If you are a Tier 2 Supplier dealing with a fragmented value chain and a lack of specialized talent — this project developed a two-stage foresight cycle that maps current skills and anticipates future roles. This helps you create tailored curricula to close the skills gap.
Accelerating Industrial Transition Through Human-Centric Incentives and Skills Training
Imagine trying to upgrade a whole factory system but not knowing if the workers have the right skills or if the money is in the right place. This project acts like a test lab to find the best mix of financial rewards and training to make that switch easier. It's like creating a roadmap and a practice zone to ensure the move to smarter, greener industry actually works in the real world.
What needed solving
Companies struggle to transition to Industry 5.0 due to fragmented value chains, a critical lack of skilled talent, and a lack of clear financial or institutional incentives to change.
What was built
An AI-enabled Policy Decision-Support System, a Digital Knowledge Hub, the SHIFT Academy, and regional Learning Labs for skills training.
Who needs this
Who can put this to work
If you are a Robotics Integrator dealing with slow adoption of human-centric tech — this project developed mission-oriented sandboxes to test financial and behavioral incentives. This allows you to validate how to better incentivize clients to adopt new technologies.
If you are a Sustainable Apparel Manufacturer dealing with the struggle to attract the best talent — this project developed the SHIFT Academy and regional Learning Labs. These provide challenge-based pathways to train your workforce for long-term transitions.
Quick answers
What is the cost or price of the tools developed?
Based on available project data, there is no pricing information provided for the resulting tools or services.
Can this be scaled to a full industrial level?
The project uses six Regional Transformation Nodes and mission-oriented sandboxes to test and refine levers before wider application.
Who owns the IP or licensing for the AI policy system?
Based on available project data, specific IP and licensing terms are not mentioned, though results are consolidated into FAIR datasets.
How does this help with government regulations?
The project creates an evidence-to-policy engine that generates regional and EU policy roadmaps to support industrial transitions.
What is the timeline for implementation?
The project runs from 2026-09-01 to 2029-08-31.
Who built it
The consortium is diverse, featuring 14 partners across 9 countries. It has a balanced mix of 5 research organizations, 4 universities, and 3 industry partners, with 5 SMEs involved. This structure ensures that academic research is directly tested by a 21% industry ratio, bridging the gap between theory and factory-floor application.
Contact FLANDERS MAKE in Belgium for details on the SHIFT Academy and pilot opportunities.
Talk to the team behind this work.
Contact us to find out how to join the regional Learning Labs.