AmirhosseinHonardoust/Workforce-Disruption-Equilibrium-Engine

An interpretable system that models the future of work as an equilibrium under AI-driven forces. Instead of predicting job loss, it decomposes workforce disruption into automation pressure, adaptability, skill transferability, demand, and AI augmentation to explain stability, tension, and transition paths by 2030.

21
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

17

Forks

Language

Python

License

MIT

Last pushed

Dec 13, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AmirhosseinHonardoust/Workforce-Disruption-Equilibrium-Engine"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.