The Question on the Sticky Note by Leland

The Question on the Sticky Note by Leland - October 2026 Scholarship Essay

The question was simple enough to fit on a sticky note: what is actually in the air we breathe on campus, block by block?

I had spent two years reading about air quality in the abstract — parts per million, epidemiological curves, the elegant mathematics of dispersion models. The numbers were pristine. Then I started working with real sensor data, and the numbers were anything but. Sensors dropped out. Timestamps disagreed. A monitor next to a loading dock reported particulate spikes every weekday at 7:40 a.m., and for a week I chased what I assumed was a calibration error before realizing it was simply the delivery trucks idling below.

That was the moment the subject changed shape for me. In coursework, data arrives pre-cleaned, a well-behaved artifact of someone else's labor. In research, data arrives the way the world actually is: gappy, noisy, stubbornly physical. Cleaning it is not janitorial work before the "real" analysis — it is the analysis, because every decision about what to keep and what to discard is a judgment about what counts as true. The loading-dock spikes weren't noise. They were the signal wearing a disguise.

What deepened my understanding wasn't a single result but a reordering of respect. I had admired the models — the differential equations, the elegant parameterizations. I came to admire the measurements more: the unglamorous discipline of knowing exactly where a sensor sat, which way the wind blew that Tuesday, whether the spike at 7:40 was trucks or truth. (It was both.) Engineering, I learned, is not the triumph of theory over mess. It is the patient negotiation between them.

The sticky note is still on my desk. The question turned out to be larger than air quality. Every dataset I touch now, I ask first: what does this number remember about the world that made it? That habit — treating data as testimony rather than raw material — is the most valuable thing any project has taught me. Curiosity got me to the sensor. Humility about what the sensor knew kept me there.