Experiments
-
Building a digital twin of BC’s highway network
See experiment: Building a digital twin of BC’s highway networkWhat could a digital twin tell us about BC’s highways that individual road reports cannot? We explored how modelling the connected network could reveal risks to community access and help compare responses to storms, closures and wildfires.
-
Can a coding agent trace where government data goes?
See experiment: Can a coding agent trace where government data goes?Tracing where a government application sends its data is hard to do by hand, so we tested whether an AI coding agent could take on the investigation.
-
Estimating AI acceleration in a project budget
See experiment: Estimating AI acceleration in a project budgetWe built a way for vendors and buyers to see the real effect of AI on a software budget, measured task by task against what past projects actually took, and sharpening as more work gets logged.
-
An accountability trail for AI decisions
See experiment: An accountability trail for AI decisionsWhen an AI shapes a decision about a person, can you later show what happened and who was accountable? We built a thin governance layer that records exactly that.
-
Crowdsourcing park accessibility info
See experiment: Crowdsourcing park accessibility infoWe tested whether AI tagging and semantic search could replace the periodic manual update cycle that causes government information services to slowly become unreliable.
-
AI powered staff writing assistant
See experiment: AI powered staff writing assistantWe tested whether a language model could reliably check government web copy against an official style guide and give writers specific, actionable feedback without a human editor in the loop.