Project description
Shedding light on the jobs and skills of the future
Research regarding the future of work suggests that 30 % of the hours worked globally could be automated by 2030. Focussing on the impact this will have on jobs and skills, the EU-funded AI4LABOUR project aims to predict the types of occupations that will appear in the future and the skills these will require as well as the training needed to gain these skills. To achieve this, the project will design a novel artificial intelligence skill-based model and a skill development methodology. The project's work will create the foundation for a web portal that links role, skill and learning recommendations for all actors.
Objective
In the last decade, due to the tremendous progress of computing power, a new era which is called Industry 4.0 has been triggered. This new revolutionary progress in manufacturing systems will also create a huge impact on the socio-economic dynamics of society. Moreover, very recent pandemic conditions caused by COVID19 disease show that the modern labor force highly sensitive to the conditions and they are subject to change. Technologies based on data processing are changing not only the manufacturing standards but also the daily life of the people. Given that studies on future of work mentioned the possibility of automation of 30 percent of global working hours by 2030, it is important to take into account that Artificial Intelligence (AI) can take on the monotonous and repetitive aspects of works that are done by humans when some jobs will be automated. This may ensure focusing on more strategic or more analytical works. To offer a solution to this problem, this project proposal entitled “Reshaping labor force participation with Artificial Intelligence-AI4LABOUR” aims to predict which kind of new occupations will appear in near future and which kind of skills will be needed to get these new occupations. This can be achieved in this project in cooperation with different disciplines and sectors and in this way; the collaboration between different disciplines and sectors improve the impact of AI4LABOUR. Shortly, in the context of AI4LABOUR, required training to obtain these required skills would also be designed and planned. To achieve this goal, an innovative skill-based modeling and skill development methodology armed with AI techniques will be designed for the labor force. This novel methodology will be the building block of a web portal, which will serve as a recommendation tool for all actors - individuals, companies, institutions, and policymakers.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.3. - Stimulating innovation by means of cross-fertilisation of knowledge
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-RISE-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
34230 ISTANBUL
Türkiye
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.