Linked e-resources
Details
Table of Contents
Intro
Preface
Foreword
Acknowledgements
Abbreviations and acronyms
Executive summary
Digitalisation is changing innovation and science practices
STI policy and governance are becoming more mission-oriented
Infographic: Adapting to technological and societal disruption
Chapter 1. An introduction to the STI Outlook 2018
Introduction
What are the economic, societal and technological drivers of STI policy changes?
Combining policy action to address rising economic and societal challenges
New emerging technologies hold great potential
How are technological and societal change transforming innovation processes?
Digitalisation is creating new opportunities for innovation and knowledge exchange
New policy and business practices for inclusive innovation are emerging
Government support for business R&D is shifting
How is science evolving to become more open, automated and gender-friendly?
Enhanced access to research data has many benefits
Automation could transform scientific practice
Removing gender barriers in science requires more joined-up policy
How is STI policy responding to societal and technological disruptions?
Societal challenges: From shaping the STI agenda to influencing specific policy actions
Toward a new type of strategic steering to cope with economic and societal challenges
Supporting the development and uptake of emerging technologies requires a mix of old and new types of policy interventions
Reaping the benefits of emerging technologies to ensure economic and social progress requires substantial and effective investment in research and innovation
How is STI governance adapting to a fast-changing context?
New modes of STI governance are emerging
Towards the next generation of STI data and indicators
The impact of digitalisation on the evidence base for STI policy and governance
Conclusion
Note
References
Chapter 2. Artificial intelligence and the technologies of the Next Production Revolution
Introduction
Production technologies: Recent developments and policy implications
AI in production
Over time, a major effect of AI on production could be the creation of new industries
AI: specific policies
Training data are critical
Governments can take steps to help develop and share training data
Government agencies can also co-ordinate and steward DSAs for AI purposes
Governments can promote open-data initiatives and ensure that public data are disclosed in machine-readable formats for AI purposes
Technology itself may offer novel solutions to use data better for AI purposes
Governments can also help resolve hardware constraints for AI applications
Care is needed to avoid regulating AI in ways that unnecessarily dampen innovation
Blockchain in production
Blockchain: Possible policies
3D printing.
Preface
Foreword
Acknowledgements
Abbreviations and acronyms
Executive summary
Digitalisation is changing innovation and science practices
STI policy and governance are becoming more mission-oriented
Infographic: Adapting to technological and societal disruption
Chapter 1. An introduction to the STI Outlook 2018
Introduction
What are the economic, societal and technological drivers of STI policy changes?
Combining policy action to address rising economic and societal challenges
New emerging technologies hold great potential
How are technological and societal change transforming innovation processes?
Digitalisation is creating new opportunities for innovation and knowledge exchange
New policy and business practices for inclusive innovation are emerging
Government support for business R&D is shifting
How is science evolving to become more open, automated and gender-friendly?
Enhanced access to research data has many benefits
Automation could transform scientific practice
Removing gender barriers in science requires more joined-up policy
How is STI policy responding to societal and technological disruptions?
Societal challenges: From shaping the STI agenda to influencing specific policy actions
Toward a new type of strategic steering to cope with economic and societal challenges
Supporting the development and uptake of emerging technologies requires a mix of old and new types of policy interventions
Reaping the benefits of emerging technologies to ensure economic and social progress requires substantial and effective investment in research and innovation
How is STI governance adapting to a fast-changing context?
New modes of STI governance are emerging
Towards the next generation of STI data and indicators
The impact of digitalisation on the evidence base for STI policy and governance
Conclusion
Note
References
Chapter 2. Artificial intelligence and the technologies of the Next Production Revolution
Introduction
Production technologies: Recent developments and policy implications
AI in production
Over time, a major effect of AI on production could be the creation of new industries
AI: specific policies
Training data are critical
Governments can take steps to help develop and share training data
Government agencies can also co-ordinate and steward DSAs for AI purposes
Governments can promote open-data initiatives and ensure that public data are disclosed in machine-readable formats for AI purposes
Technology itself may offer novel solutions to use data better for AI purposes
Governments can also help resolve hardware constraints for AI applications
Care is needed to avoid regulating AI in ways that unnecessarily dampen innovation
Blockchain in production
Blockchain: Possible policies
3D printing.