GSS EU Science Funding Gateway

They will explore innovative methodologies in redefining work activities and automatable tasks also through an historical comparison with previous industrial revolutions, including cultural, ethical, and regional perspectives, combining the tools of social sciences and humanities (SSH) disciplines with the insights of industry leaders (large companies, SMEs, regional ecosystems) and social partners. Proposals will comprehensively assess how benefits are distributed in all sectors and, keeping into account similar ongoing exercises (e.g. OECD, CEdefop, etc..) as well as national industry 5.0 initiatives, they will forecast the expected dominant trend of jobs, mapping the emerging occupations and predicting the future skill needs and shifts by industry, also improving the critical understanding of those which cannot be automated.

Several dimensions should be explored:

• job nature and skills including the impact generated by the covid-19 outbreak,
• labour productivity,
• employment and mobility,
• quality and new forms of work,
• business value chains, management and organisational models,
• gender aspects,
• workplace and socio-demographic characteristics,
• territorial structures.

Furthermore distinctive learning trajectories and training paths will be identified for both STEM and soft skills, including combined public-private learning ecosystems and collaborative learning techniques/tools. Skills taxonomies will be developed.