The Campus and the Algorithm: Designing for Belonging in the Data Age

When I joined Ayers Saint Gross, a design firm that has shaped more than 400 campuses across 40 years, I inherited both a legacy and a question: What have we truly learned about what makes a campus thrive? 

Each era of campus planning has responded to the pressures of its time: demographic shifts, funding cycles, cultural values. The 1980s, when our practice was taking shape, marked a turning point. It often meant repairing the damage of the 1960s expansion boom. Asphalt had colonized the campus. Cars divided communities. The prevailing logic was mechanical: efficiency, throughput, control. 

Lewis Mumford’s plea from that era still resonates: “Forget the damn motor car; build cities for lovers and friends.” His critique wasn’t just about transport; it was about a worldview. The campus had become a machine when it was meant to be a garden.  

Our 2000 campus plan for the University of North Carolina at Chapel Hill offered one answer: trade 20 acres of asphalt for 10 acres of green and 10 acres of architecture, and people flourish. That exchange is the essence of every great campus recovering from the motorcar era: the deliberate choice to give more space to people than to the systems that serve them.  

Today, the motor car has been replaced by the algorithm.

If the 1960s campus was designed for cars, the 2020s campus risks being designed for dashboards. Data, sensors, and digital twins now promise the same thing the motor car once did: efficiency and control.

Across higher education, institutions are building “smart” campuses that track occupancy, utilization, and energy in real time. The potential is enormous. Data can reveal invisible patterns of use, unlock underutilized assets, and make complex systems visible. Our work at the Hong Kong University of Science and Technology (Guangzhou) pushes this logic further through the development of what the university calls the Campus Brain. 

The Campus Brain functions as the intelligent core of the new campus, operating as a digital twin that aggregates and interprets data across buildings, infrastructure, and learning environments. Importantly, it is designed not for surveillance but for calibration. It learns which spatial and pedagogical configurations foster resilience, which prompts generate deeper inquiry, and which feedback loops sustain collaboration across disciplines. But each age of optimization carries a shadow. Efficiency is a powerful servant and a poor master. The question is not whether we use data, but how we interpret it. 

Architect, technologist and educator Philip Bernstein, whose work at Yale explores how digital tools transform professional agency, describes our current moment as a shift from representation to prediction, from drawing futures to simulating performance. He argues that computation can inform design and even expand our ability to explore design, but it cannot and should not define it. 

I agree. Data tells us what, not why. It records where students sit, but not why they stay. And if we mistake correlation for intention, we risk designing campuses as they are, not as they should be. 

At Ayers Saint Gross, we work with extraordinary datasets: mobility analytics, scheduling algorithms, carbon tracking, and demographic modelling – to understand how students move, how spaces perform, and how needs are changing. But insight requires interpretation, and interpretation requires grounding in an institution’s values.  Understanding, and even prediction isn’t design. As my colleague and Ayers Saint Gross Principal Kevin Petersen likes to remind us, “Data will give you insights, but judgement gives you purpose.” 

The designer’s role is to translate information into intention and to transform evidence into empathy. Computation quantifies; design qualifies. 

I am not anti-technology. I’m pro-judgment. 

While the public sees drawings, models, and renderings, much of our design work happens in the invisible layers. Designer and Urbanist Dan Hill uses the “dark matter” metaphor to describe the things we cannot see that generate forces and influence of which we feel the impact. These are the policies, governance structures, and cultural norms that don’t take physical form but shape how a campus actually works. 

A university is not a collection of buildings; it’s a moral ecology. It is a web of relationships, values and social structures that shape our collective experience and understanding. Designing the campus of the future means designing the systems that sustain belonging: timetables, data protocols, maintenance regimes, accessibility standards, even Wi-Fi governance and privacy law.  

The danger of the “smart” campus is not surveillance itself (although this is a unique context that varies from country to country, campus to campus), but the danger is in a culture that confuses monitoring with meaning. 

The opportunity is to use data as connective tissue; to make the invisible visible, and the intangible tangible. Across almost all our campuses, data is being collected in various ways, locations and formats. Unbelievable, but the easy part is capturing it, cleaning it, synthesizing it, integrating it and representing it. The hard part, the part that requires 40 years of insight, is the “so what?”  

In the wrong hands, the plethora of data can be used as compelling evidence to justify a variety of decision that may be either misaligned with campus values or not considered through a values lens at all. 

Campuses thrive on serendipity: the conversation in the corridor, the experiment that fails beautifully, and the mentor met by chance. Those moments don’t show up in dashboards. The best campus plans aren’t rigid blueprints but adaptive frameworks: clear enough to guide, open enough to evolve. 

In a 2006 essay “Living and Learning: the Campus Redefined”, Frances Halsband, founding partner of Kliment Halsband Architects and industry legend, observed that memorable campuses are remarkably consistent in their underlying structure: they privilege people over cars, create outdoor rooms for gathering, establish a coherent sense of place, and foster a community united by a shared purpose. Those are not design solutions. They are planning principles. And that’s what the best frameworks provide: a small number of memorable ideas that remain relevant long after the specifics have changed.

Master plan principles must be robust, memorable, meaningful. Simple enough to recall in any meeting, strong enough to steer decisions through demographic, political, or financial swings.

That is the real value of planning intelligence: a framework that is so coherent that when an institution reaches a decision point, the answer is already in the room. 

That shift from rigid campus plans to an ongoing culture of planning acknowledges that the future is unpredictable, but not uncontrollable. What once lived in static diagrams now lives in living frameworks: strong guiding principles paired with generative space-demand tools that can model multiple futures at once. The principles provide direction. The tools provide elasticity. Together, they allow institutions to test scenarios, anticipate pressure points, and make decisions that stay aligned with values even as conditions change. 

Utilization, densification, and optimization: those “-ations” designers often fear can actually enhance belonging when guided by human insight. A well-timed class schedule can bring students together more often than another building ever could. Built space and institutional “dark matter” systems are not separate forces but a coupled operating model. Systems create the push; design creates the pull. A timetable can gather people, but a beautifully designed space can draw them together. When the two align, the campus becomes magnetic.

Predictive analytics in planning that model enrollment, energy, or movement are powerful. Yet anyone who’s carried an umbrella on a day that never rained knows prediction still has its limits. 

Prediction should inform, not dictate. Herbert Simon, who famously bridged economics, psychology, and design, said it best: design is how things “ought to be,” not merely how they are likely to be. If we can forecast behavior, we must still leave room for surprise — for discovery, delight, and joy. 

At Washington University in St. Louis, cell phone mapping revealed what our instincts already suspected: where people slowed, where they bunched, and where the campus narrowed into friction. The heat maps traced a thick, dark line across the page. A utilitarian ramp crossing a freeway and light rail corridor was funneling thousands of daily movements through a single, inequitable pinch point. 

The solution was not simply to release the valve. It was to shift, realign, and reimagine the experience entirely. 

Our reimagined version of the building, the bridge, and the plaza is designed to act as a civic room. Fully accessible routes are integrated, not appended. Stairs include wheel troughs. Light, views, and material warmth replace compression and glare. The crossing is no longer something to endure, but something to inhabit. A former pinch point becomes a place of pause, encounter, and arrival. 

Avatar predictive modelling proved the design would work but the question was never “How do we move people more efficiently,” but rather, “What does this moment say about who belongs here?” 

Campuses exist precisely to cultivate those unquantifiable moments. In the words of Shannon Dowling, a principal and specialist in inclusion and belonging: “Data can predict behavior, but it can’t capture lived experience — the feeling of being seen, heard and valued. A campus becomes transformative when it’s designed for the moments that resist prediction but define belonging.”  

Higher education in the U.S. stands at a crossroads. 

Demographic shifts, financial and political pressures, hybrid learning, and climate commitments are forcing institutions to redefine what matters most. Rising tuition costs and student debt have caused more Americans to question the return of a college education. And academic leaders are left needing to prove their worth in a new way. 

In these times, we have the opportunity and obligation to design with greater clarity of purpose. Doing more with less. Building less, but better. Designing not only for performance, but for belonging. 

As part of our firm’s 2025 Comparing Campuses research project, we identified 12 design strategies for fostering community and reducing barriers on campus, including everything from thermal and acoustic comfort measures to flexible furniture, and zones for both connection and retreat.  One of the clearest lessons from 40 years of campus design is this: belonging rarely emerges from big gestures. It emerges from precise, intentional interventions in the right place, at the right time, with the right operational spine behind them. 

At Ringling College of Art and Design, we saw how a small, precise intervention could transform the social physics of a campus. The data confirmed something students had long known: late at night was when they most needed community, and yet the campus had nowhere that welcomed them. As part of a broader campus plan, we worked with the institution to create a small but strategically located dining venue at the hinge point between residence halls and studios, and designed it as a place to stay rather than pass through. Together with the university, we aligned all the operational dark matter behind it: extended hours, lighting, acoustics, staffing, food quality, and the small rituals that make people feel invited. 

The effect was immediate. What had been a quiet pocket of campus became its new epicenter. Students drifted in after critiques, faculty stopped by on their way home, and staff found it a natural place to check in informally. The result wasn’t just activity; it was magnetism. A campus that had previously felt dispersed now had a gravitational pull, a place where friendships formed through incidental (or not-so-incidental) encounters and where the social life of the institution thickened in ways no dashboard could have predicted. We call this “engineering for serendipity”: designing the conditions in which belonging can take root. 

At Ayers Saint Gross, our experience across the full spectrum of campus life — from advisory and planning to architecture, experiential design, interiors, landscape and wayfinding — gives us a rare vantage point. We don’t see data, design, or governance as separate acts. They are interdependent, and design is where they meet.

Design translates institutional priorities into form, turns insight into intention, and gives shape to the behaviors a campus wants to cultivate. It is the connective tissue between what is known, what is desired, and what is possible. Our task now is to pair the intelligence of machines with the intuition of people, to create campuses that are smart and soulful, where students will be inspired to embrace curiosity, new ideas, and new experiences.  

The future of the campus is not something that happens to us. It is something we shape, through design, through judgment, and through years of insight. If the 1960s campus was designed for cars, and the 2020s risk being designed for dashboards, then the challenge ahead is clear: to design again for lovers and friends.

An architect and business strategist, Marina Carroll is the interdisciplinary practice lead for Ayers Saint Gross.