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This report explores how governments in Latin America and the Caribbean can use digital technology and data to foster responsiveness, resilience and proactiveness in the public sector. This report looks at governance frameworks, digital government capabilities, data-driven public sector, public service design and delivery, and digital innovation in the public sector. It identifies trends, challenges, strengths, and opportunities for cross-border collaboration and provides policy recommendations to achieve an efficient and sustainable digital transformation of governments across the region.

This report analyses the career options of doctoral and postdoctoral researchers. It identifies policies and practices to promote diverse careers, flexible career trajectories and ultimately better-quality research and innovation across different economic and social sectors. The report presents a conceptual framework and synthesis of available data and policy information. It offers recommendations and a set of policy options to: promote engagement and interaction with employers outside academia; provide researchers with experience and skills for diverse careers; encourage valorisation of diverse career options; support career development and guidance for researchers; promote inter-sectoral mobility; and, reconfigure and support careers in academia.

Measuring innovation in education and understanding its drivers and obstacles is essential to improve the quality of the education sector – and of specific educational establishments. Are pedagogical and administrative practices changing in the expected direction? Do educational institution have a positive innovation culture that supports innovation? What are the drivers of innovation that policy makers or institution leaders could influence to achieve the systems’ educational objectives? How much do countries invest in educational research? This book proposes insights and tools to policy makers and education leaders willing to drive change based on data and evidence and new tools and methodologies for education policy makers and institution leaders to answer those questions. Based on the research literature and the long experience of innovation and research surveys, these tools are meant either for a statistical collection or to engage in self-reflection at the institutional level. Three aspects of innovation are covered: educational innovation at the system level, innovation culture within educational institutions, innovation towards equity in education. A questionnaire to measure educational research and experimental development expenditures and implementation and new methodologies to measure certain aspects of educational innovation and educational research based on big data and bibliometrics are also presented.

The 'Miracle on the River Han' catapulted Korea from developing country to a prosperous economy, driven in part by advancements in science, technology, and innovation. Being the second-highest R&D spender among OECD economies, Korea excels in key technologies, including semiconductors, 6G, and ICT infrastructure. Despite this remarkable progress, disparities remain between SMEs and chaebols, manufacturing and services, ICT and non-ICT industries, and urban and rural areas. Korea also grapples with societal and economic vulnerabilities, including an aging population, a significant carbon footprint, limited renewable energy use, and pronounced gender inequality. To further seize opportunities for equitable and inclusive growth, Korea must foster a shared national vision to develop science, technology, and innovation to address societal issues, enhance R&D policy implementation, promote excellent research, further internationalise, and broaden technology diffusion.

Governments are increasingly utilising research and innovation (R&I) policy to foster economic and societal change. Yet, the empirical correlation between these policies and socio-technical transformations remains under-explored. The report investigates this relationship by comparing the Recovery and Resilience Plans (RRPs) of Austria, Finland and Sweden, initiated under the NextGenerationEU framework post Covid-19. The report finds significant disparities in the content, process and transformative value of the RRPs among these countries. The differences in the content of the national RRPs, and the ability and willingness to seize the opportunity presented by the RRPs to drive transformation, are explained by existing national policy contexts and frameworks. Surprisingly, the role of R&I policy in the RRPs is less important than expected, despite its emphasised importance in literature and political rhetoric. The report further identifies implications for a transformative innovation policy as well as areas for further research.

This is the last in a series of three reports that explore how science was mobilised in response to the COVID-19 pandemic. The report focuses on system-level issues and highlights challenges and opportunities that are inherent to the organisation of science systems and that need to be addressed to improve the resilience of these systems and their capacity to address complex societal challenges and crises. The analysis is structured around five interconnected themes: the strategic mobilisation of science capacity; managing conflicting priorities; co-ordination and collaboration across levels of governance; transdisciplinary and reflexive science; and dynamic and system-oriented governance. Key areas for intervention and more specific policy actions are identified under each theme and provide a framework for systemic action to strengthen science in support of socio-technological transitions.

This is the second in a series of three reports that explore how science was mobilised in response to the COVID-19 pandemic. The focus is on science for policy – research agenda setting, scientific advice and public communication and engagement. The report includes recommendations and options for policy action to improve the resilience of national science systems and their capacity to cooperate internationally in response to crises. The context in each country is different, as illustrated by the many case studies included in the report, and so the priority attached to these recommendations and the specific details of how they might be implemented will vary. They are provided as an overall framework for science policymakers and other actors, including research funders and research providers, to consider.

Very Large Research Infrastructures (VLRIs) are unique, complex undertakings with a strong international dimension that play a critical role in frontier research in most scientific domains. VLRIs require considerable care in their construction and operation, as well as very substantial investments and technological innovations. Recent evolutions in the political, socio-economic and scientific context are challenging their established planning and management models. This policy report identifies and analyses good practices and presents a series of lessons learned regarding the establishment of VLRIs, options for improving their use and operation, as well as more strategic considerations that VLRI managers, funders and decision-makers should take into consideration.

This is the first in a series of three reports that explore how science was mobilised in response to the COVID-19 pandemic. The focus is on policy for science – access to data and information, the role of infrastructures and the interface between academia and industry. The report includes recommendations and options for policy action to improve the resilience of national science systems and their capacity to co-operate internationally in response to crises. The context in each country is different, as illustrated by the many case studies included in the report, and so the priority attached to these recommendations and the specific details of how they might be implemented will vary. They are provided as an overall framework for science policymakers and other actors, including research funders and research providers, to consider.

The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI. Utilising AI to accelerate scientific productivity will support the ability of OECD countries to grow, innovate and meet global challenges, from climate change to new contagions. This publication is aimed at a broad readership, including policy makers, the public, and stakeholders in all areas of science. It is written in non-technical language and gathers the perspectives of prominent researchers and practitioners. The book examines various topics, including the current, emerging, and potential future uses of AI in science, where progress is needed to better serve scientific advancements, and changes in scientific productivity. Additionally, it explores measures to expedite the integration of AI into research in developing countries. A distinctive contribution is the book’s examination of policies for AI in science. Policy makers and actors across research systems can do much to deepen AI’s use in science, magnifying its positive effects, while adapting to the fast-changing implications of AI for research governance.