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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- Every year, Coursera presents a deep dive into various countries to unlock and understand the skills trends that are shaping the global workforce. The fifth annual Global Skills Report has been published.
- This policy brief reports on a Cedefop skills foresight study which looked at the occupations and skills that help cities become smarter and greener and the role vocational education and training can play in developing them
- This report presents the most recent trends in the labour market demand for digital professionals and skills, highlighting where bottlenecks are emerging and policy action is – and will be – needed to support individuals who aim to thrive in the digital transition.
- The Handbook Digital Farming sheds light on the technological, economic, social, and legal perspectives of the digital transformation. It is aimed at farmers, farm and business managers, decision-makers and developers of digital tools and strategies in the agri-food sector, as well as scientists and students.
- this recent policy brief by Cedefop analyses how vocational education and training (VET) can help cities become smarter and greener
- This policy brief presents first findings from Cedefop’s second European skills and jobs survey.
- This policy brief reports on a Cedefop skills foresight study which looked at the occupations and skills that help cities become smarter and greener and the role vocational education and training can play in developing them.
- This report presents recommendations to accelerate the rise of global tech leaders born in Europe in the service of both progress and technological sovereignt.
- 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.
- The paper explores suitable machine and deep learning models to test how well a parsimonious set of task indicators can predict occupational automatability.