Quick Overview: On March 20, 2026, faculty, staff, students, and community members gathered to remember Invited Demonstrations (Session I; 10 minutes/demonstrator) Moderator: Mary Lee Kennedy, Senior Associate Provost for the ... How will institutions of higher learning respond to changes in the workforce as a result of AI? What role will universities play in the ...

Phil Bourne Dean - Detailed Overview & Context

On March 20, 2026, faculty, staff, students, and community members gathered to remember Invited Demonstrations (Session I; 10 minutes/demonstrator) Moderator: Mary Lee Kennedy, Senior Associate Provost for the ... How will institutions of higher learning respond to changes in the workforce as a result of AI? What role will universities play in the ... Watch the First Friday Speaker Series conversation with In this episode we're looking at the past, present, and future of artificial intelligence in higher education. To explore this topics ... This episode on Systems explores the challenges of cloud computing within the framework of biomedical research.

... Director of the Michigan Institute for Data Science at the University of Michigan From the UVA Office of Engagement - "All alumni, friends and families were joined by Here we explore how data science is revolutionizing our understanding of protein structures ... Phil Bourne Keynote Speaker - Data Science for the Public Good Symposium 2019

Photo Gallery

Phil Bourne: Dean
2025 Dean Bourne Presents to UVA Retired Faculty
2026 Founding Dean Bourne Memorial
Philip Bourne, Computing[MTU] Showcase Keynote Talk
Computing[MTU] Showcase Keynote: Phil Bourne
Invited Demonstrations (Session I; 10 minutes/demonstrator) Phil Bourne
UVA's Futures Initiative is Charting the Next Era of Higher Education
First Friday Speaker Series: A Conversation with Phil Bourne and Sharon Hays
A.I. Goes to School: The Future of Artificial Intelligence in Higher Ed
Reshaping Cloud Platforms with Microservices
NIH Names Philip Bourne First Assoc. Dir. for Data Science
The Future of Academic Data Science
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