Next-gen research environments: Lessons from AI and data science hubs

Artificial intelligence and data science are driving a fundamental rethinking of academic research facilities, shifting from individual PI labs toward collaborative research neighborhoods optimized for fluid team structures and shared computational infrastructure. This session examines next-generation facility models and lab typologies through Amy Gutmann Hall at the University of Pennsylvania, an interdisciplinary hub for AI and data science programs, alongside peer benchmark comparisons. Presenters explore how open lab environments, transparent collaboration zones, shared computational infrastructure, and material systems including mass timber support both collective exchange and focused individual work. They deliver post-occupancy insights that translate directly into actionable planning guidance for future projects.