Bridge Layer
Connects AI research, IT, and teaching into one coordinated adoption system.
A university-wide coordination layer that helps UND adopt AI safely, share AI capability across units, and turn research breakthroughs into practical daily impact.
AI is changing teaching, research, and operations. The AIT Transfer Center makes that change coordinated, safe, and useful across all UND units.
Connects AI research, IT, and teaching into one coordinated adoption system.
Validation, compliance, and lifecycle monitoring before and after deployment.
Mentors and support teams help faculty, staff, and students use AI effectively.
Inward, internal, and outward AI transfer aligned with UND goals and impact.
One flow, three transfer directions, continuous value creation.
Adopt new AI capabilities into courses, labs, and operations.
Share models, workflows, and practices across departments.
Collaborate responsibly with industry, agencies, and community.
The AIT Gateway is UND's central AI integration and control layer.
Hands-on pathways for practical AI skills in teaching, learning, and research.
Guided implementation for departments, faculty teams, and project groups.
Fast support for tool choice, setup, troubleshooting, and good practice.
Turns AI research outputs into scalable campus-ready solutions.
Three phases move the center from setup to scaled institutional impact.
Quick visual comparison of who does what in UND's AI ecosystem.
Improves pedagogy and teaching design.
Creates new AI knowledge and models.
Provides secure infrastructure and operations.
Transfers AI into practical campus use at scale.
| Category | TTaDA | AI Research Center | University IT | AIT Center (Proposed) |
|---|---|---|---|---|
| Core Definition | Supports pedagogy, instructional design, and faculty development. | Advances AI research and innovation through scholarly and funded projects. | Operates university technology infrastructure and digital services. | Campus AI technology transfer hub for practical adoption and responsible use. |
| Primary Mission | Enhance teaching quality and student learning. | Conduct cutting-edge AI research and scientific contribution. | Deliver scalable and dependable digital services. | Facilitate transfer, responsible adoption, and effective AI use in academic work. |
| Primary Users | Faculty and instructors. | AI researchers and specialized labs. | Entire university community. | Students, faculty, researchers, and staff seeking practical AI use. |
| Focus Area | Teaching methods and instructional technology. | Scientific AI discovery and innovation. | Technology infrastructure management. | Responsible adoption and practical use of AI Technology. |
| Role of AI / AIT | Advises on pedagogical implications of AI in teaching. | Develops new AI technologies and algorithms. | Provides infrastructure supporting AI tools and compute resources. | Transforms AI expertise into real-world capabilities and workflows. |
| Key Contribution | Strengthens teaching excellence and instructional innovation. | Expands frontiers of AI knowledge. | Maintains the university digital backbone. | Connects AI expertise to practical, responsible adoption across daily university activities. |
Ask quick questions about this center, services, implementation phases, and collaboration pathways.