Project description
Innovative platform for fair human resources management
The ongoing industrial revolution poses significant challenges to the job market regarding upskilling and re-education, job-matching, curriculum advice, strategic workforce management, and more. To help tackle these challenges, the conditional network embedding (CNE) method enables the building of an innovative AI platform that unifies the diverse information related to human talent and the job market. This platform is naturally capable of compensating any existing biases in the data, thus avoiding unfairness or discrimination when it is deployed. The EU-funded proof-of-concept FEAST project will leverage results from the European Research Council project FORSIED and develop this platform in close collaboration with the private and public sectors. FEAST will evaluate the platform, investigate the intellectual property rights and conduct a market study.
Objective
The ongoing industrial revolution is the driver of a rapidly advancing shift in the division of labour between humans on the one hand and machines and algorithms on the other. This is the cause of significant challenges in the job market, such as the emergence of important skills gaps that need to be addressed by extensive upskilling or reschooling of workers. This requires considerable forethought and hence insight into the future job markets, as well as an understanding of how to best meet the job market's current and future needs. Substantial value is to be gained at all levels: from individual workers, over talent and human resources management within companies, to the determination of policy at governmental level.
This Proof of Concept proposal will address these challenges by leveraging results from the ERC Consolidator Grant FORSIED which lend themselves well to a uniquely suited and elegant data-driven approach. In particular, the method Conditional Network Embedding (CNE) offers a powerful framework for making sense of the diverse information relevant to human talent and the job market. It provides a platform to tackle a diverse range of use cases in a uniform manner. Moreover, a distinguishing advantage of CNE is that it offers mechanisms for compensating for existing biases in the job market, ensuring fairness, non-discrimination, and inclusion when deployed to these use cases.
During the project, a prototype platform will be developed, in tight collaboration with actors in the private and public sectors. This prototype will be evaluated, the IPR position investigated, and a market study conducted leading to a road to market strategy.
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.
- social sciences political sciences political transitions revolutions
- social sciences economics and business business and management employment
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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.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
ERC-POC - Proof of Concept Grant
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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) ERC-2020-PoC
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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.
9000 Gent
Belgium
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.