Demand Dashboard
The LEADSx2030 Advanced Digital Skills (ADS) Data Model combines labour market, research, and investment data to map and forecast Europe’s demand for advanced digital skills. It aggregates structured and unstructured data from the labour market, research, and investment sectors, harmonised through a semantic AI framework to enable real-time and predictive analysis.
At the heart of the model are skills pockets (clusters of related skills) which allow consistent cross-sector benchmarking, trend tracking, and demand forecasting. Using methods such as NLP, graph-based clustering, and digital twin generation, the model interprets millions of job ads, research publications, and investment records to reveal current and emerging skills needs.
Each skill pocket reflects how skills appear and evolve in real-world contexts, based on millions of data points from job ads, research papers, and innovation funding records. The data shown in the dashboard represents aggregated, harmonised insights, scaled to reflect EU-wide demand and trends.
Demand Dashboard
Using a representative sample of 10k job ads (out of 410k jobs referencing Advanced Digital Skills in 2024), the model focuses on identifying and analysing skill pockets: clusters of related competencies that appear together across labour market, research, and investment data.
The model operates on three levels of data:
- Publicly available data (e.g., job ads, open access papers)
- Non-confidential data (e.g., course descriptions, internal reports shared under data space governance)
- Confidential and sensitive data are explicitly excluded.
What sets the LEADSx2030 model apart is its use of real numbers rather than statistical ratios, providing a clearer picture of the actual demand for skills such as machine learning, cybersecurity, and industrial automation.
