United Kingdom

While means-tested benefits such as minimum income benefits (MIB) and unemployment assistance (UA) are an essential safety net for low-income people and the unemployed, incomplete take-up is the rule rather than the exception. Building on desk research, open-ended surveys and semi-structured interviews, this paper investigates the opportunities and risks of using artificial intelligence (AI) for managing these means-tested benefits. This ranges from providing information to individuals, through determining eligibility based on pre-determined statutory criteria and identifying undue payments, to notifying individuals about their eligibility status. One of the key opportunities of using AI for these purposes is that this may improve the timeliness and take-up of MIB and UA. However, it may also lead to systematically biased eligibility assessments or increase inequalities, amongst others. Finally, the paper explores potential policy directions to help countries seize AI’s opportunities while addressing its risks, when using it for MIB or UA management.

Scotland (UK) is a strong innovator, ranking among the top 20% of economies among European regions, with strengths in university-firm collaborations and skills for innovation. With close to two-thirds of all growth in productivity from 2010 to 2018 coming from better use of resources in remote rural areas, rural areas are critical to economic prosperity. In addition to the valuable heritage that they offer, rural areas in Scotland have had remarkable achievements over the past decade in terms of economic growth, social innovation and progress for climate mitigation. Unlike the demographic decline perceived in OECD countries, the decline in rural areas of Scotland is much slower. In the case of accessible rural areas, the population is still growing. In part, much of the progress of ensuring well-being in rural areas, is supported by mechanisms to link entrepreneurs with researchers, regional support for entrepreneurs and an established system of social entrepreneurship. This report sets the scene, reviews main policies and programmes impacting rural innovation, and explores the importance of social innovation in rural areas. It provides recommendations to reinforce some of the good practices in Scotland, which is particularly important as the government implements the new National Innovation Strategy.

What does teaching look like? What practices are most impactful? By directly observing teaching in the classroom, this study trialled new research methods to shed light on these key questions for raising student outcomes around the world. This report provides a detailed account of classroom management, social and emotional support, and instructional practices in the classrooms of eight countries and economies, drawing upon the observation of lesson videos and instructional materials, the analysis of teacher and student questionnaires, and the measurement of students’ cognitive and non-cognitive outcomes.

Twenty-first century governments must keep pace with the expectations of their citizens and deliver on the promise of the digital age. Data-driven approaches are particularly effective for meeting those expectations and rethinking the way governments and citizens interact. This report highlights the important role data can play in creating conditions that improve public services, increase the effectiveness of public spending and inform ethical and privacy considerations. It presents a data-driven public sector framework that can help countries or organisations assess the elements needed for using data to make better-informed decisions across public sectors.