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Workforce Development

Current initiatives

Faculty and Workforce Capacity Building

Faculty & Workforce Capacity Building

  • Researcher Training & Support: Ongoing capacity-building initiatives helping researchers across all disciplines integrate AI into their workflows, progressing from AI Awareness, to Applied Practice, to Integration & Sharing.
  • AI Curriculum & Pedagogical Integration: Ongoing support for embedding AI into teaching, including identifying educational best practices, designing targeted learning activities, and updating existing courses.
Student Experiential Learning

Student Experiential Learning

  • Applied Industry Partnerships: Hands-on learning programs bridging the gap between academia and industry, including deploying students on real-world technical projects, facilitating AI-focused internships, and developing workforce-ready skills.
  • Interdisciplinary Research Opportunities: Collaborative initiatives designed to apply AI across diverse academic fields, including embedding students in faculty-led projects, fostering cross-campus innovation, and advancing applied AI research.
Institutional Learning Ecosystems

Institutional Learning Ecosystems

  • Shared Knowledge Repositories: Curated platforms for institutional cross-learning, including crowd-sourcing actionable resources, enabling AI-powered search for policy templates and syllabi, and fostering knowledge sharing.
  • AI Readiness Partnerships: Collaborative networks that enable the development of shared frameworks, benchmarking developmental levels, and connecting peer institutions to accelerate AI adoption.