Vesterstrøm Labs / Research program
Reverse engineering
cognition.
Research instruments for measuring how understanding forms in people, organizations, and the systems built around them.
01 / Research program
Measuring cognition
as structure.
The lab studies cognition by reverse engineering the hidden structures behind observable behavior: concepts and revisions in VINCI; communication, transactions, decisions, and dependencies in MIMIR.
Observable traces
Learning behavior in VINCI and operational behavior in MIMIR: timing, revision, messages, transactions, decisions, and dependencies.
Causal structure
Infer the relationships beneath the surface: concepts, workflows, prerequisites, bottlenecks, incentives, and dependency chains.
Approximation and action
Predict likely next states, reveal hidden structure, and make better explanation, routing, coordination, or judgment possible.
02 / Instruments
Two products.
One research substrate.
VINCI and MIMIR are product surfaces, but they are also data instruments: one at the scale of individual understanding, one at the scale of organizational cognition.
03 / Measurement stack
From noise
to structure.
The research agenda is practical: reverse engineer causal relationships from observable traces, approximate what happens next, and reveal the structures that make understanding, coordination, and action possible.
04 / What it opens up
A higher ceiling
for both intellects.
Better cognitive models let humans understand themselves more precisely, and let machines adapt to humans with more context, restraint, and usefulness.
Research program
Vesterstrøm Labs
Reverse engineering cognition. Instruments for measuring how understanding forms in people, organizations, and the systems built around them.
01 / Research substrate
Cognition becomes visible as structure.
The lab studies the hidden structures behind observable behavior: concepts and revisions in VINCI; communication, transactions, decisions, and dependencies in MIMIR.
Observe
Learning behavior, operational history, decisions, revisions, and dependency traces.
Model
Infer the causal structure beneath the visible activity: concepts, workflows, bottlenecks, and incentives.
Act
Use the structure to adapt explanation, routing, coordination, and judgment.
02 / Instruments
Two products. One research substrate.
03 / Measurement stack
From noise to structure.
The agenda is practical: reverse engineer causal relationships from observable traces, approximate what happens next, and reveal the structures that make understanding, coordination, and action possible.
04 / What it opens up
A higher ceiling for both intellects.
Better cognitive models let humans understand themselves more precisely, and let machines adapt to humans with more context, restraint, and usefulness.