Latest Documents

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.

This report focuses on regulatory sandboxes in artificial intelligence (AI), where authorities engage firms to test innovative products or services that challenge existing legal frameworks. Participating firms obtain a waiver from specific legal provisions or compliance processes to innovate. It highlights positive impacts like increased venture capital investment in fintech start-ups. It points out challenges, risks, and policy considerations for AI sandboxes, emphasizing interdisciplinary cooperation, building AI expertise, regulatory interoperability, and trade policy. It also addresses the importance of comprehensive criteria for eligibility and assessing trials, as well as the impact on innovation and competition.

'New space', characterised by new commercial players bringing cutting-edge business techniques and funding methods to space activities, has brought disruptive innovation and democratised access to space. But there also reasons for concern, as this has led to an intensified use of the orbital environment, creating more congestion and debris. Furthermore, the vitality of the 'new space' ecosystem is under threat from economic shocks and market entrenchment. This G20 background paper examines the emergence of the 'new space' ecosystem over the last 15 years, its impact on the space sector and society at large and the role of governments in ensuring sustained and sustainable growth of the sector. The paper provides a definition of 'new space' activities to better target policy responses and suggests policy options to address these challenges.

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.

Fiscal spending policies adopted in the wake of the COVID-19 pandemic have been presented as a unique opportunity to 'build back better' and re-ignite the economy while accelerating the transition to a low-carbon economy. This paper analyses 1 166 funding measures announced by 51 countries and the European Union in 2020-21 to support development and diffusion of low-carbon technologies. These measures – amounting to USD 1.29 trillion – can make an important contribution to filling the climate investment gap, particularly in emerging technologies such as carbon capture, usage and storage and green hydrogen. A modelling analysis suggests that they could have large impacts on greenhouse gas emissions and bring about significant co-benefits in terms of clean sectors’ output growth and reductions in fossil fuel imports.

Protecting consumers when they are most vulnerable has long been a core focus of consumer policy. This report first discusses the nature and scale of consumer vulnerability in the digital age, including its evolving conceptualisation, the role of emerging digital trends, and implications for consumer policy. It finds that in the digital age, vulnerability may be experienced not only by some consumers, but increasingly by most, if not all, consumers. Accordingly, it sets out several measures to address the vulnerability of specific consumer groups and all consumers, and concludes with avenues for more research on the topic.

In October 2021, twenty-one OECD countries and partner economies participated in an online product safety sweep to identify the degree to which products were available for sale online despite (i) being banned or recalled, (ii) having inadequate labelling or (iii) not meeting voluntary or mandatory product safety standards. Results reveal that large volumes of unsafe products are readily traded across borders and a 79% average rate of non-compliance (or potential non-compliance) with product safety standards and laws. More needs to be done by online marketplaces and other retailers to identify and remove unsafe product listings and by consumer authorities to deter non-compliance.

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.