# EDC-M-0001: proposed systems model

The original systems model was not supplied. This new qualitative model was created at the user's request on 2026-09-10 UTC. It is a set of inspectable hypotheses, not a reconstruction of the missing model, a literature synthesis, a simulation result or an empirical causal graph.

## Representation

Eight nodes distinguish installed-system density, useful service per joule, delivery infrastructure, cost/access, useful services, scientific computation, aggregate demand and lifecycle burdens. Thirteen directed edges record a conditional proposed effect, an assumption and a discriminating test. Strengths are null. The arrows describe the question being asked, not an established causal influence; signs can change with context.

`research/models/EDC-M-0001.json` is canonical. The public explorer presents exactly those edge records. Equal line weights deliberately carry no magnitude. The explorer highlights only the selected factor’s connections. On narrow screens, a simple button grid replaces the diagram; the same connection details remain available. Context citations explain a mechanism or term; the separate effect-evidence arrays are empty. No sector ranking or centrality calculation is performed.

## How to make it testable

Choose a bounded service. Operationalize each relevant variable with units and scope. State confounders, direction, delays, feedback, interventions and a plausible counterfactual. Identify evidence for each retained edge; justify exclusions. Estimate only effects supported by the study design and report uncertainty, sensitivity and source dependence. Compare the resulting intervention with feasible alternatives.

## Coverage questions

Climate: lifecycle and total emissions. Transportation: payload, duty cycle and delivery. Agriculture: energy alongside water, land and nutrients. Computation: task quality and hardware. Industry: process temperature and uptime. Finance: capital access. Supply chains: bottlenecks and substitution. Geopolitics: concentration and dependencies. Infrastructure: construction, replacement and timing.

These are lenses for finding omissions, not evidence that density controls these sectors. Feedback can reverse an apparent benefit. A high-degree node can be an artifact of graph construction. Neither the number of edges nor the diagram's center identifies the best problem to solve.