This section offers a variety of publications, reports, studies, and data on digital skills and digitalisation. Find skills intelligence from throughout Europe to boost your knowledge, enhance your research activities, and understand the drivers behind the digital transformation.
- This report from the Joint Research Center (JRC) of the European Commission proposes a set of science-for-policy future directions for AI and child’s rights.
Financing the digitalisation of small and medium-sized enterprises The enabling role of digital innovation hubs (2019)This study reviews access-to-finance conditions for the digitalisation of SMEs and the role of digital innovation hubs (DIHs) as key enablers in the wider ecosystem.
- The resulting forecasts of this report will enable the EU, and individual member states, to assess the extent to which labour market imbalances are likely to occur in the short-term that could inhibit the development of the blockchain sector.
- the main aim of this report is to propose a Skill Strategy that would meet the needs of the 21st century. It addresses what to teach (which skills), to whom (identifying the stakeholders), and how (strategies and action plans).
- This study from the EPRS (European Parliament Research Service) offers an overview of how AI can benefit future healthcare, in particular increasing the efficiency of clinicians, improving medical diagnosis and treatment, and optimising the...
- This report updates and extends findings from the 2016 CompuThink study on the integration of computational skills in compulsory education. It also provides a comprehensive summary of evidence, including eleven recommendations for policy and practice...
- The report recognises that technological change can affect not just the volume of work but also its quality. It identifies threats to job quality and an unequal distribution of the risks and benefits associated with digital automation. In response...
- The paper explores suitable machine and deep learning models to test how well a parsimonious set of task indicators can predict occupational automatability.