Areas of exploration
What makes capability usable?
Infrastructure
The compute, data infrastructure, and measurement tools that support repeatable experiments and practical deployment.
Questions in this area
- What infrastructure makes an experiment easy to repeat and inspect?
- How should datasets, model versions, measurements, and execution records fit together?
- Where do operational costs or missing measurements limit the work a system can support?
What useful evidence looks like
Good experimental infrastructure preserves the conditions of a run and makes its measurements available. A useful record connects data versions, configuration, code, resource use, and outputs. That record supports comparison and gives another reader a practical route to reproducing the work. The interest here is infrastructure that makes research and deployment more accountable and easier to operate.
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