This resource provides background information on where the jobs most vulnerable to automation are located, based on different regional types, as well as suggesting how people can best adapt to the changing workforce.

A response is needed to the numerous issues spurred by the expansion of the gig economy, where flexible patterns of employment prevail in contrast to permanent jobs. In this context of the exponential growth of the digital economy and underlying business models the largest nationwide study of its kind into the impact of the working...

Opening presentation at the August 2018 Conference The Future of Work organised by the School of Policy Studies, the Queen's University, Ontario, Canada. Presentation slides included.

In this work we offer an open and data-driven skills taxonomy, which is independent of ESCO and O*NET, two popular available taxonomies that are expert-derived. Since the taxonomy is created in an algorithmic way without expert elicitation, it can be quickly updated to reflect changes in labour demand and provide timely insights to support labour...

This study reveals the important opportunities that digital work provides for Ukrainian workers, but it also raises important questions on the sustainability of this work and of the future of the social model that it offers.