Scores evaluate institutional agility relative to rapid automation shifts. Ratings assess four core parameters:
1. AI-Adaptation (35%): Integration of computational models into standard programs, use of interactive teaching tools, and general curriculum flexibility.
2. AI-Proof Pathways (35%): Focus on human-centric fields such as manual engineering prototyping, lab chemistry, field biology, and clinical practice.
3. Infrastructural Shifts (20%): Availability of computing clusters, specialized cleanrooms, high-tech labs, and decentralized internal administrative frameworks.
4. Friction Coefficient (10%): Administrative reaction times, political or structural disruptions, and overall institutional flexibility.