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Innovation


  • 24-June-2024

    English

    Using AI to manage minimum income benefits and unemployment assistance - Opportunities, risks and possible policy directions

    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.
  • 28-November-2019

    English

    The Path to Becoming a Data-Driven Public Sector

    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.
  • 10-May-2019

    English

    Digital Government Review of Sweden - Towards a Data-driven Public Sector

    This digital government review asseses the state of data-driven policies and initiatives in the Swedish public sector. It explores the underlying institutional governance and co-ordination arrangements for digital government in the country, and their impact on policy implementation. It also discusses data-sharing and managing initiatives, data governance and open government data practices. The review looks at how Sweden could better share knowledge, promote innovation and improve collaboration both across the public sector and with external stakeholders. Finally, it highlights how the government can use data to build a closer relationship with citizens in order to address policy challenges, improve public service delivery, and, ultimately, strengthen public trust.
  • 8-June-2018

    English

    Innovation, Agricultural Productivity and Sustainability in Sweden

    Agricultural innovation in Sweden has sought to improve the competitiveness and sustainability of the agri-food sector by ensuring a high level of environmental and animal welfare standards, while raising the productivity and financial viability of farms. The policies enacted to date have contributed to a high level of consumer confidence in the quality and methods of food production, but challenges remain. These include adapting new technologies that will further strengthen the high environmental, animal welfare and food standards within a more balanced regional and open trading system. In view of the high production costs in Sweden, there is a need to continue with structural adjustments and better targeted investments in the agri-food sector, as well as to improve the level of interactions between research institutions and farmers to ensure that innovative techniques are adopted by all participants.
  • 22-March-2016

    English

    OECD Reviews of Innovation Policy: Sweden 2016

    The 2016 Sweden Review of Innovation Policy deepens the 2012 Review by focusing on six policy initiatives central to the 2008 and 2012 Swedish Research and Innovation Bills, notably: 1) the increase in funding for university research, 2) the establishment of Strategic Research Areas, 3) actions designed to enhance the role of research institutes in Sweden’s innovation system, 4) the definition and funding of Strategic Innovation Areas in collaboration with industrial, academic and research institute actors, 5) the initiation of a Challenge-Driven Innovation programme addressing societal challenges, 6) improved prioritisation and support for Swedish participation in European research and innovation activities.
  • 5-February-2013

    English

    OECD Reviews of Innovation Policy: Sweden 2012

    This OECD Review of Innovation Policy for Sweden offers a comprehensive assessment of Sweden's  innovation system, focusing on the role of government. It provides concrete recommendations on how to improve policies that affect innovation performance, including R&D policies, and identifies good practices from which other countries can learn.