The Institution of Engineering and Technology (IET) commissioned YouGov to undertake a survey assessing the UK’s digital skills gap, its impact on employers, and potential solutions to the challenge.
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.
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DELL Technologies has released the results of a comprehensive survey among the global business leaders to forecas the next era of human-machine partnerships, how they intend to prepare and the repercussions on the job market.
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this recent policy brief by Cedefop analyses how vocational education and training (VET) can help cities become smarter and greener
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This policy brief presents first findings from Cedefop’s second European skills and jobs survey.
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This report presents recommendations to accelerate the rise of global tech leaders born in Europe in the service of both progress and technological sovereignt.
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The goal of this study by the Joint Research Centre of the European Commission is to analyse how the European Union can make sure that the digital and green transitions mutually reinforce each other.
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The 10th-anniversary edition of the World Economic Forum’s Top 10 Emerging Technologies Report lists new technologies poised to impact the world in the next three to five years.
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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 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, it recommends a number of policy options which seek a human-centred approach to digital transformations of work.
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The paper explores suitable machine and deep learning models to test how well a parsimonious set of task indicators can predict occupational automatability.
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This volume reports on assessing the capabilities of AI and robotics, and their impact on education and work.