Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
7Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5031756427
ORCID evidence
Observed aliases (1)
- Eleftherios Sdoukopoulos (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Skill Acquisition: 1 paper
- Other: 1 paper
- Hiring: 1 paper
- Training Effectiveness: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Nearly half of engineering jobs in the wind industry already request advanced digital skills, with scientific programming and numerical modelling the clearest priorities, while demand for machine learning, IoT and cybersecurity depends on firm and role — signalling a widening skills gap that education providers must address.openalex | Eleftherios Sdoukopoulos orcid |
2026-06-03 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.