Events

The Data Science and AI Leadership Summit brings together 100 leaders in education and innovation to share best practices and tackle common challenges in AI and data science. Its goal is to build a collaborative academic community committed to preparing the next generation of data and AI professionals for responsible societal impact.

The Data Science and AI Leadership Summit brings together 100 leaders in education and innovation to share best practices and tackle common challenges in AI and data science. Its goal is to build a collaborative academic community committed to preparing the next generation of data and AI professionals for responsible societal impact.

The Arizona AI Leadership Summit convenes cross-sector leaders at the University of Arizona to advance responsible, community-centered AI integration that strengthens education, governance, workforce development, and public impact across the state.

AI Insights is a lunchtime series featuring faculty, student speakers, and guest experts who talk through AI innovations and perspectives.

Dr. Xu discusses computer systems security and cyber-physical security with focus on autonomous vehicles, industrial control systems, and supply chain networks.

Join visiting professor, Dongyan Xu from Purdue University, as he explores how cybersecurity has evolved from traditional systems to complex cyber-physical systems. He highlights emerging CPS security challenges and introduces a cross-plane methodology integrating cyber and physical domains to detect and mitigate vulnerabilities.

Designed to help researchers connect around the convergence of fields that intersect with renewable energy and materials. Join us to meet colleagues, exchange ideas, and help shape future interdisciplinary proposals.

AI Insights is a lunchtime series featuring faculty, student speakers, and guest experts who talk through AI innovations and perspectives.

An interdisciplinary RCoE event at the University of Arizona bringing researchers together to develop and refine AI–renewable energy project ideas into proposal-ready concept summaries.

This session provides practical demonstrations of how AI can support iterative collaboration, content development, and digital humanities research using large language models and real-world workflows.