There are many drivers affecting how work is organised in a society. While this is a phenomenon that has always existed, in recent decades, changes in labour demand and supply have been of particular interest in the public debate. The emergence of new technologies in the workplace, ageing populations, app-mediated services, climate change, COVID-19 and others are shaping the jobs and skills in demand today.
It is often said that educational institutions prepare tomorrow's workers with the skills needed by industry yesterday. Apparently, there would seem to be some truth in that. There are enormous challenges for education and training institutions in instructing human capital in today's context. The pace of change in the workplace seems to be faster than the capacity to assess them and make the appropriate courses modifications.
This day school will show the institutional efforts of organisations and researchers to improve labour market information systems. The aim is to get participants to think about how important it is for policymakers and citizens to be aware of changes in the labour market so they can be re-skilled or up-skilled and stay employed. Is it possible to use AI to analyse changes in labour demand and supply in real time? What are the challenges and risks involved? Given the rise and obsolescence of skills, is it possible to know what training I should take? Through the lectures, participants will explore and discuss the importance of skills mismatches, how they affect people and the development of techniques for rapidly processing data from the labour market.