What’s the problem? Traditional policy making is reactive. By the time lawmakers regulate a new tech wave, second- and third-order effects have already locked in. We end up with brittle rules that chase yesterday’s risks.
Live demos
- Causal Graph Analysis – tweak an edge weight and see the entire system re-equilibrate.
- Chain Reaction Simulator
- AI Policy Assistant – natural-language back-and-forth with citations to the underlying model
Looking for feedback:
- Which policy domains should we add next? (We’re eyeing housing, economic impact preparedness, and open-source AI).
- Any go-to datasets we should onboard quickly?
- How can we make the uncertainty bands more intuitive for non-quants?
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