H2020
Europeo
ExpectedOutcome:Proposals are expected to contribute to the following outcomes:
A quantitative and qualitative assessment of the nature of job transformations in the context of the 4th industrial revolution, estimating and mapping the emerging occupations. Establishment of an “Industry 5.0 platform” for future skill requirements improving the critical understanding of the ‘black box’ of new jobs creation;guidance and recommendations, including avenues for new learning and training systems, for policy-makers, businesses, individuals, to reduce the skills’ gaps, to cope with possible unemployment effects, to foster industrial competitiveness while enhancing inclusiveness.
Scope:The 4th industrial revolution, has been associated with production efficiencies, cost reductions, streamlined labour requirements and business model adaptations. However, this is accompanied with social, economic and organizational challenges such income inequalities, public perception for job quality and scarcity, legal issues and data security.The RIA will investigate the social and economic impacts generated by emerging disruptive technologies (artificial intelligence & machine...
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ExpectedOutcome:Proposals are expected to contribute to the following outcomes:
A quantitative and qualitative assessment of the nature of job transformations in the context of the 4th industrial revolution, estimating and mapping the emerging occupations. Establishment of an “Industry 5.0 platform” for future skill requirements improving the critical understanding of the ‘black box’ of new jobs creation;guidance and recommendations, including avenues for new learning and training systems, for policy-makers, businesses, individuals, to reduce the skills’ gaps, to cope with possible unemployment effects, to foster industrial competitiveness while enhancing inclusiveness.
Scope:The 4th industrial revolution, has been associated with production efficiencies, cost reductions, streamlined labour requirements and business model adaptations. However, this is accompanied with social, economic and organizational challenges such income inequalities, public perception for job quality and scarcity, legal issues and data security.The RIA will investigate the social and economic impacts generated by emerging disruptive technologies (artificial intelligence & machine learning, block chain, big data, internet of things, 5g, etc.), robotisation and digitalization on labour markets and business models. 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. 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. 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 (creativity, social intelligence, problem-solving, etc..).
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 in order to monitor track changes in the demand that are continually challenged by technological progress, thus contributing to close unintended skill gaps and unemployment spill-overs.
This topic requires the effective contribution of SSH disciplines and the involvement of SSH experts, institutions as well as the inclusion of relevant SSH expertise, in order to produce meaningful and significant effects enhancing the societal impact of the related research activities.
Social innovation is recommended when the solution is at the socio-technical interface and requires social change, new social practices, social ownership or market uptake.
Specific Topic Conditions:Activities are expected to start at TRL 4 and achieve TRL 6 by the end of the project – see General Annex B.
Cross-cutting Priorities:Digital AgendaForesightArtificial IntelligenceSocial sciences and humanities
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La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
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