SOURCE-LINKED INTELLIGENCE

mInimize coSts and mAximize Benefits in the transitionary European regional Labour markets

CORDIS · observation · Publication date unknown

equal way, in the wider patterns of reskilling. ISABEL's main objective is to provide a threefold solution to the aforementioned problem related to JCD with the use of new technologies such as AI and Large Language Models (LLM) that will 1) enrich our understanding of the socially and geographically uneven implications of this process across Europe, 2) broaden our knowledge on the factors underlying this process, and 3) highlight pathways of minimising the effects of job destruction and maximising the benefits of job creation, in a socially and spatially fair way. The latter include upskilling and reskilling of workers and the reallocation of labour, based on existing and forecasted skills shortages, using AI technologies to support these tasks. To achieve its main goal, ISABEL will examine the above elements at 3 different levels: i) the aggregate European level, among the EU, UK and Serbian Nomenclature of Territorial Units for Statistics 2 regions (NUTS2), using secondary data, ii) at 6 countries of focus -Denmark, Greece, Poland, UK, Serbia, Spain, collecting and analysing primar

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

2985812.5

unit

EUR