Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Enabling data analytics for actions tackling skills shortages & mismatch

Objective

TRAILS proposes a holistic approach to identifying the conditions for skills gaps and shortages across European countries and to contributing to policy actions. Its approach involves all conceptual and theoretical models of optimal skills match and utilization by workplaces, new methodologies for measuring skill gaps, and understanding optimal ways to skills upskilling and reskilling. It involves novel primary datasets, state-of-the-art big datasets from administrative records matched to firms and workplaces, innovative inquiries with large secondary datasets that are merged with taxonomies and other sources to enable pathbreaking analyses, field and stated preference experiments, along with boost samples of groups of particular interest, such as platform workers and other stakeholders. All these elements will produce a canvas that enables a new framework for identifying the conditions and elements required for developing skills matched to the needs. It will allow the inspection of relevant behavioural, societal, and cultural dimensions affecting individuals' participation and choice of training and learning programmes. Moreover, the project will propose aims and objectives for basic and transferable skills that are most conducive to European labour mobility towards the green and digital jobs of the future. Finally, the project will propose ways to optimize the use of new technology-enhanced ways to bridge the gap between labour supply and demand in matching skills to needs. Via the usage of AI methods and the large-scale piloting, the project will propose ways that empower skills profiling and intelligence to raise awareness of training programmes matched to the needs of individuals and the jobs of the future for European labour markets. Ultimately, a TRAILS web-based tool will be developed to bring together new datasets and insights for policy makers and to raise citizens’ awareness regarding transferable skills and training programmes.

Keywords

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.

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.

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.

HORIZON-RIA - HORIZON Research and Innovation Actions

See all projects funded under this funding scheme

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL2-2023-TRANSFORMATIONS-01

See all projects funded under this call

Coordinator

DIMOKRITIO PANEPISTIMIO THRAKIS
Net EU contribution

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.

€ 394 125,00
Address
PANEPISTIMIOUPOLI RECTORATE BUILDING
691 00 KOMOTINI
Greece

See on map

Region
Βόρεια Ελλάδα Aνατολική Μακεδονία Ροδόπη
Activity type
Higher or Secondary Education Establishments
Links
Total cost

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.

€ 394 125,00

Participants (7)

My booklet 0 0