AI ENABLED INSTITUTIONAL ASSESSMENT 2026
AI Universities & Institutions
Survey 2026
Institutional Data Collection & Assessment for Artificial Intelligence Education, Research, Innovation & Industry Engagement.
Survey Form
Submit your institution's AI data across research, faculty, infrastructure and industry engagement.
Start SurveyInstructions
Learn how to complete each section and what supporting evidence is required.
View GuideMethodology
Understand the assessment framework, scoring and verification process.
View / DownloadBefore you begin
Please review the survey instructions and methodology before submitting institutional information. Supporting documents and evidence may be required for selected responses.
Estimated completion
20–30 min
Required evidence
PDF / DOC
Assessment Framework
The survey evaluates institutional capability across eight key dimensions.
01
AI Research Publications
Quality and volume of AI-related research output.
02
AI-Sector Placements & Graduate Outcomes
AI-related employment and graduate outcomes.
03
AI & Computer Science Faculty Capacity
Strength and capacity of AI and allied faculty.
04
Investment in AI Infrastructure
Investment in AI computing, laboratories and research infrastructure.
05
Interdisciplinary AI Integration
Integration of AI across non-computing disciplines.
06
AI Program Capacity & Student Intake
Capacity and enrolment across AI-focused programmes.
07
Industry Collaboration & AI Ecosystem Engagement
Industry partnerships, internships, research and ecosystem engagement.
08
AI-Focused Intellectual Property & Innovation
AI patents, IP, commercialization and innovation.
How It Works
Review
Read Instructions & Methodology
Submit
Enter Institutional Data
Evidence
Upload Supporting Documents
Verification
Data Review & Validation
Data & Evidence
Institutions are expected to provide accurate and complete information. Wherever applicable, responses should be supported by documentary evidence.
Structured data collection
Evidence-based assessment
Institutional verification
Transparent methodology
Ready to begin?
Review the instructions and methodology, then start submitting your institutional data.