04 / Programs / Computational Continuity

Computational Continuity Program

How can computational knowledge and digital artifacts remain understandable, verifiable, and usable across technological generations?

Rationale

The digital record is fragile in ways that are poorly understood outside specialist communities. Software written ten years ago may not execute today. Data collected twenty years ago may not be interpretable. Simulations run thirty years ago may be impossible to verify. As technological generations accelerate, this degradation compounds.

This is not primarily a storage problem. Storage capacity is cheap and improving. The problem is computational continuity — the ability to not merely preserve bits, but to preserve the ability to execute, understand, and verify what those bits represent. A program stored on a perfect medium is useless if no environment exists to run it. A dataset is meaningless if the schema, provenance, and processing pipeline are lost.

The Computational Continuity Program treats this as a first-class scientific problem. We develop formal frameworks for describing execution environments, methodologies for recovering interpretability from partial artifacts, and protocols for ensuring that computational knowledge remains verifiable across generational change.

Central Research Question

"How can computational knowledge and digital artifacts remain understandable, verifiable, and usable across technological generations?"

Technologies

CHRONOS

A framework for the long-term preservation and re-execution of computational artifacts. CHRONOS addresses the problem of software rot — the progressive loss of executability as surrounding systems evolve. It provides formal specifications for execution environments and protocols for capturing and re-instantiating historical computation.

EXCAVATOR

A methodology for recovering interpretable structure from computational artifacts whose context has been partially lost. EXCAVATOR applies analysis techniques to reconstruct intent, purpose, and function from code and data whose documentation, runtime environment, or original context is no longer available.

Registered Projects

No projects registered yet.

The Computational Continuity Program is in its formation stage. Projects will be registered upon formal approval according to the SHINGETSU Research Identifier Policy.