation, the post-digitalisation era, and offers novel perspectives on managing the digital landscape. The topics span how the post-digitalisation era has the potential to renew organisations, markets and society. The chapters of the book are structured in three topical sections but can also be read individually. The chapters are structured to offer insights into the developments that take place at the intersection of the management, information systems and computer science disciplines. It features more than 70 researchers and managers as collaborating authors in 23 thought-provoking chapters. Written for scholars, researchers, students and managers from the management, information systems and computer science disciplines, the book presents a comprehensive and thought-provoking contribution on the challenges of managing organisations and engaging in global markets when tools, systems and data are abundant.