The data we collect about the physical world keeps growing. Generative models, cheaper compute, and better sensing are pushing dataset sizes up quickly, and that trend shows no sign of slowing. Bigger datasets let us draw more insight from the environments we live in, from a single building to a city to the planet. They also get harder to make sense of. A spreadsheet or a dashboard does a poor job with information that is really about places and how they relate to one another.
Take a synthetic population: thousands of simulated people moving through buildings and streets, run against different designs and policies. The data is rich, and it points toward real questions about how to live more sustainably and comfortably. It is also spatial. It reads best when you can see it sitting in the place it describes.
This project explores how to work with that kind of data inside augmented reality, using a conversational voice agent as the way in. You ask a question out loud. The agent retrieves the relevant data in near real time and renders it as a visualization anchored to the space around you.