← Experiments
Project Co-designFORAY 180
Wildlife crossing: enquiry emblem with scenario stamp
Deer on a green crossing, with guiding fences, observation camera and monitoring power cabinet
Illustrative scene; the experiments below state their own assumptions.

Toy scenario

Reconnect two habitats across a busy road.

The deer need a usable route; the project needs a crossing, guiding fences and a way to observe what happens. Those choices bring land, cost, construction and power obligations. Four essais explore different parts of that one promise, using explicit toy assumptions.

Can we deliver the whole promise, including the journey to it?

A foray into coupled project choices

Design the
whole promise.

A green bridge is a start. Guidance, observation and delivery must fit it—and each other. Follow those obligations through four different co-design methods.

Start with the crossing · then explore how to build and support it

Can monitoring power cover its own overhead? ↗

ONE SCENARIO · FOUR QUESTIONSThe connections do the work
Four views of the whole crossing A crossing requires guidance and observation. Construction paths govern how those capabilities become available. Programme comparison evaluates delivery assumptions. Monitoring equipment brings a feedback loop of battery, conversion and cooling requirements. The four models are separate, not numerically coupled. CROSSING + GUIDANCEWhich complete configuration fits?OBSERVATIONWhat must be supplied to support it?MONITORING POWERCan it also supply its own overhead? CONSTRUCT A PATHCOMPARE PROGRAMMES SHARED QUESTIONS. SEPARATE, DECLARED MODELS.
The bridge is only part of the promise. Connections expose work and resources that an isolated choice can hide. The arrows here guide the investigation; each essai defines its own mathematical interfaces.

Co-design keeps the requirements and resource trade-offs of connected systems in the same decision.

ONE INVESTIGATION
SEVERAL WAYS IN

Start with the question you have

Four ways to explore.

Start with a complete crossing. Then ask how to deliver it, which programme assumptions matter, and how to support remote observation. Each essai keeps its own units and declared model.

01 · Connect a habitat

What makes a crossing work?

A bridge is one part of the answer. Compose bridge, fencing and monitoring choices; inspect the complete alternatives and the trade-offs they leave between resources.

Wildlife-crossing co-design. A finite component model with explicit interfaces and implementation witnesses.

Explore the crossing
02 · Construct a path

Can we keep the whole promise?

Require declared corridor readiness, shared crews, restricted access or an intermediate milestone. Find feasible action sequences and inspect every step behind the resource trade-offs.

Staged path co-design. Exact finite construction with independently checked witnesses.

Explore delivery paths
03 · Compare programmes

Which trade-offs are worth making?

Compare crossing, guiding-fence and monitoring packages, governance assumptions and four supplied staging strategies. See how interface mismatch and an illustrative approvals loop affect the alternatives.

Programme co-design studio. A broader comparison, with an introductory explanation of coupled requirements.

Open the studio
04 · Size the enabling work

Can monitoring power cover its own overhead?

Remote cameras and sensors need power. Battery packs bring cooling allowances; cooling and conversion need power too. Follow the cycle until a complete monitoring installation emerges.

Monitoring-power co-design. Recorded Python MCDP calculations, with independently checked whole-unit implementations.

Explore the power loop

How the parts fit

A choice must have an implementation.

Specify what the system must provide. Keep combinations whose parts satisfy each other’s requirements. Then compare the resources those complete implementations need.

The crossing, staged-path, programme and monitoring-power models use this common structure at different levels. Their method notes show the actual interfaces and the limits of the construction.

Read the categorical co-design audit ↗

Ideas you can inspect

Sources, assumptions
and working evidence.

These experiments draw on monotone co-design: represent what connected parts must provide, then retain the resource choices that remain incomparable. The method notes connect the actual constructions to Zardini and Censi, and distinguish model assumptions from checked results.

All are illustrative project models. Their different assumptions belong to each experiment; their results are not interchangeable forecasts. “Model crossings/day” is an invented capability proxy, not a prediction of animal behaviour. Staged readiness is a separate management condition.