DIn development · Policy simulation

Cockpit

An agent-based modelling engine to quantitatively run policy scenarios and monetary interventions through — accessible beyond large institutions.

In developmentagent based modellingsimulationpolicy

The challenge

Why evidence-based policy stalls

Policy makers want evidence under their choices, but advanced modelling remains the privilege of large institutes with matching budgets.

Threshold too high

ABM tooling often requires specialised modellers — out of reach for local and regional policy teams.

Static models fall short

Classical macro models miss complexity and behavioural dynamics — exactly where regenerative interventions act.

No safe sandbox

Policy choices are tested in the real world, with real costs when the outcome disappoints.

Our approach

How Cockpit works

An accessible ABM engine to set up scenarios, tune parameters and visually compare outcomes — without needing a team of modellers.

Agent based engine

Scenario comparison

Visual outcomes

Validation & forecasting

What you gain

Outcomes you can expect

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Underpin policy with simulation

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Test interventions before rollout

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Communicate scenarios clearly

4

Build support with evidence

Help build accessible modelling

We are looking for policy teams and researchers to help test and steer. Sign up.

Frequently asked

Good to know

What stage is this project in?

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This project is actively in development. We share progress through our channels and welcome people who want to think along, test, or partner with us.

How can I get involved?

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Let's talk, or reach out through the contact page. We will let you know when there is a chance to test, contribute or use the project in your context.

Is this a fit for my organisation or audience?

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Want to check if this fits your context? Send us a short message about who you are and what you are looking for — we are happy to think along.

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