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 ...

The concept of digitalization captures the widespread adoption of digital technologies in our lives, in the structure and functioning of organizations and in the transformation of our economy and society. Digital technologies for data processing and communication underly high-impact innovations including the Internet of Things, wireless multimedia, artificial intelligence, big data, enterprise platforms, social networks and blockchain. These digital innovations not only bring new opportunities for prosperity and wellbeing but also affect our behaviors, activities, and daily lives. They enable and shape new forms of production and new working practices in sectors such as manufacturing, healthcare, logistics and supply chains, energy, and public and business services. Digital innovations are not purely technological but form part of comprehensive systemic innovations of a sociotechnical and networked nature, requiring the alignment of technology, processes, organizations, and humans. Examples are platform-based work, customer driven value creating networks, and urban public service systems. Building on widespread networking, algorithmic decisions and sharing of personal data, these innovations raise intensive societal and ethical debates regarding key issues such as data sovereignty and privacy intrusion, business models based on data surveillance and negative externalization, quality of work and jobs, and market dominance versus regulation. In this context, this book focuses on the implications of digitalization for the domain of work. The book studies the changing nature of work as well as new forms of digitally enabled organizations, work practices and cooperation. The book sheds light on the technological, economic, and political forces shaping the new world of work and on the prospects for human-centric and responsible innovations.

Digital Entrepreneurship in Science, Technology and Innovation explores digitalization in various spheres of life with a focus on business models, scientific research, entrepreneurship, and sustainability. The current wave of digitalization coupled with AI represents a new technological revolution demanding a complex interplay of technological advances, new organizational 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 digitalization 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.