How We Rank Universities
Our comprehensive methodology evaluates universities across 5 key AI standards with 30 specific metrics, ensuring transparent, objective, and data-driven rankings
The 5 AI Standards
Each standard represents a critical dimension of AI adoption in higher education institutions
Strategy
This standard evaluates a critical aspect of AI adoption in universities.
Governance
This standard evaluates a critical aspect of AI adoption in universities.
Teaching
This standard evaluates a critical aspect of AI adoption in universities.
Programs
This standard evaluates a critical aspect of AI adoption in universities.
Operations
This standard evaluates a critical aspect of AI adoption in universities.
Scoring Process
A systematic, three-step approach to ensure consistency and fairness
Data Collection
We gather verified data from official university sources, research publications, policy documents, and institutional reports. All data must be publicly verifiable and current.
Metric Evaluation
Each metric is scored based on clear, predefined criteria. Universities earn points for documented implementations, policies, programs, and measurable outcomes.
Final Ranking
Scores across all standards are totaled. Universities are ranked globally and regionally by their overall percentage score relative to the maximum possible points.
Our Key Principles
Guiding values that ensure the integrity and credibility of our rankings
Transparency
All metrics and scoring criteria are publicly available and clearly defined. Every institution can verify their scores and understand exactly how they were calculated.
Objectivity
Scoring is based solely on documented evidence, not subjective assessments. We eliminate bias by using verifiable data points and standardized evaluation criteria.
Equal Weighting
All metrics within a standard carry equal weight in the evaluation. This prevents any single metric from dominating the overall score and ensures balanced assessment.
Annual Updates
Rankings are refreshed annually based on the most current institutional data. Universities can track their progress year-over-year and see how their AI adoption evolves.
Example Score Calculation
See how a university's total score is calculated from individual standard scores