LEADSx2030

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. 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.