This guide introduces Multi-Criteria Decision Analysis (MCDA) for public sector decisions. MCDA blends stakeholder input with quantitative models to evaluate options against competing objectives. Focusing on classic compensatory methods, it helps users assign scores to alternatives, revealing preferred choices through structured, transparent, and evidence-based decision-making processes.

In this work we offer an open and data-driven skills taxonomy, which is independent of ESCO and O*NET, two popular available taxonomies that are expert-derived. Since the taxonomy is created in an algorithmic way without expert elicitation, it can be quickly updated to reflect changes in labour demand and provide timely insights to support labour...