OECD science, technology and innovation outlook 2018 : adapting to technological and societal disruption.
(eBooks)

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.