Publications & Documents

This Digital Government Review of Türkiye explores how the Government of Türkiye can use digital technology and data to help the public sector become more responsive, resilient and proactive. It evaluates the efforts made so far by Türkiye in achieving digital government maturity by looking at governance, institutional capacities, digital skills, public service design and delivery, enabling building blocks and the strategic management and use of data. The review provides policy recommendations intended to help the Government of Türkiye fully benefit from digital technologies and data to realise the potential of the digital age in transforming the public sector and the services provided to the public.

Sociotechnical systems in areas like energy, agrifood and mobility need to transform rapidly to become more sustainable and resilient. Science, technology and innovation (STI) have essential roles in these transformations, but governments must be more ambitious and act with greater urgency in their STI policies to meet these challenges. They should design policy portfolios that enable transformative innovation and new markets to emerge, challenge existing fossil-based systems, and create windows of opportunity for low-carbon technologies to break through. This calls for larger investments but also greater directionality in research and innovation, for example, through mission-oriented policies, to help direct and compress the innovation cycle for low-carbon technologies. International co-operation will be essential, but rising geopolitical tensions, including strategic competition in key emerging technologies, could make this difficult. OECD Science, Technology and Innovation Outlook 2023 explores these and other key issues and trends that present STI with a new operating environment to which it must adapt.

The provision of key health technologies and products such as vaccines and antibiotics is insufficient in purely competitive and volume-based markets, requiring new revenue streams for sustainability. Recent developments in health innovation suggest that innovative collaborative mechanisms can be effective in addressing this issue. In the domains of vaccines and antibiotics, these approaches should incorporate shared research investment, long-term access planning, the provision of manufacturing infrastructure, supply chains, and financial returns. Collaborative approaches such as subscription models could be piloted at the regional level, while other models could be developed to delink innovation, manufacturing, and access from sales volume and revenue. Finally, blended finance instruments from the development field could encourage greater collaboration among established and emerging stakeholders in health innovation. These stakeholders should work together to create, test, access, and implement more collaborative approaches to health innovation to share upfront investments, mitigate risks of failure, and accelerate market access.

The transition to climate neutrality requires cost reductions in existing clean technologies to enable rapid deployment on a large scale, as well as the development of emerging technologies such as green hydrogen. This policy paper argues that science, technology, innovation, and industrial (STI&I) policies focusing on developing and deploying low-carbon technologies are crucial to achieving carbon neutrality. It notes however that the current level of innovation is insufficient to meet the net-zero challenge due to a policy emphasis on deployment rather than research and development (R&D) support. The paper explores the rationale for more ambitious STI&I policies targeted at R&D for climate neutrality and provides policy recommendations for an effective innovation policy for net-zero, including its interaction with the broader climate policy package.

Artificial intelligence (AI) is transforming economies and promising new opportunities for productivity, growth, and resilience. Countries are responding with national AI strategies to capitalise on these transformations. However, no country today has data on, or a targeted plan for, national AI compute capacity. This policy blind-spot may jeopardise domestic economic goals. This report provides the first blueprint for policy makers to help assess and plan for the national AI compute capacity needed to enable productivity gains and capture AI’s full economic potential. It provides guidance for policy makers on how to develop a national AI compute plan along three dimensions: capacity (availability and use), effectiveness (people, policy, innovation, access), and resilience (security, sovereignty, sustainability). The report also defines AI compute, takes stock of indicators, datasets, and proxies for measuring national AI compute capacity, and identifies obstacles to measuring and benchmarking national AI compute capacity across countries.

This paper uses information collected and provided by GlassAI to analyse the characteristics and activities of companies and universities in Canada, Germany, the United Kingdom and the United States that mention keywords related to Artificial Intelligence (AI) on their websites. The analysis finds that those companies tend to be young and small, mainly operate in the information and communication sector, have AI at the core of their business, and aim to provide customer solutions. It is noteworthy that the types of AI-related activities reported by them vary across sectors. Additionally, although universities are concentrated in and around large cities, this is not necessarily reflected in the intensity of AI-related activities. Taken together, this novel and timely evidence informs the debate on the most recent stages of digital transformation of the economy.

Illicit trade in counterfeit goods causes economic damage by reducing sales and profits as well as innovation incentives in legitimate industries. This study looks at damages caused by illicit trade in counterfeits to small and medium-sized enterprises. The robust evidence on the magnitude, scope and trends of this risk informs policy makers about the need to include anti-counterfeiting elements in policy packages designed to support SMEs.

This report presents a case study of applying the OECD anticipatory innovation governance framework to develop and manage anticipatory innovation ecosystems as vehicles for knowledge generation, innovation governance and co-ordinated action to achieve policy goals. Part I establishes the case for anticipatory innovation ecosystems and sets out how they can be governed through a multi-level approach. In Part II, opportunities and challenges for applying this approach in the Latvian context are identified, and recommendations are made for developing anticipatory innovation ecosystems in Latvia.