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Mission › Designing in the Open
Designing in the Open

The Open-Data Philosophy

We publish the inputs and outputs, not just the conclusions, because a result you cannot inspect the data behind is a result you have to take on faith.

Data first, conclusions second

A conclusion is the end of an argument; the data is the argument. Kronos publishes the data behind each paper so that a reader can reconstruct the reasoning rather than accept the headline. For a design-and-simulation program, the data includes the parameter inputs, the intermediate results of the sweeps, and the outputs that become the figures in the paper.

What open data has to include to be useful

Open, but bounded

Open data does not mean everything. The deposits carry the physics record and deliberately exclude economics and any confidential material, per the firewall described in what we don't publish. The boundary is itself stated openly, so no reader is left guessing whether something was withheld.

Why this is the honest default

When only conclusions are published, disagreements cannot be resolved — two parties simply assert different numbers. When the data is public, a disagreement becomes a shared, checkable question. That is the entire point of the open-science strategy: to convert claims into things that can be settled by rerunning them.

We would rather publish a dataset that exposes a weakness than a conclusion that hides one.

Content reviewed August 2026 · design-and-simulation stage