Latest Reports

When Yale University set out to reinvest in its sciences, the challenge was as much logistical as architectural. The university is constrained by finite capital budgets and an urban campus in New Haven, Conn., that is dense with heritage buildings. Several interlocking institutional initiatives shaped the approach, including the Yale Sustainability Plan, the Yale Planetary Solutions program, and a Science Strategy Committee report issued in 2018. That report identified five high-priority areas: integrative data science, quantum science, neuroscience, inflammation, and environmental and evolutionary sciences. Two projects—the Kline Tower and Kline Geology Laboratory—directly addressed the data science and environmental and evolutionary sciences priorities.

At the University of North Carolina at Chapel Hill (UNC), which ranks 11th in the nation in research expenditures, the question of how to integrate artificial intelligence (AI) into research facilities is no longer theoretical—it is urgent. The institution operates a vast and diverse research enterprise across multiple buildings. That scale, combined with rapid shifts in federal science policy, has prompted a fundamental reassessment of how research infrastructure is designed, operated, and managed.

The landscape of academic research has shifted dramatically over the past three decades. Where scientists once worked within single disciplines, today’s researchers tackle complex societal challenges demanding collaboration across multiple fields, and the development of partnerships with private industries addressing the same issues. This evolution has fundamentally changed the approach to research facility design, requiring unique considerations for buildings whose users may not yet be identified and whose research hasn’t been imagined. As a result, the design process has become more cyclical, with fewer known variables upfront, requiring uncertainty management while still delivering buildings that will serve institutions for decades to come.

Collecting and analyzing data is par for the course in facilities planning and operations. But how is that data used, for how long, and how often is it updated? Poorly curated data can be barely more useful than no data at all. But many institutions don’t know where to start or how to make the best use of data they already have. Mining and strategically analyzing information can provide data-driven insights into space needs to help increase utilization, create space planning programs, and understand carbon footprints. 

No longer a place to just study and shush, the modern university library is more like a buzzing connection point for the entire campus. At the University of Arkansas in Fayetteville, the recently renovated Mullins Library is no exception, with as many as 7,000 people going in and out every day. The largest of the U of A Libraries and central to the campus, the 300,000-sf facility now features new gathering spaces, new technology, and design updates that are adapted to the needs of today’s students.