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Facility strategies for multi-discipline AI-enabled research and application

Jim Vignola, AIA Emeritus
Jim Vignola
Tyler Dykes, PE, NCEES
Tyler Dykes
Principal/Market Leader
 

With AI becoming ubiquitous, adaptable and scalable spaces for computation are in high demand to foster interdisciplinary collaboration and attract the best and brightest researchers. In this case study of University of Florida’s Malachowsky Hall for Data Science & Information Technology, presenters detail workplace strategies for labs, studios, offices, support spaces, and infrastructure requirements to enable faculty and researchers from medicine, pharmacy, and engineering to leverage AI and machine learning for complicated problems. They illustrate the balancing of competing needs from different stakeholder groups and synergizing disparate design elements, and they deliver benchmarks for space allocation and utilization, construction cost, and energy performance for this type of high-performance facility.