This note is for potential research collaborators and adjacent-domain colleagues. It introduces the current applied substrate, the surrounding research problem, and the places where another method or domain could touch the work.
What the current work is
The current applied substrate models pedestrian routing on a Manhattan corridor graph under a measured stress field and a layered capacity field. It is one concrete instance of a larger research problem: how local pressures organize behavior in a modeled system.
Applied substrate. Shortest-path versus stress-aware routing. One direct demonstration that routing behavior changes when algorithms move through a measured stress topology.
Measurement pipeline. Computer-vision outputs on low-stress and high-stress corridor cameras. The substrate's demand side is measured from observable city conditions.
Where collaboration would be welcome
collective behavior and active matter, especially where non-local response emerges from local interaction over a structured substrate
navigation and reference-frame research, especially egocentric versus allocentric switching and world-anchored representation
computer vision and scene representation, especially crowd and infrastructure inference under weak labels
graph operators and spectral methods for bounded perturbation analysis
human-AI interaction where modeled environments shape behavior beyond a single local interface
experimental AI engineering that treats representational geometry as a first-class design variable
What the program is not asking a collaborator to accept
The note asks for interest in the underlying structural problem and for help testing whether the same problem recurs in adjacent domains with different surfaces and different measurement constraints.
What is available if there is interest
a canonical figure walkthrough with claims, boundaries, caveats, and open questions
a background report on the substrate and its current validation state
an appendix page with the CV pipeline, methodology summary, and cross-domain invariance framing
aimez
