ScienceOps
Applying software operations principles to accelerate science
ScienceOps is Sunghyun Cho's vision for applying software operations thinking to scientific research: reproducible experiments, automation, fast iteration, and rigorous provenance. The goal is to collapse the loop between hypothesis and verification by treating experiments as versioned artifacts, closer to code than one-off lab notebooks.
This framing motivates roles like the natural science engineer and creates institutional demand for a cognitive system like Coscientist, which can manage claims, evidence, and rebuttals across many projects.
Reference: https://cho.sh/r/2DE01B (Opens in a New Tab).