banner

Manuel Suoto-Otero

School of Social Sciences, Cardiff University
Deputy Programme Director, Digital Futures of Work

My main areas of interest are education policy analysis and evaluation. I have a particular interest in the link between education and work, particularly digitalisation, the future of work and its implications for skills development, social stratification and inequalities, and internationalisation in education. I have undertaken extensive research in those areas and have also undertaken a large number of consultancy projects on education issues for the European Commission, European Centre for the Development of Vocational Training (Cedefop), the Organisation for Economic Cooperation and Development (OECD), various governments, think-tanks and voluntary sector organisations.

 

Related Articles
Publications | February 8, 2021

Working Paper 4: Technological change and labour substitution: can firm characteristics shield workers against automation?

A burgeoning literature that has emerged examining the potential of technology to automate labour. Much of this work, however, has relied on expert opinions and is ‘de-contextualised’, with little use of data on firms’ actual behaviour. We employ a rich dataset of over 3,800 companies to explore whether certain firm

Publications | February 8, 2021

Working Paper 1: Digital futures of work: reimagining jobs, skills and education for the digital age

Digital innovation is widely recognised as a game changer. Despite attention-grabbing headlines of robots outsmarting humans leading to widespread technological unemployment and counter claims that technology will create more good jobs than it destroys just like in previous epochs, there has been little systematic analysis or evaluation of exactly how

Blog | February 4, 2021

Looking for a shelter against automation? Your boss might be part of the answer

Manuel Souto-Otero   There is a lot of discussion about robots taking our jobs. Much of it is speculative, usually forecasts based on the opinions of AI experts, who tend to be too enthusiastic about the potential of digital technologies. Such estimates take little account of job redesign possibilities, or